Interactive spaces for children: gesture elicitation for controlling ground mini-robots

[EN] Interactive spaces for education are emerging as a mechanism for fostering children's natural ways of learning by means of play and exploration in physical spaces. The advanced interactive modalities and devices for such environments need to be both motivating and intuitive for children. Among the wide variety of interactive mechanisms, robots have been a popular research topic in the context of educational tools due to their attractiveness for children. However, few studies have focused on how children would naturally interact and explore interactive environments with robots. While there is abundant research on full-body interaction and intuitive manipulation of robots by adults, no similar research has been done with children. This paper therefore describes a gesture elicitation study that identified the preferred gestures and body language communication used by children to control ground robots. The results of the elicitation study were used to define a gestural language that covers the different preferences of the gestures by age group and gender, with a good acceptance rate in the 6-12 age range. The study also revealed interactive spaces with robots using body gestures as motivating and promising scenarios for collaborative or remote learning activities.This work is funded by the European Development Regional Fund (EDRF-FEDER) and supported by the Spanish MINECO (TIN2014-60077-R). The work of Patricia Pons is supported by a national grant from the Spanish MECD (FPU13/03831). Special thanks are due to the children and teachers of the Col-legi Public Vicente Gaos for their valuable collaboration and dedication.Pons Tomás, P.; Jaén Martínez, FJ. (2020). Interactive spaces for children: gesture elicitation for controlling ground mini-robots. Journal of Ambient Intelligence and Humanized Computing. 11(6):2467-2488. https://doi.org/10.1007/s12652-019-01290-6S24672488116Alborzi H, Hammer J, Kruskal A et al (2000) Designing StoryRooms: interactive storytelling spaces for children. In: Proceedings of the conference on designing interactive systems processes, practices, methods, and techniques—DIS’00. ACM Press, New York, pp 95–104Antle AN, Corness G, Droumeva M (2009) What the body knows: exploring the benefits of embodied metaphors in hybrid physical digital environments. Interact Comput 21:66–75. https://doi.org/10.1016/j.intcom.2008.10.005Belpaeme T, Baxter PE, Read R et al (2013) Multimodal child–robot interaction: building social bonds. J Human-Robot Interact 1:33–53. https://doi.org/10.5898/JHRI.1.2.BelpaemeBenko H, Wilson AD, Zannier F, Benko H (2014) Dyadic projected spatial augmented reality. In: Proceedings of the 27th annual ACM symposium on user interface software and technology—UIST’14, pp 645–655Bobick AF, Intille SS, Davis JW et al (1999) The KidsRoom: a perceptually-based interactive and immersive story environment. Presence Teleoper Virtual Environ 8:367–391. https://doi.org/10.1162/105474699566297Bonarini A, Clasadonte F, Garzotto F, Gelsomini M (2015) Blending robots and full-body interaction with large screens for children with intellectual disability. In: Proceedings of the 14th international conference on interaction design and children—IDC’15. ACM Press, New York, pp 351–354Cauchard JR, E JL, Zhai KY, Landay JA (2015) Drone & me: an exploration into natural human–drone interaction. In: Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing—UbiComp’15. ACM Press, New York, pp 361–365Connell S, Kuo P-Y, Liu L, Piper AM (2013) A Wizard-of-Oz elicitation study examining child-defined gestures with a whole-body interface. In: Proceedings of the 12th international conference on interaction design and children—IDC’13. ACM Press, New York, pp 277–280Derboven J, Van Mechelen M, Slegers K (2015) Multimodal analysis in participatory design with children. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems—CHI’15. ACM Press, New York, pp 2825–2828Dong H, Danesh A, Figueroa N, El Saddik A (2015) An elicitation study on gesture preferences and memorability toward a practical hand-gesture vocabulary for smart televisions. IEEE Access 3:543–555. https://doi.org/10.1109/ACCESS.2015.2432679Druin A (1999) Cooperative inquiry: developing new technologies for children with children. In: Proceedings of the SIGCHI conference on human factors computer system CHI is limit—CHI’99, vol 14, pp 592–599. https://doi.org/10.1145/302979.303166Druin A (2002) The role of children in the design of new technology. Behav Inf Technol 21:1–25. https://doi.org/10.1080/01449290110108659Druin A, Bederson B, Boltman A et al (1999) Children as our technology design partners. In: Druin A (ed) The design of children’s technology. Morgan Kaufman, San Francisco, pp 51–72Epps J, Lichman S, Wu M (2006) A study of hand shape use in tabletop gesture interaction. CHI’06 extended abstracts on human factors in computing systems—CHI EA’06. ACM Press, New York, pp 748–753Fender AR, Benko H, Wilson A (2017) MeetAlive : room-scale omni-directional display system for multi-user content and control sharing. In: Proceedings of the 2017 ACM international conference on interactive surfaces and spaces, pp 106–115Fernandez RAS, Sanchez-Lopez JL, Sampedro C et al (2016) Natural user interfaces for human–drone multi-modal interaction. In: 2016 international conference on unmanned aircraft systems (ICUAS). IEEE, New York, pp 1013–1022Garcia-Sanjuan F, Jaen J, Nacher V, Catala A (2015) Design and evaluation of a tangible-mediated robot for kindergarten instruction. In: Proceedings of the 12th international conference on advances in computer entertainment technology—ACE’15. ACM Press, New York, pp 1–11Garcia-Sanjuan F, Jaen J, Jurdi S (2016) Towards encouraging communication in hospitalized children through multi-tablet activities. In: Proceedings of the XVII international conference on human computer interaction, pp 29.1–29.4Gindling J, Ioannidou A, Loh J et al (1995) LEGOsheets: a rule-based programming, simulation and manipulation environment for the LEGO programmable brick. In: Proceedings of symposium on visual languages. IEEE Computer Society Press, New York, pp 172–179Gonzalez B, Borland J, Geraghty K (2009) Whole body interaction for child-centered multimodal language learning. In: Proceedings of the 2nd workshop on child, computer and interaction—WOCCI’09. ACM Press, New York, pp 1–5Grønbæk K, Iversen OS, Kortbek KJ et al (2007) Interactive floor support for kinesthetic interaction in children learning environments. In: Human–computer interaction—INTERACT 2007. Lecture notes in computer science, pp 361–375Guha ML, Druin A, Chipman G et al (2005) Working with young children as technology design partners. Commun ACM 48:39–42. https://doi.org/10.1145/1039539.1039567Hansen JP, Alapetite A, MacKenzie IS, Møllenbach E (2014) The use of gaze to control drones. In: Proceedings of the symposium on eye tracking research and applications—ETRA’14. ACM Press, New York, pp 27–34Henkemans OAB, Bierman BPB, Janssen J et al (2017) Design and evaluation of a personal robot playing a self-management education game with children with diabetes type 1. Int J Hum Comput Stud 106:63–76. https://doi.org/10.1016/j.ijhcs.2017.06.001Horn MS, Crouser RJ, Bers MU (2011) Tangible interaction and learning: the case for a hybrid approach. Pers Ubiquitous Comput 16:379–389. https://doi.org/10.1007/s00779-011-0404-2Hourcade JP (2015) Child computer interaction. CreateSpace Independent Publishing Platform, North CharlestonHöysniemi J, Hämäläinen P, Turkki L (2004) Wizard of Oz prototyping of computer vision based action games for children. Proceeding of the 2004 conference on interaction design and children building a community—IDC’04. ACM Press, New York, pp 27–34Höysniemi J, Hämäläinen P, Turkki L, Rouvi T (2005) Children’s intuitive gestures in vision-based action games. Commun ACM 48:44–50. https://doi.org/10.1145/1039539.1039568Hsiao H-S, Chen J-C (2016) Using a gesture interactive game-based learning approach to improve preschool children’s learning performance and motor skills. Comput Educ 95:151–162. https://doi.org/10.1016/j.compedu.2016.01.005Jokela T, Rezaei PP, Väänänen K (2016) Using elicitation studies to generate collocated interaction methods. In: Proceedings of the 18th international conference on human–computer interaction with mobile devices and services adjunct, pp 1129–1133. https://doi.org/10.1145/2957265.2962654Jones B, Benko H, Ofek E, Wilson AD (2013) IllumiRoom: peripheral projected illusions for interactive experiences. In: Proceedings of the SIGCHI conference on human factors in computing systems—CHI’13, pp 869–878Jones B, Shapira L, Sodhi R et al (2014) RoomAlive: magical experiences enabled by scalable, adaptive projector-camera units. In: Proceedings of the 27th annual ACM symposium on user interface software and technology—UIST’14, pp 637–644Kaminski M, Pellino T, Wish J (2002) Play and pets: the physical and emotional impact of child-life and pet therapy on hospitalized children. Child Heal Care 31:321–335. https://doi.org/10.1207/S15326888CHC3104_5Karam M, Schraefel MC (2005) A taxonomy of gestures in human computer interactions. In: Technical report in electronics and computer science, pp 1–45Kistler F, André E (2013) User-defined body gestures for an interactive storytelling scenario. Lect Notes Comput Sci (including subser Lect Notes Artif Intell Lect Notes Bioinform) 8118:264–281. https://doi.org/10.1007/978-3-642-40480-1_17Konda KR, Königs A, Schulz H, Schulz D (2012) Real time interaction with mobile robots using hand gestures. In: Proceedings of the seventh annual ACM/IEEE international conference on human–robot interaction—HRI’12. ACM Press, New York, pp 177–178Kray C, Nesbitt D, Dawson J, Rohs M (2010) User-defined gestures for connecting mobile phones, public displays, and tabletops. In: Proceedings of the 12th international conference on human computer interaction with mobile devices and services—MobileHCI’10. ACM Press, New York, pp 239–248Kurdyukova E, Redlin M, André E (2012) Studying user-defined iPad gestures for interaction in multi-display environment. In: Proceedings of the 2012 ACM international conference on intelligent user interfaces—IUI’12. ACM Press, New York, pp 93–96Lambert V, Coad J, Hicks P, Glacken M (2014) Social spaces for young children in hospital. Child Care Health Dev 40:195–204. https://doi.org/10.1111/cch.12016Lee S-S, Chae J, Kim H et al (2013) Towards more natural digital content manipulation via user freehand gestural interaction in a living room. In: Proceedings of the 2013 ACM international joint conference on pervasive and ubiquitous computing—UbiComp’13. ACM Press, New York, p 617Malinverni L, Mora-Guiard J, Pares N (2016) Towards methods for evaluating and communicating participatory design: a multimodal approach. Int J Hum Comput Stud 94:53–63. https://doi.org/10.1016/j.ijhcs.2016.03.004Mann HB, Whitney DR (1947) On a test of whether one of two random variables is stochastically larger than the other. Ann Math Stat 18:50–60. https://doi.org/10.1214/aoms/1177730491Marco J, Cerezo E, Baldassarri S et al (2009) Bringing tabletop technologies to kindergarten children. In: Proceedings of the 23rd British HCI Group annual conference on people and computers: celebrating people and technology, pp 103–111Michaud F, Caron S (2002) Roball, the rolling robot. Auton Robots 12:211–222. https://doi.org/10.1023/A:1014005728519Micire M, Desai M, Courtemanche A et al (2009) Analysis of natural gestures for controlling robot teams on multi-touch tabletop surfaces. In: Proceedings of the ACM international conference on interactive tabletops and surfaces—ITS’09. ACM Press, New York, pp 41–48Mora-Guiard J, Crowell C, Pares N, Heaton P (2016) Lands of fog: helping children with autism in social interaction through a full-body interactive experience. In: Proceedings of the 15th international conference on interaction design and children—IDC’16. ACM Press, New York, pp 262–274Morris MR (2012) Web on the wall: insights from a multimodal interaction elicitation study. In: Proceedings of the 2012 ACM international conference on interactive tabletops and surfaces. ACM Press, New York, pp 95–104Morris MR, Wobbrock JO, Wilson AD (2010) Understanding users’ preferences for surface gestures. Proc Graph Interface 2010:261–268Nacher V, Garcia-Sanjuan F, Jaen J (2016) Evaluating the usability of a tangible-mediated robot for kindergarten children instruction. In: 2016 IEEE 16th international conference on advanced learning technologies (ICALT). IEEE, New York, pp 130–132Nahapetyan VE, Khachumov VM (2015) Gesture recognition in the problem of contactless control of an unmanned aerial vehicle. Optoelectron Instrum Data Process 51:192–197. https://doi.org/10.3103/S8756699015020132Obaid M, Häring M, Kistler F et al (2012) User-defined body gestures for navigational control of a humanoid robot. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), pp 367–377Obaid M, Kistler F, Häring M et al (2014) A framework for user-defined body gestures to control a humanoid robot. Int J Soc Robot 6:383–396. https://doi.org/10.1007/s12369-014-0233-3Obaid M, Kistler F, Kasparavičiūtė G, et al (2016) How would you gesture navigate a drone?: a user-centered approach to control a drone. In: Proceedings of the 20th international academic Mindtrek conference—AcademicMindtrek’16. ACM Press, New York, pp 113–121Pares N, Soler M, Sanjurjo À et al (2005) Promotion of creative activity in children with severe autism through visuals in an interactive multisensory environment. In: Proceeding of the 2005 conference on interaction design and children—IDC’05. ACM Press, New York, pp 110–116Pfeil K, Koh SL, LaViola J (2013) Exploring 3D gesture metaphors for interaction with unmanned aerial vehicles. In: Proceedings of the 2013 international conference on intelligent user interfaces—IUI’13, pp 257–266. https://doi.org/10.1145/2449396.2449429Piaget J (1956) The child’s conception of space. Norton, New YorkPiaget J (1973) The child and reality: problems of genetic psychology. Grossman, New YorkPiumsomboon T, Clark A, Billinghurst M, Cockburn A (2013) User-defined gestures for augmented reality. CHI’13 extended abstracts on human factors in computing systems—CHI EA’13. ACM Press, New York, pp 955–960Pons P, Carrión A, Jaen J (2018) Remote interspecies interactions: improving humans and animals’ wellbeing through mobile playful spaces. Pervasive Mob Comput. https://doi.org/10.1016/j.pmcj.2018.12.003Puranam MB (2005) Towards full-body gesture analysis and recognition. University of Kentucky, LexingtonPyryeskin D, Hancock M, Hoey J (2012) Comparing elicited gestures to designer-created gestures for selection above a multitouch surface. In: Proceedings of the 2012 ACM international conference on interactive tabletops and surfaces—ITS’12. ACM Press, New York, pp 1–10Raffle HS, Parkes AJ, Ishii H (2004) Topobo: a constructive assembly system with kinetic memory. System 6:647–654. https://doi.org/10.1145/985692.985774Read JC, Markopoulos P (2013) Child–computer interaction. Int J Child-Comput Interact 1:2–6. https://doi.org/10.1016/j.ijcci.2012.09.001Read JC, Macfarlane S, Casey C (2002) Endurability, engagement and expectations: measuring children’s fun. In: Interaction design and children, pp 189–198Read JC, Markopoulos P, Parés N et al (2008) Child computer interaction. In: Proceeding of the 26th annual CHI conference extended abstracts on human factors in computing systems—CHI’08. ACM Press, New York, pp 2419–2422Robins B, Dautenhahn K (2014) Tactile interactions with a humanoid robot: novel play scenario implementations with children with autism. Int J Soc Robot 6:397–415. https://doi.org/10.1007/s12369-014-0228-0Robins B, Dautenhahn K, Te Boekhorst R, Nehaniv CL (2008) Behaviour delay and robot expressiveness in child–robot interactions: a user study on interaction kinesics. In: Proceedings of the 3rd ACMIEEE international conference on human robot interaction, pp 17–24. https://doi.org/10.1145/1349822.1349826Ruiz J, Li Y, Lank E (2011) User-defined motion gestures for mobile interaction. In: Proceedings of the 2011 annual conference on human factors in computing systems—CHI’11. ACM Press, New York, p 197Rust K, Malu M, Anthony L, Findlater L (2014) Understanding childdefined gestures and children’s mental models for touchscreen tabletop interaction. In: Proceedings of the 2014 conference on interaction design and children—IDC’14. ACM Press, New York, pp 201–204Salter T, Dautenhahn K, Te Boekhorst R (2006) Learning about natural human-robot interaction styles. Robot Auton Syst 54:127–134. https://doi.org/10.1016/j.robot.2005.09.022Sanghvi J, Castellano G, Leite I et al (2011) Automatic analysis of affective postures and body motion to detect engagement with a game companion. In: Proceedings of the 6th international conference on human–robot interaction—HRI’11. ACM Press, New York, pp 305–311Sanna A, Lamberti F, Paravati G, Manuri F (2013) A Kinect-based natural interface for quadrotor control. Entertain Comput 4:179–186. https://doi.org/10.1016/j.entcom.2013.01.001Sato E, Yamaguchi T, Harashima F (2007) Natural interface using pointing behavior for human–robot gestural interaction. IEEE Trans Ind Electron 54:1105–1112. https://doi.org/10.1109/TIE.2007.892728Schaper M-M, Pares N (2016) Making sense of body and space through full-body interaction design. In: Proceedings of the 15th international conference on interaction design and children—IDC’16. ACM Press, New York, pp 613–618Schaper M-M, Malinverni L, Pares N (2015) Sketching through the body: child-generated gestures in full-body interaction design. In: Proceedings of the 14th international conference on interaction design and children—IDC’15. ACM Press, New York, pp 255–258Seyed T, Burns C, Costa Sousa M et al (2012) Eliciting usable gestures for multi-display environments. In: Proceedings of the 2012 ACM international conference on interactive tabletops and surfaces—ITS’12. ACM Press, New York, p 41Shimon SSA, Morrison-Smith S, John N et al (2015) Exploring user-defined back-of-device gestures for mobile devices. In: Proceedings of the 17th international conference on human–computer interaction with mobile devices and services—MobileHCI’15. ACM Press, New York, pp 227–232Sipitakiat A, Nusen N (2012) Robo-blocks: a tangible programming system with debugging for children. In: Proceedings of the 11th international conference on interaction design and children—IDC’12. ACM Press, New York, p 98Soler-Adillon J, Ferrer J, Pares N (2009) A novel approach to interactive playgrounds: the interactive slide project. In: Proceedings of the 8th international conference on interaction design and children—IDC’09. ACM Press, New York, pp 131–139Stiefelhagen R, Fogen C, Gieselmann P et al (2004) Natural human–robot interaction using speech, head pose and gestures. In: 2004 IEEE/RSJ international conference on intelligent robots and systems (IROS) (IEEE Cat. No. 04CH37566). IEEE, New York, pp 2422–2427Subrahmanyam K, Greenfield PM (1994) Effect of video game practice on spatial skills in girls and boys. J Appl Dev Psychol 15:13–32. https://doi.org/10.1016/0193-3973(94)90004-3Sugiyama J, Tsetserukou D, Miura J (2011) NAVIgoid: robot navigation with haptic vision. In: SIGGRAPH Asia 2011 emerging technologies SA’11, vol 15, p 4503. https://doi.org/10.1145/2073370.2073378Takahashi T, Morita M, Tanaka F (2012) Evaluation of a tricycle-style teleoperational interface for children: a comparative experiment with a video game controller. In: 2012 IEEE RO-MAN: the 21st IEEE international symposium on robot and human interactive communication. IEEE, New York, pp 334–338Tanaka F, Takahashi T (2012) A tricycle-style teleoperational interface that remotely controls a robot for classroom children. In: Proceedings of the seventh annual ACM/IEEE international conference on human–robot interaction—HRI’12. ACM Press, New York, pp 255–256Tjaden L, Tong A, Henning P et al (2012) Children’s experiences of dialysis: a systematic review of qualitative studies. Arch Dis Child 97:395–402. https://doi.org/10.1136/archdischild-2011-300639Vatavu R-D (2012) User-defined gestures for free-hand TV control. In: Proceedings of the 10th European conference on interactive TV and video—EuroiTV’12. ACM Press, New York, pp 45–48Vatavu R-D (2017) Smart-Pockets: body-deictic gestures for fast access to personal data during ambient interactions. Int J Hum Comput Stud 103:1–21. https://doi.org/10.1016/j.ijhcs.2017.01.005Vatavu R-D, Wobbrock JO (2015) Formalizing agreement analysis for elicitation studies: new measures, significance test, and toolkit. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems—CHI’15. ACM Press, New York, pp 1325–1334Vatavu R-D, Wobbrock JO (2016) Between-subjects elicitation studies: formalization and tool support. In: Proceedings of the 2016 CHI conference on human factors in computing systems—CHI’16. ACM Press, New York, pp 3390–3402Voyer D, Voyer S, Bryden MP (1995) Magnitude of sex differences in spatial abilities: a meta-analysis and consideration of critical variables. Psychol Bull 117:250–270. https://doi.org/10.1037/0033-2909.117.2.250Wainer J, Robins B, Amirabdollahian F, Dautenhahn K (2014) Using the humanoid robot KASPAR to autonomously play triadic games and facilitate collaborative play among children with autism. IEEE Trans Auton Ment Dev 6:183–199. https://doi.org/10.1109/TAMD.2014.2303116Wang Y, Zhang L (2015) A track-based gesture recognition algorithm for Kinect. Appl Mech Mater 738–7399:334–338. https://doi.org/10.4028/www.scientific.net/AMM.738-739.334

Accessibility and tangible interaction in distributed workspaces based on multi-touch surfaces

[EN] Traditional interaction mechanisms in distributed digital spaces often fail to consider the intrinsic properties of action, perception, and communication among workgroups, which may affect access to the common resources used to mutually organize information. By developing suitable spatial geometries and natural interaction mechanisms, distributed spaces can become blended where the physical and virtual boundaries of local and remote spaces merge together to provide the illusion of a single unified space. In this paper, we discuss the importance of blended interaction in distributed spaces and the particular challenges faced when designing accessible technology. We illustrate this discussion through a new tangible interaction mechanism for collaborative spaces based on tabletop system technology implemented with optical frames. Our tangible elements facilitate the exchange of digital information in distributed collaborative settings by providing a physical manifestation of common digital operations. The tangibles are designed as passive elements that do not require the use of any additional hardware or external power while maintaining a high degree of accuracy.This work was supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund, through the ANNOTA Project (Ref. TIN2013-46036-C3-1-R).Salvador-Herranz, G.; Camba, J.; Contero, M.; Naya Sanchis, F. (2018). Accessibility and tangible interaction in distributed workspaces based on multi-touch surfaces. Universal Access in the Information Society. 17(2):247-256. https://doi.org/10.1007/s10209-017-0563-7S247256172Arkin, E.M., Chew, L.P., Huttenlocher, D.P., Kedem, K., Mitchell, J.S.B.: An efficiently computable metric for comparing polygonal shapes. IEEE Trans. Acoust. Speech Signal Process. 13(3), 209–216 (1991)Benyon, D.: Presence in blended spaces. Interact. Comput. 24(4), 219–226 (2012)Bhalla, M.R., Bhalla, A.V.: Comparative study of various touchscreen technologies. Int. J. Comput. Appl. 6(8), 12–18 (2010)Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Media Inc., Newton (2008)Candela, E.S., Pérez, M.O., Romero, C.M., López, D.C.P., Herranz, G.S., Contero, M., Raya, M.A.: Humantop: a multi-object tracking tabletop. Multimed. Tools Appl. 70(3), 1837–1868 (2014)Cohen, J., Withgott, M., Piernot, P.: Logjam: a tangible multi-person interface for video logging. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 128–135. ACM (1999)Couture, N., Rivière, G., Reuter, P.: Geotui: a tangible user interface for geoscience. In: Proceedings of the 2nd International Conference on Tangible and Embedded Interaction, pp. 89–96. ACM (2008)de la Guía, E., Lozano, M.D., Penichet, V.R.: Cognitive rehabilitation based on collaborative and tangible computer games. In: 2013 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 389–392. IEEE (2013)Dietz, P., Leigh, D.: Diamondtouch: a multi-user touch technology. In: Proceedings of the 14th Annual ACM Symposium on User Interface Software and Technology, pp. 219–226. ACM (2001)Falcão, T.P., Price, S.: What have you done! the role of ‘interference’ in tangible environments for supporting collaborative learning. In: Proceedings of the 9th International Conference on Computer Supported Collaborative Learning-Volume 1, pp. 325–334. International Society of the Learning Sciences (2009)Fallman, D.: Wear, point and tilt. In: Proceedings of the Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, pp. 293–302. ACM Press (2002)Fishkin, K.P., Gujar, A., Harrison, B.L., Moran, T.P., Want, R.: Embodied user interfaces for really direct manipulation. Commun. ACM 43(9), 74–80 (2000)Fitzmaurice, G.W., Buxton, W.: An empirical evaluation of graspable user interfaces: towards specialized, space-multiplexed input. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, pp. 43–50. ACM (1997)Fitzmaurice, G.W., Ishii, H., Buxton, W.A.: Bricks: laying the foundations for graspable user interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 442–449. ACM Press (1995)Graham, R.L., Yao, F.F.: Finding the convex hull of a simple polygon. J. Algorithms 4(4), 324–331 (1983)Hartigan, J.A., Wong, M.A.: Algorithm as 136: a k-means clustering algorithm. J. R. Stat. Soc.: Ser. C (Appl. Stat.) 28(1), 100–108 (1979)Higgins, S.E., Mercier, E., Burd, E., Hatch, A.: Multi-touch tables and the relationship with collaborative classroom pedagogies: a synthetic review. Int. J. Comput. Support. Collab. Learn. 6(4), 515–538 (2011)Hinckley, K., Pausch, R., Goble, J.C., Kassell, N.F.: Passive real-world interface props for neurosurgical visualization. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 452–458. ACM (1994)Hinske, S.: Determining the position and orientation of multi-tagged objects using RFID technology. In: 5th Annual IEEE International Conference on Pervasive Computing and Communications Workshops, 2007. PerCom Workshops’07, pp. 377–381. IEEE (2007)Hornecker, E.: A design theme for tangible interaction: embodied facilitation. In: ECSCW 2005, pp. 23–43. Springer (2005)Hoshi, K., Öhberg, F., Nyberg, A.: Designing blended reality space: conceptual foundations and applications. In: Proceedings of the 25th BCS Conference on Human–Computer Interaction, pp. 217–226. British Computer Society (2011)Ishii, H.: Tangible User Interfaces. CRC Press, Boca Raton (2007)Ishii, H., Ullmer, B.: Tangible bits: towards seamless interfaces between people, bits and atoms. In: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, pp. 234–241. ACM (1997)Jacob, R.J., Girouard, A., Hirshfield, L.M., Horn, M.S., Shaer, O., Solovey, E.T., Zigelbaum, J.: Reality-based interaction: a framework for post-wimp interfaces. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 201–210. ACM (2008)Jetter, H.C., Dachselt, R., Reiterer, H., Quigley, A., Benyon, D., Haller, M.: Blended Interaction: Envisioning Future Collaborative Interactive Spaces. ACM, New York (2013)Jin, X., Han, J.: Quality threshold clustering. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning, pp. 820–820. Springer, Boston, MA (2011)Jordà, S., Geiger, G., Alonso, M., Kaltenbrunner, M.: The reactable: exploring the synergy between live music performance and tabletop tangible interfaces. In: Proceedings of the 1st International Conference on Tangible and Embedded Interaction, pp. 139–146. ACM (2007)Kaltenbrunner, M., Bovermann, T., Bencina, R., Costanza, E.: Tuio: a protocol for table-top tangible user interfaces. In: Proceedings of the 6th International Workshop on Gesture in Human–Computer Interaction and Simulation, pp. 1–5 (2005)Kirk, D., Sellen, A., Taylor, S., Villar, N., Izadi, S.: Putting the physical into the digital: issues in designing hybrid interactive surfaces. In: Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology, pp. 35–44. British Computer Society (2009)Marques, T., Nunes, F., Silva, P., Rodrigues, R.: Tangible interaction on tabletops for elderly people. In: International Conference on Entertainment Computing, pp. 440–443. Springer (2011)Müller, D.: Mixed reality systems. iJOE 5(S2), 10–11 (2009)Newton-Dunn, H., Nakano, H., Gibson, J.: Block jam: a tangible interface for interactive music. In: Proceedings of the 2003 Conference on New Interfaces for Musical Expression, pp. 170–177. National University of Singapore (2003)Patten, J., Recht, B., Ishii, H.: Audiopad: a tag-based interface for musical performance. In: Proceedings of the 2002 Conference on New Interfaces for Musical Expression, pp. 1–6. National University of Singapore (2002)Patten, J., Recht, B., Ishii, H.: Interaction techniques for musical performance with tabletop tangible interfaces. In: Proceedings of the 2006 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology, p. 27. ACM (2006)PQLabs: Inc. http://multitouch.com/ . Retrieved on 16 October 2016Ryokai, K., Marti, S., Ishii, H.: I/o brush: drawing with everyday objects as ink. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI’04, pp. 303–310. ACM, New York (2004). doi: 10.1145/985692.985731Salvador, G., Bañó, M., Contero, M., Camba, J.: Evaluation of a distributed collaborative workspace as a creativity tool in the context of design education. In: 2014 IEEE Frontiers in Education Conference (FIE) Proceedings, pp. 1–7. IEEE (2014)Salvador-Herranz, G., Contero, M., Camba, J.: Use of tangible marks with optical frame interactive surfaces in collaborative design scenarios based on blended spaces. In: International Conference on Cooperative Design, Visualization and Engineering, pp. 253–260. Springer (2014)Salvador-Herranz, G., Camba, J.D., Naya, F., Contero, M.: On the integration of tangible elements with multi-touch surfaces for the collaborative creation of concept maps. In: International Conference on Learning and Collaboration Technologies, pp. 177–186. Springer (2016)Schöning, J., Hook, J., Bartindale, T., Schmidt, D., Oliver, P., Echtler, F., Motamedi, N., Brandl, P., von Zadow, U.: Building interactive multi-touch surfaces. In: Müller-Tomfelde, C. (ed.) Tabletops-Horizontal Interactive Displays, pp. 27–49. Springer, London, UK (2010)Shaer, O., Hornecker, E.: Tangible user interfaces: past, present, and future directions. Found. Trends Hum. Comput. Interact. 3(1–2), 1–137 (2010)Shen, C., Everitt, K., Ryall, K.: Ubitable: Impromptu face-to-face collaboration on horizontal interactive surfaces. In: International Conference on Ubiquitous Computing, pp. 281–288. Springer (2003)Suzuki, H., Kato, H.: Algoblock: a tangible programming language, a tool for collaborative learning. In: Proceedings of 4th European Logo Conference, pp. 297–303 (1993)Suzuki, H., Kato, H.: Interaction-level support for collaborative learning: Algoblockan open programming language. In: The 1st International Conference on Computer Support for Collaborative Learning, pp. 349–355. L. Erlbaum Associates Inc. (1995)Terrenghi, L., Kirk, D., Richter, H., Krämer, S., Hilliges, O., Butz, A.: Physical handles at the interactive surface: exploring tangibility and its benefits. In: Proceedings of the Working Conference on Advanced Visual Interfaces, pp. 138–145. ACM (2008)Veltkamp, R.C.: Shape matching: similarity measures and algorithms. In: SMI 2001 International Conference on Shape Modeling and Applications, pp. 188–197. IEEE (2001)Weinberg, G., Gan, S.L.: The squeezables: Toward an expressive and interdependent multi-player musical instrument. Comput. Music J. 25(2), 37–45 (2001)Weiser, M.: Some computer science issues in ubiquitous computing. Commun. ACM 36(7), 75–84 (1993)Wilson, F.: The hand: how its use shapes the brain, language, and human culture. Vintage Series. Vintage Books (1998). https://books.google.es/books?id=l_Boy_-NkwUCZuckerman, O., Arida, S., Resnick, M.: Extending tangible interfaces for education: digital montessori-inspired manipulatives. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 859–868. ACM (2005

Envisioning Future Playful Interactive Environments for Animals

The final publication is available at Springer via http://dx.doi.org/10.1007/978-981-287-546-4_6Play stands as one of the most natural and inherent behavior among the majority of living species, specifically humans and animals. Human play has evolved significantly over the years, and so have done the artifacts which allow us to play: from children playing tag games without any tools other than their bodies, to modern video games using haptic and wearable devices to augment the playful experience. However, this ludic revolution has not been the same for the humans’ closest companions, our pets. Recently, a new discipline inside the human–computer interaction (HCI) community, called animal–computer interaction (ACI), has focused its attention on improving animals’ welfare using technology. Several works in the ACI field rely on playful interfaces to mediate this digital communication between animals and humans. Until now, the development of these interfaces only comprises a single goal or activity, and its adaptation to the animals’ needs requires the developers’ intervention. This work analyzes the existing approaches, proposing a more generic and autonomous system aimed at addressing several aspects of animal welfare at a time: Intelligent Playful Environments for Animals. The great potential of these systems is discussed, explaining how incorporating intelligent capabilities within playful environments could allow learning from the animals’ behavior and automatically adapt the game to the animals’ needs and preferences. The engaging playful activities created with these systems could serve different purposes and eventually improve animals’ quality of life.This work was partially funded by the Spanish Ministry of Science andInnovation under the National R&D&I Program within the projects Create Worlds (TIN2010-20488) and SUPEREMOS (TIN2014-60077-R), and from Universitat Politècnica de València under Project UPV-FE-2014-24. It also received support from a postdoctoral fellowship within theVALi+d Program of the Conselleria d’Educació, Cultura I Esport (Generalitat Valenciana) awarded to Alejandro Catalá (APOSTD/2013/013). The work of Patricia Pons has been supported by the Universitat Politècnica de València under the “Beca de Excelencia” program and currently by an FPU fellowship from the Spanish Ministry of Education, Culture, and Sports (FPU13/03831).Pons Tomás, P.; Jaén Martínez, FJ.; Catalá Bolós, A. (2015). Envisioning Future Playful Interactive Environments for Animals. En More Playful User Interfaces: Interfaces that Invite Social and Physical Interaction. Springer. 121-150. https://doi.org/10.1007/978-981-287-546-4_6S121150Alfrink, K., van Peer, I., Lagerweij H, et al.: Pig Chase. Playing with Pigs project. (2012) www.playingwithpigs.nlAmat, M., Camps, T., Le, Brech S., Manteca, X.: Separation anxiety in dogs: the implications of predictability and contextual fear for behavioural treatment. Anim. Welf. 23(3), 263–266 (2014). doi: 10.7120/09627286.23.3.263Barker, S.B., Dawson, K.S.: The effects of animal-assisted therapy on anxiety ratings of hospitalized psychiatric patients. Psychiatr. Serv. 49(6), 797–801 (1998)Bateson, P., Martin, P.: Play, Playfulness, Creativity and Innovation. Cambridge University Press, New York (2013)Bekoff, M., Allen, C.: Intentional communication and social play: how and why animals negotiate and agree to play. In: Bekoff, M., Byers, J.A. (eds.) Animal Play Evolutionary. Comparative and Ecological Perspectives, pp. 97–114. Cambridge University Press, New York (1997)Burghardt, G.M.: The Genesis of Animal Play. Testing the Limits. MIT Press, Cambridge (2006)Catalá, A., Pons, P., Jaén, J., et al.: A meta-model for dataflow-based rules in smart environments: evaluating user comprehension and performance. Sci. Comput. Prog. 78(10), 1930–1950 (2013). doi: 10.1016/j.scico.2012.06.010Cheok, A.D., Tan, R.T.K.C., Peiris, R.L., et al.: Metazoa ludens: mixed-reality interaction and play for small pets and humans. IEEE Trans. Syst. Man. Cybern.—Part A Syst. Hum. 41(5), 876–891 (2011). doi: 10.1109/TSMCA.2011.2108998Costello, B., Edmonds, E.: A study in play, pleasure and interaction design. In: Proceedings of the 2007 Conference on Designing Pleasurable Products and Interfaces, pp. 76–91 (2007)Csikszentmihalyi, M.: Beyond Boredom and Anxiety. The Experience of Play in Work and Games. Jossey-Bass Publishers, Hoboken (1975)Filan, S.L., Llewellyn-Jones, R.H.: Animal-assisted therapy for dementia: a review of the literature. Int. Psychogeriatr. 18(4), 597–611 (2006). doi: 10.1017/S1041610206003322García-Herranz, M., Haya, P.A., Alamán, X.: Towards a ubiquitous end-user programming system for smart spaces. J. Univ. Comput. Sci. 16(12), 1633–1649 (2010). doi: 10.3217/jucs-016-12-1633Hirskyj-Douglas, I., Read, J.C.: Who is really in the centre of dog computer interaction? In: Adjunct Proceedings of the 11th Conference on Advances in Computer Entertainment—Workshop on Animal Human Computer Interaction (2014)Hu, F., Silver, D., Trude, A.: LonelyDog@Home. In: International Conference Web Intelligence Intelligent Agent Technology—Workshops, 2007 IEEE/WIC/ACM IEEE, pp. 333–337, (2007)Huizinga, J.: Homo Ludens. Wolters-Noordhoff, Groningen (1985)Kamioka, H., Okada, S., Tsutani, K., et al.: Effectiveness of animal-assisted therapy: a systematic review of randomized controlled trials. Complement. Ther. Med. 22(2), 371–390 (2014). doi: 10.1016/j.ctim.2013.12.016Lee, S.P., Cheok, A.D., James, T.K.S., et al.: A mobile pet wearable computer and mixed reality system for human–poultry interaction through the internet. Pers. Ubiquit. Comput. 10(5), 301–317 (2006). doi: 10.1007/s00779-005-0051-6Leo, K., Tan, B.: User-tracking mobile floor projection virtual reality game system for paediatric gait and dynamic balance training. In: Proceedings of the 4th International Convention on Rehabilitation Engineering and Assistive Technology pp. 25:1–25:4 (2010)Mancini, C.: Animal-computer interaction: a manifesto. Mag. Interact. 18(4), 69–73 (2011). doi: 10.1145/1978822.1978836Mancini, C.: Animal-computer interaction (ACI): changing perspective on HCI, participation and sustainability. CHI ’13 Extended Abstracts on Human Factors in Computing Systems. ACM Press, New York, pp. 2227–2236 (2013)Mancini, C., van der Linden, J.: UbiComp for animal welfare: envisioning smart environments for kenneled dogs. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 117–128 (2014)Mancini, C., Harris, R., Aengenheister, B., Guest, C.: Re-centering multispecies practices: a canine interface for cancer detection dogs. In: Proceedings of the SIGCHI Conference on Human Factors in Computing System, pp. 2673–2682 (2015)Mancini, C., van der Linden, J., Bryan, J., Stuart, A.: Exploring interspecies sensemaking: dog tracking semiotics and multispecies ethnography. In: Proceedings of the 2012 ACM Conference on Ubiquitous Computing—UbiComp ’12. ACM Press, New York, pp. 143–152 (2012)Mankoff, D., Dey, A.K., Mankoff, J., Mankoff, K.: Supporting interspecies social awareness: using peripheral displays for distributed pack awareness. In: Proceedings of the 18th Annual ACM Symposium on User interface Software and Technology, pp. 253–258 (2005)Maternaghan, C., Turner, K.J.: A configurable telecare system. In: Proceedings of the 4th International Conference on Pervasive Technologies Related to Assistive Environments—PETRA ’11. ACM Press, New York, pp. 14:1–14:8 (2011)Matsuzawa, T.: The Ai project: historical and ecological contexts. Anim. Cogn. 6(4), 199–211 (2003). doi: 10.1007/s10071-003-0199-2McGrath, R.E.: Species-appropriate computer mediated interaction. CHI ‘09 Extended Abstracts on Human Factors in Computing Systems. ACM Press, New York, pp. 2529–2534 (2009)Mocholí, J.A., Jaén, J., Catalá, A.: A model of affective entities for effective learning environments. In: Innovations in Hybrid Intelligent Systems, pp. 337–344 (2007)Nijholt, A. (ed.): Playful User Interfaces. Springer, Singapore (2014)Norman, D.A.: The invisible computer. MIT Press, Cambridge (1998)Noz, F., An, J.: Cat cat revolution: an interspecies gaming experience. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2661–2664 (2011)Paldanius, M., Kärkkäinen, T., Väänänen-Vainio-Mattila, K., et al.: Communication technology for human-dog interaction: exploration of dog owners’ experiences and expectations. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM Press, New York, pp. 2641–2650 (2011)Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)Pons, P., Jaén, J., Catalá, A.: Animal ludens: building intelligent playful environments for animals. In: Adjunct Proceedings of the 11th Conference on Advances in Computer Entertainment—Workshop on Animal Human Computer Interaction (2014)Resner, B.: Rover@Home: Computer Mediated Remote Interaction Between Humans and Dogs. M.Sc. thesis, Massachusetts Institute of Technology, Cambridge (2001)Ritvo, S.E., Allison, R.S.: Challenges related to nonhuman animal-computer interaction: usability and “liking”. In: Adjunct Proceedings of the 11th Conference on Advances in Computer Entertainment—Workshop on Animal Human Computer Interaction (2014)Robinson, C., Mncini, C., Van Der Linden, J., et al.: Canine-centered interface design: supporting the work of diabetes alert dogs. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3757–3766 (2014)Rumbaugh, D.M.: Language Learning by a Chimpanzee: The LANA Project. Academic Press, New York (1977)Rumbaugh, D.M.: Apes and their future in comparative psychology. Eye Psi Chi 18(1), 16–19 (2013)Rumbaugh, D.M., Gill, T.V., Brown, J.V., et al.: A computer-controlled language training system for investigating the language skills of young apes. Behav. Res. Methods Instrum. 5(5), 385–392 (1973)Schwartz, S.: Separation anxiety syndrome in cats: 136 cases (1991–2000). J. Am. Vet. Med. Assoc. 220(7), 1028–1033 (2002). doi: 10.2460/javma.2002.220.1028Schwartz, S.: Separation anxiety syndrome in dogs and cats. J. Am. Vet. Med. Assoc. 222(11), 1526–1532 (2003)Solomon, O.: What a dog can do: children with autism and therapy dogs in social interaction. Ethos J. Soc. Psychol. Anthropol. 38(1), 143–166 (2010). doi: 10.1111/j.1548-1352.2010.01085.xTeh, K.S., Lee, S.P., Cheok, A.D.: Poultry. Internet: a remote human-pet interaction system. In: CHI ’06 Extended Abstracts on Human Factors in Computing Systems, pp. 251–254 (2006)Väätäjä, H., Pesonen, E.: Ethical issues and guidelines when conducting HCI studies with animals. In: CHI ’13 Extended Abstracts on Human Factors in Computing Systems, pp. 2159–2168 (2013)Väätäjä, H.: Animal welfare as a design goal in technology mediated human-animal interaction—opportunities with haptics. In: Adjunct Proceedings of the 11th Conference on Advances in Computer Entertainment—Workshop on Animal Human Computer Interaction (2014)Weilenmann, A., Juhlin, O.: Understanding people and animals. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems—CHI ’11. ACM Press, New York, pp. 2631–2640 (2011)Weiser, M.: The computer for the 21st century. Sci. Am. 265(3), 94–104 (1991)Westerlaken, M., Gualeni, S., Geurtsen, A.: Grounded zoomorphism: an evaluation methodology for ACI design. In: Adjunct Proceedings of the 11th Conference on Advances in Computer Entertainment—Workshop on Animal Human Computer Interaction (2014)Westerlaken, M., Gualeni, S.: Felino: the philosophical practice of making an interspecies videogame. Philosophy of Computer Games Conference, pp. 1–12 (2014)Wingrave, C.A., Rose, J., Langston, T., LaViola, J.J.J.: Early explorations of CAT: canine amusement and training. In: CHI ’10 Extended Abstracts on Human Factors in Computing Systems, pp. 2661–2669 (2010

A Newcomer's Guide to EICS, the Engineering Interactive Computing Systems Community

[EN] Welcome to EICS, the Engineering Interactive Computing Systems community, PACMHCI/EICS journal, and annual conference! In this short article, we introduce newcomers to the field and to our community with an overview of what EICS is and how it positions with respect to other venues in Human-Computer Interaction, such as CHI, UIST, and IUI, highlighting its legacy and paying homage to past scientific events from which EICS emerged. We also take this opportunity to enumerate and exemplify scientific contributions to the field of Engineering Interactive Computing Systems, which we hope to guide researchers and practitioners towards making their future PACMHCI/EICS submissions successful and impactful in the EICS community.We acknowledge the support of MetaDev2 as the main sponsor of EICS 2019. We would like to thank the Chairs of all the tracks of the EICS 2019 conference, the members of the local organization team, and the web master of the EICS 2019 web site. EICS 2019 could not have been possible without the commitment of the Programme Committee members and external reviewers. This work was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness, State Research Agency / European Regional Development Fund under Vi-SMARt (TIN2016-79100-R), the Junta de Comunidades de Castilla-La Mancha European Regional Development Fund under NeUX (SBPLY/17/180501/000192) projects, the Generalitat Valenciana through project GISPRO (PROMETEO/2018/176), and the Spanish Ministry of Science and Innovation through project DataME (TIN2016-80811-P).López-Jaquero, VM.; Vatavu, R.; Panach, JI.; Pastor López, O.; Vanderdonckt, J. (2019). A Newcomer's Guide to EICS, the Engineering Interactive Computing Systems Community. Proceedings of the ACM on Human-Computer Interaction. 3:1-9. https://doi.org/10.1145/3300960S193Bastide, R., Palanque, P., & Roth, J. (Eds.). (2005). Engineering Human Computer Interaction and Interactive Systems. Lecture Notes in Computer Science. doi:10.1007/b136790Beaudouin-Lafon, M. (2004). Designing interaction, not interfaces. Proceedings of the working conference on Advanced visual interfaces - AVI ’04. doi:10.1145/989863.989865Bodart, F., & Vanderdonckt, J. (Eds.). (1996). Design, Specification and Verification of Interactive Systems ’96. Eurographics. doi:10.1007/978-3-7091-7491-3Gallud, J. A., Tesoriero, R., Vanderdonckt, J., Lozano, M., Penichet, V., & Botella, F. (2011). Distributed user interfaces. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems - CHI EA ’11. doi:10.1145/1979742.1979576Graham, T. C. N., & Palanque, P. (Eds.). (2008). Interactive Systems. Design, Specification, and Verification. Lecture Notes in Computer Science. doi:10.1007/978-3-540-70569-7Proceedings of the 1st ACM SIGCHI symposium on Engineering interactive computing systems - EICS ’09. (2009). doi:10.1145/1570433Lawson, J.-Y. L., Vanderdonckt, J., & Vatavu, R.-D. (2018). Mass-Computer Interaction for Thousands of Users and Beyond. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. doi:10.1145/3170427.3188465Lozano, M. D., Galllud, J. A., Tesoriero, R., Penichet, V. M. R., Vanderdonckt, J., & Fardoun, H. (2013). 3rd workshop on distributed user interfaces. Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems - EICS ’13. doi:10.1145/2494603.2483222Proceedings of the 2014 Workshop on Distributed User Interfaces and Multimodal Interaction - DUI ’14. (2014). doi:10.1145/2677356Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems. (2019). doi:10.1145/3319499Tesoriero, R., Lozano, M., Vanderdonckt, J., Gallud, J. A., & Penichet, V. M. R. (2012). distributed user interfaces. CHI ’12 Extended Abstracts on Human Factors in Computing Systems. doi:10.1145/2212776.2212704Vanderdonckt, J. (2005). A MDA-Compliant Environment for Developing User Interfaces of Information Systems. Active Flow and Combustion Control 2018, 16-31. doi:10.1007/11431855_2Vatavu, R.-D. (2012). User-defined gestures for free-hand TV control. Proceedings of the 10th European conference on Interactive tv and video - EuroiTV ’12. doi:10.1145/2325616.2325626Vatavu, R.-D. (2017). Beyond Features for Recognition: Human-Readable Measures to Understand Users’ Whole-Body Gesture Performance. International Journal of Human–Computer Interaction, 33(9), 713-730. doi:10.1080/10447318.2017.1278897Wobbrock, J. O., & Kientz, J. A. (2016). Research contributions in human-computer interaction. Interactions, 23(3), 38-44. doi:10.1145/290706

Human Computer Interaction and Emerging Technologies

The INTERACT Conferences are an important platform for researchers and practitioners in the field of human-computer interaction (HCI) to showcase their work. They are organised biennially by the International Federation for Information Processing (IFIP) Technical Committee on Human–Computer Interaction (IFIP TC13), an international committee of 30 member national societies and nine Working Groups. INTERACT is truly international in its spirit and has attracted researchers from several countries and cultures. With an emphasis on inclusiveness, it works to lower the barriers that prevent people in developing countries from participating in conferences. As a multidisciplinary field, HCI requires interaction and discussion among diverse people with different interests and backgrounds. The 17th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2019) took place during 2-6 September 2019 in Paphos, Cyprus. The conference was held at the Coral Beach Hotel Resort, and was co-sponsored by the Cyprus University of Technology and Tallinn University, in cooperation with ACM and ACM SIGCHI. This volume contains the Adjunct Proceedings to the 17th INTERACT Conference, comprising a series of selected papers from workshops, the Student Design Consortium and the Doctoral Consortium. The volume follows the INTERACT conference tradition of submitting adjunct papers after the main publication deadline, to be published by a University Press with a connection to the conference itself. In this case, both the Adjunct Proceedings Chair of the conference, Dr Usashi Chatterjee, and the lead Editor of this volume, Dr Fernando Loizides, work at Cardiff University which is the home of Cardiff University Press

Towards Understanding the Importance of Co-Located Gameplay

© Lennart Nacke, 2015. This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. The definitive version was published in CHI PLAY '15 Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, https://doi.org/10.1145/2793107.2810312Analyzing the social con¬text present in a gameplay environment and its effect on player experience can provide insights informing the design and social value of games. We investigate the influence of social condition (cooperative or competitive play with a human player versus computer-controlled character) on player experience. The study controlled for co-presence by ensuring that another individual attending to the same stimulus was present in all conditions. Although physiological measures were not significant, subjective measures of arousal and pleasure were significantly different under varying conditions.SIGCHI ACM Special Interest Group on Computer-Human InteractionPeer-reviewe

Design and Preliminary Validation of The Player Experience Inventory

© Lennart Nacke, 2016. This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. The definitive version was published in CHI PLAY Companion '16 Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, https://doi.org/10.1145/2968120.2971805We present the design and preliminary results of the validation of the Player Experience Inventory (PXI). Based on the input of 64 experts in the field of player-computer interaction, we designed and refined this new scale. Our scale is based on the MDA framework (and on Means-End theory, underlying MDA). The PXI incorporates two subscales, one with dimensions at the functional level (i.e., dynamics) and one at the psycho-social level (i.e., aesthetics). The initial results, via principal factor analysis, suggest the scale can be used accurately to evaluate player experience. This work is our first step towards presenting a new, validated survey instrument for player experience evaluation.SIGCHI ACM Special Interest Group on Computer-Human InteractionPeer-reviewe