KINDERTIVITY: Using Interactive Surfaces to Foster Creativity in Pre-kindergarten Children

© Owner/Author 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in {Interacción '15 Proceedings of the XVI International Conference on Human Computer Interactionhttp://dx.doi.org/10.1145/10.1145/2829875.2829881Taking into account the existent educative and pedagogical techniques, which have proved its effectiveness to foster the innovation and creativity, this thesis poses to develop, experiment and evaluate a new technological framework based on interactive surfaces to be applied in the context of preschool education. The goal is to facilitate the three factors required for creative learning: knowledge, creative thinking and motivation but taking into account the cognitive and interaction limitations of these very young users.Work supported by the MINECO (grants TIN2010-20488 and TIN2014-60077-R) and from GVA (ACIF/2015/075).Nácher-Soler, VE.; Jaén Martínez, FJ. (2015). KINDERTIVITY: Using Interactive Surfaces to Foster Creativity in Pre-kindergarten Children. ACM. https://doi.org/10.1145/2829875.2829881SBuxton, B. Multi-touch systems that I have known and loved. 2013. http://billbuxton.com/multitouchOverview.html.Catala, A., Jaen, J., van Dijk, B., and Jordà, S. Exploring tabletops as an effective tool to foster creativity traits. In Proc. of TEI'12, pp. 143--150.Comisión Europea. Conclusiones del Consejo de 12 de mayo de 2009 sobre un marco estratégico para la cooperación europea en el ámbito de la educación y la formación («ET 2020»). 2009.Common Sense Media. Zero to Eight: Childrens Media Use in America 2013. 2013.Cropley, A.J. Creativity in Education and Learning: A Guide for Teachers and Educators. Kogan Page, (2001).Damon, W., Lerner, R.M., Kuhn, D., and Siegler, R.S., eds. Handbook of Child Psychology, Volume 2, Cognition, Perception, and Language. Wiley, 2006.Fleck, R., Rogers, Y., Yuill, N., et al. Actions speak loudly with words. Proc. of ITS'09, pp. 189--196.Helmes, J., Cao, X., Lindley, S.E., and Sellen, A. Developing the story. Proc. of ITS'09, pp. 49--52.Hourcade, J.P. Interaction Design and Children. Foundations and Trends® in Human-Computer Interaction 1, 4 (2007), 277--392.Johnson, L., Adams, S., and Cummins, M. The NMC Horizon Report: 2012 K-12. The New Media Consortium, Austin, Texas, 2012.Khandelwal, M. and Mazalek, A. Teaching table: a tangible mentor for pre-k math education. Proc. of TEI'07, 191--194.Mansor, E.I., De Angeli, A., and De Bruijn, O. Little fingers on the tabletop: A usability evaluation in the kindergarten. Proc. of TABLETOP'08, 93--96.Nacher, V., Jaen, J., & Catala, A. (2014). Exploring Visual Cues for Intuitive Communicability of Touch Gestures to Pre-kindergarten Children. Proc. of ITS'14, 159--162.Nacher, V., Jaen, J., Navarro, E., Catala, A., and González, P. Multi-touch gestures for pre-kindergarten children. International Journal of Human-Computer Studies 73 (2015), 37--51.Nacher, V., Jaen, J., Catala, A., Navarro, E., and Gonzalez, P. Improving Pre-Kindergarten Touch Performance. Proc. of ITS '14, 163--166..Rick, J., Francois, P., Fields, B., Fleck, R., Yuill, N., and Carr, A. Lo-fi prototyping to design interactive-tabletop applications for children. Proc. of IDC'10, pp. 138--146.Rick, J. and Rogers, Y. From DigiQuilt to DigiTile: Adapting educational technology to a multi-touch table. Proc. of TABLETOP'08, pp. 73--80.Sluis, R.J.W., Weevers, I., van Schijndel, C.H.G.J., Kolos-Mazuryk, L., Fitrianie, S., and Martens, J.B.O.S. Read-It: Five-to-seven-year-old children learn to read in a tabletop environment. Proc. of IDC'04, pp. 73--80.Smith, S.P., Burd, E., and Rick, J. Developing, evaluating and deploying multi-touch systems. International Journal of Human-Computer Studies 70, 10 (2012), 653--656

Automatic classification of human facial features based on their appearance

[EN] Classification or typology systems used to categorize different human body parts have existed for many years. Nevertheless, there are very few taxonomies of facial features. Ergonomics, forensic anthropology, crime prevention or new human-machine interaction systems and online activities, like e-commerce, e-learning, games, dating or social networks, are fields in which classifications of facial features are useful, for example, to create digital interlocutors that optimize the interactions between human and machines. However, classifying isolated facial features is difficult for human observers. Previous works reported low inter-observer and intra-observer agreement in the evaluation of facial features. This work presents a computer-based procedure to automatically classify facial features based on their global appearance. This procedure deals with the difficulties associated with classifying features using judgements from human observers, and facilitates the development of taxonomies of facial features. Taxonomies obtained through this procedure are presented for eyes, mouths and noses.Fuentes-Hurtado, F.; Diego-Mas, JA.; Naranjo Ornedo, V.; Alcañiz Raya, ML. (2019). Automatic classification of human facial features based on their appearance. PLoS ONE. 14(1):1-20. https://doi.org/10.1371/journal.pone.0211314S120141Damasio, A. R. (1985). Prosopagnosia. Trends in Neurosciences, 8, 132-135. doi:10.1016/0166-2236(85)90051-7Bruce, V., & Young, A. (1986). Understanding face recognition. British Journal of Psychology, 77(3), 305-327. doi:10.1111/j.2044-8295.1986.tb02199.xTodorov, A. (2011). Evaluating Faces on Social Dimensions. Social Neuroscience, 54-76. doi:10.1093/acprof:oso/9780195316872.003.0004Little, A. C., Burriss, R. P., Jones, B. C., & Roberts, S. C. (2007). 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Using Noninvasive Brain Measurement to Explore the Psychological Effects of Computer Malfunctions on Users during Human-Computer Interactions

In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral responses. An experiment was conducted where participants conducted a series of web search tasks while wearing functional nearinfrared spectroscopy (fNIRS) and galvanic skin response sensors. Two computer malfunctions were introduced during the sessions which had the potential to influence correlates of user trust and suspicion. Surveys were given after each session to measure user’s perceived emotional state, cognitive load, and perceived trust. Results suggest that fNIRS can be used to measure the different cognitive and emotional responses associated with computer malfunctions. These cognitive and emotional changes were correlated with users’ self-report levels of suspicion and trust, and they in turn suggest future work that further explores the capability of fNIRS for the measurement of user experience during human-computer interactions

Designing for frustration and disputes in the family car

This article appears with the express permission of the publisher, IGI Global.Families spend an increasing amount of time in the car carrying out a number of activities including driving to work, caring for children and co-ordinating drop-offs and pickups. While families travelling in cars may face stress from difficult road conditions, they are also likely to be frustrated by coordinating a number of activities and resolving disputes within the confined space of car. A rising number of in-car infotainment and driver-assistance systems aim to help reduce the stress from outside the vehicle and improve the experience of driving but may fail to address sources of stress from within the car. From ethnographic studies of family car journeys, we examine the work of parents in managing multiple stresses while driving, along with the challenges of distractions from media use in the car. Keeping these family extracts as a focus for analysis, we draw out some design considerations that help build on the observations from our empirical work.Microsoft Research and the Dorothy Hodgkin Awar

Evaluation of human-like anthropomorphism in the context of online bidding and affordances

This paper presents a four condition experiment and the results concerning the wider area of investigating the effectiveness and user satisfaction of using anthropomorphic feedback at the user interface. The specific context used was online bidding. The four conditions used in the experiment were human video, human voice, human voice with anthropomorphic text and a control consisting of neutral text. The main results of the experiment showed significant differences in participants' perceptions regarding the 'humanity' of the feedback they used. As expected, the control condition consisting of neutral text incurred significantly lower ratings for the 'humanity' characteristics of the feedback. The human video condition also incurred significantly stronger perceptions regarding the appearance being human. The results were also analysed in light of the theory of affordances and the authors conclude that the four conditions used in the experiment were likely equivalent in their facilitating the affordances. Therefore the authors suggest that facilitating the affordances may be more crucial to a user interface and the users than the actual anthropomorphic characteristic of the feedback used