A Meta Review of HCI Literature: Citation Impact and Research Productivity Rankings

The objective of this study is to conduct a meta-review analysis of the human-computer interaction (HCI) literature by investigating research productivity and conducting a citation analysis of individuals, institutions, and countries. The meta-analysis focuses on the three leading peer-reviewed, refereed journals in this area: International Journal of Human-Computer Interaction, Human-Computer Interaction, and Behavior and Information Technology. Results indicate that research productivity is exploding and that there are several leading authors and foundation publications that are referenced regularly

Using Variable Dwell Time to Accelerate Gaze-Based Web Browsing with Two-Step Selection

In order to avoid the "Midas Touch" problem, gaze-based interfaces for selection often introduce a dwell time: a fixed amount of time the user must fixate upon an object before it is selected. Past interfaces have used a uniform dwell time across all objects. Here, we propose a gaze-based browser using a two-step selection policy with variable dwell time. In the first step, a command, e.g. "back" or "select", is chosen from a menu using a dwell time that is constant across the different commands. In the second step, if the "select" command is chosen, the user selects a hyperlink using a dwell time that varies between different hyperlinks. We assign shorter dwell times to more likely hyperlinks and longer dwell times to less likely hyperlinks. In order to infer the likelihood each hyperlink will be selected, we have developed a probabilistic model of natural gaze behavior while surfing the web. We have evaluated a number of heuristic and probabilistic methods for varying the dwell times using both simulation and experiment. Our results demonstrate that varying dwell time improves the user experience in comparison with fixed dwell time, resulting in fewer errors and increased speed. While all of the methods for varying dwell time resulted in improved performance, the probabilistic models yielded much greater gains than the simple heuristics. The best performing model reduces error rate by 50% compared to 100ms uniform dwell time while maintaining a similar response time. It reduces response time by 60% compared to 300ms uniform dwell time while maintaining a similar error rate.Comment: This is an Accepted Manuscript of an article published by Taylor & Francis in the International Journal of Human-Computer Interaction on 30 March, 2018, available online: http://www.tandfonline.com/10.1080/10447318.2018.1452351 . For an eprint of the final published article, please access: https://www.tandfonline.com/eprint/T9d4cNwwRUqXPPiZYm8Z/ful

The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human-Computer Interaction on 14/06/2022, available online: https://doi.org/10.1080/10447318.2022.2085400Acceptance of Artificial Intelligence may be predicted by individual psychological correlates, examined here. Study 1 reports confirmatory validation of the General Attitudes towards Artificial Intelligence Scale (GAAIS) following initial validation elsewhere. Confirmatory Factor Analysis confirmed the two-factor structure (Positive, Negative) and showed good convergent and divergent validity with a related scale. Study 2 tested whether psychological factors (Big Five personality traits, corporate distrust, and general trust) predicted attitudes towards AI. Introverts had more positive attitudes towards AI overall, likely because of algorithm appreciation. Conscientiousness and agreeableness were associated with forgiving attitudes towards negative aspects of AI. Higher corporate distrust led to negative attitudes towards AI overall, while higher general trust led to positive views of the benefits of AI. The dissociation between general trust and corporate distrust may reflect the public’s attributions of the benefits and drawbacks of AI. Results are discussed in relation to theory and prior findings

A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human–Computer Interaction on 04 Apr 2014, available online: http://dx.doi.org/10.1080/10447318.2014.907463[Abstract] Usability studies are often based on ad hoc definitions of usability. These studies can be difficult to generalize, they might have a steep learning curve, and there is always the danger of being inconsistent with the concept of usability as defined in standards and the literature. This alternative approach involves comprehensive, general-purpose, and hierarchically structured taxonomies that follow closely the main usability literature. These taxonomies are then instantiated for a specific product. To illustrate this approach, a usability study for a prototype of an Intelligent Speed Adaptation device is described. The usability study consists of usability requirements analysis, heuristic evaluation, and subjective analysis, which helped identify problems of clarity, operability, robustness, safety, and aesthetics. As a context-specific usability taxonomy for this particular field of application happened to exist, the way that real-world usability results can be mapped to that taxonomy compared to the taxonomy in this article is examined, with the argument that this study’s taxonomy is more complete and generalizable.Xunta de Galicia; CN2011/007Xunta de Galicia; CN2012/211European Global Navigation Satellite Systems Agency; Nº. 22835

A Supporting Tool for Enhancing User’s Mental Model Elicitation and Decision-Making in User Experience Research

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human–Computer Interaction on April 18, 2022, available at: https://doi.org/10.1080/10447318.2022.2041885User Experience (UX) research is intended to find insights and elicit applicable requirements to guide usable designs. Card Sorting is one of the most utilized methods. It is used to uncover the user's mental model and increase the usability of existing products. However, although Card Sorting has been widely utilized, most applications are based on spreadsheets. Furthermore, existing tools are principally intended to obtain qualitative information or customized quantitative outcomes to improve the information architecture. In this paper, a supporting tool based on the Card Sorting method is presented and detailed, including a comprehensive use case showing the main features. The tool implements predictive analysis of results through advanced statistics and machine learning techniques, providing comprehensive reports that enable evaluators and UX researchers to obtain high-level knowledge and important quantitative clues to enhance decision-making. The tool has been evaluated with participants and evaluators, obtaining relevant usability results and feedback.This work was partially supported by the Spanish Government under grant number RTI2018- 095255-B-I00]; and the Madrid Research Council under Grant number P2018/TCS-4314

The roles of personality traits, AI anxiety, and demographic factors in attitudes towards artificial intelligence

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human-Computer Interaction on 07/12/2022, available online: https://doi.org/10.1080/10447318.2022.2151730The present study adapted the General Attitudes toward Artificial Intelligence Scale (GAAIS) to Turkish and investigated the impact of personality traits, artificial intelligence anxiety, and demographics on attitudes toward artificial intelligence. The sample consisted of 259 female (74%) and 91 male (26%) individuals aged between 18 and 51 (Mean = 24.23). Measures taken were demographics, the Ten-Item Personality Inventory, the Artificial Intelligence Anxiety Scale, and the General Attitudes toward Artificial Intelligence Scale. The Turkish GAAIS had good validity and reliability. Hierarchical Multiple Linear Regression Analyses showed that positive attitudes toward artificial intelligence were significantly predicted by the level of computer use (β = 0.139, p = 0.013), level of knowledge about artificial intelligence (β = 0.119, p = 0.029), and AI learning anxiety (β = −0.172, p = 0.004). Negative attitudes toward artificial intelligence were significantly predicted by agreeableness (β = 0.120, p = 0.019), AI configuration anxiety (β = −0.379, p < 0.001), and AI learning anxiety (β = −0.211, p < 0.001). Personality traits, AI anxiety, and demographics play important roles in attitudes toward AI. Results are discussed in light of the previous research and theoretical explanations

An Augmented Reality system for the treatment of phobia to small animals viewed via an optical see-through HMD. Comparison with a similar system viewed via a video see-through

This article presents an optical see-through (OST) Augmented Reality system for the treatment of phobia to small animals. The technical characteristics of the OST system are described, and a comparative study of the sense of presence and anxiety in a nonphobic population (24 participants) using the OST and an equivalent video see-though (VST) system is presented. The results indicate that if all participants are analyzed, the VST system induces greater sense of presence than the OST system. If the participants who had more fear are analyzed, the two systems induce a similar sense of presence. For the anxiety level, the two systems provoke similar and significant anxiety during the experiment. © Taylor & Francis Group, LLC.Juan, M.; Calatrava, J. (2011). An Augmented Reality system for the treatment of phobia to small animals viewed via an optical see-through HMD. Comparison with a similar system viewed via a video see-through. International Journal of Human-Computer Interaction. 27(5):436-449. doi:10.1080/10447318.2011.552059S436449275Azuma, R. and Bishop, G. Improving static and dynamic registration in an optical see-through HMD. Proceedings of 21st Annual Conference on Computer Graphics and Interactive techniques (SIGGRAPH'94). pp.197–204.Bimber, O., & Raskar, R. (2005). Spatial Augmented Reality. doi:10.1201/b10624Botella, C., Quero, S., Banos, R. M., Garcia-Palacios, A., Breton-Lopez, J., Alcaniz, M., & Fabregat, S. (2008). Telepsychology and Self-Help: The Treatment of Phobias Using the Internet. CyberPsychology & Behavior, 11(6), 659-664. doi:10.1089/cpb.2008.0012Botella, C. M., Juan, M. C., Baños, R. M., Alcañiz, M., Guillén, V., & Rey, B. (2005). Mixing Realities? An Application of Augmented Reality for the Treatment of Cockroach Phobia. CyberPsychology & Behavior, 8(2), 162-171. doi:10.1089/cpb.2005.8.162Carlin, A. S., Hoffman, H. G., & Weghorst, S. (1997). Virtual reality and tactile augmentation in the treatment of spider phobia: a case report. Behaviour Research and Therapy, 35(2), 153-158. doi:10.1016/s0005-7967(96)00085-xGarcia-Palacios, A., Hoffman, H., Carlin, A., Furness, T. ., & Botella, C. (2002). Virtual reality in the treatment of spider phobia: a controlled study. Behaviour Research and Therapy, 40(9), 983-993. doi:10.1016/s0005-7967(01)00068-7Genc, Y., Tuceryan, M., & Navab, N. (s. f.). Practical solutions for calibration of optical see-through devices. Proceedings. International Symposium on Mixed and Augmented Reality. doi:10.1109/ismar.2002.1115086Hoffman, H. G., Garcia-Palacios, A., Carlin, A., Furness III, T. A., & Botella-Arbona, C. (2003). Interfaces That Heal: Coupling Real and Virtual Objects to Treat Spider Phobia. International Journal of Human-Computer Interaction, 16(2), 283-300. doi:10.1207/s15327590ijhc1602_08Juan, M. C., Alcaniz, M., Monserrat, C., Botella, C., Banos, R. M., & Guerrero, B. (2005). Using Augmented Reality to Treat Phobias. IEEE Computer Graphics and Applications, 25(6), 31-37. doi:10.1109/mcg.2005.143Juan, M. C., Baños, R., Botella, C., Pérez, D., Alcaníiz, M., & Monserrat, C. (2006). An Augmented Reality System for the Treatment of Acrophobia: The Sense of Presence Using Immersive Photography. Presence: Teleoperators and Virtual Environments, 15(4), 393-402. doi:10.1162/pres.15.4.393Kato, H., & Billinghurst, M. (s. f.). Marker tracking and HMD calibration for a video-based augmented reality conferencing system. Proceedings 2nd IEEE and ACM International Workshop on Augmented Reality (IWAR’99). doi:10.1109/iwar.1999.803809Nash, E. B., Edwards, G. W., Thompson, J. A., & Barfield, W. (2000). A Review of Presence and Performance in Virtual Environments. International Journal of Human-Computer Interaction, 12(1), 1-41. doi:10.1207/s15327590ijhc1201_1Owen, C. B., Ji Zhou, Tang, A., & Fan Xiao. (s. f.). Display-Relative Calibration for Optical See-Through Head-Mounted Displays. Third IEEE and ACM International Symposium on Mixed and Augmented Reality. doi:10.1109/ismar.2004.28Özbek, C., Giesler, B. and Dillmann, R. Jedi training: Playful evaluation of head-mounted augmented reality display systems. SPIE Conference Medical Imaging. Vol. 5291, pp.454–463.Renaud, P., Bouchard, S., & Proulx, R. (2002). Behavioral avoidance dynamics in the presence of a virtual spider. IEEE Transactions on Information Technology in Biomedicine, 6(3), 235-243. doi:10.1109/titb.2002.802381Schwald, B. and Laval, B. An Augmented Reality system for training and assistance to maintenance in the industrial context. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. pp.425–432.Slater, M., Usoh, M., & Steed, A. (1994). Depth of Presence in Virtual Environments. Presence: Teleoperators and Virtual Environments, 3(2), 130-144. doi:10.1162/pres.1994.3.2.130Szymanski, J., & O’Donohue, W. (1995). Fear of Spiders Questionnaire. Journal of Behavior Therapy and Experimental Psychiatry, 26(1), 31-34. doi:10.1016/0005-7916(94)00072-

Open challenges in relationship-based privacy mechanisms for social network services

[EN] Social networking services (SNSs) such as Facebook or Twitter have experienced an explosive growth during the few past years. Millions of users have created their profiles on these services because they experience great benefits in terms of friendship. SNSs can help people to maintain their friendships, organize their social lives, start new friendships, or meet others that share their hobbies and interests. However, all these benefits can be eclipsed by the privacy hazards that affect people in SNSs. People expose intimate information of their lives on SNSs, and this information affects the way others think about them. It is crucial that users be able to control how their information is distributed through the SNSs and decide who can access it. This paper presents a list of privacy threats that can affect SNS users, and what requirements privacy mechanisms should fulfill to prevent this threats. Then, we review current approaches and analyze to what extent they cover the requirementsThis article has been developed as a result of a mobility stay funded by the Erasmus Mundus Programme of the European Comission under the Transatlantic Partnership for Excellence in Engineering-TEE Project.López Fogués, R.; Such Aparicio, JM.; Espinosa Minguet, AR.; García-Fornes, A. (2015). Open challenges in relationship-based privacy mechanisms for social network services. International Journal of Human-Computer Interaction. 31(5):350-370. doi:10.1080/10447318.2014.1001300S35037031

Evaluating Use of the Doppler Effect to Enhance Auditory Alerts

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human–Computer Interaction on 10/02/2021, available online: https://doi.org/10.1080/10447318.2020.1870818Auditory alerts are an essential part of many multi-modal interaction scenarios, particularly in safety and mission critical settings, such as hospitals and transportation. A variety of strategies can be employed in the design of auditory alerts, often orienting manipulation of volume and pitch parameters. However, manipulations by applying a Doppler effect are under-investigated. A perceptual listening test is conducted (n = 100) using multiple alert sounds that are subjected to a variety of volume, pitch, and Doppler manipulations, with the unaltered sounds serving as a benchmark. Applying a mixed methods approach consisting of inferential statistics and thematic analysis, it is found that decreases in volume and a Doppler simulation of a sound moving away reduce importance and urgency, increase safety, are harder to detect, and are perceived as being more distant in perceptions of auditory alerts. Further, increases in volume and a Doppler simulation of a sound approaching are effective in communicating safety, whilst pitch manipulations were much less effective. Further work is required to provide wider, ecologically valid, verification of these findings, particularly as to how listener detection of Doppler and volume manipulations can be improved