Sticky notes widget 3.9
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Pan, Y., Steed, A.: A gaze-preserving situated multiview telepresence system. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2005, pp. Nguyen, D., Canny, J.: MultiView: spatially faithful group video conferencing. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1992, pp. Sellen, A., Buxton, B., Arnott, J.: Using spatial cues to improve videoconferencing. In: Proceedings of the 2017 Conference on Designing Interactive Systems, DIS 2017, pp. Xu, B., Ellis, J., Erickson, T.: Attention from afar: simulating the gazes of remote participants in hybrid meetings. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI 2016, pp. Higuch, K., Yonetani, R., Sato, Y.: Can eye help you? Effects of visualizing eye fixations on remote collaboration scenarios for physical tasks. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2001, pp. Vertegaal, R., Slagter, R., Van der Veer, G., Nijholt, A.: Eye gaze patterns in conversations: there is more to conversational agents than meets the eyes. In: Proceedings of Graphics Interface 2000, pp. Vertegaal, R., van der Veer, G., Vons, H.: Effects of gaze on multiparty mediated communication. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA 2016, pp. ACM, New York (1999)Īkkil, D., James, J.M., Isokoski, P., Kangas, J.: GazeTorch: enabling gaze awareness in collaborative physical tasks. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1999, pp. Vertegaal, R.: The GAZE groupware system: mediating joint attention in multiparty communication and collaboration. We discuss how screen space can be leveraged to improve gaze interpretation. Our evaluation shows that GazeLens (1) increases hub coworkers’ overall gaze interpretation accuracy by \(25.8\%\) in comparison to a conventional video conferencing system, (2) especially for physical artifacts on the hub table, and (3) improves hub coworkers’ ability to distinguish between gazes toward people and artifacts. Lens widgets strategically guide the satellite worker’s attention toward specific areas of her/his screen allow hub coworkers to clearly interpret her/his gaze direction. The system combines these two video feeds in an interface. A \(360^\) camera captures the hub coworkers and a ceiling camera captures artifacts on the hub table. We present GazeLens, a video conferencing system that improves hub coworkers’ ability to interpret the satellite worker’s gaze. However, 2D video distorts images and makes this interpretation inaccurate. In hub-satellite collaboration using video, interpreting gaze direction is critical for communication between hub coworkers sitting around a table and their remote satellite colleague.