Exploring the Effects of Audience Visibility on Presenters and Attendees in Online Educational Presentations
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Video conferencing is widely used to help deliver educational presentations, such as lectures or informational webinars, to a distributed audience. While individuals in a dyadic conversation may be able to use webcam streams to assess the engagement level of their interlocutor with some ease, as the size of the audience in a video conference setting increases, it becomes increasingly difficult to interpret how engaged the overall group may be. In this work, we use a mixed-methods approach to understand how presenters and attendees of online presentations use available cues to perceive and interpret audience behavior (such as how engaged the group is). Our results suggest that while webcams are seen as useful by presenters to increase audience visibility and encourage attention, audience members do not uniformly benefit from seeing others' webcams; other interface cues such as chat may be more useful and informative engagement indicators for both parties. We conclude with design recommendations for future systems to improve what is sensed and presented.
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Number of citations to item: 5
- Marco Kurzweg, Jens Reinhardt, Wladimir Nabok, Katrin Wolf (2021): Using Body Language of Avatars in VR Meetings as Communication Status Cue, In: Mensch und Computer 2021, doi:10.1145/3473856.3473865
- Na Sun, Xiying Wang, Mary Beth Rosson (2019): How Do Distance Learners Connect?, In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3290605.3300662
- Caixia Liu, Liyao Wang, Zhongling Pi, Jiumin Yang (2023): Interaction matters: Co-viewing facilitates learning from live video streaming for elementary students, In: Education and Information Technologies 2(29), doi:10.1007/s10639-023-11920-4
- Marco Kurzweg, Katrin Wolf (2022): Body Language of Avatars in VR Meetings as Communication Status Cue: Recommendations for Interaction Design and Implementation, In: i-com 1(21), doi:10.1515/icom-2021-0038
- Qi Lu, Yuewei Zhang, Yuxin Zhang, Shao-En Ma, Yunfan Zhang, Yuou Qin, Peizhong Gao, Qiwei Zhang, Yingqing Xu (2023): Atmospheror: Towards an Olfactory Interactive System for Enhancing Social Presence and Interaction in Synchronous Online Classes, In: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544549.3585832