This week I was invited speaker at the 25th Annual Conference of the Virtual Reality Society of Japan
Category Archives: sigchi
2019: ACM SIGCHI China Chapter’s 15th Anniversary
As part of the ACM Distinguished Speakers Program I delivered a distinguished lecture as part of the ACM SIGCHI China Chapter’s 15th Anniversary event this November in Beijing.
As the SIGCHI site notes
“SIGCHI Local Chapters help the ACM SIGCHI community to promote and advance human-computer interaction locally and around the globe. For the developing parts of the world, Local Chapters often serve as the first front to promote HCI education, research and practice in the region. SIGCHI Local Chapters are unique in building bridges between academics, practitioners and students in the field of HCI.
There are 50 SIGCHI Local Chapters on 6 continents, in over 30 countries, impacting over 4,000 chapter members. While each chapter has its own unique approach, the professional and student chapters organize meetings, offer presentations from invited speakers, networking opportunities, discussion forums, job boards, and other special events year-round. Many chapters host their own local conferences and hold contests for HCI students.“
TVX 2019: Best Student Paper for Deb8: A Tool for Collaborative Analysis of Video
Congratulations to Guilherme, one of my PhD students, for receiving a best student paper award for the work on Deb8: A Tool for Collaborative Analysis of Video.
Guilherme Carneiro, Miguel Nacenta, Alice Toniolo, Gonzalo Mendez, and Aaron J Quigley. 2019. Deb8: A Tool for Collaborative Analysis of Video. In Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX ’19). Association for Computing Machinery, New York, NY, USA, 47–58. DOI: https://doi.org/10.1145/3317697.3323358
Abstract: Public, parliamentary and television debates are commonplace in modern democracies. However, developing an understanding and communicating with others is often limited to passive viewing or, at best, textual discussion on social media. To address this, we present the design and implementation of Deb8, a tool that allows collaborative analysis of video-based TV debates. The tool provides a novel UI designed to enable and capture rich synchronous collaborative discussion of videos based on argumentation graphs that link quotes of the video, opinions, questions, and external evidence. Deb8 supports the creation of rich idea structures based on argumentation theory as well as collaborative tagging of the relevance, support and trustworthiness of the different elements. We report an evaluation of the tool design and a reflection on the challenges involved.
