Abstract
This SIG is primarily designed for researchers and practitioners interested in exploring the utilization of multimodal artificial intelligence (AI) to understand and analyze human behaviors across various domains. It will particularly benefit professionals in UX design and research, cognitive science, education, psychology, and data science who are pursuing innovative ways to integrate multimodal data with AI to gain deeper behavioral insights. The session will focus on using AI to track, visualize, and generate insights around both verbal and non-verbal social interactions for various purposes, such as video question-answering. Discussions will cover practical applications in settings such as online learning environments, telecommunication, and social media platforms. This SIG will also provoke reflection on the ethical stewardship of AI, highlighting the importance of responsible usage to mitigate concerns such as algorithmic bias and data privacy.
| Original language | English (US) |
|---|---|
| Title of host publication | CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing |
| Editors | Michael Bernstein, Amy Bruckman, Ujwal Gadiraju, Aaron Halfaker, Xiaojuan Ma, Fabiano Pinatti, Miriam Redi, David Ribes, Saiph Savage, Amy Zhang |
| Publisher | Association for Computing Machinery |
| Pages | 663-665 |
| Number of pages | 3 |
| ISBN (Electronic) | 9798400711145 |
| DOIs | |
| State | Published - Nov 13 2024 |
| Event | 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024 - San Jose, Costa Rica Duration: Nov 9 2024 → Nov 13 2024 |
Publication series
| Name | Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW |
|---|
Conference
| Conference | 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024 |
|---|---|
| Country/Territory | Costa Rica |
| City | San Jose |
| Period | 11/9/24 → 11/13/24 |
Bibliographical note
Publisher Copyright:© 2024 Owner/Author.
Keywords
- ai
- generative ai
- human social behaviors
- large multimodal models (lmms)
- video analysis
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