Optimizing SIA Development: A Case Study in User-Centered Design for Estuary, a Multimodal Socially Interactive Agent Framework
April 20, 2025 Β· Declared Dead Β· π CHI Extended Abstracts
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Authors
Spencer Lin, Miru Jun, Basem Rizk, Karen Shieh, Scott Fisher, Sharon Mozgai
arXiv ID
2504.14427
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
0
Venue
CHI Extended Abstracts
Last Checked
4 months ago
Abstract
This case study presents our user-centered design model for Socially Intelligent Agent (SIA) development frameworks through our experience developing Estuary, an open source multimodal framework for building low-latency real-time socially interactive agents. We leverage the Rapid Assessment Process (RAP) to collect the thoughts of leading researchers in the field of SIAs regarding the current state of the art for SIA development as well as their evaluation of how well Estuary may potentially address current research gaps. We achieve this through a series of end-user interviews conducted by a fellow researcher in the community. We hope that the findings of our work will not only assist the continued development of Estuary but also guide the development of other future frameworks and technologies for SIAs.
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