8 papers · 1 filter
Assessing the Applicability of Existing Design Recommendations to AI Companion Design: A Multi-Method Study
Soobin Cho, Deveshi Modi, Divya Mavinkurve +2
With the rapid proliferation of large language model (LLM)-based systems, AI companions have emerged as conversational agents designed to cultivate emotional connection rather than…
How Much Can AI Understand? Toward AI-Assisted Sensemaking of Collaborative Discussion in Groups with Shared History
Soobin Cho, Mark Zachry, David W. McDonald
AI tools that support collaborative discussion typically treat the discussion as a standalone task, focusing only on its content and setting aside the social context of the group h…
Popularity Without Legitimacy? Comparing Trust in Television Meteorologists and YouTube Weatherfluencers
Julie A. Vera, David W. McDonald, Mark Zachry
During severe weather events, people must interpret rapidly evolving information to make time-sensitive safety decisions. Broadcast meteorologists have traditionally served as cred…
Developing an AI Concept Envisioning Toolkit to Support Reflective Juxtaposition of Values and Harms
Pitch Sinlapanuntakul, Soyun Moon, Yuri Kawada +2
Early-stage concept envisioning is a critical juncture in AI design, shaping how designers frame problems and the decisions that follow. Yet values and potential harms are often to…
How Designers Envision Value-Oriented AI Design Concepts with Generative AI
Pitch Sinlapanuntakul, Aayushi Dangol, Xiaoyi Xue +1
As AI integrates into design practice, designers increasingly use generative AI tools to envision AI-enabled solutions, positioning AI as both design tool and design material. This…
Making Sense of the Weather, Together: Collaborative Sensemaking in Severe Weather Livestreams
Julie A. Vera, Mark Zachry, David W. McDonald
This paper examines collaborative sensemaking during severe weather events through the emerging phenomenon of "weatherfluencers" or content creators who livestream meteorological i…