14 papers
How People Evaluate AI-, Expert-, and Peer-Style Financial Advice
Aryan Ramchandra Kapadia, Eshwar Chandrasekharan, Koustuv Saha
As generative AI increasingly becomes a common source of daily decision-making, including financial choices, it is critical to understand how people evaluate AI-generated financial…
AI Content Moderation in Therapy Conversations
Jiwon Kim, Claire Wang, Taeung Yoon +2
Large language models (LLMs) are increasingly being used for emotional support. They are also being developed for formal therapy purposes. However, LLMs like ChaptGPT or Llama are…
Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations
Shanshan Zhu, Han Zhang, J. Doris Chi +2
LLMs are increasingly used to explain personal sensing data, translating traces of activity and mood into natural-language accounts of why an anomalous day may have occurred. Howev…
Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses Through Mutual Theory of Mind
Olivia Pal, Veda Duddu, Agam Goyal +2
Trust and reliance are often treated as coupled constructs in human-AI interaction research, with the assumption that calibrating trust will lead to appropriate reliance. We challe…
The Hidden Toll of Social Media News: Causal Effects on Psychosocial Wellbeing
Olivia Pal, Agam Goyal, Eshwar Chandrasekharan +1
News consumption on social media has become ubiquitous, yet how different forms of engagement shape psychosocial outcomes remains unclear. To address this gap, we leveraged a large…
RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions
Drishti Goel, Jeongah Lee, Qiuyue Joy Zhong +5
Caregivers seeking AI-mediated support express complex needs -- information-seeking, emotional validation, and distress cues -- that warrant careful evaluation of response safety a…