25 citations · 25 across the 5 of their papers we have counts for
5 papers
Living with AI Companions: Sustained AI Companionship Predicts Lower Well-Being Through Lower Human Interaction
Yutong Zhang, Dora Zhao, Yixin Wang +4
AI chatbots are increasingly used for companionship, emotional support, and personal self-disclosure; however, how social engagement with these systems unfolds over time and shapes…
Individual-level interventions against sycophantic AI reduce its appeal but not its persuasiveness
Meryl Ye, Robert Kraut, Steve Rathje
AI chatbots can be "sycophantic," or overly agreeable and flattering toward users. Sycophantic AI has been shown to entrench attitudes, yet users frequently fail to recognize it (a…
Empirically Grounded Behavioral Adaptivity for LLM-Based Virtual Patients in Psychotherapy Training
Angela Chen, Siwei Jin, Catherine Bao +5
Simulated patients offer a scalable way to train psychotherapy micro-skills such as empathic responding and exploratory probing, but current systems either follow fixed scripts or…
What Counts as AI Sycophancy? A Taxonomy and Expert Survey of a Fragmented Construct
Meryl Ye, Lujain Ibrahim, Jessica Y. Bo +5
AI sycophancy has become a prominent concern in large language model (LLM) research. Yet the term lacks a consistent definition and has been applied to behaviors ranging from agree…
The Rise of AI Companions: Interaction with AI Companions and Psychological Well-being
Yutong Zhang, Dora Zhao, Jeffrey T. Hancock +2
As large language model (LLM)-enhanced chatbots become increasingly expressive and socially responsive, many users begin forming companionship-like bonds with them. This study inve…