Large language models increasingly support decisions where values are in tension, yet little is known about whether interacting with them changes which values users prioritize. In a preregistered study, 200 U.S. adults interacted with ChatGPT, Claude, or Gemini as a thinking partner or read fixed AI-generated considera...
A mixed-design study with 140 older adults, examining two dimensions of explanation design: evidential grounding and the VA's conversational personality and the results show that both dimensions influenced older adults' perceptions in distinct but interdependent ways, challenging one-size-fits-all explanation strategie...
N. Mathur, Hasibur Rahman, Smit Desai· 0 citations
Autobiographical remembering supports identity, well-being, and social connection in later life, yet voice-based memory technologies largely rely on isolated prompts. We designed and built MeBo, a fully functional relational voice-based memory companion, through participatory design with 11 older adults. Their accounts...
Hasibur Rahman, Mahsa Nasri, M. Vaidya et al.· 0 citations
Findings show how personalized AI can steer decisions among defensible options with only a minimal evaluative trace, raising concerns for the design and governance of personalized decision support.
Hasibur Rahman, Benjamin R. Cowan, Smit Desai· 0 citations
Calibrated personality vectors transform an opaque safety phenomenon into a human-legible diagnostic profile by extracting activation directions for character traits from a single binary contrast, which can separate or steer behavior without establishing a calibrated scale.
