9 papers
Deflecting the Value Compass: Interacting with Large Language Models Temporarily Shifts Human Value Priorities Toward Personal Focus
Hasibur Rahman, Malak Sadek, Smit Desai
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…
"MeBo Leaves a Piece of You Behind": Designing a Relational Voice-Based Memory Companion for Older Adults
Hasibur Rahman, Mahsa Nasri, Manasi Vaidya +3
Autobiographical remembering supports identity, well-being, and social connection in later life, yet voice-based memory technologies largely rely on isolated prompts. We designed a…
Annie, Are You Okay? How Style- and Context-Based Personalization Shape AI-Assisted Decision-Making
Hasibur Rahman, Benjamin R. Cowan, Smit Desai
As people turn to generative AI for financial advice, these systems can personalize how they communicate and what they say. Whether these forms of personalization shape decisions d…
Misalignment Has a Personality: A Big Five Account of Emergent Misalignment
Hasibur Rahman, Smit Desai
Fine-tuning a language model on data containing a narrow flaw, such as insecure code or incorrect mathematical answers, can cause broad misalignment through a mechanism that remain…
Behavior-Adaptive Conversational Agents: Toward a Fluid Personality Framework
Hasibur Rahman, Smit Desai
Large language model (LLM)-based conversational agents (CAs) are now ubiquitous, creating new opportunities for AI-mediated behavior change. Their capacity to project nuanced perso…
Exploring the Feasibility and Acceptability of AI-Mediated Serious Illness Conversations in the Emergency Department
Hasibur Rahman, Kenji Numata, Evelyn T Lai +4
Serious illness conversations (SICs) align care with patients' values, goals, and preferences, yet they rarely occur in emergency departments (EDs), where time constraints and emot…
Tell Me Why, When, and How: Effects of Personality, Evidence, and Context on Older Adults' Perceptions of Conversational AI Explanations
Niharika Mathur, Hasibur Rahman, Smit Desai
Large Language Model-based voice assistants (LLM-VAs) have shown potential to support older adults aging in place through proactive reminders, health information, and everyday assi…
"Who wants to be nagged by AI?": Investigating the Effects of Agreeableness on Older Adults' Perception of LLM-Based Voice Assistants' Explanations
Niharika Mathur, Hasibur Rahman, Smit Desai
LLM-based voice assistants (VAs) increasingly support older adults aging in place, yet how an assistant's agreeableness shapes explanation perception remains underexplored. We cond…
CCD-Bench: Probing Cultural Conflict in Large Language Model Decision-Making
Hasibur Rahman, Hanan Salam
Although large language models (LLMs) are increasingly implicated in interpersonal and societal decision-making, their ability to navigate explicit conflicts between legitimately d…