8 citations · 11 across the 11 of their papers we have counts for
11 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…
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…
Explanations as Dialogues: Toward Human-Centered Conversational Explainable AI
Niharika Mathur, Smit Desai
As AI systems become increasingly conversational, a gap emerges wherein explanations are studied as static artifacts, yet in practice, are experienced as dialogue. In this provocat…
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…
Personas Evolved: Designing Ethical LLM-Based Conversational Agent Personalities
Smit Desai, Mateusz Dubiel, Nima Zargham +2
The emergence of Large Language Models (LLMs) has revolutionized Conversational User Interfaces (CUIs), enabling more dynamic, context-aware, and human-like interactions across div…
Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design
Nima Zargham, Mateusz Dubiel, Smit Desai +2
In the rapidly evolving field of artificial intelligence (AI) agents, designing the agent's characteristics is crucial for shaping user experience. This workshop aims to establish…
Examining Humanness as a Metaphor to Design Voice User Interfaces
Smit Desai, Mateusz Dubiel, Luis A. Leiva
Voice User Interfaces (VUIs) increasingly leverage 'humanness' as a foundational design metaphor, adopting roles like 'assistants,' 'teachers,' and 'secretaries' to foster natural…
CUI@CHI 2024: Building Trust in CUIs-From Design to Deployment
Smit Desai, Christina Wei, Jaisie Sin +10
Conversational user interfaces (CUIs) have become an everyday technology for people the world over, as well as a booming area of research. Advances in voice synthesis and the emerg…