22 citations · 26 across the 13 of their papers we have counts for
13 papers
Sources of Inequity and Fairness Risks in Wellbeing Sensing
Han Zhang, Vedant Das Swain, Koustuv Saha +2
Passive sensing for wellbeing uses smartphones and wearables to continuously collect human behavioral data and applies ML/AI models to infer psychological states and behaviors (e.g…
AI-Mediated Negotiation: Design Reflections and Lessons
Veda Duddu, Jash Rajesh Parekh, Andy Mao +4
Conversational AI promises a new kind of preparation for high-stakes workplace negotiations -- personalized, interactive, and capable of simulating realistic resistance. That promi…
TUX: Measuring Human--AI Tacit Understanding
Yueshen Li, Hanyi Min, Vedant Das Swain +1
As large language models (LLMs) increasingly act as collaborative partners, human--AI alignment is often evaluated through explicit task success, accuracy, or reward optimization.…
Not My Truce: Personality Differences in AI-Mediated Workplace Negotiation
Veda Duddu, Jash Rajesh Parekh, Andy Mao +4
AI-driven conversational coaching is increasingly used to support workplace negotiation, yet prior work assumes uniform effectiveness across users. We challenge this assumption by…
Does AI Coaching Prepare us for Workplace Negotiations?
Veda Duddu, Jash Rajesh Parekh, Andy Mao +4
Workplace negotiations are undermined by psychological barriers, which can even derail well-prepared tactics. AI offers personalized and always -- available negotiation coaching, y…
GLOSS: Group of LLMs for Open-Ended Sensemaking of Passive Sensing Data for Health and Wellbeing
Akshat Choube, Ha Le, Jiachen Li +3
The ubiquitous presence of smartphones and wearables has enabled researchers to build prediction and detection models for various health and behavior outcomes using passive sensing…
RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care
Ziqi Yang, Yuxuan Lu, Jennifer Bagdasarian +9
Cancer surgery is a key treatment for gastrointestinal (GI) cancers, a group of cancers that account for more than 35% of cancer-related deaths worldwide, but postoperative complic…
Imputation Matters: A Deeper Look into an Overlooked Step in Longitudinal Health and Behavior Sensing Research
Akshat Choube, Rahul Majethia, Sohini Bhattacharya +3
Longitudinal passive sensing studies for health and behavior outcomes often have missing and incomplete data. Handling missing data effectively is thus a critical data processing a…
AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
Vedant Das Swain, Qiuyue "Joy" Zhong, Jash Rajesh Parekh +7
Client-Service Representatives (CSRs) are vital to organizations. Frequent interactions with disgruntled clients, however, disrupt their mental well-being. To help CSRs regulate th…
Navigating AI Fallibility: Examining People's Reactions and Perceptions of AI after Encountering Personality Misrepresentations
Qiaosi Wang, Chidimma L. Anyi, Vedant Das Swain +1
Many hyper-personalized AI systems profile people's characteristics (e.g., personality traits) to provide personalized recommendations. These systems are increasingly used to facil…
Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing
Han Zhang, Vedant Das Swain, Leijie Wang +7
Behavioral sensing technologies are rapidly evolving across a range of well-being applications. Despite its potential, concerns about the responsible use of such technology are esc…
SeSaMe: A Framework to Simulate Self-Reported Ground Truth for Mental Health Sensing Studies
Akshat Choube, Vedant Das Swain, Varun Mishra
Advances in mobile and wearable technologies have enabled the potential to passively monitor a person's mental, behavioral, and affective health. These approaches typically rely on…
Leveraging WiFi Network Logs to Infer Student Collocation and its Relationship with Academic Performance
V. Das Swain, H. Kwon, S. Sargolzaei +10
A comprehensive understanding of collocation can help understand performance outcomes. For university cohorts, this needs data that describes large groups over a long period. Harne…