37 citations · 38 across the 5 of their papers we have counts for
6 papers
Benchmarking Psychological Dynamics in Generative Agents
Sumer S. Vaid, Ashley V. Whillans
Large language models (LLMs) are increasingly deployed to simulate human behavior, acting as computational replicas of human subjects. Yet the lived psychological experience of hum…
Digital Fragmentation and Generative AI Use Across 103 Million Application Events
Sumer S. Vaid, Ashley V. Whillans
Knowledge workers switch between applications thousands of times per day, spending nearly a tenth of the work year transitioning between digital applications in a process called di…
Toward an AI-Powered Computational Testbed for Workforce Policy
Sumer S. Vaid, Ashley V. Whillans
Workforce transformations are difficult to forecast and costly to mismanage. In particular, the integration of artificial intelligence into knowledge work currently affects a subst…
Personalized Emotion Detection from Floor Vibrations Induced by Footsteps
Yuyan Wu, Yiwen Dong, Sumer Vaid +2
Emotion recognition is critical for various applications such as early detection of mental health disorders and emotion based smart home systems. Previous studies used various sens…
Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior
Heinrich Peters, Joseph B. Bayer, Sandra C. Matz +3
The present paper introduces a novel approach to studying social media habits through predictive modeling of sequential smartphone user behaviors. While much of the literature on m…
Modeling Personality vs. Modeling Personalidad: In-the-wild Mobile Data Analysis in Five Countries Suggests Cultural Impact on Personality Models
Mohammed Khwaja, Sumer S. Vaid, Sara Zannone +3
Sensor data collected from smartphones provides the possibility to passively infer a user's personality traits. Such models can be used to enable technology personalization, while…