collaborators

6 papers

cs.HC2026

Adaptive Driving Style for SAE Level-2 Driving Automation: Minimizing Preference Mismatch

Kumar Akash, Zhaobo Zheng, Teruhisa Misu +4

Driving style is a key factor in the comfort and acceptance of automated vehicle (AV) features. In SAE Level-2 automation, where the driver must supervise the system and remain rea…

cs.MA2026

Too Many Specialists: Emergent Inefficiencies and Bottlenecks for Multi-agent Ad-hoc Collaboration

Benjamin Panny, Shashank Mehrotra, Zahra Zahedi +2

Computational models of collaboration without prior coordination often overlook how heterogeneous agent traits and complex task structures jointly produce systemic bottlenecks, ine…

cs.HC2026

Strategic Shaping of Human Prosociality: A Latent-State POMDP Framework

Zahra Zahedi, Xinyue Hu, Shashank Mehrotra +2

We propose a decision-theoretic framework in which a robot strategically can shape inferred human's prosocial state during repeated interactions. Modeling the human's prosociality…

cs.HC2026

Exploring The Impact Of Proactive Generative AI Agent Roles In Time-Sensitive Collaborative Problem-Solving Tasks

Anirban Mukhopadhyay, Kevin Salubre, Hifza Javed +2

Collaborative problem-solving under time pressure is common but difficult, as teams must generate ideas quickly, coordinate actions, and track progress. Generative AI offers new op…

cs.LG2025

Self-Supervised Learning-Based Multimodal Prediction on Prosocial Behavior Intentions

Abinay Reddy Naini, Zhaobo K. Zheng, Teruhisa Misu +1

Human state detection and behavior prediction have seen significant advancements with the rise of machine learning and multimodal sensing technologies. However, predicting prosocia…

cs.AI2025

Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility

Zahra Zahedi, Shashank Mehrotra, Teruhisa Misu +1

For future human-autonomous vehicle (AV) interactions to be effective and smooth, human-aware systems that analyze and align human needs with automation decisions are essential. Ac…