activity
20232026
most citedShould I Help a Delivery Robot? Cultivating Prosocial Norms through Observations

8 citations · 21 across the 10 of their papers we have counts for

collaborators

10 papers

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★ 1 cited

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★ 2 cited

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.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…

cs.HC2024

More than just a Tool: People's Perception and Acceptance of Prosocial Delivery Robots as Fellow Road Users

Vivienne Bihe Chi, Elise Ulwelling, Kevin Salubre +3

Service robots are increasingly deployed in public spaces, performing functional tasks such as making deliveries. To better integrate them into our social environment and enhance t…

cs.HC2024★ 6 cited

Can we enhance prosocial behavior? Using post-ride feedback to improve micromobility interactions

Sidney T. Scott-Sharoni, Shashank Mehrotra, Kevin Salubre +3

Micromobility devices, such as e-scooters and delivery robots, hold promise for eco-friendly and cost-effective alternatives for future urban transportation. However, their lack of…

cs.HC2024

How is the Pilot Doing: VTOL Pilot Workload Estimation by Multimodal Machine Learning on Psycho-physiological Signals

Jong Hoon Park, Lawrence Chen, Ian Higgins +11

Vertical take-off and landing (VTOL) aircraft do not require a prolonged runway, thus allowing them to land almost anywhere. In recent years, their flexibility has made them popula…

cs.RO2024★ 8 cited

Should I Help a Delivery Robot? Cultivating Prosocial Norms through Observations

Vivienne Bihe Chi, Shashank Mehrotra, Teruhisa Misu +1

We propose leveraging prosocial observations to cultivate new social norms to encourage prosocial behaviors toward delivery robots. With an online experiment, we quantitatively ass…

cs.HC2023

Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions

Shashank Mehrotra, Zahra Zahedi, Teruhisa Misu +1

Recent advances in Automated vehicle (AV) technology and micromobility devices promise a transformational change in the future of mobility usage. These advances also pose challenge…

cs.HC2023★ 4 cited

Trust in Shared Automated Vehicles: Study on Two Mobility Platforms

Shashank Mehrotra, Jacob G Hunter, Matthew Konishi +6

The ever-increasing adoption of shared transportation modalities across the United States has the potential to fundamentally change the preferences and usage of different mobilitie…