When Automated Vehicles Cannot Retaliate: Driver-Initiated Takeover Under Aggression in Mixed Traffic

Simulator study finds drivers initiate takeovers under sharp braking and high aggression because automated vehicles cannot retaliate to human drivers.

Haitao Chen, Yiqi Zhang

Published Sep 24, 2026 · 0 citations

Mitigating driver confusion and aggression in mixed traffic: Effects of V2V communication and driving style

V2V communication and assertive automated vehicle driving styles reduce human driver confusion and aggression in mixed traffic interactions.

Haitao Chen, Yiqi Zhang

Published Jul 24, 2026 · 0 citations

AI-Assisted Classification under Correlation Neglect and Trust

Saurabh Amin, Amine Bennouna, Daniel Huttenlocher, Dingwen Kong and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Human–AI Collaboration Requires a High-Order Dynamic Abstraction Substrate

Hengyu Liu, Dongxu Huang, Zhihong Cui, Lun Du and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Narrowing the Collaboration Gap, Probably

Mirah Shi, Marcel Hussing, Natalie Collina, Ira Globus-Harris and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Unifying Partner and Environment Diversity to Improve Human-AI Coordination

Patrick Q Zhang, Yancheng Liang, Adrienne Fairhall, Natasha Jaques

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Causal Effects with Unobserved Unit Types in Interacting Human–AI Systems

Using a human-AI prior and causal message passing framework, varying subpopulation composition and treatment exposure consistently identifies human-specific causal effects without observing unit types or interaction networks.

William Overman, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Path Dependence under Adaptive AI Delegation

Adaptive AI delegation couples error-driven skill decay with performance-driven reliance, producing path-dependent bistability where stronger AI can enlarge the low-skill basin and cause long-run performance below no-AI baselines.

Lingxiao Huang, Nisheeth K. Vishnoi

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Early Prediction of Future Behavioral Strategy from Process Traces

A process-level latent variable model predicts future behavioral strategy from partial cross-task process traces via transferable person-level representations. In PowerWash Simulator it predicts zone planner versus hopper behavior in held-out levels.

Robert Kasumba, Dennis Barbour, Chien-Ju Ho

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

Embeddings for Preferences, Not Semantics

Text embeddings should encode preferential rather than semantic similarity for collective decisions; breaking nuisance correlation with synthetic training improves preference prediction across 11 deliberation datasets.

Carter Blair, Ariel Procaccia, Milind Tambe

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

AI Agents Push Humans Out of the Loop

AI agent designs undermine human oversight by degrading the cognitive skills required for effective control. Effective oversight requires design affordances and protocols that preserve critical judgment and counter automation-induced skill atrophy.

Margaret Mitchell, Avijit Ghosh, Samir Passi

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026