activity
20242026
most citedModular Conversational Agents for Surveys and Interviews

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction

Narges Ahmadi, Yubo Jiao, Jônatas Augusto Manzolli +2

Travel behavior research increasingly combines digital data collection with predictive modeling, yet these stages are often developed and evaluated separately. This study proposes…

cs.AI2026

When Agents Meet Electric Bus Fleet Operations: Pricing Behavior, Trade-offs, and Policy Implications in an Aggregator Framework

Jônatas Augusto Manzolli, Ali Eslami, Luis Miranda-Moreno +1

Agentic systems are changing how complex operational tasks are coordinated, introducing a new paradigm for connecting heterogeneous data sources and automating processes. Electric…

cs.AI2026

MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle Collaboration

Jiyao Wang, Yunbiao Wang, Yubo Jiao +6

Prior studies report that partial driving automation can increase the cognitive demands on human drivers. This effect largely arises from human drivers' lack of transparent insight…

cs.CY2025

Agentic Vehicles for Human-Centered Mobility: Definition, Prospects, and Synergistic Co-Development with Vehicle Autonomy

Jiangbo Yu, Raphael Frank, Luis Miranda-Moreno +6

Autonomy, from the Greek autos (self) and nomos (law), refers to the capacity to operate according to internal rules without external control. Autonomous vehicles (AuVs) are theref…

cs.HC2024★ 1 cited

Modular Conversational Agents for Surveys and Interviews

Jiangbo Yu, Jinhua Zhao, Luis Miranda-Moreno +1

Surveys and interviews are widely used for collecting insights on emerging or hypothetical scenarios. Traditional human-led methods often face challenges related to cost, scalabili…