Yiqi Zhang - HTI Lab

Welcome to Human-Technology Interaction Lab

At HTI Lab, we aim to understand how humans interact with technology with a focus on Cyber Transportation Systems (CTS). With the continued advances in CTS, the communication between vehicles and the increased automation capability aim to support a new generation of safety applications and provide information to drivers in a reliable and timely manner. Our current research explores the interaction between humans and CTS under a framework that combined automation and communication technologies, in-vehicle information systems (cooperative collision warning systems), and human drivers. We adopt experimental and modeling approaches to investigate and quantify the effects of system characteristics on human behavior and performance in CTS.

Check out our recent research projects!

Recent News

Paper: Dr. Zhang has a new research article forthcoming on IEEE Transactions on Intelligent Transportation Systems, "A Cognitive Computational Model of Driver Warning Response Performance in Connected Vehicle Systems"
Paper: Xiaomei Tan and Dr. Zhang have a new research article forthcoming on Accident Analysis and Prevention, "The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles"
Paper: Xiaomei Tan and Dr. Zhang have a new research article forthcoming on Transportation Research Part F: Traffic Psychology and Behaviour, "Assessing the Potential Impacts of Connected Vehicle Systems on Driver’s Situation Awareness and Driving Performance"
Award: Xiaomei Tan received the Best Student Paper Award from HFES Surface Transportation Technical Groups at the 2021 HFES conference. Press release
Workshop: Dr. Zhang organized the workshop at Automotive UI 2021 on Computational Modeling of Driving Behaviors: Challenges and Approaches.
Paper: Zheng Ma and Dr. Zhang published a new paper on Accident Analysis and Prevention, "Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles".
Grant: Dr. Yiqi Zhang (PI) and Dr. Fenglong Ma have been awarded a IndustryXchange for their project entitled “Modeling of Driver Performance in Connected Vehicle Systems with Machine Learning Algorithms.”, 2020, Penn State News;
Award: Zheng Ma received Best Student Paper Award from HFES Surface Transportation Technical Groups. Press Release
Presentation: Zheng Ma will present his paper, "Investigating the Effects of Automated Driving Styles and Driver’s Driving Styles on Driver Trust, Acceptance, and Take Over Behaviors", at the HFES 2020 Annual Meeting.
Presentation: Rohit Misha will present his paper, "The Prediction of Collisions in Connected Vehicle Systems with A Long Short-Term Memory Model", at the HFES 2020 Annual Meeting.
Award: Rohit Misha received Travel Award for First Year Graduate Students from HFES Council of Technical Groups.
Presentation: Xiaomei Tan presented her first paper at the HFES 2019 Annual Meeting, Seattle, WA.
Grant: Dr. Zhang (single PI) has been awarded a NSF Grant for the project entitled “NSF: CRII: CHS: Addressing Individual Differences in Human-Autonomous Vehicle Interaction in Mixed Transportation Systems”, 2019. Press Release
Grant: Dr. Zhang (PI), Dr. Guler and Dr. Brennan have been awarded a Multidisciplinary Research Seed Grant for their project entitled “Impact of CAV Technologies on Driver Behavior”, 2019, Penn State News; Press Release
Paper: A journal paper is accepted by Accident Analysis and Prevention on 12/2018
Award: Dr. Zhang received Best Paper Award from Human Performance Modeling Technical Group in HFES 2018 Annual Meeting