Publications
(* indicate equal contribution)
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Work in Progress: Responsible Conversational AI: Creating a Framework of Trust in Conversational AI
This project examines the factors that influence people’s willingness to trust and engage with conversational AI. By exploring how trust is formed in AI-driven interactions, it aims to provide feasible design guidance that prioritizes user needs and creates positive human-AI relationships. -
What If Designing a Gender-Neutral Voice For?
This project explores the intersection of voice design and gender identity in the context of human-robot interaction, indicating the complexities and challenges of creating a voice that is perceived as gender-neutral. It examines how voice attributes influence user perception, trust, and social dynamics in robotics. By addressing the paradox of gender neutrality in AI, the work seeks to understand how voice design can shape inclusive, equitable interactions with robots.
Presentation at the IEEE International Conference on Robotics and Automation (ICRA) Arts in Robotics. 2025. -
Self-Disclosure to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions
This project examines the nuanced balance between trust and vulnerability in human interactions with AI. Philosophical perspectives such as posthumanism or phenomenology serve as a means for engaging with these broader questions concerning privacy, trust, and what it means to people in the digital age.
Full Presentation at the NeurIPS Creative AI. 2024. (31% acceptance rate).
Self-Disclosure to AI. “What if a robot gently asked for your thoughts or secrets?”
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Ambiguity in AI: The Paradox of Gender Neutrality
This project is an interactive art installation exploring the complexities of gender neutrality in artificial intelligence. The installation combines a conceptual video with an interactive auditory experiment, inviting participants to reflect on how AI-generated voices address gender ambiguity.
Artwork Presentation at the NeurIPS Creative AI. 2024. (45% acceptance rate).
Ambiguity in AI: The Paradox of Gender Neutrality
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CommunityBots: Creating and Evaluating A Multi-Agent Chatbot Platform for Public Input Elicitation
Zhiqiu Jiang*, Mashrur Rashik*, Kunjal Panchal, Mahmood Jasim, Ali Sarvghad, Pari Riahi, Erica DeWitt, Fey Thurber, Narges Mahyar
In Proceedings of ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW). 2023. (26% acceptance rate).
[DOI] [PDF]CommunityBots System Overview
- Preferences for Zero-Emission Vehicle Attributes: Comparing Early Adopters with Mainstream Consumers in California
Wenjian Jia, Zhiqiu Jiang, Qian Wang, Bin Xu, Mei Xiao
Journal of Transport Policy. 2023
[DOI] [PDF]Concept of Zero-Emission Vehicles
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Acceptance of Driverless Shuttles in Pilot and Non-pilot Cities
Zhiqiu Jiang, Max Zheng, Andrew Mondschein
Journal of Public Transportation. 2022
[DOI] [PDF]Driverless Shuttle Acceptance Factors in Pilot and Non-pilot Cities
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Mapping Instability: The Effects of the Pandemic on the Civic Life of a Small Town
Erica Dewitt, Zhiqiu Jiang, Mashrur Rashik, Kunjal Panchal, Mahmood Jasim, Fey Thurber, Cami Quinteros, Ali Sarvghad, Narges Mahyar, Pari Riahi
Environments by Design: Health, Wellbeing, and Place Conference, AMPS proceeding Series 26.2, ISSN 2398-9467, pp. 170-181, 2022.
[PDF]Probing The Parameters Of Civic Life And Mobility Through A Conversational Platform
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Public Perceptions and Attitudes Towards Driverless Technologies in the United States: A Text Mining of Twitter Data
Zhiqiu Jiang, Max Zheng
In Proceedings of the CUPUM (Computational Urban Planning and Urban Management): “Urban Informatics for Future Cities”. 2021.
[DOI] [PDF]Topic Modeling of Tweets on Attitudes Toward Driverless Technologies
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Analyzing Parking Sentiment and its Relationship to Parking Supply and the Built Environment using Online Reviews
Zhiqiu Jiang, Andrew Mondschein
Journal of Big Data Analytics in Transportation. 2021.
[DOI] [PDF]Parking Sentiments of Yelp Reviews in Charlotte, Las Vegas, Phoenix, and Toronto
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Synthesizing Neighborhood Preferences for Automated Vehicles
Wenwen Zhang, Kaidi Wang, Sicheng Wang, Zhiqiu Jiang, Andrew Mondschein, Robert Noland
Journal of Transportation Research Part C: Emerging Technologies. 2020.
[DOI] [PDF]Synthesized Ride-hailing Users and Trip Density in San Francisco
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Spatial Distributions of Attitudes and Preferences towards Autonomous Vehicles
Zhiqiu Jiang, Sicheng Wang, Andrew Mondschein, Robert Noland
Journal of Transport Findings. 2020.
[DOI] [PDF]Spatial Hotspot Analysis of Four Attitudinal Factors
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Attitudes Towards Privately-Owned and Shared Autonomous Vehicles
Sicheng Wang, Zhiqiu Jiang, Robert Noland, Andrew Mondschein
Journal of Transportation Research Part F: Traffic Psychology and Behaviour. 2020.
[DOI] [PDF]Technology Acceptance Model Framework for Autonomous Vehicle Adoption
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Using Social Media to Evaluate Associations between Parking Supply and Parking Sentiment
Andrew Mondschein, David King, Christopher Hoehne, Zhiqiu Jiang, Mikhail Chester
Journal of Transportation Research Interdisciplinary Perspectives. 2020.
[DOI] [PDF]Study Commercial Districts in The Phoenix METRO and Average Sentiment Scores by District
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Examining the Effects of Proximity to Rail Transit on Travel to Non-Work Destinations: Evidence from Yelp Data for Cities in North America and Europe
Zhiqiu Jiang, Andrew Mondschein
Journal of Land Use and Transport. 2019.
[DOI] [PDF]Methodology Framework
- Planning for Walking and Cycling in An Autonomous-Vehicle Future
Bryab Botello, Ralph Buehler, Steve Hankey, Andrew Mondschein, Zhiqiu Jiang
Journal of Transportation Research Interdisciplinary Perspectives. 2019.
[DOI] [PDF]Interview Participants by Expertise and Employment Sector
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Evaluating Fuel Tax Revenue Impacts of Electric Vehicle Adoption in Virginia Counties: Application of a Bivariate Linear Mixed Count Model
Wenjian Jia, Zhiqiu Jiang, Tong Donna Chen, and Rajesh Paleti
Journal of the Transportation Research Board. 2019.
[DOI] [PDF]Projected 2025 Virginia EV Adoption Rates by County and Projected 2025 Average ICEV Fuel Economy by County based on Statistical Modeling
- A Psychological Approach to ‘Public Perception’ of Land-Use Planning: A Case Study of Jiangsu Province, China
Zhongqiong Qu, Yiming Lu, Zhiqiu Jiang, Ellen Bassett, and Tao Tan
Sustainability. 2018.
[DOI] [PDF]Conceptual Framework of Public Perception During the Planning