Michigan Autonomous Vehicle Research Intergroup Collaboration (MAVRIC) is a cross-campus multidisciplinary collaboration to study Autonomous Vehicles.
Ann Arbor, MI
Joined June 2020
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MAVRIC retweeted
Love and sex with a chatbot? U-M study looks into AI relationships audacy.com/wwjnewsradio/podc…
MAVRIC retweeted
Did a radio interview today: "Love and sex with a chatbot? U-M study looks into AI relationships." Let me know what you think. The interview was based on our ( @XinYe_Eva @masterson_a )recent paper.
@umsi
#aicompanion
audacy.com/wwjnewsradio/podc…
MAVRIC retweeted
Research featured (6-Nov-2026) in Michigan News: Finding romance with AI: U-M study explores benefits, limits of chatbot intimacy by Noor Hindi.
@umsi @UMichResearch @XinYe_Eva @masterson_a #aicompanion
news.umich.edu/finding-roman…
MAVRIC retweeted
Can AI companionship feel intimate without easing loneliness? @masterson_a @XinYe_Eva, and I examined this in our forthcoming paper, "Finding Romance with AI" #AIcompanions
@umsi @UMichResearch @UMRobotics @michigan_AI
doi.org/10.1016/j.chbah.2026…
MAVRIC retweeted
We're looking for a new Department Chair.
And tenure-track faculty.
Join us in our mission of creating the next generation of robotics and roboticists as force-multipliers for the benefit of society.
Learn more and apply: robotics.umich.edu/about/job…
MAVRIC retweeted
When a robot enforces the rules, how it treats you matters. New work with PhD student @XinYe_Eva: robots that explain, listen, and apply rules consistently earn more trust as authority figures. HFES HART Best Student Paper runner-up 🎉
@umsi
si.umich.edu/about-umsi/news…
MAVRIC retweeted
Should AI always obey? Our new article explores when robots should refuse or challenge a request for principled reasons.
#robots
@aissighci @AISConnect @HRI_Conference @ieeeras
@EsterwoodConnor @sangseokyou
@umsi @UMRobotics @BlackInRobotics
aisel.aisnet.org/thci/vol18/…
MAVRIC retweeted
Big congrats to @XinYe_Eva on our new paper, Mitigating Human–Security Robot Conflict Through Fairness. We found that distributive and informational fairness reduce conflict and boost security robot acceptance.
@umsi @UMRobotics @BlackInRobotics
tandfonline.com/doi/full/10.…
MAVRIC retweeted
Congrats to MichealNayebare @kwameporterrob1 @roneglash @audreygbennett @guzdial
New paper: "Understanding online conversations through fractal dimension."
@umsi @UMichiganNews @BlackInRobotics @UMRobotics
link.springer.com/article/10…
MAVRIC retweeted
Healthcare robots for older adults won’t succeed on novelty alone — design matters. Read our new article on the topic! @CarolQiaoning @Jessie_YangXi @umsi @BlackInRobotics @UMRobotics @ieeeras @HRI_Conference
doi.org/10.1007/s12369-026-0…
MAVRIC retweeted
Congrats @XinYe_Eva on a new HFES paper — Trusting Security Robotic Authority
#HFES2026 @HFES
#Robots #Trust @umsi @HRI_Conference @ieeeras @BlackInRobotics @UMRobotics
doi.org/10.1177/107118132614… #HRI
MAVRIC retweeted
Congratulations to Annette, Wonse, and Helena!!
@umsi @UMRobotics @ieeeras @umich_hcc_lab @BlackInRobotics @um_midas #robotics #hri
Mixed-Agent Museum Tour Guide Design Improves Gendered Learning Outcomes and Visitor Preferences
Annette M. Masterson, Wonse Jo, Helena C. Sieh, Lionel P. Robert,, Dawn Tilbury
arxiv.org/abs/2607.14468 [𝚌𝚜.𝚁𝙾 𝚌𝚜.𝙼𝙰 𝚎𝚎𝚜𝚜.𝚂𝚈]
ALT Robots are increasingly integrated into everyday contexts, including museums, where they can both entertain and educate visitors. To enhance visitor experience and engagement, we present a novel mixed-agent tour guide system that combines a physical robot with a projected virtual agent that actively participates in the tour through conversation and interaction, achieving the interaction richness of two mobile agents from a single platform. We validate the system through a within-subjects study with 30 participants to assess engagement, quality of experience, and learning performance. Participants experienced different conversational styles and agent configurations, and data were collected via surveys, behavioral sensors, and interviews. Results showed that engagement and quality of experience remained consistent across conditions. Learning performance revealed a significant gender-moderated difference: the mixed-agent conditions improved learning performance for female participants. Th
MAVRIC retweeted
What sets physical robots apart from AI like ChatGPT? We explore the validity of virtual robots in HRI research in our Science Robotics paper. Huge congrats to Connor and Xin! Check out the article and full paper below
@umsi @UMRobotics @BlackInRobotics
si.umich.edu/about-umsi/news… – at Pittsfield, MI
MAVRIC retweeted
Great news article on our new research project on secure human-AI teams!
@umsi @UMRobotics @BlackInRobotics @UTKnoxville @UTK_TCE
sciencex.com/wire-news/53692… – at Saline, MI
MAVRIC retweeted
Congratulations to Xin Ye! Our paper on promoting cooperation with security robots through fairness and value alignment is being presented today at #HRI2026
@ieeeras @HRI_Conference @umsi @UMRobotics @UMich @BlackInRobotics @iKnightscope
dl.acm.org/doi/10.1145/37572… – at Edinburgh, Scotland
MAVRIC retweeted
Congratulations to Arsha Ali on her paper: Promoting Human–Robot Team Effectiveness: Shared Mental Models and Communication Improve Team Situation Awareness and Performance.
@ieeeras @umsi @UMRobotics @BlackInRobotics
@UMichResearch #robotics #hri
ieeexplore.ieee.org/document…
MAVRIC retweeted
Robotics: Shaping Inequality in Global Labor youtube.com/shorts/SfVeQMEw_… via @YouTube
MAVRIC retweeted
Quoted (Dec 29, 2025) in the Financial Times in "Why people love neurotic robots" by Patti Waldmeir.
@umsi @UMRobotics @BlackInRobotics @UMichResearch @um_midas @michigan_AI @HRI_Conference @ieeeras @FT
ft.com/content/618c2136-2c7f…
MAVRIC retweeted
Quoted (Dec 19, 2025) in the New York Times news story "Why Do A.I. Chatbots Use ‘I’?" by Kashmir Hill.
@NewYorkTimes_es @umsi @UMRobotics @UMichResearch @BlackRobotics @michigan_AI @um_midas
nytimes.com/2025/12/19/techn…
