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Presenter

X.Jessie Yang
University of Michigan
Biography
X. Jessie Yang is an associate professor in the Department of Industrial and Operations Engineering and the Department of Robotics at the University of Michigan, Ann Arbor. She obtained a PhD degree in mechanical and aerospace engineering (human factors) from Nanyang Technological University, Singapore, in 2014.
Presentations
Poster
Conceptualizing Patient-Provider Connectedness in the Inpatient Clinical Setting
5:30pm - 6:30pm CDT Wednesday, October 15th Riverside East
Lecture
From Parts to Whole: How Trust in AI and Humans Shapes System Trust
4:30pm - 4:50pm CDT Tuesday, October 14th Grand B
Human AI Robot Teaming (AI)
Poster
Trust Propagation in Multi-Operator Multi-Agent (MOMA) Teams between Friends and Strangers
5:30pm - 6:30pm CDT Wednesday, October 15th Riverside East
Industry/Practitioner Content
Lecture
UX Miniconference
Voice Similarity and Its Impact on Cognitive and Affective Trust in Automated Vehicles
1:50pm - 2:10pm CDT Wednesday, October 15th Grand Hall M/N
User Experience
UX Mini-Conference
Lecture
Understanding User Needs in Automated Vehicle Explanations: A Qualitative Approach
8am - 8:20am CDT Friday, October 17th Grand Hall G/H
User Experience
Creating AI that Works for People
Lecture
A Rational Operator's Behavior Working with Diagnostic Automation with Fully Informative Automation Validity Information
11:30am - 11:50am CDT Thursday, October 16th Grand B
Cognitive Engineering & Decision Making
Creating AI that Works for People: Human-Centered Innovation
Lecture
Experimental Investigation and Queuing Network (QN) Modeling of Speed-Accuracy Tradeoff (SAT) and Speed-Confidence Tradeoff (SCT) in Multi-Task Human-Robot Collaboration (HRC)
4:50pm - 5:10pm CDT Thursday, October 16th Grand E/F
Human Performance Modeling
Industry/Practitioner Content
Lecture
UX Miniconference
Understanding Explanation Content for Cognitive and Affective Trust in Automated Vehicles
3:40pm - 4pm CDT Tuesday, October 14th Grand Hall M/N
User Experience
UX Mini-Conference
Creating AI that Works for People
Lecture
Evaluating the Impact of Consequence on Trust in AI-Aided Tasks: An Eyetracking Study
11:50am - 12:10pm CDT Thursday, October 16th Grand B
Cognitive Engineering & Decision Making
Creating AI that Works for People: Human-Centered Innovation
Creating AI that Works for People
Lecture
Understanding Multi-Referent Trust in AI-Supported Evacuations: The Role of Transparency and Altruism
12:10pm - 12:30pm CDT Thursday, October 16th Grand B
Cognitive Engineering & Decision Making
Creating AI that Works for People: Human-Centered Innovation
Creating AI that Works for People
Industry/Practitioner Content
Lecture
Trust in the Team as a Function of Trust in Individual Agents: Scale Validation and Modeling
1:30pm - 1:50pm CDT Thursday, October 16th Grand B
Human AI Robot Teaming (AI)
Creating AI that Works for People: Human-Centered Innovation
Poster
Interactions Between Workers and Automated Guided Vehicles: Impact of eHMI Design
5:30pm - 6:30pm CDT Tuesday, October 14th Riverside East
Committee Roles
HART TG Program Chair