Journal Publication
Blaming yourself, your partner, or an unexpected event: Attribution biases and trust in a physical coordination task
Hsiung, C. P, Leon, G. A., Stinson, D & Chiou, E. K
Human Factors and Ergonomics in Manufacturing & Service Industries
As robots enabled by artificial intelligence become more agentic, people may come to develop trust schemas based on a robot's actions and attribute blame to the robot as they would with a human partner. Trust and blame have yet to be investigated during dynamic physical coordination tasks despite the potential ramifications for manufacturing and service industries that could benefit from effective human–robot physical coordination. In anticipation of future human–robot work configurations, we developed a joint physical coordination task as a preliminary test environment for understanding trust and blame in a work partner. Fifty-five participants were asked to jointly balance and transport a weighted box along a fixed path, and we used this test environment to evaluate the impact of a surprising event on trust in a work partner, and attribution of blame following a negative performance outcome.
Quantitative Modeling and Analysis of Reliance in Physical Human–Machine Coordination
Wang, Y., Lematta, G. J., Hsiung, C. P., Rahm, K. A., Chiou, E. K., & Zhang, W.
2019 | Journal of Mechanisms and Robotics, 11(6).
Smooth and efficient human–machine coordination in joint physical tasks may be realized through greater sensing and prediction of a human partner's intention to apply force to an object. In this paper, we define compliance and reliance in the context of physical human–machine coordination (pHMC) to characterize human responses in a joint object transport task.
Conference Publication
The Best Student Paper Award.
Attribution Biases and Trust Development in Physical Human-Machine Coordination: Blaming Yourself, Your Partner or an Unexpected Event.
Hsiung, C. P., & Chiou, E.
2019, November | In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 63, No. 1, pp. 211-211). Sage CA: Los Angeles, CA: SAGE Publications.
Reading partners’ actions correctly is essential for successful coordination, but interpretation does not always reflect reality. Attribution biases, such as self-serving and correspondence biases, lead people to misinterpret their partners’ actions and falsely assign blame after an unexpected event. These biases thus further influence people’s trust in the machine partners. The current study explores how the development of trust in a partner is influenced by attribution biases and people’s assignment of blame for a negative outcome.
Bias in the Trust in Automation Survey? An Examination of the Jian et al. (2000) Scale
Gutzwiller, R. S., Chiou, E. K., Craig, S. D., Lewis, C. M., Lematta, G. J., & Hsiung, C. P.
2019, November | In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 63, No. 1, pp. 217-221). Sage CA: Los Angeles, CA: SAGE Publications.
In this work we show, using a large sample size, that there is the potential for biased responses when participants rate systems using the Jian, Bisantz, & Drury 2000 "Trust in Automated Systems" survey. This bias appears to be positively skewing some of the responses. Future work will expand this assessment.
Presentations
Physical Human-Machine Collaboration: A Collaborative Lab Study.
Chiou, E. K., Zhang, W., Wang, Y., Hsiung, C. P., Lematta, G. J., Rahm, K.A., & Shaw, A.
2019, February | Poster session presented at the Women and Philanthropy grand raise event, Tempe, AZ.
In this interdisciplinary research, we, the ADAPT (Automation Design Advancing People and Technology) laboratory, collaborated with Robotics and Intelligent Systems laboratory aimed to understand the physical coordination between people and robots, and the adaptability in a joint object transport scenario in the context of unexpected event.
Gesture Communication in a Disaster: Toward Seamless Human-Drone Interaction in Emergency Search and Rescue.
Lematta, G. J., Hsiung, C. P., Yanikian, G., Chiou, E. K., & Niichel, M.
2018, February | Poster session presented at the Southwest Robotics Symposium, Tempe, AZ.
Due to advancements in autonomous technology, the role of robots in sociotechnical systems involves more cooperation through social interaction than before. In collaboration with the iMPACT and RISE Labs at ASU, we are applying the use of drones in global emergency search and rescue operations to help assess victim status, guide victims to safety, or connect victims with ground rescue operations.
Measures of Reliance in Physical Human Machine Coordination.
Wang, Y., Rahm, K., Hsiung, C. P., Highwood, G., Lematta, G., Shaw, A., Chen, Z., Zhang, W., Chiou, E. K.
2018, February | Poster session presented at the Southwest Robotics Symposium, Tempe, AZ.
Other Research Projects
NextGen-Wide Safety Monitoring System
September 2018 - May 2019 | CERTT (Cognitive Engineering and Research Institute) Laboratory
Contribute to five-year project that supports development of a NextGen-wide safety monitoring system by integrating data feeds from multiple air traffic management sources for statistical modeling, classification, and prediction. The end goal is real-time risk management of the National Airspace System. Supported by a NASA ARMD University Leadership Initiative grant.
Facial Expression in Robot Design: Trust Difference Between In-group and Out-group
Hsiung, C. P.
February 2018 - May 2018
Facial expression is one of the most significant cues for people to judge others' intentions and inner states of others, which include robots. By witnessing a large number of robots adopt facial expressions in different application fields, we know the fact that researchers and designers are getting their interest in facial expressions of robots. This study aims to build a cultural-wide design principle by taking cultural differences (in-group and out-group) into account.
Professional Development
Mentor
October 2020 - Present | UX East Meets West
Attendee & Presenter
October 2019 | HFES (Human Factors and Ergonomics Society) 63rd International Annual Conference
Competitor
February 2020 | Transaction Award 2019
October 2018 | HFES (Human Factors and Ergonomics Society) International Healthcare Mobile App Design Competition
Volunteer
June 2019 | UXPA (User Experience Professionals Association) International Conference 2019
Attendee
June 2020 | UXPA 2020 Mentorship Program
October 2018 | HFES (Human Factors and Ergonomics Society) 62nd International Annual Conference