X Jessie Yang
Biographic Data
| ID | 5675457 |
|---|---|
| NAME | X Jessie Yang |
| GIVEN NAMES | X Jessie |
| FAMILY NAME | Yang |
| SIGNATURE | YANG X J |
| AFFILIATIONS | University of Michigan |
| ORCID | 0009-0000-8251-9268 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Designing Healthcare Robots for Community-Dwelling U.S. Older Adults
Multilevel, Multireferent Trust, Communication, and Performance in Human–Agent Teams
Automation is pervasive, and humans often collaborate with it to perform various tasks. With technological advancements, it has become increasingly important to understand the characteristics of complex teams composed of multiple humans and multiple agents. In this study, we examined various team-level metrics in multioperator, multiagent teams, including trust, communication, and task completion time (TCT). We conducted a human subjects experime…
How novice teacher identity affects student psychological resilience
The mediating effects of emotions on trust through risk perception and system performance in automated driving
How is the conceptual level of students associated with learning outcomes in math? Testing the mediating role of math anxiety and the moderating role of motivating style
Student conceptual level scale
The conceptual level is an index of personality development. In the field of teaching, the conceptual level is seen as a dynamic learning style. It has important implications for student learning and individual growth, as well as guidance for teaching. However, the lack of a measurement tool with a clear internal structure for the conceptual level of students has slowed the development of the theory and made it difficult to implement the teaching…
Real-Time Estimation of Drivers’ Trust in Automated Driving Systems
Trust miscalibration issues, represented by undertrust and overtrust, hinder the interaction between drivers and self-driving vehicles. A modern challenge for automotive engineers is to avoid these trust miscalibration issues through the development of techniques for measuring drivers’ trust in the automated driving system during real-time applications execution. One possible approach for measuring trust is through modeling its dynamics and subse…
Modeling and Predicting Trust Dynamics in Human–Robot Teaming
Trust in automation, or more recently trust in autonomy, has received extensive research attention in the past three decades. The majority of prior literature adopted a “snapshot” view of trust and typically evaluated trust through questionnaires administered at the end of an experiment. This “snapshot” view, however, does not acknowledge that trust is a dynamic variable that can strengthen or decay over time. To fill the research gap, the presen…
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Real-Time Estimation of Drivers’ Trust in Automated Driving Systems
Trust miscalibration issues, represented by undertrust and overtrust, hinder the interaction between drivers and self-driving vehicles. A modern challenge for automotive engineers is to avoid these trust miscalibration issues through the development of techniques for measuring drivers’ trust in the automated driving system during real-time applications execution. One possible approach for measuring trust is through modeling its dynamics and subse…
Modeling and Predicting Trust Dynamics in Human–Robot Teaming
Trust in automation, or more recently trust in autonomy, has received extensive research attention in the past three decades. The majority of prior literature adopted a “snapshot” view of trust and typically evaluated trust through questionnaires administered at the end of an experiment. This “snapshot” view, however, does not acknowledge that trust is a dynamic variable that can strengthen or decay over time. To fill the research gap, the presen…
Student conceptual level scale
The conceptual level is an index of personality development. In the field of teaching, the conceptual level is seen as a dynamic learning style. It has important implications for student learning and individual growth, as well as guidance for teaching. However, the lack of a measurement tool with a clear internal structure for the conceptual level of students has slowed the development of the theory and made it difficult to implement the teaching…
How is the conceptual level of students associated with learning outcomes in math? Testing the mediating role of math anxiety and the moderating role of motivating style
The mediating effects of emotions on trust through risk perception and system performance in automated driving
Designing Healthcare Robots for Community-Dwelling U.S. Older Adults
Multilevel, Multireferent Trust, Communication, and Performance in Human–Agent Teams
Automation is pervasive, and humans often collaborate with it to perform various tasks. With technological advancements, it has become increasingly important to understand the characteristics of complex teams composed of multiple humans and multiple agents. In this study, we examined various team-level metrics in multioperator, multiagent teams, including trust, communication, and task completion time (TCT). We conducted a human subjects experime…
How novice teacher identity affects student psychological resilience
Human-Automation Interaction and Safety (4 works) · Computer Science (3 works) · Psychology (3 works) · Anxiety (2 works) · Artificial Intelligence (2 works) · Conceptual change (2 works) · Conceptual framework (2 works) · Engineering (2 works) · Grit, Self-Efficacy, and Motivation (2 works) · Healthcare Technology and Patient Monitoring (2 works)