Connor T Esterwood
Biographic Data
| ID | 9419828 |
|---|---|
| NAME | Connor T Esterwood |
| GIVEN NAMES | Connor T |
| FAMILY NAME | Esterwood |
| SIGNATURE | ESTERWOOD C T |
| AFFILIATIONS | University of Michigan |
| ORCID | 0000-0002-2685-6435 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Three Strikes and you are out
Robots like human co-workers can make mistakes violating a human’s trust in them. When mistakes happen, humans can see robots as less trustworthy which ultimately decreases their trust in them. Trust repair strategies can be employed to mitigate the negative impacts of these trust violations. Yet, it is not clear whether such strategies can fully repair trust nor how effective they are after repeated trust violations. To address these shortcoming…
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…
No prominent works on this page.
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…
Three Strikes and you are out
Robots like human co-workers can make mistakes violating a human’s trust in them. When mistakes happen, humans can see robots as less trustworthy which ultimately decreases their trust in them. Trust repair strategies can be employed to mitigate the negative impacts of these trust violations. Yet, it is not clear whether such strategies can fully repair trust nor how effective they are after repeated trust violations. To address these shortcoming…
Artificial Intelligence (2 works) · Computer Science (2 works) · Engineering (2 works) · Advanced driver assistance systems (1 work) · Automotive industry (1 work) · Autonomous Vehicle Technology and Safety (1 work) · Cognitive Functions and Memory (1 work) · Computer security (1 work) · Computer vision (1 work) · Data mining (1 work)