Cognitive Trust-Based Task Assignment in Human-Machine Teaming
Abstract
This research was to investigate how much human-machine trust varies dynamically. Human subjects were tested on their expectations of a machine behavior while connected to EEGs. By varying the behavior of the machine response from expected to uncooperative/unexpected, the human response to untrustworthy performance could be assessed. This work showed that human response clearly varied depending on the amount of trust built up over time. This work could be of significant value in predicting and improving human-machine interfaces. The research was conducted in conjunction with collaborators in Australia through a cost-matching international initiative supported by the Australian Defense Science and Technology Group. The project was deemed to be very successful by the sponsors and participants and the results were well received when presented at the final review attended by AFOSR, DSTG and AFRL/RH in November 2023.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 17, 2024
- Accession Number
- AD1231381
Entities
People
- Tzyy-Ping Jung
Organizations
- University of California, San Diego