A Longitudinal Study of Trust Calibration Methods with Individual Differences
Abstract
Trust has been considered a critical factor affecting the performance, experience and overall outcome of a collaborative team, whether the teammate is a human or a machine. Existing research has revealed that trust can be affected by many factors arising from the machine side, including the performance of a machine or system, the way information is presented and the context of interaction. However, the human aspects of the interaction, especially individual differences, have a strong impact on the inter-personal trust as well, although so far very little has been done to depict the full trust picture of human-machine interaction, i.e. to link individual differences to machine performance, which is partially due to the deficiency of objective means to longitudinally track trust change in human-machine interaction. As a consequence, this research proposal aims at examining human-machine trust, with a special focus on objective trust calibration and further to understand the implication of individual differences, e.g. personality traits or cultural differences for human’s trust in a machine and its development afterwards. Longitudinal investigation methods will be adopted as the interplay between personality, familiarity and machine performance in the long run is the key to achieve accurate depiction of a human’s trust profile and capture the interaction pattern.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 28, 2018
- Source ID
- FA23861814091
Entities
People
- Fang Chen
Organizations
- Air Force Office of Scientific Research
- Commonwealth Scientific and Industrial Research Organisation
- United States Air Force