Accession Number:

AD1046152

Title:

Impact of Human like Cues on Human Trust in Machines: Brain Imaging and Modeling Studies for Human-Machine Interactions

Descriptive Note:

[Technical Report, Final Report]

Corporate Author:

Korea Advanced Institute of Science and Technology

Personal Author(s):

• Lee, Soo-Young

Report Date:

2018-01-05

Pagination or Media Count:

5

Abstract:

When a human and an intelligent machine work together as a team, human trust can influence performance. Yet, an electrophysiological signature of trust has not been isolated. In order to isolate such a signature, the research team recorded fMRI or event-related potentials while subjects were playing two cognitive games. At the first experiment, human subjects played a theory-of-mind bilateral game with two types of computerized agents with or without humanlike cues. At the second experiment, human subjects played a unilateral game in which the human subjects played the role of the Coach or supervisor while a computer agent played as the Player. Electrophysiological activities in brain regions belonging to the theory-of-mind network correlated with perceived capability, especially when a machine opponent had some human-likeness. In particular, the research shows that activity in the left parietal region correlating with a human players future behavior can be identified as the neural signature of capability-based trust. These results reveal that brain signals underlying trust as influenced by perceived capability and human-likeness might be useful for performance optimization of human-machine systems.

Descriptors:

Subject Categories:

• Human Factors Engineering and Man Machine Systems

Distribution Statement:

[A, Approved For Public Release]