Influence of shared information on predictability in human-agent teams

Bachelor thesis (2021)

Authors

T. Nagy Electrical Engineering, Mathematics and Computer Science

Contributors

M.L. Tielman Interactive Intelligence - EEMCS (supervisor 1)
R.S. Verhagen Interactive Intelligence - EEMCS (supervisor 1)
C. Centeio Jorge Interactive Intelligence - EEMCS (supervisor 1)
J.H. Krijthe Pattern Recognition and Bioinformatics - EEMCS (coach)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Timea Nagy
Human-agent team Human-agent interaction, Predictability
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Published Date

02-07-2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Understanding trust in human-agent teams is of utmost importance if we want to ensure an efficient and effective collaboration. It is well known that predictability is a core component of trust, however it is still unclear what kind of information an agent should share in order to be perceived as predictable. Here we show that in a simple world setup with a noncomplicated task, there is no significant difference in the measured predictability between agents sharing information pertaining to only world knowledge, actions, world knowledge and actions or world knowledge, actions and explanations. However, previous experience with the framework used or having a technical background do greatly impact the perceived predictability. The small sample size and the data not being representative lead us to conclude that the study should be repeated with a larger and more diverse group of participants and a more complex world setup.