Influence of shared information on predictability in human-agent teams

Bachelor Thesis (2021)
Author(s)

T. Nagy (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

M.L. Tielman – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

R.S. Verhagen – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

C. Ferreira Gomes Centeio Jorge – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

J.H. Krijthe – Coach (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2021
Language
English
Graduation Date
02-07-2021
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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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.

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