Vol-3634
urn:nbn:de:0074-3634-0

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

MULTITTRUST 2023

MULTITTRUST 2023
Multidisciplinary Perspectives on Human-AI Team Trust 2023

Proceedings of the 2nd International Workshop on Multidisciplinary Perspectives on Human-AI Team Trust

co-located with 11th International Conference on Human-Agent Interaction (HAI 2023)

Gothenburg, Sweden, December 4-7, 2023.

Edited by

Nicolo' Brandizzi ⁽¹⁾
Carolina Centeio Jorge ⁽²⁾
Roberto Cipollone ⁽¹⁾
Francesco Frattolillo ⁽¹⁾
Luca Iocchi ⁽¹⁾
Anna-Sophie Ulfert-Blank ⁽³⁾

(1) Sapienza University of Rome, Department of Computer, Automation and Management Engineering, Rome, Italy
(2) Delft University of Technology, Faculty Electrical Engineering, Mathematics and Computer Science , Delft, Netherlands
(3) Eindhoven University of Technology, Industrial Engineering and Innovation Sciences, Eindhoven, Netherlands

Table of Contents

Preface
Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, all 7 as short papers.

Paper Session 1

Error: Evaluating Trust Wearing Off in Robots 1-4
Alessandra Rossi, Raffaella Esposito, Davide Marocco, Silvia Rossi
The Effect of Emoji Type on Trust in AI Teammates 5-9
Morgan Bailey, Benjamin Gancz, Frank Pollick

Paper Session 2

Organizing Transdisciplinary Research and Innovation: the Case of the Socially-Aware Artificial Intelligence Focus Area 10-18
Loïs Vanhée
Trust in AI: Transparency, and Uncertainty Reduction. Development of a New Theoretical Framework 19-26
Letizia Aquilino, Piercosma Bisconti, Antonella Marchetti
Exploring Trust and Risk During Online Bartering Interactions 27-33
Kalyani Lakkanige, Lamar Cooley-Russ, Alan Richard Wagner, Sarah Rajtmajer

Paper Session 3

Explainability and Self-Disclosure for Robot Ethical Introspection 34-40
Valeria Seidita, Antonio Chella
Towards Computational Models for Reinforcement Learning in Human-AI Teams 41-51
Francesco Frattolillo, Nicolo' Brandizzi, Roberto Cipollone, Luca Iocchi

2024-01-25: submitted by Nicolo' Brandizzi, metadata incl. bibliographic data published under Creative Commons CC0
2024-02-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|