Effects of Communication Channels on Explainable Food Recommendation Systems

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Effects of Communication Channels on Explainable Food Recommendation Systems

Conference Paper (2026)

Author(s)

Berkecan Koçyiğit (Özyeğin University)

Berk Buzcu (University of Applied Sciences and Arts Western Switzerland)

Davide Calvaresi (University of Applied Sciences and Arts Western Switzerland)

Zehra Kesemen (Özyeğin University)

Joris Hulstijn (Universiteit Utrecht)

Igor Tchappi (Université du Luxembourg)

Reyhan Aydoğan (TU Delft - Interactive Intelligence, Özyeğin University)

Research Group

Interactive Intelligence

DOI related publication

https://doi.org/10.1007/978-3-031-92143-8_5

XAI Human-robot interaction Effect of communication medium Food recommender systems

To reference this document use:

https://resolver.tudelft.nl/uuid:b1cb4b02-f5b8-4645-8a72-eb6d1ffe60fa

More Info

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Publication Year

2026

Language

English

Research Group

Interactive Intelligence

Bibliographical Note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en

Pages (from-to)

63-78

Publisher

Springer

ISBN (print)

978-3-031-92142-1

ISBN (electronic)

978-3-031-92143-8

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This chapter examines the effects of communication channels on user engagement, acceptance, and satisfaction within a personalized food recommendation system, which provides explanations. We tested two conditions: a tablet web interface and a humanoid robot along with a tablet. Our findings demonstrate that, despite occasional user frustrations with the robot’s slower response time and overall interaction style, the robot’s presence enhances the social perception of the interaction. Overall, the results suggest potential for socially interactive robots.

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File under embargo until 06-03-2026