Effects of Communication Channels on Explainable Food Recommendation Systems
Publication date
2026
Authors
Koçyiğit, Berkecan
Buzcu, Berk
Calvaresi, Davide
Kesemen, Zehra
Hulstijn, Joris
Tchappi, Igor
Aydoğan, Reyhan
Editors
Töreyin, Behçet Ugur
Köse, Hatice
Aydin, Nizamettin
Melih Gül, Ömer
Nimer Kadry, Seifedine
Advisors
Supervisors
Document Type
Part of book
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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.
Keywords
Effect of communication medium, Food recommender systems, Human-robot interaction, XAI, Information Systems, Health Informatics, Computer Networks and Communications, Electrical and Electronic Engineering, SDG 3 - Good Health and Well-being
Citation
Koçyiğit, B, Buzcu, B, Calvaresi, D, Kesemen, Z, Hulstijn, J, Tchappi, I & Aydoğan, R 2026, Effects of Communication Channels on Explainable Food Recommendation Systems. in B U Töreyin, H Köse, N Aydin, Ö Melih Gül & S Nimer Kadry (eds), 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. EAI/Springer Innovations in Communication and Computing, Springer, pp. 63-78, 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024, Crete, Greece, 3/09/24. https://doi.org/10.1007/978-3-031-92143-8_5, conference