Effects of Communication Channels on Explainable Food Recommendation Systems

Berkecan Koçyiğit; Berk Buzcu; Davide Calvaresi; Zehra Kesemen; Joris Hulstijn; Igor Tchappi; Reyhan Aydoğan

doi:10.1007/978-3-031-92143-8_5

Effects of Communication Channels on Explainable Food Recommendation Systems

Berkecan Koçyiğit^*
, Berk Buzcu
, Davide Calvaresi
, Zehra Kesemen
, Joris Hulstijn
, Igor Tchappi
, Reyhan Aydoğan

^*Corresponding author for this work

Sub Software Production

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024
Editors	Behçet Ugur Töreyin, Hatice Köse, Nizamettin Aydin, Ömer Melih Gül, Seifedine Nimer Kadry
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	63-78
Number of pages	16
ISBN (Print)	9783031921421
DOIs	https://doi.org/10.1007/978-3-031-92143-8_5
Publication status	Published - 2026
Event	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024 - Crete, Greece Duration: 3 Sept 2024 → 5 Sept 2024

Publication series

Name	EAI/Springer Innovations in Communication and Computing
ISSN (Print)	2522-8595
ISSN (Electronic)	2522-8609

Conference

Conference	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024
Country/Territory	Greece
City	Crete
Period	3/09/24 → 5/09/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.1007/978-3-031-92143-8_5

978-3-031-92143-8_5Final published version, 842 KBLicence: Taverne

Cite this

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 (pp. 63-78). (EAI/Springer Innovations in Communication and Computing). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-92143-8_5

Koçyiğit, Berkecan ; Buzcu, Berk ; Calvaresi, Davide et al. / Effects of Communication Channels on Explainable Food Recommendation Systems. 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. editor / Behçet Ugur Töreyin ; Hatice Köse ; Nizamettin Aydin ; Ömer Melih Gül ; Seifedine Nimer Kadry. Springer Science and Business Media Deutschland GmbH, 2026. pp. 63-78 (EAI/Springer Innovations in Communication and Computing).

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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{\textquoteright}s slower response time and overall interaction style, the robot{\textquoteright}s presence enhances the social perception of the interaction. Overall, the results suggest potential for socially interactive robots.",

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author = "Berkecan Ko{\c c}yiğit and Berk Buzcu and Davide Calvaresi and Zehra Kesemen and Joris Hulstijn and Igor Tchappi and Reyhan Aydoğan",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024 ; Conference date: 03-09-2024 Through 05-09-2024",

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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 BU 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 Science and Business Media Deutschland GmbH, 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

Effects of Communication Channels on Explainable Food Recommendation Systems. / Koçyiğit, Berkecan; Buzcu, Berk; Calvaresi, Davide et al.
8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. ed. / Behçet Ugur Töreyin; Hatice Köse; Nizamettin Aydin; Ömer Melih Gül; Seifedine Nimer Kadry. Springer Science and Business Media Deutschland GmbH, 2026. p. 63-78 (EAI/Springer Innovations in Communication and Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Effects of Communication Channels on Explainable Food Recommendation Systems

AU - Koçyiğit, Berkecan

AU - Buzcu, Berk

AU - Calvaresi, Davide

AU - Kesemen, Zehra

AU - Hulstijn, Joris

AU - Tchappi, Igor

AU - Aydoğan, Reyhan

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - 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.

AB - 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.

KW - Effect of communication medium

KW - Food recommender systems

KW - Human-robot interaction

KW - XAI

UR - https://www.scopus.com/pages/publications/105024994053

U2 - 10.1007/978-3-031-92143-8_5

DO - 10.1007/978-3-031-92143-8_5

M3 - Conference contribution

AN - SCOPUS:105024994053

SN - 9783031921421

T3 - EAI/Springer Innovations in Communication and Computing

SP - 63

EP - 78

BT - 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024

A2 - Töreyin, Behçet Ugur

A2 - Köse, Hatice

A2 - Aydin, Nizamettin

A2 - Melih Gül, Ömer

A2 - Nimer Kadry, Seifedine

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024

Y2 - 3 September 2024 through 5 September 2024

ER -

Koçyiğit B, Buzcu B, Calvaresi D, Kesemen Z, Hulstijn J, Tchappi I et al. Effects of Communication Channels on Explainable Food Recommendation Systems. In Töreyin BU, Köse H, Aydin N, Melih Gül Ö, Nimer Kadry S, editors, 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. Springer Science and Business Media Deutschland GmbH. 2026. p. 63-78. (EAI/Springer Innovations in Communication and Computing). doi: 10.1007/978-3-031-92143-8_5

Effects of Communication Channels on Explainable Food Recommendation Systems

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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