Factors of Trust for Successfully Adopting Social Robots on the Campus

Social robots are making their way into different everyday use cases. Their adoption depends on getting many factors right. In this paper, we investigate the obstacles we might face when introducing social robots on the campus. In particular, we focus on trust, which is a crucial requirement between robots and humans. We collected data using questionnaires and interviews, and our analysis yields a set of factors of users’ trust that may affect the future adoption of social robots, a set of use-cases for social robots on campus and their associated user expectations. Adapting an established model of trust, we highlight operational and operator transparency as keys for gaining users’ trust in on-campus social robots. Our work contributes to the literature by providing practical considerations for setting up social robots for success on campuses.

Authors

Institutions

Publication Details

Published
2025-11-15
DOI
https://doi.org/10.1145/3764687.3764717
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors of Trust for Successfully Adopting Social Robots on the Campus

Ville Paananen, Emma Kirjavainen, Dániel Szabó, Aku Visuri et al.
Social Robot Interaction and HRI
article

Factors of Trust for Successfully Adopting Social Robots on the Campus

Ville Paananen, Emma Kirjavainen, Dániel Szabó, Aku Visuri, Simo Johannes Hosio, Koji Yatani, Kavindu Ravishan, Achira Handelage
article en

Abstract

Social robots are making their way into different everyday use cases. Their adoption depends on getting many factors right. In this paper, we investigate the obstacles we might face when introducing social robots on the campus. In particular, we focus on trust, which is a crucial requirement between robots and humans. We collected data using questionnaires and interviews, and our analysis yields a set of factors of users’ trust that may affect the future adoption of social robots, a set of use-cases for social robots on campus and their associated user expectations. Adapting an established model of trust, we highlight operational and operator transparency as keys for gaining users’ trust in on-campus social robots. Our work contributes to the literature by providing practical considerations for setting up social robots for success on campuses.

Intelligent Systems Research (United States) (US), University of Lapland (FI), University of Oulu (FI)
Openalex Percentile: Top 61%
Social Robot Interaction and HRI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.