Findings From A Qualitative Field Study with An Autonomous Robot in Public
Exploration of User Reactions and Conflicts
Bibliographic Data
| ID | 8077848 |
|---|---|
| Authors | Franziska Babel (0000-0001-8249-7708, corresponding author), Johannes Kraus (0000-0001-7015-8477), Martin Baumann (0000-0001-9871-7568) |
| Year | 2022 |
| Volume | 14 |
| Issue | 7 |
| Pages | 1625-1655 |
| Publication date | 2022-07-05 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Social Robotics (JOURNAL) |
| Journal identifiers | ISSN: 1875-4791 • E-ISSN: 1875-4805 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s12369-022-00894-x |
| OpenAlex | W4284689863 |
| Language | EN |
| Citations received | 9 |
| References cited | 39 |
Soon service robots will be employed in public spaces with frequent human-robot interaction (HRI). To achieve a safe, trustworthy and acceptable HRI, service robots need to be equipped with interaction strategies suitable for the robot, user, and context. To gain realistic insights into the initial user reactions and challenges that arise when a mechanoid, autonomous service robot in public is applied, a field study with three data sources was conducted. In a first step, lay users’ intuitive reactions to a cleaning robot at a train station were observed ( $$N = 344$$ N = 344 ). Second, passersby’s preferences for HRI interaction strategies were explored in interviews ( $$n = 54$$ n = 54 ). As a third step, trust and acceptance of the robot were assessed with questionnaires ( $$n = 32$$ n = 32 ). Identified challenges were social robot navigation in crowded places also applicable to vulnerable passersby, inclusive communication modalities, information of staff and public about the service robot application and the need for conflict resolution strategies to avoid an inefficient robot (e.g., testing behavior, path is blocked). This study provides insights into naive HRI in public and illustrates challenges, provides recommendations supported by literature and highlights aspects for future research to inspire a research agenda in the field of public HRI
Cognitive science · Field (mathematics · Human–computer interaction · Mechatronics · Qualitative research · Robot · Robotics · Social science · Sociology · AI in Service Interactions · Computer Science · Engineering · Ethics and Social Impacts of AI · Mathematics · Psychology · Social Robot Interaction and HRI · Artificial Intelligence
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| Unique citing works | 9 |
|---|---|
| Citations per year | 4,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |