Comply with Me
Using Design Manipulations to Affect Human–Robot Interaction in a Covid-19 Officer Robot Use Case
Bibliographic Data
| ID | 8117192 |
|---|---|
| Authors | Ela Liberman-Pincu (0000-0002-9753-7714, Ben-Gurion University of the Negev, corresponding author), Amit David (Ben-Gurion University of the Negev), Vardit Sarne‐Fleischmann (0000-0002-9516-3085, Ben-Gurion University of the Negev), Vardit Sarne-Fleischmann (Ben-Gurion University of the Negev), Yael Edan (0000-0002-7430-8468, Ben-Gurion University of the Negev), Tal Oron-Gilad (0000-0002-9523-0161, Ben-Gurion University of the Negev) |
| Year | 2021 |
| Volume | 5 |
| Issue | 11 |
| Pages | 71-71 |
| Publication date | 2021-11-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Multimodal Technologies and Interaction (JOURNAL) |
| Journal identifiers | ISSN: 2414-4088 • E-ISSN: 2414-4088 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/mti5110071 |
| OpenAlex | W3213640094 |
| Language | EN |
| Citations received | 5 |
| References cited | 29 |
This study examines the effect of a COVID-19 Officer Robot (COR) on passersby compliance and the effects of its minor design manipulations on human–robot interaction. A robotic application was developed to ensure participants entering a public building comply with COVID restrictions of a green pass and wearing a face mask. The participants’ attitudes toward the robot and their perception of its authoritativeness were explored with video and questionnaires data. Thematic analysis was used to define unique behaviors related to human–COR interaction. Direct and extended interactions with minor design manipulation of the COR were evaluated in a public scenario setting. The results demonstrate that even minor design manipulations may influence users’ attitudes toward officer robots. The outcomes of this research can support manufacturers in rapidly adjusting their robots to new domains and tasks and guide future designs of authoritative socially assistive robots (SARs
Affect (linguistics · Coronavirus disease 2019 (COVID-19 · Human–computer interaction · Human–robot interaction · Officer · Perception · Qualitative research · Robot · Sociology · Thematic analysis · AI in Service Interactions · Computer Science · Ethics and Social Impacts of AI · Medicine · Psychology · Social Robot Interaction and HRI · Applied Psychology · Artificial Intelligence · Communication
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| Citations per year | 2.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |