Previous Experience Matters
An in-Person Investigation of Expectations in Human–Robot Interaction
Bibliographic Data
| ID | 8063096 |
|---|---|
| Authors | Julia Rosén (0000-0001-8642-336X, corresponding author), Jessica Lindblom (0000-0003-0946-7531), Maurice Lamb (0000-0003-2254-1396), Erik Billings (0000-0002-6568-9342), Erik Billing |
| Year | 2024 |
| Volume | 16 |
| Issue | 3 |
| Pages | 447-460 |
| Publication date | 2024-02-29 |
| 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/s12369-024-01107-3 |
| OpenAlex | W4392293114 |
| Language | EN |
| Citations received | 5 |
| References cited | 30 |
The human–robot interaction (HRI) field goes beyond the mere technical aspects of developing robots, often investigating how humans perceive robots. Human perceptions and behavior are determined, in part, by expectations. Given the impact of expectations on behavior, it is important to understand what expectations individuals bring into HRI settings and how those expectations may affect their interactions with the robot over time. For many people, social robots are not a common part of their experiences, thus any expectations they have of social robots are likely shaped by other sources. As a result, individual expectations coming into HRI settings may be highly variable. Although there has been some recent interest in expectations within the field, there is an overall lack of empirical investigation into its impacts on HRI, especially in-person robot interactions. To this end, a within-subject in-person study ( $$N=31$$ N = 31 ) was performed where participants were instructed to engage in open conversation with the social robot Pepper during two 2.5 min sessions. The robot was equipped with a custom dialogue system based on the GPT-3 large language model, allowing autonomous responses to verbal input. Participants’ affective changes towards the robot were assessed using three questionnaires, NARS, RAS, commonly used in HRI studies, and Closeness, based on the IOS scale. In addition to the three standard questionnaires, a custom question was administered to capture participants’ views on robot capabilities. All measures were collected three times, before the interaction with the robot, after the first interaction with the robot, and after the second interaction with the robot. Results revealed that participants to large degrees stayed with the expectations they had coming into the study, and in contrast to our hypothesis, none of the measured scales moved towards a common mean. Moreover, previous experience with robots was revealed to be a major factor of how participants experienced the robot in the study. These results could be interpreted as implying that expectations of robots are to large degrees decided before interactions with the robot, and that these expectations do not necessarily change as a result of the interaction. Results reveal a strong connection to how expectations are studied in social psychology and human-human interaction, underpinning its relevance for HRI research
Affect (linguistics · Closeness · Conversation · Field (mathematics · Human–computer interaction · Human–robot interaction · Mobile robot · Perception · Robot · Robot control · Robotics · Social robot · Action Observation and Synchronization · AI in Service Interactions · Computer Science · Mathematics · Psychology · Social Robot Interaction and HRI · Applied Psychology · Artificial Intelligence · Communication · Social Psychology
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| Citations per year | 5 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |