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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Canning, C. Donahue, T.J. Scheutz, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comput. Sci., Tufts Univ., Medford, MA, USA (Canning, C.; Donahue, T.J.; Scheutz, M.) |
| Abstract | It is well-known that a robot's appearance and its observable behavior can affect a human interactant's perceptions of the robot's capabilities and propensities in settings where humans and robots are co-located; for remote interactions the specific effects are less clear. Here, we use a remote interaction setting to investigate possible effects of simulated versus real first-person robot video feeds. The first experiment uses subject-level comparisons of the two video conditions in a multi-robot setting while the second and third experiments focus on a single robot, single video condition using a larger population (via Amazon Mechanical Turk) to study between-subjects effects. The latter experiments also probe the effects of robot appearance, video feed type, and stake humans have in the task. We observe a complex interplay between interaction, robot appearance, and video feed type as they affect perceived collaboration, utility, competence, and warmth of the robot. |
| Starting Page | 4354 |
| Ending Page | 4361 |
| File Size | 1021855 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781479969340 |
| DOI | 10.1109/IROS.2014.6943178 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feeds Robot vision systems Collaboration Webcams |
| Content Type | Text |
| Resource Type | Article |
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