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Publications (3 of 3) Show all publications
Li, R., van Almkerk, M., van Waveren, S., Carter, E. & Leite, I. (2019). Comparing Human-Robot Proxemics between Virtual Reality and the Real World. In: HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION. Paper presented at 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 11-14, 2019, Daegu, SOUTH KOREA (pp. 431-439). IEEE
Open this publication in new window or tab >>Comparing Human-Robot Proxemics between Virtual Reality and the Real World
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2019 (English)In: HRI '19: 2019 14TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, IEEE , 2019, p. 431-439Conference paper, Published paper (Refereed)
Abstract [en]

Virtual Reality (VR) can greatly benefit Human-Robot Interaction (HRI) as a tool to effectively iterate across robot designs. However, possible system limitations of VR could influence the results such that they do not fully reflect real-life encounters with robots. In order to better deploy VR in HRI, we need to establish a basic understanding of what the differences are between HRI studies in the real world and in VR. This paper investigates the differences between the real life and VR with a focus on proxemic preferences, in combination with exploring the effects of visual familiarity and spatial sound within the VR experience. Results suggested that people prefer closer interaction distances with a real, physical robot than with a virtual robot in VR. Additionally, the virtual robot was perceived as more discomforting than the real robot, which could result in the differences in proxemics. Overall, these results indicate that the perception of the robot has to be evaluated before the interaction can be studied. However, the results also suggested that VR settings with different visual familiarities are consistent with each other in how they affect HRI proxemics and virtual robot perceptions, indicating the freedom to study HRI in various scenarios in VR. The effect of spatial sound in VR drew a more complex picture and thus calls for more in-depth research to understand its influence on HRI in VR.

Place, publisher, year, edition, pages
IEEE, 2019
Series
ACM IEEE International Conference on Human-Robot Interaction, ISSN 2167-2121
Keywords
Virtual Reality, Human-Robot Interaction, Proxemics
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:kth:diva-252424 (URN)10.1109/HRI.2019.8673116 (DOI)000467295400062 ()2-s2.0-85063987676 (Scopus ID)978-1-5386-8555-6 (ISBN)
Conference
14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), MAR 11-14, 2019, Daegu, SOUTH KOREA
Note

QC 20190614

Available from: 2019-06-14 Created: 2019-06-14 Last updated: 2019-06-14Bibliographically approved
van Waveren, S., Björklund, L., Carter, E. & Leite, I. (2019). Knock on Wood: The Effects of Material Choice on the Perception of Social Robots. In: Lecture Notes in Artificial Intelligence series (LNAI): . Paper presented at The Proceedings of the 11th International Conference on Social Robotics (ICSR 2019).
Open this publication in new window or tab >>Knock on Wood: The Effects of Material Choice on the Perception of Social Robots
2019 (English)In: Lecture Notes in Artificial Intelligence series (LNAI), 2019Conference paper, Published paper (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-263923 (URN)
Conference
The Proceedings of the 11th International Conference on Social Robotics (ICSR 2019)
Funder
Swedish Research Council, 2017-05189
Note

QC 20191122

Available from: 2019-11-19 Created: 2019-11-19 Last updated: 2019-11-22Bibliographically approved
van Waveren, S., Carter, E. J. & Leite, I. (2019). Take one for the team: The effects of error severity in collaborative tasks with social robots. In: IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents: . Paper presented at 19th ACM International Conference on Intelligent Virtual Agents, IVA 2019; Paris; France; 2 July 2019 through 5 July 2019 (pp. 151-158). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Take one for the team: The effects of error severity in collaborative tasks with social robots
2019 (English)In: IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents, Association for Computing Machinery (ACM), 2019, p. 151-158Conference paper, Published paper (Refereed)
Abstract [en]

We explore the effects of robot failure severity (no failure vs. lowimpact vs. high-impact) on people's subjective ratings of the robot. We designed an escape room scenario in which one participant teams up with a remotely-controlled Pepper robot.We manipulated the robot's performance at the end of the game: The robot would either correctly follow the participant's instructions (control condition), the robot would fail but people could still complete the task of escaping the room (low-impact condition), or the robot's failure would cause the game to be lost (high-impact condition). Results showed no difference across conditions for people's ratings of the robot in terms of warmth, competence, and discomfort. However, people in the low-impact condition had significantly less faith in the robot's robustness in future escape room scenarios. Open-ended questions revealed interesting trends that are worth pursuing in the future: people may view task performance as a team effort and may blame their team or themselves more for the robot failure in case of a high-impact failure as compared to the low-impact failure.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019
Keywords
Failure, Human-robot interaction, Socially collaborative robots
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-262609 (URN)10.1145/3308532.3329475 (DOI)2-s2.0-85069747331 (Scopus ID)9781450366724 (ISBN)
Conference
19th ACM International Conference on Intelligent Virtual Agents, IVA 2019; Paris; France; 2 July 2019 through 5 July 2019
Note

QC 20191022

Available from: 2019-10-22 Created: 2019-10-22 Last updated: 2019-10-22Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3729-157x

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