What Could Go Wrong?! 2nd Workshop: Lessons Learned When Doing HRI User Studies with Off-the-Shelf Social Robots

Shirley A. Elprama, An Jacobs, Mike Ligthart, Koen Hindriks, Katie Winkle

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Nowadays, off-the-shelf social robots are used more frequently by the HRI community to research social interactions with different types of users across a range of domains such as education, retail, health care, public places and other domains. Everyone doing HRI research with end-users is invited to submit a case study to our workshop. We are particularly interested in case studies where things did not go as planned. Case studies describing research in the lab or in the wild are both welcome. Examples of unplanned experiences could include, but are not limited to, unexpected responses from the user, issues with the experimental setup or simply having challenges with transferring theory to the real world. In this workshop, we focus on off-the-shelf robots. In order to generalize and compare differences across multiple HRI domains and create common solutions, we will provide a template for your case study. We are interested in learning how such unexpected HRI results can be reported. In the workshop, we will discuss and study how failures are reported and be inspired to create a list of good ways to report failures, which can hopefully be inspiring for the HRI community.

Original languageEnglish
Title of host publication2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages677-678
Number of pages2
ISBN (Electronic)978-1-5386-8555-6
ISBN (Print)978-1-5386-8556-3
DOIs
Publication statusPublished - 2019
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: 11 Mar 201914 Mar 2019

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
Country/TerritoryKorea, Republic of
CityDaegu
Period11/03/1914/03/19

Keywords

  • fails
  • failures
  • robots
  • social robots

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