What Could Go Wrong: Lessons Learned When Doing HRI User Studies with Off-the-Shelf Social Robots

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

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


Today, off-the-shelf social robots are used increasingly in the HRI community to research social interactions with different target user groups across a range of domains (e.g. healthcare, education, retail and other public spaces). We invite everyone doing HRI studies with end users, in the lab or in the wild, to collect past experiences of methods and practices that had issues or did not turn out as expected. This could include but is not limited to experimental setup, unplanned interactions, or simply the difficulty in transferring theory to the real world. In order to be able to generalize and compare differences across multiple HRI domains and create common solutions, we are focusing in this workshop on experiences with often used off-the-shelf social robots. We are interested in identifying the underlying causes of the unexpected HRI results, e.g. the contextual, task, and user related factors that influence interaction with a robot platform. We will furthermore discuss and document (ad hoc) solutions and/or lessons learned such that they can be shared with the HRI community. As well as sharing specific case studies documenting real world HRI experiences, we further hope to inspire the continued sharing of open and insightful reflections within the HRI community.

Original languageEnglish
Title of host publicationHRI 2018 - Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)978-1-4503-5615-2
Publication statusPublished - 2018
EventHRI 2018: 13th Annual ACM/IEEE International Conference on Human Robot Interaction - McCormick Place, Chicago, IL, United States
Duration: 5 Mar 20188 Mar 2018
Conference number: 13


ConferenceHRI 2018
CountryUnited States
CityChicago, IL
Internet address


  • lessons learned
  • social robots
  • user studies

Fingerprint Dive into the research topics of 'What Could Go Wrong: Lessons Learned When Doing HRI User Studies with Off-the-Shelf Social Robots'. Together they form a unique fingerprint.

Cite this