Abstract
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 language | English |
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Title of host publication | HRI 2018 - Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery (ACM) |
Pages | 395-396 |
Number of pages | 2 |
ISBN (Electronic) | 978-1-4503-5615-2 |
DOIs | |
Publication status | Published - 2018 |
Event | HRI 2018: 13th Annual ACM/IEEE International Conference on Human Robot Interaction - McCormick Place, Chicago, IL, United States Duration: 5 Mar 2018 → 8 Mar 2018 Conference number: 13 http://humanrobotinteraction.org/2018/ |
Conference
Conference | HRI 2018 |
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Country/Territory | United States |
City | Chicago, IL |
Period | 5/03/18 → 8/03/18 |
Internet address |
Keywords
- lessons learned
- social robots
- user studies