About this Research Topic
Within the research community as well as in the industry, circumstances, as the ones mentioned before, are considered pitfalls that hinder perfect human-robot interaction. Scholars and practitioners alike, envision clean scenarios with a foreseeable storyline and outcome. They strive to control all variables and avoid glitches at any cost. But what might work in a lab setting, is unlikely in the field.
So, there is a gap between expectation and reality that prima facie seems to be a major disadvantage. Yet, we have found that there is a lot of potential in non-linear human-robot interaction. Circumstances that are less foreseeable but emerge from the very nature of a spontaneous interaction, can serve as valuable resources to improve social encounters between humans and robots.
We invite the odd robots to the stage... the crazy, the funny, the weird, the awkward, the shy, and ultimately, the robots able to deal with imperfect human-robot interactions. Please step forward and enter the show - we would like to learn from you.
The topics of interest include, but are not limited to:
- Unexpected / faulty / flawed robot behaviors
- Socially awkward robots
- Errors in HRI and their impact on user's trust
- User experience with faulty robots
- Automated detection of errors / unforeseen situations
- Error recovery and explanation in HRI
- Learning from imperfect or incomplete data
- Addressing robot errors through iterative design
- Lessons for error recovery from longitudinal and in-the-wild HRI
- Abandonment or attrition in use of robots caused by errors
Keywords: human-robot interaction, error detection, failure detection, error recovery, failure recovery, faulty robot behaviours, imperfect robot behaviours, socially awkward robots, trust in human-robot interaction, in-the-wild human-robot interaction
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