ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019
Feeling committed to a robot: why, what, when and how?
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- From social brains to social robots: applying neurocognitive insights to human-robot interaction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paper spells out the rationale for developing means of manipulating and of measuring people's sense of commitment to robot interaction partners. A sense of commitment may lead people to be patient when a robot is not working smoothly, to remain vigilant when a robot is working so smoothly that a task becomes boring and to increase their willingness to invest effort in teaching a robot. We identify a range of contexts in which a sense of commitment to robot interaction partners may be particularly important. This article is part of the theme issue 'From social brains to social robots: applying neurocognitive insights to human-robot interaction'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.