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doi: 10.31234/osf.io/unw49 , 10.3758/s13423-019-01689-4 , 10.5281/zenodo.3583153 , 10.5281/zenodo.3583152
pmid: 31848909
pmc: PMC7093354
handle: 10281/462082
doi: 10.31234/osf.io/unw49 , 10.3758/s13423-019-01689-4 , 10.5281/zenodo.3583153 , 10.5281/zenodo.3583152
pmid: 31848909
pmc: PMC7093354
handle: 10281/462082
This paper reviews methods to investigate joint attention, and highlights the benefits of new methodological approaches that make use of most recent technological developments such as humanoid robots for studying social cognition. After reviewing classical approaches addressing joint attention mechanisms with the use of controlled screen-based stimuli, we describe recent accounts that propose the need for more natural and interactive experimental protocols. Although the recent approaches allow for more ecological validity, they often face the challenges of experimental control in more natural social interaction protocols. In this context, we propose that the use of humanoid robots in interactive protocols is a particularly promising avenue to target the mechanisms of joint attention. Using humanoid robots to interact with humans in naturalistic experimental setups has the advantage of both excellent experimental control and ecological validity. In clinical applications, it offers new techniques for diagnosis and therapy, especially for children with Autism Spectrum Disorder. The review concludes with indications for future research, in the domain of healthcare applications and human-robot interaction in general.
Autism; Healthy and clinical populations; Human–robot interaction; Joint attention; Review;, Theoretical Review, Social Perception, Autism Spectrum Disorder, Joint Attention; Human-Robot Interaction; Healthy and Clinical Populations; Autism; Review, Humans, Attention, Interpersonal Relations, Robotics, Social and Behavioral Sciences
Autism; Healthy and clinical populations; Human–robot interaction; Joint attention; Review;, Theoretical Review, Social Perception, Autism Spectrum Disorder, Joint Attention; Human-Robot Interaction; Healthy and Clinical Populations; Autism; Review, Humans, Attention, Interpersonal Relations, Robotics, Social and Behavioral Sciences
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 70 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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