AIMC Topic: Social Interaction

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Promises and trust in human-robot interaction.

Scientific reports
Understanding human trust in machine partners has become imperative due to the widespread use of intelligent machines in a variety of applications and contexts. The aim of this paper is to investigate whether human-beings trust a social robot-i.e. a ...

Are social robots ready yet to be used in care and therapy of autism spectrum disorder: A systematic review of randomized controlled trials.

Neuroscience and biobehavioral reviews
Autism is a neurodevelopmental disorder that affects the everyday life of people who have this lifelong condition. Robots hold great promise for uplifting therapy and care of the affected population. We searched Scopus, Medline, ScienceDirect, Web of...

A win-win situation: Does familiarity with a social robot modulate feedback monitoring and learning?

Cognitive, affective & behavioral neuroscience
Social species rely on the ability to modulate feedback-monitoring in social contexts to adjust one's actions and obtain desired outcomes. When being awarded positive outcomes during a gambling task, feedback-monitoring is attenuated when strangers a...

The effect of facial features on facial anthropomorphic trustworthiness in social robots.

Applied ergonomics
As the nature of human-robot relationships have become increasingly bound to shift from supervisor-machine to friend-companion, people have exhibited an increasing interest in making social judgments toward such anthropomorphic objects, such as trust...

Reducing negative emotions in children using social robots: systematic review.

Archives of disease in childhood
BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots ...

Examining the Utility of the DESCARTE Model for Case Study Research.

Research in gerontological nursing
The DESCARTE model aims to guide health care researchers on the design, conduct, and reporting of case studies. The current article critically appraises the utility of the model and provides an example of its application to a multiple case study that...

Multimodal Learning of Social Image Representation by Exploiting Social Relations.

IEEE transactions on cybernetics
Learning the representation for social images has recently made remarkable achievements for many tasks, such as cross-modal retrieval and multilabel classification. However, since social images contain both multimodal contents (e.g., visual images an...

Barriers and facilitators to the implementation of social robots for older adults and people with dementia: a scoping review protocol.

Systematic reviews
BACKGROUND: Psychosocial health issues such as depression and social isolation are an important cause of morbidity and premature mortality for older adults and people with dementia. Social robots are promising technological innovations to deliver eff...

Deep learning identifies partially overlapping subnetworks in the human social brain.

Communications biology
Complex social interplay is a defining property of the human species. In social neuroscience, many experiments have sought to first define and then locate 'perspective taking', 'empathy', and other psychological concepts to specific brain circuits. S...