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Social Behavior

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Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data.

Journal of Alzheimer's disease : JAD
BACKGROUND: Machine learning (ML) is a promising technique for patient-specific prediction of mild cognitive impairment (MCI) and dementia development. Neuropsychiatric symptoms (NPS) might improve the accuracy of ML models but have barely been used ...

Designing and Evaluating the Face of Lil'Flo: an Affordable Social Rehabilitation Robot.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
We introduce Lil'Flo, an affordable robot for pediatric upper extremity rehabilitation. We present the design and fabrication methodology of the head and face of the robot, the central design element for emotional expression. Through a guided intervi...

Social behaviour as an emergent property of embodied curiosity: a robotics perspective.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Social interaction is an extremely complex yet vital component in daily life. We present a bottom-up approach for the emergence of social behaviours from the interaction of the curiosity drive, i.e. the intrinsic motivation to learn as much as possib...

Feeling committed to a robot: why, what, when and how?

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
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 v...

Imagine how to behave: the influence of imagined contact on human-robot interaction.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Imagined contact (IC), that is, mentally simulating an interaction with an outgroup member, reduces negative attitudes towards outgroup members, increases contact intentions, and reduces intergroup anxiety in human-human intergroup context. Our exper...

Natural language generation for social robotics: opportunities and challenges.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
In the increasingly popular and diverse research area of social robotics, the primary goal is to develop robot agents that exhibit socially intelligent behaviour while interacting in a face-to-face context with human partners. An important aspect of ...

Drawing parallels in human-other interactions: a trans-disciplinary approach to developing human-robot interaction methodologies.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
This opinion paper discusses how human-robot interaction (HRI) methodologies can be robustly developed by drawing on insights from fields outside of HRI that explore human-other interactions. The paper presents a framework that draws parallels betwee...

Social robotics and the modulation of social perception and bias.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
The field of social robotics offers an unprecedented opportunity to probe the process of impression formation and the effects of identity-based stereotypes (e.g. about gender or race) on social judgements and interactions. We present the concept of f...

Memory and mental time travel in humans and social robots.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
From neuroscience, brain imaging and the psychology of memory, we are beginning to assemble an integrated theory of the brain subsystems and pathways that allow the compression, storage and reconstruction of memories for past events and their use in ...