AI Medical Compendium Topic:
Emotions

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Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust.

Computational intelligence and neuroscience
In social media, trust and distrust among users are important factors in helping users make decisions, dissect information, and receive recommendations. However, the sparsity and imbalance of social relations bring great difficulties and challenges i...

Seeing Minds in Others - Can Agents with Robotic Appearance Have Human-Like Preferences?

PloS one
Ascribing mental states to non-human agents has been shown to increase their likeability and lead to better joint-task performance in human-robot interaction (HRI). However, it is currently unclear what physical features non-human agents need to poss...

Classifier Subset Selection for the Stacked Generalization Method Applied to Emotion Recognition in Speech.

Sensors (Basel, Switzerland)
In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an improvement of a bi-level mul...

Promoting Interactions Between Humans and Robots Using Robotic Emotional Behavior.

IEEE transactions on cybernetics
The objective of a socially assistive robot is to create a close and effective interaction with a human user for the purpose of giving assistance. In particular, the social interaction, guidance, and support that a socially assistive robot can provid...

Analyzing depression tendency of web posts using an event-driven depression tendency warning model.

Artificial intelligence in medicine
OBJECTIVE: The Internet has become a platform to express individual moods/feelings of daily life, where authors share their thoughts in web blogs, micro-blogs, forums, bulletin board systems or other media. In this work, we investigate text-mining te...

Multimodal emotional state recognition using sequence-dependent deep hierarchical features.

Neural networks : the official journal of the International Neural Network Society
Emotional state recognition has become an important topic for human-robot interaction in the past years. By determining emotion expressions, robots can identify important variables of human behavior and use these to communicate in a more human-like f...

A Bayesian Model of the Uncanny Valley Effect for Explaining the Effects of Therapeutic Robots in Autism Spectrum Disorder.

PloS one
One of the core features of autism spectrum disorder (ASD) is impaired reciprocal social interaction, especially in processing emotional information. Social robots are used to encourage children with ASD to take the initiative and to interact with th...

Learning to decode human emotions with Echo State Networks.

Neural networks : the official journal of the International Neural Network Society
The aim of this paper is to identify the common neural signatures based on which the positive and negative valence of human emotions across multiple subjects can be reliably discriminated. The brain activity is observed via Event Related Potentials (...

Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.

Journal of affective disorders
BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to guide decisions about deployment. Early post-deployment identification can direct early interventions t...

Group sessions with Paro in a nursing home: Structure, observations and interviews.

Australasian journal on ageing
AIM: We recently reported that a companion robot reduced residents' loneliness in a randomised controlled trial at an aged-care facility. This report aims to provide additional, previously unpublished data about how the sessions were run, residents' ...