AIMC Topic: Emotions

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Robot versus human barista: Comparison of volatile compounds and consumers' acceptance, sensory profile, and emotional response of brewed coffee.

Food research international (Ottawa, Ont.)
The increasing trend of integrating robots into the food industry has sparked debates regarding their potential influence on consumer attitudes toward food technology. This study investigated volatile compound profiles via gas chromatography-mass spe...

Design Path for a Social Robot for Emotional Communication for Children with Autism Spectrum Disorder (ASD).

Sensors (Basel, Switzerland)
Children with autism spectrum disorder (ASD) have deficits in social interaction and expressing and understanding emotions. Based on this, robots for children with ASD have been proposed. However, few studies have been conducted about how to design a...

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning.

Sensors (Basel, Switzerland)
It is becoming increasingly attractive to detect human emotions using electroencephalography (EEG) brain signals. EEG is a reliable and cost-effective technology used to measure brain activities. This paper proposes an original framework for usabilit...

Reflections on Putting AI Ethics into Practice: How Three AI Ethics Approaches Conceptualize Theory and Practice.

Science and engineering ethics
Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too principles-oriented and entail a theory-practice gap. Several applied ethical approaches try to prevent such a gap by conceptually translating ethical theo...

Lay representations of artificial intelligence and autonomous military machines.

Public understanding of science (Bristol, England)
This study is about how lay persons perceive and represent artificial intelligence in general as well as its use in weaponised autonomous ground vehicles in the military context. We analysed the discourse of six focus groups in Estonia, using an auto...

Robust Human Face Emotion Classification Using Triplet-Loss-Based Deep CNN Features and SVM.

Sensors (Basel, Switzerland)
Human facial emotion detection is one of the challenging tasks in computer vision. Owing to high inter-class variance, it is hard for machine learning models to predict facial emotions accurately. Moreover, a person with several facial emotions incre...

Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism.

Artificial intelligence in medicine
Current models on Explainable Artificial Intelligence (XAI) have shown a lack of reliability when evaluating feature-relevance for deep neural biomarker classifiers. The inclusion of reliable saliency-maps for obtaining trustworthy and interpretable ...

Ethical considerations in child-robot interactions.

Neuroscience and biobehavioral reviews
Social robots hold promise in augmenting education, rehabilitative care, and leisure activities for children. Despite findings suggesting various benefits of social robot use in schools, clinics, and homes, stakeholders have voiced concerns about the...

Perspectives of Youths on the Ethical Use of Artificial Intelligence in Health Care Research and Clinical Care.

JAMA network open
IMPORTANCE: Understanding the views and values of patients is of substantial importance to developing the ethical parameters of artificial intelligence (AI) use in medicine. Thus far, there is limited study on the views of children and youths. Their ...