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Emotions

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Physiological data for affective computing in HRI with anthropomorphic service robots: the AFFECT-HRI data set.

Scientific data
In human-human and human-robot interaction, the counterpart influences the human's affective state. Contrary to humans, robots inherently cannot respond empathically, meaning non-beneficial affective reactions cannot be mitigated. Thus, to create a r...

Does Pollyanna hypothesis hold true in death narratives? A sentiment analysis approach.

Acta psychologica
Pollyanna hypothesis claims that human beings have a universal tendency to use positive words more frequently and broadly than negative words. The present study aims to test Pollyanna hypothesis in medical death narratives at both lexical and text le...

MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents.

Neural networks : the official journal of the International Neural Network Society
Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically identify pairs of emotions and their causes from documents. The difficulty of ECPE lies in distinguishing valid emotion-cause pairs from many irrelevant ones. Most ...

A Comparison Study of Deep Learning Methodologies for Music Emotion Recognition.

Sensors (Basel, Switzerland)
Classical machine learning techniques have dominated Music Emotion Recognition. However, improvements have slowed down due to the complex and time-consuming task of handcrafting new emotionally relevant audio features. Deep learning methods have rece...

Powerful tool or too powerful? Early public discourse about ChatGPT across 4 million tweets.

PloS one
BACKGROUND: This paper investigates initial exuberance and emotions surrounding ChatGPT's first three months of launch (1 December 2022-1 March 2023). The impetus for studying active discussions surrounding its implications, fears, and opinions is mo...

Propensity to trust shapes perceptions of comforting touch between trustworthy human and robot partners.

Scientific reports
Touching a friend to comfort or be comforted is a common prosocial behaviour, firmly based in mutual trust. Emphasising the interactive nature of trust and touch, we suggest that vulnerability, reciprocity and individual differences shape trust and p...

Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions.

Sensors (Basel, Switzerland)
Recent advances in artificial intelligence combined with behavioral sciences have led to the development of cutting-edge tools for recognizing human emotions based on text, video, audio, and physiological data. However, these data sources are expensi...

Assessing the Impact of Urban Environments on Mental Health and Perception Using Deep Learning: A Review and Text Mining Analysis.

Journal of urban health : bulletin of the New York Academy of Medicine
Understanding how outdoor environments affect mental health outcomes is vital in today's fast-paced and urbanized society. Recently, advancements in data-gathering technologies and deep learning have facilitated the study of the relationship between ...

Who is behind the robot? The role of public social workers in implementing robotic eldercare program in South Korea.

Social work in health care
A companion robot named Hyodol is a digital technology implemented for eldercare in South Korea. Drawing insights from semi-structured interviews with public social workers actively involved in the Hyodol care program, this study explores how social ...

Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis.

Artificial intelligence in medicine
The full acceptance of Deep Learning (DL) models in the clinical field is rather low with respect to the quantity of high-performing solutions reported in the literature. End users are particularly reluctant to rely on the opaque predictions of DL mo...