Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems

Social awareness and relationship management components can be seen as a form of emotional intelligence. In the present work, we propose task-related adaptation on the machine side that accounts for a person’s momentous cognitive and emotional state. We validate the practical significance of the pro...

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Published inElectronics (Basel) Vol. 12; no. 18; p. 3852
Main Authors Markov, Miroslav, Kalinin, Yasen, Markova, Valentina, Ganchev, Todor
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2023
Subjects
Adaptation
Analysis
Artificial intelligence
Brain research
Collaboration
Condition monitoring
Emotional factors
Emotional intelligence
Emotions
Human-computer interaction
Human-machine systems
Performance management
Self awareness
Sensors
Bulgaria
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Abstract Social awareness and relationship management components can be seen as a form of emotional intelligence. In the present work, we propose task-related adaptation on the machine side that accounts for a person’s momentous cognitive and emotional state. We validate the practical significance of the proposed approach in person-specific and person-independent setups. The analysis of results in the person-specific setup shows that the individual optimal performance curves for that person, according to the Yerkes–Dodson law, are displaced. Awareness of these curves allows for automated recognition of specific user profiles, real-time monitoring of the momentous condition, and activating a particular relationship management strategy. This is especially important when a deviation is detected caused by a change in the person’s state of mind under the influence of known or unknown factors.
AbstractList Social awareness and relationship management components can be seen as a form of emotional intelligence. In the present work, we propose task-related adaptation on the machine side that accounts for a person’s momentous cognitive and emotional state. We validate the practical significance of the proposed approach in person-specific and person-independent setups. The analysis of results in the person-specific setup shows that the individual optimal performance curves for that person, according to the Yerkes–Dodson law, are displaced. Awareness of these curves allows for automated recognition of specific user profiles, real-time monitoring of the momentous condition, and activating a particular relationship management strategy. This is especially important when a deviation is detected caused by a change in the person’s state of mind under the influence of known or unknown factors.
Audience Academic
Author Kalinin, Yasen
Ganchev, Todor
Markov, Miroslav
Markova, Valentina
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Snippet Social awareness and relationship management components can be seen as a form of emotional intelligence. In the present work, we propose task-related...
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SubjectTerms Adaptation
Analysis
Artificial intelligence
Brain research
Collaboration
Condition monitoring
Emotional factors
Emotional intelligence
Emotions
Human-computer interaction
Human-machine systems
Performance management
Self awareness
Sensors
Title Towards Implementation of Emotional Intelligence in Human–Machine Collaborative Systems
URI https://www.proquest.com/docview/2869329629
Volume 12
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