Real Emotions Don't Stand Still: Toward Ecologically Viable Representation of Affective Interaction

Bucci, Paul; Cang, Xi Laura; Mah, Hailey; Rodgers, Laura; MacLean, Karon E.

doi:10.1109/acii.2019.8925534

Cited by 11 publications

(2 citation statements)

References 14 publications

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“…It also implies that displaying an emotion always carries the same meaning to the other participants [54]. Signalling further implies that all parts of the emotion are displayed, when often a human may only display part of the emotion they are feeling [55]. In our review we found signaling was overlooked unanimously by each publication.…”

Section: A Paradigm Features 1) Distinct Approaches For Interaction A...mentioning

confidence: 88%

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Savery¹,

Weinberg²

2020

Preprint

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As emotion plays a growing role in robotic research it is crucial to develop methods to analyze and compare among the wide range of approaches. To this end we present a survey of 1427 IEEE and ACM publications that include robotics and emotion. This includes broad categorizations of trends in emotion input analysis, robot emotional expression, studies of emotional interaction and models for internal processing. We then focus on 232 papers that present internal processing of emotion, such as using a humans emotion for better interaction or turning environmental stimuli into an emotional drive for robotic path planning. We conducted constant comparison analysis of the 232 papers and arrived at three broad categorization metrics -emotional intelligence, emotional model and implementation -each including two or three subcategories. The subcategories address the algorithm used, emotional mapping, history, the emotional model, emotional categories, the role of emotion, the purpose of emotion and the platform. Our results show a diverse field of study, largely divided by the role of emotion in the system, either for improved interaction, or improved robotic performance. We also present multiple future opportunities for research and describe intrinsic challenges common in all publications.

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Section: A Paradigm Features 1) Distinct Approaches For Interaction A...mentioning

confidence: 88%

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Savery¹,

Weinberg²

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Frequently, proposals made from affective computing represent emotions using simple labels (e.g., Happy or Sad). However, a representation of emotions that uses a continuous multidimensional space seems to be more appropriate for use in computational models since it allows storing more information about emotions, such as the intensity of emotions or the proximity between emotions [6]. This representation also provides a greater capacity to analyze the variations that occur in emotions and mood over time, thereby improving the simulation of human emotional be- havior.…”

Section: Introductionmentioning

confidence: 99%

A Multidimensional Culturally Adapted Representation of Emotions for Affective Computational Simulation and Recognition

Taverner

Vivancos

Botti

2023

IEEE Trans. Affective Comput.

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One of the main challenges in affective computing is the development of models to represent the information that is inherent to emotions. It is necessary to consider that the terms used by humans to name emotions depend on the culture and language used. This paper presents an experiment-based method to represent and adapt emotion terms to different cultural environments. We propose using circular boxplots to analyze the distribution of emotions in the Pleasure-Arousal space. From the results of this analysis, we define a new cross-cultural representation model of emotions in which each emotion term is assigned to an area in the Pleasure-Arousal space. An emotion is represented by a vector in which the direction indicates the type, and the module indicates the intensity of the emotion. We propose two methods based on fuzzy logic to represent and express emotions: the emotion representation process in which the term associated with the recognized emotion is defuzzified and projected as a vector in the Pleasure-Arousal space; and the emotion expression process in which a fuzzification of the vector is produced, generating a fuzzy emotion term that is adapted to the culture and language in which the emotion will be used.

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Robots and emotion: a survey of trends, classifications, and forms of interaction

Savery

Weinberg

2021

Advanced Robotics

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Real Emotions Don't Stand Still: Toward Ecologically Viable Representation of Affective Interaction

Cited by 11 publications

References 14 publications

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

A Multidimensional Culturally Adapted Representation of Emotions for Affective Computational Simulation and Recognition

Robots and emotion: a survey of trends, classifications, and forms of interaction

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