Informatique affective

Résumé

L’informatique affective ou informatique émotionnelle (en anglais, affective computing) est l'étude et le développement de systèmes et d'appareils ayant les capacités de reconnaître, d’exprimer, de synthétiser et modéliser les émotions humaines. C'est un domaine de recherche interdisciplinaire couvrant les domaines de l'informatique, de la psychologie et des sciences cognitives qui consiste à étudier l’interaction entre technologie et sentiments. Historique Les bases du domaine semblent avoir été posées par les premiers questionnements sur les émotions au avec l'essor de théories comme la théorie de James–Lange. La branche moderne de l'informatique trouve son origine dans les travaux de Rosalind Picard et son article fondateur de 1995 sur l'Informatique affective. Si l’émotion est fondamentale pour l’expérience humaine, elle doit l'être également dans la conception des technologies de demain, selon l' affective Computing Group du MIT Media Lab qui travaille à la fois à

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https://fr.wikipedia.org/wiki/Informatique_affective

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Background: Emotional processing has been studied in psychotherapy as a state-dependent, sequential process of change. So far, no studies have applied this conceptualisation of emotional processing to the assessments of emotion in daily life. This is particularly important in the light of the pertinence of day-by-day fluctuations of emotions for understanding mental health and for monitoring the impact of prevention and psychotherapy programmes. This study examined the internal and ecological validity of a state-dependent conceptualisation of emotional processing in daily life, in comparison with an experiential-psychodynamic psychotherapy analogue session. Methods: In total, N = 42 university students participated in an experiential-psychodynamic session, completed symptom measures and responded to a one-week period of ecological momentary assessment (EMA) using a smartphone. Emotional processing in the session was assessed using the valid observer-rated measure Classification of Affective Meaning States (CAMS), and emotional responses in daily life were assessed using newly developed theory-consistent items self-rated via an interactive smartphone program. Results: Internal validity was generally satisfactory across the subscales used in EMA. Correspondence between EMA and in-session emotional processing was generally low, but specific relationships were found between self-rated fear, rejecting anger, hurt/grief or loneliness and the observer-rated productive emotions in the psychotherapy analogue session. Relationships between maladaptive emotional processing and intensity in symptoms were found. Conclusions: This is the first study to have examined the validity of a state-dependent conception of emotional processing in daily life, in direct comparison with a psychological session. We recommend using this assessment schedule to develop or complement integrative prevention or intervention programmes.

WILEY2021

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Many of us "see red," "feel blue," or "turn green with envy." Are such color-emotion associations fundamental to our shared cognitive architecture, or are they cultural creations learned through our languages and traditions? To answer these questions, we tested emotional associations of colors in 4,598 participants from 30 nations speaking 22 native languages. Participants associated 20 emotion concepts with 12 color terms. Pattern-similarity analyses revealed universal color-emotion associations (average similarity coefficientr= .88). However, local differences were also apparent. A machine-learning algorithm revealed that nation predicted color-emotion associations above and beyond those observed universally. Similarity was greater when nations were linguistically or geographically close. This study highlights robust universal color-emotion associations, further modulated by linguistic and geographic factors. These results pose further theoretical and empirical questions about the affective properties of color and may inform practice in applied domains, such as well-being and design.

SAGE PUBLICATIONS INC2020

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Across cultures, people associate colours with emotions. Here, we test the hypothesis that one driver of this cross-modal correspondence is the physical environment we live in. We focus on a prime example - the association of yellow with joy, - which conceivably arises because yellow is reminiscent of life-sustaining sunshine and pleasant weather. If so, this association should be especially strong in countries where sunny weather is a rare occurrence. We analysed yellow-joy associations of 6625 participants from 55 countries to investigate how yellow-joy associations varied geographically, climatologically, and seasonally. We assessed the distance to the equator, sunshine, precipitation, and daytime hours. Consistent with our hypotheses, participants who live further away from the equator and in rainier countries are more likely to associate yellow with joy. We did not find associations with seasonal variations. Our findings support a role for the physical environment in shaping the affective meaning of colour.

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2019

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