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9. A comparative analysis of colour–emotion associations in 16–88‐year‐old adults from 31 countries

Author

Jonauskaite, Domicele, primary, Epicoco, Déborah, additional, Al‐rasheed, Abdulrahman S., additional, Aruta, John Jamir Benzon R., additional, Bogushevskaya, Victoria, additional, Brederoo, Sanne G., additional, Corona, Violeta, additional, Fomins, Sergejs, additional, Gizdic, Alena, additional, Griber, Yulia A., additional, Havelka, Jelena, additional, Hirnstein, Marco, additional, John, George, additional, Jopp, Daniela S., additional, Karlsson, Bodil, additional, Konstantinou, Nikos, additional, Laurent, Éric, additional, Marquardt, Lynn, additional, Mefoh, Philip C., additional, Oberfeld, Daniel, additional, Papadatou‐Pastou, Marietta, additional, Perchtold‐Stefan, Corinna M., additional, Spagnulo, Giulia F. M., additional, Sultanova, Aygun, additional, Tanaka, Takumi, additional, Tengco‐Pacquing, Ma. Criselda, additional, Uusküla, Mari, additional, Wąsowicz, Grażyna, additional, and Mohr, Christine, additional

Published
2023
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11. Digestive and genitourinary sequelae in rectal cancer survivors and their impact on health-related quality of life: Outcome of a high-resolution population-based study

Author

Abdelli, Amar, Ahkong, Marie-Vincent, Alkofer, Barbara, Apoil, Bernard, Paul Argouarch, Louis, Armand, Philippe, Arsène, Dominique, Auvray, Sylvain, Barthélémy, Richard, Bazille, Céline, Laure Bignon, Anne, Bonnamy, Cécile, Bouhier-Leporrier, Karine, Borotto, Eric, Brefort, Jean-Louis, Chomontovski, Jaroslaw, Cohen, Daniel, Cojocaru, Michel, Collet, Thierry, Congard, Patrick, Corbinais, Stéphane, Couque, Marc, Degoutte, Eric, Desfachelles, Jean-Pierre, Dupont, Benoit, Elfadel, Samouh, Galais, Marie-Pierre, Genuist, Frédéric, Girard, Nicolas, Gloro, Romain, Granveau, Antoine, Guilloit, Jean-Marc, Hervé, Sophie, Hessissen, Mehdi, Jacob, Jacques, Kalinski, Eric, Koutsomanis, Demetrios, Lagriffoul, Laurent, Lartigau, Christelle, Lechevallier, Laurent, Lebreton, Gil, Lefebvre, Anne-Charlotte, Lefrançois, Denis, Lepoittevin, Claudine, Leporrier, Julien, Le Roux, Yannick, L’Hirondel, André, L’Hirondel, Christian, Lion, Laurent, Makki, Ammar, Marchand, Patrice, Marion, Yoann, Mauger, Denis, Mosquet, Laurent, Mura, Denis No, Ollivier, Jean Michel, Parzy, Aurélie, Polycarpe, Emmanuel, Polycarpe, Florence, Reijasse, Didier, Renet, Catherine, Rodriguez, Cyprien, Saadi, Lakhdar, Samama, Guy, Saplacan, Mihaela, Sleman, Farouk, Siriser, Franck, Soufron, Jacques, Teste, Yves, Tiengou, Laurent-Eric, Toudic, Jean-Pierre, Eid, Yassine, Bouvier, Véronique, Menahem, Benjamin, Thobie, Alexandre, Dolet, Nathan, Finochi, Morgane, Renier, Marine, Gardy, Joséphine, Launoy, Guy, Dejardin, Olivier, Morello, Rémy, and Alves, Arnaud

Published
2019
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13. Emotions in Pervasive Computing Environments

Author

Jungum, Nevin Vunka and Laurent, Eric

Subjects
Computer Science - Human-Computer Interaction
Abstract

The ability of an intelligent environment to connect and adapt to real internal sates, needs and behaviors' meaning of humans can be made possible by considering users' emotional states as contextual parameters. In this paper, we build on enactive psychology and investigate the incorporation of emotions in pervasive systems. We define emotions, and discuss the coding of emotional human markers by smart environments. In addition, we compare some existing works and identify how emotions can be detected and modeled by a pervasive system in order to enhance its service and response to users. Finally, we analyze closely one XML-based language for representing and annotating emotions known as EARL and raise two important issues which pertain to emotion representation and modeling in XML-based languages., Comment: International Journal of Computer Science Issues, IJCSI Volume 6, Issue 1, pp8-22, November 2009

Published
2009

15. A comparative analysis of colour–emotion associations in 16–88‐year‐old adults from 31 countries.

Author

Jonauskaite, Domicele, Epicoco, Déborah, Al‐rasheed, Abdulrahman S., Aruta, John Jamir Benzon R., Bogushevskaya, Victoria, Brederoo, Sanne G., Corona, Violeta, Fomins, Sergejs, Gizdic, Alena, Griber, Yulia A., Havelka, Jelena, Hirnstein, Marco, John, George, Jopp, Daniela S., Karlsson, Bodil, Konstantinou, Nikos, Laurent, Éric, Marquardt, Lynn, Mefoh, Philip C., and Oberfeld, Daniel

Subjects
PEARSON correlation (Statistics), SATISFACTION, AROUSAL (Physiology), COLOR vision, EMOTIONS, AGE distribution, DESCRIPTIVE statistics, SURVEYS, AGING, AFFECT (Psychology), COMPARATIVE studies, WELL-being, CULTURAL pluralism
Abstract

As people age, they tend to spend more time indoors, and the colours in their surroundings may significantly impact their mood and overall well‐being. However, there is a lack of empirical evidence to provide informed guidance on colour choices, irrespective of age group. To work towards informed choices, we investigated whether the associations between colours and emotions observed in younger individuals also apply to older adults. We recruited 7393 participants, aged between 16 and 88 years and coming from 31 countries. Each participant associated 12 colour terms with 20 emotion concepts and rated the intensity of each associated emotion. Different age groups exhibited highly similar patterns of colour–emotion associations (average similarity coefficient of.97), with subtle yet meaningful age‐related differences. Adolescents associated the greatest number but the least positively biased emotions with colours. Older participants associated a smaller number but more intense and more positive emotions with all colour terms, displaying a positivity effect. Age also predicted arousal and power biases, varying by colour. Findings suggest parallels in colour–emotion associations between younger and older adults, with subtle but significant age‐related variations. Future studies should next assess whether colour–emotion associations reflect what people actually feel when exposed to colour. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Discussion

Author

Miller, Jacques-Alain, primary, Leguil, François, additional, Naveau, Pierre, additional, Lazarus-Matet, Catherine, additional, Laurent, Éric, additional, and Cottet, Serge, additional

Published
2023
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20. Editorial: Rising stars in psychopathology research.

Author

Hu, Bohua, He, Qinghua, Noël, Xavier, Bechara, Antoine, Laurent, Éric, Hu, Bohua, He, Qinghua, Noël, Xavier, Bechara, Antoine, and Laurent, Éric

Abstract

SCOPUS: ed.j, info:eu-repo/semantics/published

Published
2023

34. The consultant as an inclusion agent: an approach from the perspective of singularity.

Author

Laurent, Éric Gautier, Moriez, David Christophe, and Voynnet-Fourboul, Catherine

Abstract

Copyright of Recherches en Sciences de Gestion is the property of ISEOR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023

44. Individual differences in self-reported lie detection abilities

Author

LAURENT, Éric, Tomas, Frédéric, Jonauskaite, Domicele, Mohr, Christine, and Fernandes, Melanie

Subjects
Multidisciplinary
Abstract

Previous literature on lie detection abilities bears an interesting paradox. On the group level, people detect others’ lies at guessing level. However, when asked to evaluate their own abilities, people report being able to detect lies (i.e., self-reported lie detection). Understanding this paradox is important because decisions which rely on credibility assessment and deception detection can have serious implications (e.g., trust in others, legal issues). In two online studies, we tested whether individual differences account for variance in self-reported lie detection abilities. We assessed personality traits (Big-Six personality traits, Dark Triad), empathy, emotional intelligence, cultural values, trust level, social desirability, and belief in one’s own lie detection abilities. In both studies, mean self-reported lie detection abilities were above chance level. Then, lower out-group trust and higher social desirability levels predicted higher self-reported lie detection abilities. These results suggest that social trust and norms shape our beliefs about our own lie detection abilities.

Published
2022
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