The present investigation aims at assessing elders' ability to decode facial emotional expressions conveyed by differently aged people in order to confirm (or disconfirm) the appropriateness of the 'own age bias' theory, as well as investigate effects of different ages and different emotional categories. The study, involves 44 healthy elders (23 females), aged 65+ (mean age=75.09; SD=±7.9) which were requested to label 76 pictures depicting elders, middle-aged and young women and men displaying the six facial emotional expressions of disgust, anger, fear, sadness, happiness and neutrality. Results show a complex pattern of influences that calls for more deep investigations on the features to be accounted by providing socially and emotionally believable interfaces of effective and efficient algorithms to detect and decode their users' emotional facial expressions.

Seniors' ability to decode differently aged facial emotional expressions / Esposito, A.; Amorese, T.; Maldonato, N. M.; Vinciarelli, A.; Torres, M. I.; Escalera, S.; Cordasco, G.. - (2020), pp. 716-722. ( 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 20202020) [10.1109/FG47880.2020.00077].

Seniors' ability to decode differently aged facial emotional expressions

Maldonato N. M.;
2020

Abstract

The present investigation aims at assessing elders' ability to decode facial emotional expressions conveyed by differently aged people in order to confirm (or disconfirm) the appropriateness of the 'own age bias' theory, as well as investigate effects of different ages and different emotional categories. The study, involves 44 healthy elders (23 females), aged 65+ (mean age=75.09; SD=±7.9) which were requested to label 76 pictures depicting elders, middle-aged and young women and men displaying the six facial emotional expressions of disgust, anger, fear, sadness, happiness and neutrality. Results show a complex pattern of influences that calls for more deep investigations on the features to be accounted by providing socially and emotionally believable interfaces of effective and efficient algorithms to detect and decode their users' emotional facial expressions.
2020
978-1-7281-3079-8
Seniors' ability to decode differently aged facial emotional expressions / Esposito, A.; Amorese, T.; Maldonato, N. M.; Vinciarelli, A.; Torres, M. I.; Escalera, S.; Cordasco, G.. - (2020), pp. 716-722. ( 15th IEEE International Conference on Automatic Face and Gesture Recognition, FG 20202020) [10.1109/FG47880.2020.00077].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/847101
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