EEGs as potential predictors of virtual agents’ acceptance
| Autor: | Luigi Trojano, Silvia Dell'Orco, Carl Vogel, Betul Tolgay, Mauro Maldonato, Anna Esposito |
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| Přispěvatelé: | Tolgay B, Dell’Orco S, Maldonato MN, Vogel Carl Trojano L, Esposito A, Tolgay, B., Dell'Orco, S., Maldonato, M. N., Vogel, C., Trojano, L., Esposito, A., Tolgay, Betul, Dell'Orco, Silvia, Maldonato, nelson mauro., Vogel, Carl, Trojano, Luigi, Esposito, Anna |
| Rok vydání: | 2019 |
| Předmět: |
Activities of daily living
Computer science 05 social sciences Emotion detection Preference prediction Context (language use) Affective-motivational state acceptance EEG Affective-motivational states Preference prediction 050105 experimental psychology Human–robot interaction Users' Assistive technologie 03 medical and health sciences 0302 clinical medicine Order (business) Human–computer interaction Users' acceptance Robot Elderly people 0501 psychology and cognitive sciences EEG Human-robot interaction Electroencephalography Robots Senior citizens Brain modeling Statistics Psychology 030217 neurology & neurosurgery |
| Zdroj: | 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) |
| DOI: | 10.1109/coginfocom47531.2019.9089944 |
| Popis: | Over the last decade, much effort has been made to develop robots and virtual agents acting as assistants of elderly people in order to support them in their daily activities. In this context users’ acceptance of such virtual assistants is fundamental for engaging them in order to maximize the assistance’s effectiveness and users’ comfort. Therefore, improving assessment techniques for elders’ acceptance of virtual agents is necessary for understanding the impressions they arouse and determining their design accordingly. This paper is a proposition to introduce an EEG emotion detection procedure to gain further insight in implementing effective virtual agents’ acceptance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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