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.
EEGs as potential predictors of virtual agents’ acceptance / Tolgay, Betul; Dell'Orco, Silvia; Maldonato, nelson mauro.; Vogel, Carl; Trojano, Luigi; Esposito, Anna. - (2020), pp. 433-438. (Intervento presentato al convegno 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Naples, Italy tenutosi a Napoli nel 23-25 Ottobre 2019) [10.1109/CogInfoCom47531.2019.9089944].
EEGs as potential predictors of virtual agents’ acceptance
Dell'Orco, Silvia;Maldonato, nelson mauro.;
2020
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
