TY - CPAPER U1 - Konferenzveröffentlichung A1 - Demaeght, Annebeth A1 - Miclau, Christina A1 - Hartmann, Julia A1 - Markwardt, Janina A1 - Korn, Oliver T1 - Multimodal Emotion Analysis of Robotic Assistance in Elderly Care T2 - PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments N2 - Due to the increasing aging of the population, the number of elderly people requiring care is growing in most European countries. However, the number of caregivers working in nursing homes and on daily care services is declining in countries like Germany or Italy. This limits the time for interpersonal communication. Furthermore, as a result of the Covid-19 pandemic, social distancing during contact restrictions became more important, causing an additional reduction of personal interaction. This social isolation can strongly increase emotional stress. Robotic assistance could contribute to addressing this challenge on three levels: (1) supporting caregivers to respond individually to the needs of patients and residents in nursing homes; (2) observing patients’ health and emotional state; (3) complying with high hygiene standards and minimizing human contact if required. To further the research on emotional aspects and the acceptance of robotic assistance in care, we conducted two studies where elderly participants interacted with the social robot Misa. Facial expression and voice analysis were used to identify and measure the emotional state of the participants during the interaction. While interpersonal contact plays a major role in elderly care, the findings reveal that robotic assistance generates added value for both caregivers and patients and that they show emotions while interacting with them. KW - Emotion analysis KW - Künstliche Intelligenz KW - Mensch-Maschine-Kommunikation KW - Human-centered computing KW - Elderly care Y1 - 2022 SN - 978-1-4503-9631-8 SB - 978-1-4503-9631-8 U6 - https://doi.org/10.1145/3529190.3529194 DO - https://doi.org/10.1145/3529190.3529194 SP - 230 EP - 236 PB - ACM Press CY - New York, United States ER -