Volltext-Downloads (blau) und Frontdoor-Views (grau)

Multimodal Emotion Analysis of Robotic Assistance in Elderly Care

  • 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 duringDue 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.zeige mehrzeige weniger

Metadaten exportieren

Statistik

frontdoor_oas
Metadaten
Dokumentart:Konferenzveröffentlichung
Art der Konferenzveröffentlichung:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/6308
Bibliografische Angaben
Titel (Englisch):Multimodal Emotion Analysis of Robotic Assistance in Elderly Care
Konferenzangaben:PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, 29 June 2022-1 July 2022, Corfu, Greece
Verfasserangaben:Annebeth DemaeghtStaff MemberGND, Christina MiclauStaff MemberGND, Julia Hartmann, Janina Markwardt, Oliver KornStaff MemberORCiDGND
Erscheinungsjahr:2022
Datum der Erstveröffentlichung:11.07.2022
Urhebende Körperschaft:Association for Computing Machinery
Verlagsort:New York, United States
Verlag:ACM Press
Erste Seite:230
Letzte Seite:236
Titel des übergeordneten Werkes (Englisch):PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments
ISBN:978-1-4503-9631-8
DOI:https://doi.org/10.1145/3529190.3529194
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Wirtschaft (W)
Fakultät Medien (M) (ab 22.04.2021)
Sammlungen der Hochschule Offenburg:Bibliografie
DDC-Sachgruppen:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Freies Schlagwort / Tag:Künstliche Intelligenz; Mensch-Maschine-Kommunikation
Elderly care; Emotion analysis; Human-centered computing
Formale Angaben
Relevanz für "Jahresbericht über Forschungsleistungen":1-fach | Konferenzbeitrag
Open-Access-Status: Open Access 
 Bronze 
Lizenz (Deutsch):License LogoUrheberrechtlich geschützt