Using an off-the-shelf platform to develop a gender-sensitive health care robot for older adults and chronically ill people

Autor: Yvonne Prinzellner, Nadine Sturm, Constanze Geyer, Gabriele Salomon, Astrid Weiss, Sabine Zauchner, Manuela Plößnig, Oliver Jung
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Aging and Health Research, Vol 2, Iss 2, Pp 100072- (2022)
Druh dokumentu: article
ISSN: 2667-0321
DOI: 10.1016/j.ahr.2022.100072
Popis: Social robots are often envisioned as companions for older adults and chronically ill people to support them in everyday life (taking medication, staying physically active, etc.). For all these tasks a high-level of personalization is required, in order to achieve satisfying support as well as a high degree of engagement to motivate people to continue a healthy lifestyle. In the Austrian project RoboGen, we wanted to achieve exactly that. Using an off-the-shelf low-cost robotic platform (Q.bo One), we extended it with a learning agent and designed the interaction in a gender-sensitive way. In this brief communication we present the evaluation results derived from a case study with potential users and semi-structured interviews with experts. Our results show the challenges that come with off-the-shelf robotic platforms and usability (speech recognition, text-to-speech output etc.), also highlight the perception of the potential users as well as how experts rated the concept.
Databáze: Directory of Open Access Journals