Acceptance Evaluation of a COVID-19 Home Health Service Delivery Relational Agent
15th EAI International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2021
; 431 LNICST:40-52, 2022.
Article
in English
| Scopus | ID: covidwho-1797699
ABSTRACT
Relational Agents (RAs) may be helpful in supporting the social distancing mandate during the COVID-19 pandemic by providing essential health services to patients at home and eliminating the need for in-person hospital visits. We conceptualized and developed a prototypical RA to visualize how this can be done in four major COVID-19 related health scenarios. In this paper, we present acceptance evaluation of the proposed RA using a survey based approach. A total of 105 participants were asked to interact with and analyze the prototype. Participants then indicated perceived usefulness and willingness to accept and use the proposed RA on Likert scales. The findings show that overall 80.77% of participants found the suggested RA useful. 59.67% of participants accepted it as an alternative to healthcare professionals as long as the scenario is not life-threatening. Furthermore, 78.29% of the participants indicated that they would be willing to use the proposed RA, if needed. Further research is needed to understand what factors can improve the uptake of the proposed RA among individuals ≤ 30 years and with no COVID-19 infection history. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
COVID-19; Health service; Healthcare professional; mHealth; Relational agent; User-centered design; User centered design; Health care professionals; Health services; Health services deliveries; Home health; Hospital visits; Likert scale; Perceived usefulness; Relational agents; Willingness to accept
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
15th EAI International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2021
Year:
2022
Document Type:
Article
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