Assessing usability of intelligent guidance chatbots in Chinese hospitals: Cross-sectional study
| Autor: | Yanni Yang, Siyang Liu, Ping Lei, Zhengwei Huang, Lu Liu, Yiting Tan |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Digital Health, Vol 10 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2055-2076 20552076 |
| DOI: | 10.1177/20552076241260504 |
| Popis: | Objective This study aimed to assessing usability of intelligent guidance chatbots (IGCs) in Chinese hospitals. Methods A cross-sectional study based on expert survey was conducted between August to December 2023. The survey assessed the usability of chatbots in 590 Chinese hospitals. One-way ANOVA was used to analyze the impact of the number of functions, human-like characteristics, number of outpatients, and staff size on the usability of the IGCs. Results The results indicate that there are 273 (46.27%) hospitals scoring above 45 points. In terms of function development, 581(98.47%) hospitals have set the number of functions between 1 and 5. Besides, 350 hospitals have excellent function implementation, accounting for 59.32%. In terms of the IGC's human-like characteristic, 220 hospitals have both an avatar and a nickname. Results of One-way ANOVA show that, the number of functions( F = 202.667, P |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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