Investigating the Use of ChatGpt as a Novel Method for Seeking Health Information: A Qualitative Approach

被引:7
作者
Al Shboul M.K.I. [1 ]
Alwreikat A. [1 ]
Alotaibi F.A. [2 ]
机构
[1] Library and Information Management, Al-Balqa Applied University, Al-Salt
[2] Department of Information Science, College of Humanities and Social Sciences, King Saud University, Riyadh
关键词
Artificial intelligence; Chatbots; ChatGPT; health information behavior; qualitative research;
D O I
10.1080/0194262X.2023.2250835
中图分类号
学科分类号
摘要
ChatGPT is becoming more and more popular in the healthcare sector as a way to deliver quick and easy access to health information. However, little is known about how participants view ChatGPT when seeking health information. To find participants’ perspectives on using ChatGPT for health information and to pinpoint areas where ChatGPT’s functionality and design should be improved. Sixteen individuals who had used ChatGPT to look for health information underwent semi-structured interviews. Themes were found via thematic data analysis. ChatGPT was easy for participants to use and handy for getting health information. They did, however, voice reservations over the dependability and credibility of ChatGPT for more complicated medical situations. Additionally highlighted as essential requirements while seeking health information were emotional support and empathy. For healthcare professionals and Chatbot developers, the study’s findings have both theoretical and real-world applications. The study highlights the necessity to create ChatGPT with accessibility, ease, trustworthiness, personalization, and usability in mind and underscores the significance of a person-centered approach to healthcare. ChatGPT has the potential to improve health information behavior. However, there is a constant demand for design and functionality advancements. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
引用
收藏
页码:225 / 234
页数:9
相关论文
共 15 条
[1]  
Abroms L.C., Lee Westmaas J., Bontemps-Jones J., Ramani R., Mellerson J., Phone-Malone H., A content analysis of popular smartphone apps for smoking cessation, American Journal of Preventive Medicine, 54, 3, pp. 425-428, (2018)
[2]  
Aggarwal A., Tam C., Wu D., Li X., Qiao S., Artificial intelligence–Based chatbots for promoting health behavioral changes: Systematic review, Journal of Medical Internet Research, 25, (2023)
[3]  
Health information is human information, (2019)
[4]  
Al-Wreikat A., Rafferty P., Foster A., Cross-language information seeking behaviour English vs Arabic, Library Review, 64, 6-7, pp. 446-467, (2015)
[5]  
Alwreikat A., Shehata A., Edakar M., Arab women feelings while seeking information during COVID-19 pandemic: Applying PMT constructs, Online Information Review, 46, 3, pp. 525-546, (2022)
[6]  
Chaix B., Bibault J.E., Pienkowski A., Delamon G., Guillemasse A., Nectoux P., Brouard B., When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot, JMIR Cancer, 25, 1, (2019)
[7]  
Chow J., Sanders L., Li K., Impact of ChatGPT on medical chatbots as a disruptive technology, Frontiers in Artificial Intelligence, 6, (2023)
[8]  
Folstad A., Skjuve M., Brandtzaeg P., Different chatbots for different purposes: Towards a typology of chatbots to understand interaction design, 37, (2019)
[9]  
Jabir A., Martinengo L., Lin X., Torous J., Subramaniam M., Tudor C.L., Evaluating conversational agents for mental health: Scoping review of outcomes and outcome measurement instruments, Journal of Medical Internet Research, 25, (2023)
[10]  
Lund B.D., Wang T., Chatting about ChatGPT: How may AI and GPT impact academia and libraries?, Library Hi Tech News, (2023)