Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research.
Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research.
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韩国成年人对信息抗结核聊天机器人的接受：混合方法研究。
DOI：
10.2196/26424
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发表时间：
2021-11-09
影响因子：
5
通讯作者：
Baek JS
中科院分区：
文献类型：
--
作者：
Kim AJ;Yang J;Jang Y;Baek JS
结核病（TB）是一种高度传染性疾病。负面看法和知识不足使其难以根除。最近，移动的医疗保健干预措施，如研究小组开发的抗结核聊天机器人，已经出现，以支持结核病根除计划。然而，在部署抗结核聊天机器人之前，重要的是要了解预测其被人群接受的因素。这项研究旨在探索抗结核聊天机器人的接受程度，该机器人为韩国易患结核病的人提供有关该疾病及其治疗的信息。因此，我们正在调查的因素，预测技术的接受，通过定性研究的基础上，结核病患者和无家可归的设施人员的采访。然后，我们验证了扩展的技术接受模型（TAM），并预测与聊天机器人接受相关的因素。在研究1中，我们对潜在的聊天机器人用户进行了访谈，以提取预测用户接受度的因素，并构建了一个基于TAM的概念框架。总共进行了16次与结核病患者的访谈和一次与10名结核病专家的焦点小组访谈。在研究2中，我们对潜在的聊天机器人用户进行了调查，以验证扩展的TAM。调查参与者是在结核病设施的晚期患者和共享结核病信息的网络社区成员中招募的。共收到123份回复。结果表明，感知易用性和社会影响力是感知有用性的显着预测（P= 0.04和P<0.001，分别）。感知的有用性是对聊天机器人态度的预测（P<.001），而感知的易用性（P=.88）则不是。对聊天机器人和促进条件的态度正向预测行为意图（分别为P<.001和P=.03）。该研究模型解释了使用抗结核聊天机器人的55.4%的方差。结核病史在对聊天机器人的态度与行为意图之间的关系（P=.01）以及促进条件与行为意图之间的关系（P=.02）中具有调节作用。这项研究可用于为抗结核聊天机器人的未来设计提供信息，并强调使人们能够使用该技术的服务和环境的重要性。
Tuberculosis (TB) is a highly infectious disease. Negative perceptions and insufficient knowledge have made its eradication difficult. Recently, mobile health care interventions, such as an anti-TB chatbot developed by the research team, have emerged in support of TB eradication programs. However, before the anti-TB chatbot is deployed, it is important to understand the factors that predict its acceptance by the population. This study aims to explore the acceptance of an anti-TB chatbot that provides information about the disease and its treatment to people vulnerable to TB in South Korea. Thus, we are investigating the factors that predict technology acceptance through qualitative research based on the interviews of patients with TB and homeless facility personnel. We are then verifying the extended Technology Acceptance Model (TAM) and predicting the factors associated with the acceptance of the chatbot. In study 1, we conducted interviews with potential chatbot users to extract the factors that predict user acceptance and constructed a conceptual framework based on the TAM. In total, 16 interviews with patients with TB and one focus group interview with 10 experts on TB were conducted. In study 2, we conducted surveys of potential chatbot users to validate the extended TAM. Survey participants were recruited among late-stage patients in TB facilities and members of web-based communities sharing TB information. A total of 123 responses were collected. The results indicate that perceived ease of use and social influence were significantly predictive of perceived usefulness (P=.04 and P<.001, respectively). Perceived usefulness was predictive of the attitude toward the chatbot (P<.001), whereas perceived ease of use (P=.88) was not. Behavioral intention was positively predicted by attitude toward the chatbot and facilitating conditions (P<.001 and P=.03, respectively). The research model explained 55.4% of the variance in the use of anti-TB chatbots. The moderating effect of TB history was found in the relationship between attitude toward the chatbot and behavioral intention (P=.01) and between facilitating conditions and behavioral intention (P=.02). This study can be used to inform future design of anti-TB chatbots and highlight the importance of services and the environment that empower people to use the technology.
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影响因子：
9.9
作者：
Araujo, Theo
通讯作者：
Araujo, Theo
DOI：
10.1016/j.ijhcs.2019.07.009
发表时间：
2019-12-01
影响因子：
5.4
作者：
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通讯作者：
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DOI：
10.1142/s0218348x19500385
发表时间：
2019-05-01
影响因子：
4.7
作者：
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通讯作者：
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影响因子：
5
作者：
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通讯作者：
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影响因子：
8.5
作者：
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通讯作者：
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