PDF(Pubmed)
Abstract：
UNASSIGNED: Artificial intelligence (AI) chatbots have the potential to assist individuals with chronic health conditions by providing tailored information, monitoring symptoms, and offering mental health support. Despite their potential benefits, research on public attitudes toward health care chatbots is still limited. To effectively support individuals with long-term health conditions like long COVID (or post-COVID-19 condition), it is crucial to understand their perspectives and preferences regarding the use of AI chatbots.
UNASSIGNED: This study has two main objectives: (1) provide insights into AI chatbot acceptance among people with chronic health conditions, particularly adults older than 55 years and (2) explore the perceptions of using AI chatbots for health self-management and long COVID support.
UNASSIGNED: A web-based survey study was conducted between January and March 2023, specifically targeting individuals with diabetes and other chronic conditions. This particular population was chosen due to their potential awareness and ability to self-manage their condition. The survey aimed to capture data at multiple intervals, taking into consideration the public launch of ChatGPT, which could have potentially impacted public opinions during the project timeline. The survey received 1310 clicks and garnered 900 responses, resulting in a total of 888 usable data points.
UNASSIGNED: Although past experience with chatbots (P<.001, 95% CI .110-.302) and online information seeking (P<.001, 95% CI .039-.084) are strong indicators of respondents\' future adoption of health chatbots, they are in general skeptical or unsure about the use of AI chatbots for health care purposes. Less than one-third of the respondents (n=203, 30.1%) indicated that they were likely to use a health chatbot in the next 12 months if available. Most were uncertain about a chatbot\'s capability to provide accurate medical advice. However, people seemed more receptive to using voice-based chatbots for mental well-being, health data collection, and analysis. Half of the respondents with long COVID showed interest in using emotionally intelligent chatbots.
UNASSIGNED: AI hesitancy is not uniform across all health domains and user groups. Despite persistent AI hesitancy, there are promising opportunities for chatbots to offer support for chronic conditions in areas of lifestyle enhancement and mental well-being, potentially through voice-based user interfaces.
UNASSIGNED: This study has two main objectives: (1) provide insights into AI chatbot acceptance among people with chronic health conditions, particularly adults older than 55 years and (2) explore the perceptions of using AI chatbots for health self-management and long COVID support.
UNASSIGNED: A web-based survey study was conducted between January and March 2023, specifically targeting individuals with diabetes and other chronic conditions. This particular population was chosen due to their potential awareness and ability to self-manage their condition. The survey aimed to capture data at multiple intervals, taking into consideration the public launch of ChatGPT, which could have potentially impacted public opinions during the project timeline. The survey received 1310 clicks and garnered 900 responses, resulting in a total of 888 usable data points.
UNASSIGNED: Although past experience with chatbots (P<.001, 95% CI .110-.302) and online information seeking (P<.001, 95% CI .039-.084) are strong indicators of respondents\' future adoption of health chatbots, they are in general skeptical or unsure about the use of AI chatbots for health care purposes. Less than one-third of the respondents (n=203, 30.1%) indicated that they were likely to use a health chatbot in the next 12 months if available. Most were uncertain about a chatbot\'s capability to provide accurate medical advice. However, people seemed more receptive to using voice-based chatbots for mental well-being, health data collection, and analysis. Half of the respondents with long COVID showed interest in using emotionally intelligent chatbots.
UNASSIGNED: AI hesitancy is not uniform across all health domains and user groups. Despite persistent AI hesitancy, there are promising opportunities for chatbots to offer support for chronic conditions in areas of lifestyle enhancement and mental well-being, potentially through voice-based user interfaces.
摘要：
■人工智能（AI）聊天机器人有可能通过提供量身定制的信息来帮助患有慢性健康状况的个人，监测症状，并提供心理健康支持。尽管它们有潜在的好处，关于公众对医疗保健聊天机器人态度的研究仍然有限。为了有效支持患有长期健康状况（如长期COVID（或COVID-19后））的个人，了解他们对使用AI聊天机器人的看法和偏好至关重要。
■这项研究有两个主要目标：（1）提供对慢性健康状况人群中AI聊天机器人接受度的见解，特别是55岁以上的成年人，(2)探索使用人工智能聊天机器人进行健康自我管理和长期COVID支持的看法。
■在2023年1月至3月之间进行了一项基于网络的调查研究，专门针对患有糖尿病和其他慢性病的个人。选择这个特定的人群是因为他们的潜在意识和自我管理病情的能力。该调查旨在以多个间隔捕获数据，考虑到ChatGPT的公开推出，这可能会在项目时间表期间影响公众意见。该调查获得了1310次点击，并获得了900个回复，导致总共888个可用数据点。
尽管过去使用聊天机器人的经验（P<.001，95％CI.110-.302）和在线信息寻求（P<.001，95％CI.039-.084）是受访者未来采用健康聊天机器人的有力指标，他们普遍怀疑或不确定将AI聊天机器人用于医疗保健目的。不到三分之一的受访者（n=203，30.1%）表示，如果有的话，他们可能会在未来12个月内使用健康聊天机器人。大多数人不确定聊天机器人提供准确医疗建议的能力。然而,人们似乎更容易接受使用基于语音的聊天机器人来提高心理健康，健康数据收集，和分析。患有长COVID的受访者中有一半对使用情感智能聊天机器人表现出兴趣。
■AI犹豫在所有健康领域和用户组中并不统一。尽管AI犹豫不决，聊天机器人有很有希望的机会为生活方式改善和心理健康领域的慢性病提供支持，可能通过基于语音的用户界面。
■这项研究有两个主要目标：（1）提供对慢性健康状况人群中AI聊天机器人接受度的见解，特别是55岁以上的成年人，(2)探索使用人工智能聊天机器人进行健康自我管理和长期COVID支持的看法。
■在2023年1月至3月之间进行了一项基于网络的调查研究，专门针对患有糖尿病和其他慢性病的个人。选择这个特定的人群是因为他们的潜在意识和自我管理病情的能力。该调查旨在以多个间隔捕获数据，考虑到ChatGPT的公开推出，这可能会在项目时间表期间影响公众意见。该调查获得了1310次点击，并获得了900个回复，导致总共888个可用数据点。
尽管过去使用聊天机器人的经验（P<.001，95％CI.110-.302）和在线信息寻求（P<.001，95％CI.039-.084）是受访者未来采用健康聊天机器人的有力指标，他们普遍怀疑或不确定将AI聊天机器人用于医疗保健目的。不到三分之一的受访者（n=203，30.1%）表示，如果有的话，他们可能会在未来12个月内使用健康聊天机器人。大多数人不确定聊天机器人提供准确医疗建议的能力。然而,人们似乎更容易接受使用基于语音的聊天机器人来提高心理健康，健康数据收集，和分析。患有长COVID的受访者中有一半对使用情感智能聊天机器人表现出兴趣。
■AI犹豫在所有健康领域和用户组中并不统一。尽管AI犹豫不决，聊天机器人有很有希望的机会为生活方式改善和心理健康领域的慢性病提供支持，可能通过基于语音的用户界面。
