User Engagement with A Multimodal Conversational Agent for Self-Care and Chronic Disease Management: A Retrospective Analysis.

IF 5.7 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Selahattin Colakoglu, Mustafa Durmus, Zeynep Pelin Polat, Asli Yildiz, Emre Sezgin
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引用次数: 0

Abstract

Introduction: Understanding user engagement with conversational agents is key to their sustainable use in mobile health and improving patient outcomes. This retrospective study analyzed interactions with a multimodal conversational agent in the Albert Health app to identify usage patterns and barriers to long-term engagement in self-care and chronic disease management.

Methods: We retrospectively analyzed interactions from 24,537 users of a Turkish-language mobile health app (between January 1, 2022, and December 31, 2023). Interactions with the app's multimodal conversational agent (voice and text) were categorized by demographics, interaction type, and engagement mode. Descriptive statistics summarized patterns, while Mann-Whitney U, Chi-square, and logistic regression identified group differences and predictors of sustainable engagement.

Results: Most users were female (56%) and aged 30-45 (44%). The majority (92%) used general health programs, with only 8% in disease-specific ones. Common interaction types included health information (32%), small talk (20%), and clinical parameter logging (16%; e.g., blood pressure). Voice use was frequent in fallback (80%; unclear/ out-of-scope input), small talk (64%), and medication tasks (53%), while screen input was more common for clinical logging (61%) and health queries (59%). Engagement peaked in the first week and declined after 10 days. Sustainable engagement was associated with disease-specific program use (OR = 0.67, 95%CI: 0.60-0.74, p < 0.001), greater voice interaction (OR = 1.005, 95%CI: 1.004-1.006, p < 0.001), and a balanced mix of clinical and non-clinical use (OR = 1.56, 95%CI: 1.43-1.70, p < 0.05).

Conclusions: This study highlights user preferences for voice interaction and health information access when using a multimodal conversational agent. The high rate of single-session users (58%) points to barriers to sustainable engagement, emphasizing the need for better user experience strategies.

Abstract Image

Abstract Image

用户参与多模式会话代理自我保健和慢性疾病管理:回顾性分析。
引言:了解用户与对话代理的互动是其在移动医疗中可持续使用和改善患者预后的关键。这项回顾性研究分析了与Albert Health应用程序中多模式对话代理的相互作用,以确定长期参与自我保健和慢性疾病管理的使用模式和障碍。方法:我们回顾性分析了24,537名土耳其语移动健康应用程序用户(2022年1月1日至2023年12月31日)的互动情况。与应用程序的多模式对话代理(语音和文本)的交互按照人口统计、交互类型和参与模式进行了分类。描述性统计总结了模式,而Mann-Whitney U、卡方和逻辑回归则确定了群体差异和可持续参与的预测因素。结果:大多数用户为女性(56%),年龄在30-45岁之间(44%)。大多数人(92%)使用一般健康计划,只有8%的人使用特定疾病的计划。常见的互动类型包括健康信息(32%)、闲聊(20%)和临床参数记录(16%);例如,血压)。语音使用在退场中较为频繁(80%;不清楚/超出范围的输入),闲聊(64%)和药物任务(53%),而屏幕输入更常见的是临床记录(61%)和健康查询(59%)。用户粘性在第一周达到顶峰,10天后开始下降。持续参与与疾病特定程序的使用相关(OR = 0.67, 95%CI: 0.60-0.74, p)。结论:本研究强调了用户在使用多模式会话代理时对语音交互和健康信息访问的偏好。单次会话用户的高比率(58%)指出了持续粘性的障碍,强调了更好的用户体验策略的必要性。
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来源期刊
Journal of Medical Systems
Journal of Medical Systems 医学-卫生保健
CiteScore
11.60
自引率
1.90%
发文量
83
审稿时长
4.8 months
期刊介绍: Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.
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