Conversational Agents for Older Adults' Health: A Systematic Literature Review

• URL: http://arxiv.org/abs/2503.23153v1
• Date: Sat, 29 Mar 2025 17:19:09 GMT
• Title: Conversational Agents for Older Adults' Health: A Systematic Literature Review
• Abstract summary: There has been vast literature that studies Conversational Agents (CAs) in facilitating older adults' health.<n>This study reviewed previously studied older adults' characteristics and analyzed participants' experiences and expectations of CAs for health.<n>Older adults mainly showed low acceptance CAs for health due to various reasons, such as unstable effects, harm to independence, and privacy concerns.
• Score: 3.848457209521443
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: There has been vast literature that studies Conversational Agents (CAs) in facilitating older adults' health. The vast and diverse studies warrants a comprehensive review that concludes the main findings and proposes research directions for future studies, while few literature review did it from human-computer interaction (HCI) perspective. In this study, we present a survey of existing studies on CAs for older adults' health. Through a systematic review of 72 papers, this work reviewed previously studied older adults' characteristics and analyzed participants' experiences and expectations of CAs for health. We found that (1) Past research has an increasing interest on chatbots and voice assistants and applied CA as multiple roles in older adults' health. (2) Older adults mainly showed low acceptance CAs for health due to various reasons, such as unstable effects, harm to independence, and privacy concerns. (3) Older adults expect CAs to be able to support multiple functions, to communicate using natural language, to be personalized, and to allow users full control. We also discuss the implications based on the findings.

Related papers

• Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions [51.74800196847922]
  Ambivalence and hesitancy (A/H) play a primary role for individuals to delay, avoid, or abandon health interventions.<n>While experts can be trained to recognize A/H, integrating them into digital health interventions is costly and less effective.<n>Here, we explore the application of deep learning models for A/H recognition in videos, a multi-modal task by nature.
  arXiv  Detail & Related papers  (2026-04-13T17:05:38Z)
• Measuring the Mental Health of Content Reviewers, a Systematic Review [50.06646946044604]
  Many workers report long-term, potentially irreversible psychological harm.<n>This work is similar to activities that cause psychological harm to other kinds of helping professionals even after small doses of exposure.<n>This systematic review summarizes psychological measures from other professions and relates them to the experiences of content reviewers.
  arXiv  Detail & Related papers  (2025-02-01T00:50:15Z)
• Investigating an Intelligent System to Monitor \& Explain Abnormal Activity Patterns of Older Adults [52.40826527071519]
  Despite the growing potential of older adult care technologies, the adoption of these technologies remains challenging.<n>This work conducted a focus-group session with family caregivers to scope designs of the older adult care technology.<n>We developed a high-fidelity prototype and conducted its qualitative study with professional caregivers and older adults.
  arXiv  Detail & Related papers  (2025-01-30T03:21:14Z)
• Devising a Set of Compact and Explainable Spoken Language Feature for Screening Alzheimer's Disease [52.46922921214341]
  Alzheimer's disease (AD) has become one of the most significant health challenges in an aging society.<n>We devised an explainable and effective feature set that leverages the visual capabilities of a large language model (LLM) and the Term Frequency-Inverse Document Frequency (TF-IDF) model.<n>Our new features can be well explained and interpreted step by step which enhance the interpretability of automatic AD screening.
  arXiv  Detail & Related papers  (2024-11-28T05:23:22Z)
• Requirements Engineering for Older Adult Digital Health Software: A Systematic Literature Review [2.7992435001846827]
  Growth of the older adult population has led to an increasing interest in technology-supported aged care. Digital health can be important in supporting older adults wellbeing, emotional requirements, and social needs. There is a gap in the understanding between developers and ageing people of their requirements.
  arXiv  Detail & Related papers  (2024-11-06T04:35:39Z)
• Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review [0.6144680854063939]
  Many studies are being published on Ambient Assisted Living (AAL) systems, which help to reduce the preoccupations raised by the independent living of the elderly. In this study, a systematic review of the literature is presented on fall detection and Human Activity Recognition (HAR) for the elderly. To address the current tendency to perform these two tasks, the review focuses on the use of Deep Learning (DL) based approaches on computer vision data.
  arXiv  Detail & Related papers  (2024-01-22T09:40:52Z)
• An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives [7.564560899044939]
  We conduct a comprehensive literature review using the PRISMA framework, reviewing 534 papers published in both computer science and medicine. Our systematic review reveals 136 key papers on building mental health-related conversational agents with diverse characteristics of modeling and experimental design techniques.
  arXiv  Detail & Related papers  (2023-10-25T21:37:57Z)
• UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library [3.774026907596324]
  We conduct a review of literature of ACM publications and identify a set of works that conducted UX (user experience) research. We qualitatively synthesize the effects of polyadic CAs into four aspects of human-human interactions, i.e., communication, engagement, connection, and relationship maintenance. Our findings show that designing with social boundaries, such as privacy, disclosure, and identification, is crucial for ethical polyadic CAs.
  arXiv  Detail & Related papers  (2022-02-20T19:27:45Z)
• TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening [51.97352212369947]
  We analyzed 246 conversations of cognitive assessments between older adults and human assessors. We derived the categories of reactive backchannels and proactive backchannels. This is used in the development of TalkTive, a CA which can predict both timing and form of backchanneling.
  arXiv  Detail & Related papers  (2022-02-16T17:55:34Z)
• Assessing the Severity of Health States based on Social Media Posts [62.52087340582502]
  We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state. The diverse NLU views demonstrate its effectiveness on both the tasks and as well as on the individual disease to assess a user's health.
  arXiv  Detail & Related papers  (2020-09-21T03:45:14Z)
• Anxiety Detection Leveraging Mobile Passive Sensing [53.11661460916551]
  Anxiety disorders are the most common class of psychiatric problems affecting both children and adults. Leveraging passive and unobtrusive data collection from smartphones could be a viable alternative to classical methods. eWellness is an experimental mobile application designed to track a full-suite of sensor and user-log data off an individual's device in a continuous and passive manner.
  arXiv  Detail & Related papers  (2020-08-09T20:22:52Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.