Reference health
The Personalization of Conversational Agents in Health Care: Systematic Review
2 of 58 checkable references need attention · checked 2026-08-16
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.1016/j.cogsci.2004.06.002
does not resolve to a known work10.1037//0022-3514.54.6.1063
The 56 checked references that resolve
resolves10.1177/0706743719828977
Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape
resolves10.1080/10919392.2006.9681199
What Is Personalization? Perspectives on the Design and Implementation of Personalization in Information Systems
resolves10.1016/j.specom.2003.10.003
An automatic dialogue generation platform for personalized dialogue applications
resolves10.1007/978-3-319-15557-9_8
Acquisition and Use of Long-Term Memory for Personalized Dialog Systems
resolves10.2196/jmir.8.4.e30
Evaluation of Spoken Dialogue Technology for Real-Time Health Data Collection
resolves10.1037/0033-2909.133.4.673
Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions.
resolves10.1207/s15324796abm3103_2
A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors
resolves10.1136/bmjopen-2015-010243
Other side of the coin for personalised medicine and healthcare: content analysis of ‘personalised’ practices in the literature
resolves10.1136/jamia.2001.0080062
Review of Computer-generated Outpatient Health Behavior Interventions: Clinical Encounters "in Absentia"
resolves10.2196/mental.7785
Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial
resolves10.1371/journal.pone.0182151
Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders
resolves10.2147/PPA.S53504
Mobile phone-based asthma self-management aid for adolescents (mASMAA): a feasibility study
resolves10.1016/j.pec.2013.05.007
Virtual training and coaching of health behavior: Example from mindfulness meditation training
resolves10.1109/ecbs.2008.31
Automated Phone Capture of Diabetes Patients Readings with Consultant Monitoring via the Web
resolves10.1109/cbms.2005.33
Appraisal of a Conversational Artefact and Its Utility in Remote Patient Monitoring
resolves10.1016/j.ijmedinf.2004.04.026
Automated spoken dialogue system for hypertensive patient home management
resolves10.2196/mental.9782
Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial
resolves10.2196/12106
An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study
resolves10.2196/jmir.7640
Using Relational Agents to Promote Exercise and Sun Protection: Assessment of Participants’ Experiences With Two Interventions
resolves10.1080/08839514.2013.835230
AN AUTOMATIC DIALOG SIMULATION TECHNIQUE TO DEVELOP AND EVALUATE INTERACTIVE CONVERSATIONAL AGENTS
resolves10.1207/s15327051hci1803_1
Theory of Personalization of Appearance: Why Users Personalize Their PCs and Mobile Phones
resolves10.3115/1117736.1117747
Dynamic user level and utility measurement for adaptive dialog in a help-desk system
resolves10.1111/1467-9620.00208
Demystifying Reflection: A Study of Pedagogical Strategies that Encourage Reflective Journal Writing
resolves10.5860/choice.50-0926
The filter bubble: how the new personalized Web is changing what we read and how we think
resolves10.2196/11510
Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: An Observational Study of Siri, Alexa, and Google Assistant
resolves10.2307/25148715
The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization1
The 12 references without a DOI — listed, not checked
no DOI — not checkedCambridge dictionaries online20152019-09-16Cambridge University Presshttp://dictionary.cambridge.org
no DOI — not checkedref8
no DOI — not checkedBrennanSLexical entrainment in spontaneous dialog1996Proceedings of ISSD 961996Philadelphia4144
no DOI — not checkedCareniniGMooreJDAn empirical study of the influence of user tailoring on evaluative argument effectiveness2001Proceedings of the 17th international joint conference on Artificial intelligence - Volume 22001Seattle, WAMorgan Kaufmann Publishers Inc130712
no DOI — not checkedref28
no DOI — not checkedPerezSTechcrunch20192019-09-16Report: Voice assistants in use to triple to 8 billion by 2023https://techcrunch.com/2019/02/12/report-voice-assistants-in-use-to-triple-to-8-billion-by-2023/
no DOI — not checkedref34
no DOI — not checkedref43
no DOI — not checkedHongHScale development for measuring health consciousness: Re-conceptualization200912th Annual International Public Relations Research Conference2009Florida
no DOI — not checkedChu-CarrollJNickersonJSEvaluating automatic dialogue strategy adaptation for a spoken dialogue system2000North American Chapter of the Association for Computational Linguistics ConferenceApril 29 - May 04, 2000Seattle, WashingtonAssociation for Computational Linguistics202209
no DOI — not checkedref63
no DOI — not checkedref67
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