ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Using conversational agents to explain medication instructions to older adults.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Remote Virtual Interactive Agents for Older Adults: Exploring Its Science via Network Analysis and Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Article
- A Framework for Design of Conversational Agents to Support Health Self-Care for Older Adults.Human factors · 2021Review
- Comparing Older and Younger Adults Perceptions of Voice and Text-based Search for Consumer Health Information Tasks.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Conversational Agents in Health Care: Scoping Review and Conceptual Analysis.Journal of medical Internet research · 2020Article
- Emojis and Emoticons in Health Care and Dermatology Communication: Narrative Review.JMIR dermatologyArticle
- Ascertaining Whether an Intelligent Voice Assistant Can Meet Older Adults' Health-Related Needs in the Context of a Geriatrics 5Ms Framework.Gerontology & geriatric medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In an effort to guide the development of a computer agent (CA)-based adviser system that presents patient-centered language to older adults (e.g., medication instructions in portal environments or smartphone apps), we evaluated 360 older and younger adults' responses to medication information delivered by a set of CAs. We assessed patient memory for medication information, their affective responses to the information, their perception of the CA's teaching effectiveness and expressiveness, and their perceived level of similarity with each CA. Each participant saw CAs varying in appearance and levels of realism (Photo-realistic vs Cartoon vs Emoji, as control condition). To investigate the impact of affective cues on patients, we varied CA message framing, with effects described either as gains of taking or losses of not taking the medication. Our results corroborate the idea that CAs can produce a significant effect on older adults' learning in part by engendering social responses.
Indexed as
Identifiers
30815056PMC6371340What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.