Evidence map›Paper›PMID 41069994›Full record

ArticleInnovation in aging2025

Older and younger adults' perceptions of augmented reality photorealistic avatars as a viable medium for interpersonal communication.

Mahrukh Tauseef, Akshith Ullal, Alexandra Watkins, Mary S Dietrich, Cathy Maxwell, Judith Tate, Lisa Juckett, Lorraine C Mion, Nilanjan Sarkar

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mahrukh TauseefDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.
Akshith UllalIntelligent Clinical Care Center, University of Florida, Gainesville, FL, United States.
Alexandra WatkinsDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, United States.
Mary S DietrichDepartment of Biostatistics, School of Medicine and Nursing, Vanderbilt University, Nashville, TN, United States.
Cathy MaxwellCollege of Nursing, University of Utah, Salt Lake City, UT, United States.
Judith TateCollege of Nursing, Ohio State University, Columbus, OH, United States.
Lisa JuckettSchool of Health and Rehabilitation Sciences, College of Medicine, Ohio State University, Columbus, OH, United States.ORCID https://orcid.org/0000-0002-8587-7172
Lorraine C MionSchool of Health and Rehabilitation Sciences, College of Medicine, Ohio State University, Columbus, OH, United States.
Nilanjan SarkarDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
NICHD NIH HHS P50 HD103537
6 · The paper itself

Abstract

Background and Objectives: Augmented reality (AR) telepresence is a novel interactive communication modality that maps a user's 3D photorealistic avatar to another user's physical environment. However, AR's application with older adult populations is understudied. As such, we examined young and older adults' perceptions of utilizing this modality for social communication. Additionally, we tested the participants' ability to recognize 6 common emotions displayed by 3D photorealistic avatars compared to video clips of real people, examining whether age differences existed in communication perceptions and emotion recognition accuracy. Research Design and Methods: To assess participants' perceptions, older ( Results: Participants reported a positive communication experience with the 3D photorealistic avatar, with older adults rating the quality higher. Ratings were generally lowest for how life-like the model appeared (68% younger adults; 61% older adults). Most younger participants (93%) were able to accurately identify nonverbal emotions displayed by the avatar; older adults had less overall accuracy (80%). Discussion and Implications: Participants, including older adults, were enthusiastic regarding AR telepresence for interpersonal communication. Most were able to accurately identify emotions displayed by the 3D photorealistic avatars, although younger adults outperformed older adults. Further technology development will likely enhance the quality of AR communication for everyday use.

Indexed as

Emotion recognitionHuman-computer interactionSocial presenceTelepresence

Identifiers

PMID41069994
PMCPMC12505127

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.