Evidence map›Paper›PMID 39649296›Full record

ArticleDigital health

Exploring user engagement with real-time verbal feedback from an exoskeleton-based virtual exercise coach.

Raju Maharjan, Sanjana Mendu, Milton Mariani, Saeed Abdullah, John Paulin Hansen

Abstract read
In one paragraph

Article in Digital health. 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. Review
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

5 authors.

Raju MaharjanThe University of Oklahoma - Norman Campus, Norman, USA.ORCID https://orcid.org/0000-0002-9031-3937
Sanjana MenduDepartment of Informatics, Pennsylvania State University, University Park, PA, USA.
Milton MarianiTechnical University of Denmark, Lyngby, Hovedstaden Denmark.
Saeed AbdullahDepartment of Informatics, Pennsylvania State University, University Park, PA, USA.
John Paulin HansenTechnical University of Denmark, Lyngby, Hovedstaden Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Engaging users during physical exercise is crucial for fostering long-term commitment, however, sustaining that engagement remains a significant challenge. This study explores the design of a voice-enabled exoskeleton-based virtual exercise coach (VEC) that provides real-time verbal feedback to enhance user engagement. The objectives of this study are twofold: (i) to compare user engagement with real-time verbal feedback from both VEC and human exercise coach (HEC) during physical exercise, and (ii) to understand users' perceptions and gather their recommendations for improving future VEC technologies. Methods: We developed an exoskeleton-based VEC that delivers real-time verbal feedback on users' exercise performance. To evaluate its impact on user engagement, we conducted a lab-based mixed-methods study ( Results: Participants in this study found the VEC more engaging than the HEC, in terms of focused attention ( Conclusion: Based on our results, we discuss the challenges and implications for designing future voice-enabled VECs that support engaging physical exercises.

Indexed as

Conversational agentsengagementexoskeletonnatural language interfacereal-time feedbackspeech recognitionuser experiencevirtual exercise coach

Identifiers

PMID39649296
PMCPMC11622306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.