Evidence map›Paper›PMID 32824253›Full record

ArticleSensors (Basel, Switzerland)2020

How Do Runners Experience Personalization of Their Training Scheme: The Inspirun E-Coach?

Mark Janssen, Jos Goudsmit, Coen Lauwerijssen, Aarnout Brombacher, Carine Lallemand, Steven Vos

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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

6 authors.

Mark JanssenSchool of Sport Studies, Fontys University of Applied Science, 5644 HZ Eindhoven, The Netherlands.ORCID 0000-0002-4151-6906
Jos GoudsmitSchool of Sport Studies, Fontys University of Applied Science, 5644 HZ Eindhoven, The Netherlands.ORCID 0000-0001-9800-0188
Coen Lauwerijssen2M Engineering Ltd., 5555 XC Valkenswaard, The Netherlands.
Aarnout BrombacherDepartment of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Carine LallemandDepartment of Industrial Design, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.ORCID 0000-0003-2048-7947
Steven VosSchool of Sport Studies, Fontys University of Applied Science, 5644 HZ Eindhoven, The Netherlands.ORCID 0000-0002-7865-0965

Funding

Netherlands Organization for Scientific Research 023.007.056
6 · The paper itself

Abstract

Among runners, there is a high drop-out rate due to injuries and loss of motivation. These runners often lack personalized guidance and support. While there is much potential for sports apps to act as (e-)coaches to help these runners to avoid injuries, set goals, and maintain good intentions, most available running apps primarily focus on persuasive design features like monitoring, they offer few or no features that support personalized guidance (e.g., personalized training schemes). Therefore, we give a detailed description of the working mechanism of Inspirun e-Coach app and on how this app uses a personalized coaching approach with automatic adaptation of training schemes based on biofeedback and GPS-data. We also share insights into how end-users experience this working mechanism. The primary conclusion of this study is that the working mechanism (if provided with accurate data) automatically adapts training sessions to the runners' physical workload and stimulates runners' goal perception, motivation, and experienced personalization. With this mechanism, we attempted to make optimal use of the potential of wearable technology to support the large group of novice or less experienced runners and that by providing insight in our working mechanisms, it can be applied in other technologies, wearables, and types of sports.

Indexed as

RunningAdaptation, PhysiologicalFemaleHumansMaleMentoringMotivationWorkloadappe-coachingexperienceheart ratepersonalizationRPErunningtailoringtrainingworkload

Identifiers

PMID32824253
PMCPMC7472115

What OpenQuestion holds

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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.