Evidence map›Paper›PMID 39232140›Full record

ArticleScientific reports2024

Interpersonal strategy for controlling unpredictable opponents in soft tennis.

Yuji Yamamoto, Keiko Yokoyama, Akifumi Kijima, Motoki Okumura, Hiroyuki Shima

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

5 authors.

Yuji YamamotoDepartment of Psychological Sciences, Niigata University of Health and Welfare, Niigata, 950-3098, Japan. yuji-yamamoto@nuhw.ac.jp.
Keiko Yokoyama *Research Center of Health, Physical Fitness, and Sports, Nagoya University, Nagoya, 464-8601, Japan.
Akifumi Kijima *Department of Education, University of Yamanashi, Kofu, 400-0016, Japan.
Motoki Okumura *Faculty of Education, Tokyo Gakugei University, Koganei, 184-8501, Japan.
Hiroyuki Shima *Department of Environmental Sciences, University of Yamanashi, Kofu, 400-0016, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competition in sports, unlike cooperation in everyday life, does not involve a single solution because individuals aim to behave unpredictably, thereby preventing others from predicting their actions. This study determined how individuals in court-based sports attempted to control others' unpredictable behaviors, addressing the gap in previous studies regarding the lack of clarity around strategies employed by individuals in competitive situations. We achieved this by applying a switching hybrid dynamics model, considering external inputs to analyze individual behaviors. Consequently, the study indicates that skilled individuals, in contrast to intermediate players, exhibit greater consistency in their behaviors. These skilled individuals lead others to anticipate their consistency and subsequently employ strategies to disrupt these expectations. This strategy exploits the principles of active human inference, implying that competition involves cooperation. This was revealed by an analysis of both human decision-making and behavior in actual matches as discrete and continuous dynamical systems. This interpersonal strategy could assist policymakers in the field of everyday life to enhance competitiveness. This strategy enables policymakers to adopt new policies that promote cooperation with competitors, ultimately increasing competitiveness in various aspects of our daily lives.

Indexed as

Competitive BehaviorInterpersonal RelationsTennisAdultAthletic PerformanceCooperative BehaviorDecision MakingFemaleHumansMaleYoung Adult

Identifiers

PMID39232140
PMCPMC11375079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.