research-article

Micro-level Data Analysis and Visualization of the Interrelation Between Confidence and Athletic Performance

Authors:

Shiraj Pokharel,

Ying ZhuAuthors Info & Claims

CSSE '19: Proceedings of the 2nd International Conference on Computer Science and Software Engineering

Pages 67 - 72

https://doi.org/10.1145/3339363.3339376

Published: 24 May 2019 Publication History

Abstract

Studies in sport psychology have shown that confidence is one of the most critical mental skill for elite athletes. In this paper, we present a method to analyze and visualize the interrelation between confidence and athletic performance in professional tennis matches. Specifically, we have developed a method to estimate the relative confidence level of a tennis player based on his/her micro-level performance success. Our program then analyzes the interrelation between the athlete's relative confi- dence level with the player's subsequent performance metrics, such as unforced errors, forced errors, winners, serve directions, first-serve faults, double faults, aces, and rally lengths.

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Cited By

Vincze AIliescu DJurchiș R(2022)Quiet Eye supports winner shots in a simulated table tennis competitionScandinavian Journal of Medicine & Science in Sports10.1111/sms.1428933:5(631-640)Online publication date: 30-Dec-2022
https://doi.org/10.1111/sms.14289
Pokharel SZhu Y(2019)Tactical Rings: A Visualization Technique for Analyzing Tactical Patterns in TennisAdvances in Visual Computing10.1007/978-3-030-33723-0_39(481-491)Online publication date: 7-Oct-2019
https://dl.acm.org/doi/10.1007/978-3-030-33723-0_39

Index Terms

Micro-level Data Analysis and Visualization of the Interrelation Between Confidence and Athletic Performance
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization
      2. Visual analytics

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cover image ACM Other conferences

CSSE '19: Proceedings of the 2nd International Conference on Computer Science and Software Engineering

May 2019

202 pages

ISBN:9781450371728

DOI:10.1145/3339363

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Research Center for Science and Technology for Learning, National Central University, Taiwan

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New York, NY, United States

Publication History

Published: 24 May 2019

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CSSE 2019

CSSE 2019: 2019 2nd International Conference on Computer Science and Software Engineering

May 24 - 26, 2019

Xi'an, China

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CSSE '19 Paper Acceptance Rate 33 of 74 submissions, 45%;

Overall Acceptance Rate 33 of 74 submissions, 45%

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Cited By

Vincze AIliescu DJurchiș R(2022)Quiet Eye supports winner shots in a simulated table tennis competitionScandinavian Journal of Medicine & Science in Sports10.1111/sms.1428933:5(631-640)Online publication date: 30-Dec-2022
https://doi.org/10.1111/sms.14289
Pokharel SZhu Y(2019)Tactical Rings: A Visualization Technique for Analyzing Tactical Patterns in TennisAdvances in Visual Computing10.1007/978-3-030-33723-0_39(481-491)Online publication date: 7-Oct-2019
https://dl.acm.org/doi/10.1007/978-3-030-33723-0_39

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