Supporting Online Game Players by the Visualization of Personalities and Skills Based on in-Game Statistics

Tatsuro Ide, Hiroshi Hosobe

2023

Abstract

Although the COVID-19 pandemic has increased people demanding to play online cooperative games with others, in-game random team matching has not fully supported it. Furthermore, toxic behaviors such as verbal abuse and trolling by randomly gathered team members adversely affect user experience. Public Discord servers and game-specific team matching services are often used to support this problem from outside the game. However, in both services, players can obtain only a few lines of other players’ self-introductions before playing together, and therefore their anxiety about possible mismatches is a major obstacle to the use of these services. In this paper, we aim to support team matching in an online cooperative game from both aspects of players’ personalities and skills. Especially, we perform team member recommendation based on the visualization of in-game statistical information by computing players’ personalities and skills from their game masteries and character preferences in a typical game called VALORANT.

Paper Citation

in Harvard Style

Ide T. and Hosobe H. (2023). Supporting Online Game Players by the Visualization of Personalities and Skills Based on in-Game Statistics. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP; ISBN 978-989-758-634-7, SciTePress, pages 259-266. DOI: 10.5220/0011784000003417

in Bibtex Style

@conference{hucapp23,
author={Tatsuro Ide and Hiroshi Hosobe},
title={Supporting Online Game Players by the Visualization of Personalities and Skills Based on in-Game Statistics},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP},
year={2023},
pages={259-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011784000003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP
TI - Supporting Online Game Players by the Visualization of Personalities and Skills Based on in-Game Statistics
SN - 978-989-758-634-7
AU - Ide T.
AU - Hosobe H.
PY - 2023
SP - 259
EP - 266
DO - 10.5220/0011784000003417
PB - SciTePress