TY - GEN
T1 - Visual analytics of team performance in online gaming
AU - Mejorado, Denisse Aneth Martinez
AU - Marquez, Jose Emmanuel Ramirez
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - We present a visual analytics approach to explore how successful teams collaborate, attack, and accumulate objectives. We illustrate our contributions with the Multiplayer Online Battle Arena: League of Legends. We developed two visualizations: The first shows collaboration and attack interactions, and how the players' roles are relevant to comprehending these interactions and the accumulation of power (gold) in this context; The second visual illustrates the objectives reached and the game evolution in terms of targets, helping to identify patterns in the sequence of goals. The two visuals designs were produced for each match and were used to be compared in a sample of matches, leading to pattern detection of successful practices. This approach enriches the comprehension of teams' performance in a competition environment and the identification of successful practices in team competition.
AB - We present a visual analytics approach to explore how successful teams collaborate, attack, and accumulate objectives. We illustrate our contributions with the Multiplayer Online Battle Arena: League of Legends. We developed two visualizations: The first shows collaboration and attack interactions, and how the players' roles are relevant to comprehending these interactions and the accumulation of power (gold) in this context; The second visual illustrates the objectives reached and the game evolution in terms of targets, helping to identify patterns in the sequence of goals. The two visuals designs were produced for each match and were used to be compared in a sample of matches, leading to pattern detection of successful practices. This approach enriches the comprehension of teams' performance in a competition environment and the identification of successful practices in team competition.
KW - Competition
KW - Networks
KW - Team performance
KW - Video games
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=85076728714&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076728714&partnerID=8YFLogxK
U2 - 10.1109/SMC.2019.8914387
DO - 10.1109/SMC.2019.8914387
M3 - Conference contribution
AN - SCOPUS:85076728714
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3025
EP - 3030
BT - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Y2 - 6 October 2019 through 9 October 2019
ER -