TY - GEN
T1 - Analysing player performance with animated maps
AU - Goncalves, Tiago
AU - Vieira, Pedro
AU - Afonso, Ana Paula
AU - Carmo, Maria Beatriz
AU - Moucho, Tiago
N1 - Funding Information:
This work was supported by FCT (Portuguese Science and Technology Foundation) through founding of LASIGE Research Unit, ref. UID/CEC/00408/2013 and BioISI Research Unit, ref. UID/MULTI/04046/2013. The authors are also thankful to the volunteers that participated in the user study.
Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/12/5
Y1 - 2018/12/5
N2 - Over the last years, with the increasing use of telemetry techniques, the extraction of data from video games became a much easier and reliable task. Among many types of video games, MOBAs (Multiplayer Online Battle Arena) are one of the most widely played and, consequently, the analysis of game events has received attention of players, spectators, coaches and analysts to assess the performance of players. This data can range from players' position, to more specific events, such as, the position of a player's death. Our main goal is to get a better understanding of which techniques are more adequate to handle the visualization of this type of spatio-Temporal information data, associated to player performance analysis in video games. This paper addresses this problem presenting a user study to evaluate the adequacy of animated maps and the analytical strategies followed by players when using spatio-Temporal data to analyse player performance. To support the user study, we developed the VisuaLeague prototype for the visualization of in-game player trajectories and events during a match in the MOBA game League of Legends. The results support the adequacy of using the animated maps technique to convey information to users in this context. Moreover, they also point out towards a high degree of importance given to the spatio-Temporal components of the data for player performance analysis.
AB - Over the last years, with the increasing use of telemetry techniques, the extraction of data from video games became a much easier and reliable task. Among many types of video games, MOBAs (Multiplayer Online Battle Arena) are one of the most widely played and, consequently, the analysis of game events has received attention of players, spectators, coaches and analysts to assess the performance of players. This data can range from players' position, to more specific events, such as, the position of a player's death. Our main goal is to get a better understanding of which techniques are more adequate to handle the visualization of this type of spatio-Temporal information data, associated to player performance analysis in video games. This paper addresses this problem presenting a user study to evaluate the adequacy of animated maps and the analytical strategies followed by players when using spatio-Temporal data to analyse player performance. To support the user study, we developed the VisuaLeague prototype for the visualization of in-game player trajectories and events during a match in the MOBA game League of Legends. The results support the adequacy of using the animated maps technique to convey information to users in this context. Moreover, they also point out towards a high degree of importance given to the spatio-Temporal components of the data for player performance analysis.
KW - Animated maps
KW - Spatial-Temporal visualization
KW - Trajectory analysis
UR - http://www.scopus.com/inward/record.url?scp=85060174186&partnerID=8YFLogxK
U2 - 10.1109/iv.2018.00028
DO - 10.1109/iv.2018.00028
M3 - Conference contribution
AN - SCOPUS:85060174186
T3 - Information Visualisation - Biomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging, IV 2018
SP - 110
EP - 116
BT - Information visualisation - Biomedical visualization, visualisation on built and rural environments and geometric modelling and imaging, IV 2018
A2 - Pires, Joao Moura
A2 - Datia, Nuno Miguel Soares
A2 - Polese, Giuseppe
A2 - Temperini, Marco
A2 - Sciarrone, Filippo
A2 - Risi, Michele
A2 - Venturini, Gilles
A2 - Di Mascio, Tania
A2 - Zaccagnino, Rocco
A2 - Deufemia, Vincenzo
A2 - Malandrino, Delfina
A2 - Diaz, Paloma
A2 - Anta, Antonio Fernandez
A2 - Banissi, Ebad
A2 - Wyeld, Theodor G.
A2 - Sarfraz, Muhammad
A2 - Bouali, Fatma
A2 - Bannatyne, Mark W. McK.
A2 - Papadopoulo, Fragkiskos
A2 - Erra, Ugo
A2 - Rossano, Veronica
A2 - Ursyn, Anna
A2 - Cuzzocrea, Alfredo
A2 - Francese, Rita
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference Information Visualisation - Biomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging, IV 2018
Y2 - 10 July 2018 through 13 July 2018
ER -