scholarly journals Validating gameplay activity inventory (GAIN) for modeling player profiles

2018 ◽  
Vol 28 (4-5) ◽  
pp. 425-453 ◽  
Author(s):  
Jukka Vahlo ◽  
Jouni Smed ◽  
Aki Koponen
Keyword(s):  
Player Profiles

Towards a Conceptual Framework of Comprehensive Video Game Player Profiles: Player Models, Mental Models, and Behavior Models

2021 ◽  
Vol 65 (1) ◽  
pp. 807-811
Author(s):  
Jessica Williams ◽  
Rhyse Bendell ◽  
Stephen M. Fiore ◽  
Florian Jentsch
Keyword(s):  
Video Game ◽  
Behavioral Modeling ◽  
Data Driven ◽  
Proof Of Concept ◽  
Component Technique ◽  
Player Profiles ◽  
Game Player ◽  
Video Game Player ◽  
And Behavior ◽  
Behavior Models

Current approaches to player profiling are limited in that they typically employ only a single one of numerous of available techniques shown to have utility for categorizing and explaining player behavior. We propose a more comprehensive Video Game Player Profile Framework that considers the demographic, psychographic, mental model, and behavioral modeling approaches shown to be effective for describing gamer populations. We suggest that our proposed approach can improve the efficacy of video game player profiles by grounding data-driven techniques in game analytics with the theoretical backing of demographic, psychometric, and psychographic measurements. We provide an overview of our proposed framework, discuss the usage and relevance of each component technique, and provide a proof-of-concept demonstration with archived data.

Clustering performance in the European Basketball according to players’ characteristics and contextual variables

2020 ◽  
Vol 15 (3) ◽  
pp. 405-411 ◽  
Author(s):  
Nuno Mateus ◽  
Pedro Esteves ◽  
Bruno Gonçalves ◽  
Ivan Torres ◽  
Miguel Angel Gomez ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Cluster Model ◽  
Archival Data ◽  
Team Composition ◽  
Contextual Variables ◽  
Basketball Players ◽  
Player Profiles ◽  
Performance Profiles ◽  
Game Performance

The aim of this study was two-fold: (i) to identify differences in the game performance profiles of basketball players in Euroleague and European national championships; and (ii) to analyse the influence of player-related (e.g. age or court-position) and contextual variables (e.g. distance travelled or game break) in players’ game-related statistics. Archival data from 2014/2015 and 2015/2016 seasons ( n = 16,268 individual game performance records) of Euroleague and European national championships were separately analyzed using a two-step cluster model and then a discriminant analysis to differentiate the obtained groups. The clustering process allowed identifying three and five different performance player profiles for Euroleague and national championships, respectively. The discriminant analysis identified differences in Euroleague playing profiles, particularly related to performers’ age and court-position. In national championships, this trend was not observed. Regardless of the competition, a relationship was perceived between players’ performance and minutes played; conversely, the players’ performance seems to not be affected by contextual variables. The current results provide evidence of different players’ profiles in elite basketball to coaches regarding the influence of player-related and contextual variables. Coaching staffs may account for this information for better management and understanding of their team composition when playing in different competitions.

Fun and Games: Player Profiles

2015 ◽  
Vol 4 (1-2) ◽  
pp. 31-46
Author(s):  
Rafael Marques de Albuquerque ◽  
Francisco Antonio Pereira Fialho
Keyword(s):  
Player Profiles

scholarly journals Player Profile Management on NFC Smart Card for Multiplayer Ubiquitous Games

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
Romain Pellerin ◽  
Chen Yan ◽  
Julien Cordry ◽  
Eric Gressier-Soudan
Keyword(s):  
Smart Card ◽  
Real World ◽  
Mixed Reality ◽  
Smart Cards ◽  
User Mobility ◽  
Personalized Services ◽  
Player Profiles ◽  
Profile Management ◽  
User Centric ◽  
Personal Content

One of the goals of mixed reality and ubiquitous computing technologies is to provide an adaptable and personal content at any moment, anywhere, and in any context. In Multiplayer Ubiquitous Games (MUGs), players have to interact in the real world at both physical and virtual levels. Player profiles in MUGs offer an opportunity to provide personalized services to gamers. This paper presents a way to manage MUG player profiles on an NFC Smart Card, and proposes a Java API to integrate Smart Cards in the development of MUGs. This user centric approach brings new forms of gameplay, allowing the player to interact with the game or with other players any time and anywhere. Smart Cards should also help improve the security, ubiquity, and the user mobility in traditional MUGs.

High School Rhythm Section

2019 ◽  
pp. 113-122
Author(s):  
Daniel Fabricius
Keyword(s):  
High School ◽  
Music Educators ◽  
School Level ◽  
Self Directed Learning ◽  
High School Level ◽  
Jazz Ensemble ◽  
Player Profiles ◽  
Directed Learning ◽  
Specific Teaching ◽  
Rehearsal Techniques

Today, music educators and students have many resources available to study the specifics of playing any instrument. However, as educators it should be our job to guide students to use their ears along with all of the other resources. This chapter focuses on ways that the jazz ensemble conductor can coach high-school-level rhythm section players to make rehearsals more beneficial to all and to attain more authentic performances. The chapter includes details on various jazz styles, instrument-specific tips, and remedies for common issues within the rhythm section. It is divided into six main sections: (a) player profiles, (b) teaching jazz ensemble concepts, (c) awareness of other players, (d) improvisation, (e) chart reading, and (f) self-directed learning. Readers should find the information in this chapter helpful in developing their own rehearsal techniques that will fit their specific teaching situations.

scholarly journals Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes

2019 ◽  
Vol 16 (24) ◽  
pp. 5090 ◽  
Author(s):  
Julen Castellano ◽  
Miguel Pic
Keyword(s):  
High Pressure ◽  
Team Performance ◽  
Performance Indicators ◽  
Principal Component ◽  
Average Performance ◽  
Player Profiles ◽  
Varied Range ◽  
Direct Attack

The objective was to model the teams’ styles of play (SoPs) in elite football and relate them to the match result. For this, the twenty Spanish first division teams in the 2016–2017 season were analysed, using nine interaction performance indicators (IRi). A principal component (PC) analysis was applied. From two PCs four SoPs were established: deep or high-pressure defending, and elaborate or direct attack. The SoPs were distributed according to average performance obtained throughout the championship. The connection between the preferred SoP and the final result was estimated. Teams with elaborate offensive styles and teams defensively minded got better results. In addition, most of the teams showed variability in their SoP. The applications of the study are (1) the IRi have served to identify SoP and can be used as a reference to optimize team performance; (2) teams should have a varied SoP repertoire, as well as being prepared to deal with different SoPs; (3) particular player profiles should be connected with the desired SoP when creating the squad and (4) clubs should develop a varied range of SoPs at their academies.

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