TY - GEN
T1 - Designing prototype player personas from a game preference survey
AU - Salminen, Joni
AU - Vahlo, Jukka
AU - Koponen, Aki
AU - Jung, Soon Gyo
AU - Chowdhury, Shammur A.
AU - Jansen, Bernard J.
N1 - Publisher Copyright:
© 2020 Owner/Author.
PY - 2020/4/25
Y1 - 2020/4/25
N2 - The competitiveness of the video game market has increased the need for understanding players. We generate player personas from survey data of 15,402 players' 195,158 stated game preferences from 130,495 game titles using the methodology of automatic persona generation. Our purpose is to demonstrate the potential of data-driven personas for segmenting players by their game preferences. The resulting prototype personas provide potential value for game marketing purposes, e.g., targeting gamers with social media advertising, although they can also be used for understanding demographic variation among various game preference patterns.
AB - The competitiveness of the video game market has increased the need for understanding players. We generate player personas from survey data of 15,402 players' 195,158 stated game preferences from 130,495 game titles using the methodology of automatic persona generation. Our purpose is to demonstrate the potential of data-driven personas for segmenting players by their game preferences. The resulting prototype personas provide potential value for game marketing purposes, e.g., targeting gamers with social media advertising, although they can also be used for understanding demographic variation among various game preference patterns.
UR - http://www.scopus.com/inward/record.url?scp=85090230777&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090230777&partnerID=8YFLogxK
U2 - 10.1145/3334480.3382785
DO - 10.1145/3334480.3382785
M3 - Conference contribution
AN - SCOPUS:85090230777
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Y2 - 25 April 2020 through 30 April 2020
ER -