TY - JOUR
T1 - Turkish Adaptation Study of the Game User Experience Satisfaction Scale
T2 - GUESS-TR
AU - Berkman, Mehmet İlker
AU - Bostan, Barbaros
AU - Şenyer, Seray
N1 - Publisher Copyright:
© 2021 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - Game User Experience Satisfaction Scale (GUESS) is a relatively recent addition to the toolset of game user researchers, and it became one of the most used player experience evaluation methods in recent years. It is originally validated in English to provide a reliable tool for both academics and practitioners in the field to improve the validity and reliability of their research. In Turkey, the developing game industry, and the increased number of attempts in Game User Research demand reliable and valid measurement tools such as GUESS. Therefore, the current study aims to adapt the GUESS into the Turkish language and culture. We translated GUESS into Turkish through a series of expert inspection and back-translation processes. The translated item set is used for the evaluation of four video games in laboratory settings and additional two video games in participants’ residences, due to Covid-19 restrictions. One hundred and twenty-one undergraduate students in the game design field participated in the gameplay sessions for evaluating games using the Turkish version of GUESS. Running a PLS-CFA on 449 responses, we revised the factor structure of GUESS for the Turkish version by splitting the Playability/Usability dimension into two separate factors and excluding four items. We suggest the removal of these items due to two reasons: 1) evaluating games chosen by the authors, and 2) working with an expert participant group, which are different from the volunteering game enthusiasts who evaluated a game of their choice in the original study. Overall, we validated that GUESS is applicable in Turkish to measure the game user experience, although there are minor differences with the original version. We suggest that the original English version may also be revised considering our methodology and findings.
AB - Game User Experience Satisfaction Scale (GUESS) is a relatively recent addition to the toolset of game user researchers, and it became one of the most used player experience evaluation methods in recent years. It is originally validated in English to provide a reliable tool for both academics and practitioners in the field to improve the validity and reliability of their research. In Turkey, the developing game industry, and the increased number of attempts in Game User Research demand reliable and valid measurement tools such as GUESS. Therefore, the current study aims to adapt the GUESS into the Turkish language and culture. We translated GUESS into Turkish through a series of expert inspection and back-translation processes. The translated item set is used for the evaluation of four video games in laboratory settings and additional two video games in participants’ residences, due to Covid-19 restrictions. One hundred and twenty-one undergraduate students in the game design field participated in the gameplay sessions for evaluating games using the Turkish version of GUESS. Running a PLS-CFA on 449 responses, we revised the factor structure of GUESS for the Turkish version by splitting the Playability/Usability dimension into two separate factors and excluding four items. We suggest the removal of these items due to two reasons: 1) evaluating games chosen by the authors, and 2) working with an expert participant group, which are different from the volunteering game enthusiasts who evaluated a game of their choice in the original study. Overall, we validated that GUESS is applicable in Turkish to measure the game user experience, although there are minor differences with the original version. We suggest that the original English version may also be revised considering our methodology and findings.
UR - http://www.scopus.com/inward/record.url?scp=85121381958&partnerID=8YFLogxK
U2 - 10.1080/10447318.2021.1987679
DO - 10.1080/10447318.2021.1987679
M3 - Article
AN - SCOPUS:85121381958
SN - 1044-7318
VL - 38
SP - 1081
EP - 1093
JO - International Journal of Human-Computer Interaction
JF - International Journal of Human-Computer Interaction
IS - 11
ER -