Predicting Player Disengagement in Online Games

2014 ◽  
pp. 133-149 ◽  
Author(s):  
Hanting Xie ◽  
Daniel Kudenko ◽  
Sam Devlin ◽  
Peter Cowling
Keyword(s):  
Online Games

Using Massive Multiplayer Online Games in Telehealth

2010 ◽  
Author(s):  
Andrea Gaggioli ◽  
Alessandra Gorini ◽  
Giuseppe Riva
Keyword(s):  
Online Games ◽  
Multiplayer Online Games ◽  
Massive Multiplayer Online Games

High School Students Understanding of the Risks of Online Game Addiction

10.32698/0772 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 113
Author(s):  
Eryzal Novrialdy ◽  
Herman Nirwana ◽  
Riska Ahmad
Keyword(s):  
High School ◽  
High School Students ◽  
School Counselors ◽  
Sampling Technique ◽  
Online Games ◽  
Average Score ◽  
Online Game ◽  
School Students ◽  
Game Addiction ◽  
Use Of Technology

Adolescents are currently in the midst of technological sophistication, which is very helpful for its development. On the other hand, many adolescents are trapped in the problem of technology addiction. Adolescents are the most age group who experience problems with the use of technology, including online games. Online game addiction is the loss of control over the use of online games, which makes other daily activities are disrupted. Online game addiction in adolescents have an impact on several aspects of life, such as health aspects, psychological aspects, academic aspects, social aspects, and financial aspects. Lack of understanding about the risks of online game addiction can get adolescent stuck in online game addiction. This research aims to describe high school students understanding about the risks of online game addiction. The sample consisted of 255 high school students selected by proportional random sampling technique. Data was collected using a scale measuring understanding of the risks of online game addiction. Data analysis used a quantitative approach with descriptive methods. The results showed that high school students understanding about the risks of online game addiction was included in the moderate category with an average score of 198,48 and an achievement score level of 55,14%. Therefore, school counselors must to improve high school students understanding of the risks of online game addiction.

scholarly journals Faithfulness-boost effect: Loyal teammate selection correlates with skill acquisition improvement in online games

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0211014 ◽  
Author(s):  
Gustavo Landfried ◽  
Diego Fernández Slezak ◽  
Esteban Mocskos
Keyword(s):  
Skill Acquisition ◽  
Online Games

Are Online Games a Blessing or Evil? The Moderating Role of Self-worth

2021 ◽  
pp. 100915
Author(s):  
Jinqi Ding ◽  
Renjie Shan ◽  
Minxiong Chenmeng ◽  
Mengjie Tu ◽  
Quanlei Yu ◽  
...  
Keyword(s):  
Online Games ◽  
Self Worth ◽  
Moderating Role

scholarly journals Recognizing Affiliation: Using Behavioural Traces to Predict the Quality of Social Interactions in Online Games

2020 ◽  
Author(s):  
Julian Frommel ◽  
Valentin Sagl ◽  
Ansgar E. Depping ◽  
Colby Johanson ◽  
Matthew K. Miller ◽  
...  
Keyword(s):  
Social Interactions ◽  
Online Games

Using User Experience Scales to Predict Video Game Play and Purchasing Intent

2020 ◽  
Vol 64 (1) ◽  
pp. 2065-2069
Author(s):  
William J. Shelstad ◽  
Ameer A. Hosein ◽  
Joseph R. Keebler ◽  
Barbara S. Chaparro
Keyword(s):  
User Experience ◽  
Video Game ◽  
Purchase Intention ◽  
Online Games ◽  
Continuance Intention ◽  
Game Play ◽  
Video Game Play ◽  
Purchasing Intention

The current study investigated three user experience scales, the GUESS-24, the ENJOY, and the UEQ-S scale, as well as their relationship to gameplay continuance and purchasing intention for six popular online games. Results indicated that each of the three scales (GUESS-24, ENJOY, UEQ-S) could be used to predict continuance and purchase intention in the games of interest. The ENJOY and GUESS-24 performed better in predicting continuance intention than the UEQ-S. The GUESS-24 performed the best in terms of predicting purchase intention.

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