There is little doubt that video game playing is a psychological and social phenomenon. This paper outlines the main structural characteristics of video game playing (i.e., those characteristics that either induce gaming in the first place or are inducements to continue gaming irrespective of the individual's psychological, physiological, or socio-economic status). This online study is the first ever to assess what structural characteristics (if any) are important to a group of self-selected video game players (n = 382). The main variables examined were sound, graphics, background and setting, duration of game, rate of play, advancement rate, use of humor, control options, game dynamics, winning and losing features, character development, brand assurance, and multi-player features. Although there were many major gender differences, one of the main overall findings was the importance of a high degree of realism (i.e., realistic sound, graphics, and setting). Other important characteristics included a rapid absorption rate, character development, the ability to customize the game, and multiplayer features. Suggestions for future research are outlined.
This paper argues that the recent concerns about video game "addiction" have been based less on scientific facts and more upon media hysteria. By examining the literature, it will be demonstrated that the current criteria used for identifying this concept are both inappropriate and misleading. Furthermore, by presenting four case studies as examples it will be demonstrated how such claims of video game addiction can be inaccurately applied. It is concluded that the most likely reasons that people play video games excessively are due to either ineffective time management skills, or as a symptomatic response to other underlying problems that they are escaping from, rather than any inherent addictive properties of the actual games.
Escape was the prime characteristic of the gambling experience that facilitated the continuation of problem gambling among the interviewed participants. In relation to these findings, the implications for prevention, intervention, treatment and future research are discussed.
To date there has been very little empirical research into Internet gambling and none relating to the recent rise in popularity of online poker. Given that recent reports have claimed that students may be a vulnerable group, the aim of the current study was to establish basic information regarding Internet poker playing behavior among the student population, including various motivators for participation and predictors of problematic play. The study examined a self-selected sample of student online poker players using an online survey (n ϭ 422). Results showed that online poker playing was undertaken at least twice per week by a third of the participants. Almost one in five of the sample (18%) was defined as a problem gambler using the DSM-IV criteria. Findings demonstrated that problem gambling in this population was best predicted by negative mood states after playing, gender swapping whilst playing, and playing to escape from problems.
To date, little empirical research has focused on social responsibility in gambling. This study examined players' attitudes and behavior toward using the social responsibility tool PlayScan designed by the Swedish gaming company Svenska Spel. Via PlayScan, players have the option to utilize various social responsibility control tools (e.g., personal gaming budgets, self-diagnostic tests of gambling habits, self-exclusion options). A total of 2,348 participants took part in an online questionnaire study. Participants were clientele of the Svenska Spel online gambling Web site. Results showed that just over a quarter of players (26%) had used PlayScan. The vast majority of those who had activated PlayScan (almost 9 in 10 users) said that PlayScan was easy to use. Over half of PlayScan users (52%) said it was useful; 19% said it was not. Many features were seen as useful by online gamblers, including limit setting (70%), viewing their gambling profile (49%), self-exclusion facilities (42%), self-diagnostic problem gambling tests (46%), information and support for gambling issues (40%), and gambling profile predictions (36%). In terms of actual (as opposed to theoretical) use, over half of PlayScan users (56%) had set spending limits, 40% had taken a self-diagnostic problem gambling test, and 17% had used a self-exclusion feature.
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