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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Online poker is one of the fastest growing forms of online gambling yet there has been relatively little research to date. This study comprised 422 online poker players (362 males and 60 females) and investigated some of the predicting factors of online poker success and problem gambling using an online questionnaire. Results showed that length of time as a player was positively correlated with the number of days playing per year, length of poker sessions, and financial success. However, length of time playing did not correlate with either score on DSM-IV problem gambling criteria or perceived skill. Using a stepwise multiple regression, predictors of winning play and financial success among the online players were examined. Those players who were more likely to have financial success were: (1) disciplined and avoided spending over their monthly gambling budget; (2) played at higher stake levels; (3) did not over-estimate the skill involved in poker; and (4) perceived themselves to be more skilful. A further multiple regression examined predictors of problem gambling. Results showed that problem online poker players were (1) more likely to swap genders when playing online; (2) undisciplined and spent over their allocated budget; and (3) played more frequently for longer periods of time. Even though there is some skill involved in poker, skill was not a predictor in problem gambling. These results are discussed along with implications from the findings for key stakeholders (i.e., the players, gaming industry, policy makers and researchers).

Over the past three decades, a number of authors have examined the role of structural characteristics as they appear to be important in the acquisition, development and maintenance of gambling behaviour. Furthermore, it has been argued that fruit machine gambling features more gambling-inducing structural characteristics than all other forms of gambling. However, it is clear that previous overviews in this area are now out of date in a number of key areas. This paper therefore reviews the changes in structural characteristics of the fruit machine over the last decade. Important changes in the structural characteristics of fruit machines will be discussed focusing on the small changes to established structural characteristics (e.g., the near miss, sound effects, light effects, colour effects, event frequencies etc.) as well as a more speculative examination of new and contemporary characteristics such as the importance of Bfeatures^and the psychology of familiarity.