To read a comprehensive review of each key study, simply click on each study’s citation:
Flow in RecreationAbuhamdeh, S., & Csikszentmihalyi, M. (2012). The importance of challenge for the enjoyment
of intrinsically motivated, goal-directed activities. Personality and Social Psychology Bulletin, 38(3), 317-330.
Intro: Although preliminary, interview-based analyses of the enjoyment of intrinsically-motivated, goal-directed activities (e.g. chess, rock climbing, art making) suggested the importance of relatively difficult, “optimal” challenges, subsequent research of a wider breadth of activities suggests otherwise. Previous research has measured both perceptions of challenge as well as perceptions of skill, where perceptions of skill were positively correlated with enjoyment, but perceptions of challenge had zero-order correlations (Chen, Darst, & Pangrazi, 2001; Hektner, 1996; Moneta & Csikszentmihalyi, 1996; Shernoff et al., 2003). Two studies were conducted to defragment the relationship between challenge and enjoyment: Study 1 focused on a single activity (Internet chess) and Study 2 used the experience sampling method to examine enjoyment of challenge across a range of everyday activities. This work has been chosen as a key study in the literature as it identifies challenging activities that do and do not induce flow in daily life.
Method: Study 1 examined the relation between challenge and enjoyment in exemplary autotelic activity, where the importance of challenge was expected to manifest at both subjective and objective levels. Adult participants (N= 121, 14 withdrew throughout) played real-time online chess for a two week study period, completing an online survey of enjoyment, perceived challenge, etc. following each game. Participants were all students ranging from 6th to 12th grade.
Due to the observational nature of the design, controlling all potential confounds was impossible. Data were represented in a two-level, hierarchical structure: games (Level 1) nested within players (Level 2). Results showed a strong correlation between challenge and enjoyment for experienced chess players. Theses results suggest that variations of enjoyment for autotelic activities are more tied to process-based characteristics of the game (e.g. level of challenge, immediacy of feedback, nature of goals, etc.) rather than preceding events or outcomes of the game.
Study 2 tested the assumption of Study 1—that challenge is most enjoyable in the context of activities that are both intrinsically motivated and goal directed—by examining the challenge-enjoyment relation in daily activities that varied in both activity motivation and activity type. Data from Year 1 of the Sloan Study of Youth and Social Development was analyzed for Study 2. Participants (N= 1,109) were prompted 8 times per day for 7 days to complete and Experience Sampling Form to assess subjective and objective experience on enjoyment, perceived challenge, and perceived skill measures.
Again, hierarchical linear modeling was used to test activity of motivation as a moderator of the challenge enjoyment relationship. In these analyses, intrinsically motivated, goal-directed observations ( n = 1,145) were compared with non-intrinsically motivated, goal-directed observations (n = 1,860). Results showed that enjoyment in a challenge is moderated by intrinsic motivation: participants found more enjoyment in intrinsically motivated, goal-directed activities versus non-intrinsically motivated, goal-directed activities (e.g. tests or assignments).
Discussion: Both studies support that, for autotelic activities, perceived challenge was a stronger predictor of enjoyment than perceived skill. Results of Experiment 1 showed a strong positive correlation between perceived challenge and enjoyment (r = .68), exceeding the correlation between perceived skill and enjoyment (r = .51). These results could be explained by the cognitive evaluation theory, as the theory posits that enjoyment of challenge is rooted in perceptions of competence. Study 2 began to address the heterogeneity apparent in the relation between challenge and enjoyment across activities. Consistent with previous studies, participants chose more challenging activities when they were framed as games rather than tests or assignments. The overarching impact of this study expresses the need for further research to consider the motivational contexts of activities and the nature of the activities themselves. Such consideration will help researchers understand how to create situations in everyday life that provide the types of experiences found in flow-generating challenges.
Aherne, C., Moran, A. P., & Lonsdale, C. (2011). The effect of mindfulness training on athletes' flow: an initial investigation. Sport Psychologist, 25(2), 177-189.
Intro: This study examined the relationship between mindfulness training and flow experiences in 13 university athletes (M= 21 years). Participants were randomly assigned to control and experimental groups, and flow experiences were assessed before and after the intervention. Mindfulness was chosen as a strategy to enhance concentration—the ability to focus on the task at hand while ignoring distractions—and better athletic performance (Moran 2009). Mindfulness differs from other cognitive control techniques by urging acceptance rather than suppression or elimination of distracting or unwanted thoughts and emotions (Bowen, Witkiewitz, Dillworth, & Marlatt, 2007; Kavanagh, Andrade, & May 2004). Emphasis on somatic awareness is another critical component of mindfulness; however, the relationship between mindfulness training and the attention strategy of association is not well-defined. Former research suggests that, when athletes employ mindfulness in a competitive setting, focus on the present moment rather that the future has a positive effect on performance. However, research examining the causal effect of mindfulness training and flow experiences in athletes is lacking. The present study hypothesized that athletes who participated in a mindfulness training program would experience greater flow that they experienced previously. It was also predicted that mindfulness-trained athletes would experience greater flow than athletes in the control group. This study has been identified as key research in the flow literature because it considers the cultivation of flow as a performance-enhancing technique for athletes. This work offers additional insight into athletic training programs that strive to better performance and well-being.
Method: Participants included 13 athletes (M = 21 years, SD= 1.68 years, range 19-25 years) from a University “High Performance Centre.” At the time of the study, participants had been participating in their respective sports for an average of 8.69 years (SD = 2.43). The Flow State Scale (FSS-2) was used to measure athletes’ flow experiences during training—a novel context in comparison to sport performance situations which prior research has examined. Each participant completed the FFS-2 immediately following their training session. The Cognitive and Affective Mindfulness Scale—Revised (CAMS-R) was used to measure athletes’ mindful approaches to thoughts and feelings.
Participants were stratified by sport and gender before being randomly assigned to either the experimental (n= 6) or control (n= 7) condition. All subjects completed the preliminary CAMS-R at home while the first FFS-2 questionnaire was completed following the first practice. After collecting these measures, athletes in the experimental group began mindfulness training, which featured Jon Kabat-Zinn’s literature and coauthored CD, “Guided Meditation Practices.” The CD was used to guide athletes through the six-week intervention, and four exercises were emphasized: “Breath,” “Breath and Body,” “Standing Yoga,” and “Body Scan.” Participants were each provided a calendar of their exercises to use as tools to track progress. Additionally, the athletes received daily text message reminders to complete their mindfulness exercise. Participants in the control condition were not provided any additional instruction or attention by experimentors.
At the end of six weeks, all participants completed follow up CAMS-R and FSS-2 measures. Notably, the experimental group completed the FSS-2 after a training session of similar intensity to the session of the first week to reduce unwanted error variance.
Results: Preliminary analyses featured a manipulation check using a 2 x 2 repeated-measures ANOVA, with “time” as the within-subject factor and “group” as the between-subject factor. A participant’s score on the CAMS-R served as the dependent variable for this test. This analysis did not yield a significant main effect of group, F (1,11) = .91, p = .36, or time, F (1,11) = 3.72, p > .05, but a significant group X time interaction, F (1,11) = 7.95, p < .05, partial h2 = .41. Although t-tests indicated no significant difference (p > .05) between baseline CAMS-R scores of control and experimental groups, a significant difference was observed in follow-up testing. The increase in mindfulness scores from Time 1 to Time was large (p < .01, d = 1.13, where an effect size greater than 0.8 is “large;” see McCartney & Rosenthal, 2000) in the experimental group; however, changes in mindfulness scores were insignificant for the control group (p > .05).
Main analyses featured a similar 2 x 2 ANOVA, where FSS-2 global scores represented that dependent variable. No significant main effects were observed for group, F (1,11) = 1.44, p > .05, but time did show a significant main effect, F (1,11) = 9.72, p < .05. There was a significant group x time interaction, F (1,11) = 11.49, p < .05, partial h2 = .51. As in the manipulation check, follow-up t-tests did not indicate a significant difference in the baseline FSS-2 global scores of the experiemental and control groups; however, a large difference was observed in follow-up scores (p < .05, d = 1.66). The increase in FSS-2 scores from Time 1 to Time 2 of the experimental group was large (p < .01, d = 1.56) while the increase in control scores was nonsignificant (p > .05).
Separate repeated-measures ANOVAs were then conducted for each of the nine FSS-2 subscale scores to represent the nine dimensions of flow (Jackson, 1995). Significant interaction effects were observed for two dimensions (“Clear Goals,” and “Sense of Control”), where follow-up t-tests revealed significant differences between experimental and control group scores on the “Clear Goals,” “Sense of Control,” and “Unambiguous Feedback” subscales (d > 1). Post hoc analyses of “Clear Goals” and “Sense of Control” data indicated large changes in subscale scores from Time 1 to Time 2 (p < .01, d > 1.4). Similarly, changes in “Unambiguous Feedback” scores were moderate (d = .61) and marginally significant (p = .11) in the experimental group. All changes were nonsignificant in the control group (p > .05).
Interestingly, repeated-measures ANOVAs of the other six FSS-2 subscales reported nonsignificant group x time interactions (p > .10), suggesting that mindfulness training had not produced changes in these flow dimensions.
Discussion: Results of the present study sheds light on the effect of mindfulness training on athletes’ flow experiences during competitive sport training. Both the significant increase in global flow scores and the sizeable increases in the flow dimensions of clear goals and sense of control support the effectiveness of the six-week mindfulness training intervention. Results offer promising evidence for sport psychology practitioners interested in improving flow among athletes. Limitations of the study should not be overlooked, however, as the small sample size increases the possibility of Type II error, and the omission of a distractor task for the control group . The latter fails to eliminate the possibility that the experimental group’s increases in flow scores were not, at least partly, due to effects of increased attention from the experimentors. Future directions are urged to investigate how, when, and for whom mindfulness interventions are most effective while further defragmenting the mechanisms underlying the effects of mindfulness training on athletic performance.
Partington, S., Partington, E., & Olivier, S. (2009). The dark side of flow: A qualitative study of dependence in big wave surfing. Sport Psychologist. 23 (2).
Intro: Within sport psychology, flow is regarded as an optimal state underpinning peak performance; however, experiencing flow may have undesirable consequences, including dependence on the flow-inducing experience. Csikszentmihalyi (2002) lent support to the argument of addictive properties of flow, explaining that “the self becomes captive of a certain kind of order, and is then unwilling to cope with the ambiguities of life.” Such desires can cause an individual to become driven to perpetually seek the recreation of flow. Specifically regarding flow and exercise, Hausenblaus and Downs (2002) claimed that evidence of three or more of the seven following features would qualify as exercise dependence: tolerance, withdrawal, intention effects, loss of control, conflict, time, and continuance. The present study explored the positive and negative outcomes of flow in big wave surfing–a high risk sport likely to induce flow. The work of Partington & Oliver has been identified as a key study because it considers potential maladaptive behaviors related to flow.
Method: The present study investigated the dichotomous outcomes of flow through case studies of big wave surfers (N = 15; 12 men) who completed in-depth, semi-structured interviews. Interviews ranged from 1 to 2 hours in length, and they were conducted in Hawaii and South Africa at the peak of big wave surfing season(s). The semi-structured format allowed participants to discuss their perception of risk/danger, experiences of flow, motives for both initial and continued participation, as well as the transition from small-wave surfing to larger waves.
Following transcription of the interviews, data were analyzed for emerging categories and themes. Categories were derived from the transcriptions, and, although the study does not claim direct measure, results suggest prevalence of both positive and dependent consequences of surfers’ flow experiences. A causal relationship between flow and dependence is not claimed, yet suggestion of an association is reasonable.
Discussion: Findings support the potential addictive qualities of flow; however, susceptibility to flow-induced dependence in the context of sport and leisure activities should be further examined. Some surfers interviews suggested that they were controlled by their surfing, which would be classified as a negative dependence on surfing. Others claimed to be unable to function “normally” in society due to their involvement with surfing, leading to some suggestion that individual differences in personality may make big wave surfers susceptible to dependence. The qualitative methods used in this study do not permit the establishment of a relationship; effectively, future research should consider reliable quantitative methods of assessment when assessing positive and negative outcomes of flow.
Tsaur, Yen, & Hsiao (2013): Transcendent Experience, Flow, and Happiness for Mountain Climbers
Method: After a pre-test, mountain climbers (N= 50) completed a formal onsite survey immediately upon completing a climb of over 3000m at the Shei-Pa National Park’s Syue Mountain Trail in Taiwan. 339 valid samples were collected, and flow was measured using the Flow State Scale, which contained 36 items that comprised Csikszentmihalyi’s 9 dimensions, on a Likert scale (1= “strongly disagree” to 5= “strongly agree”). Happiness was measured with the Personal Expressive Activity Questionnaire, which addressed both the eudaimonia and hedonic dimensions of happiness. Scores were, again, recorded on a Likert scale.
Discussion: Results show that the relationship between transcendent experience, flow, and happiness are significantly positive. Furthermore, findings suggest that transcendent experience is an antecedent to flow, and flow positively affects happiness. Flow has demonstrated a mediating role between transcendent experience and happiness, where high levels of flow post-climb positively correlated with increased perception of happiness. When considering differences between novice and veteran climbers, novice climbers did not exhibit gains in hedonic enjoyment from mountain climbing, but veteran climbers did show such gains.
Flow in Work and EducationCeja, L., & Navarro, J. (2012). ‘Suddenly I get into the zone’: Examining discontinuities and nonlinear changes in flow experiences at work. Human Relations, 65(9), 1101-1127.
Method: Employees (N=60) completed flow diaries on personal digital assistants (PDAs) for 21 consecutive working days, only during work hours, to obtain a comprehensive sample of work-related activities performed by the employees. Flow diaries contained six questions, which covered various variables of flow theory: activity, perceived challenge, perceived skill, enjoyment, interest, and absorption. Responses to each question were completed on a 6-item rating scale.
Data were fitted individually during analysis, where the independent variable were skill and challenge and the dependent variables were enjoyment, interest, and absorption. Between-subjects analyses revealed significant positive correlations between enjoyment, interest and absorption: r(enjoyment/interest) = .85**, r(enjoyment/absorption) = .76**, r(interest/absorption) = .65** (** p < .01, N = 60); and at the within-person level of analysis: r(enjoyment/ interest) = .88**, r(enjoyment/absorption) = .68**, r(interest/absorption) = .62** (** p < .001, N = 6981). The R cusp package was used to analyze the fit of the cusp catastrophe model to the flow data. Results showed that the cusp catastrophe model generally provided a better fit to the data than linear or logistic models, which had been applied to participants experiencing high levels of flow (R2 = .31, p < .001).
Discussion: The results of this study were significant in their ability to model, for the first time, the merging of action and awareness described in qualitative narratives of flow literature. Additionally, results showed that high levels of flow are frequently found within discontinuous and abruptly changing environments. These findings are a novel addition to tradition linear flow models, as they suggest that employing different patterns of change (e.g. gradual, continuous, sudden, nonlinear) can complement linear relationships, enhancing employee happiness and well-being.
investigation into the role of daily and weekly flow experiences. Journal of Happiness Studies, 10(6), 703-719.
Method: Participants (N = 54) completed retrospective assessments of daily flow experiences and happiness, and a total of 378 daily observations were collected over a 7-day period. Participants completed the measures of affect, life satisfaction, presence of flow, and quality of flow at the end of each day. The affect measure was split for positive and negative affect, where ratings were indicated on an 8-point Likert-type scale. The Satisfaction with Life Scale was the selected measure of life satisfaction. Participants responded on a 5-point Likert scale to 5 statements, including: In most ways my life is close to ideal. To measure the presence of flow, participants were prompted to read two descriptions of flow and indicate if they had a similar experience that day.
were analyzed with hierarchical linear modeling (HLM) on two levels. Level 1 (day level) contained information about the individuals’ experiences on specific days; Level 2 (person level) variables describe individuals’ socio-demographic position and characterize experiences over the week.
Discussion:Results revealed three major findings. First, most older adults showed an understanding of the concept of flow and reported at least one flow experience over 7 days. Second, HLM analyses demonstrated that flow experience on a given day was not associated with either affect or life satisfaction; however, there was a relationship between flow quality and happiness. Higher quality of flow was positively correlated with high positive affect and life satisfaction. Finally, on the individual level, researchers observed a high number of days where flow exhibited a negative relationship with positive affect and life satisfaction. These results contradict HLM Level 1 analyses, and they suggested that people with a greater propensity to experience flow (higher # of flow days) had lower average levels of positive affect and life satisfaction. These results suggest that seeking out flow experiences as a strategy used by less happy people to make themselves feel better, but the causality of this relationship remains unclear.
Rogatko, T. P. (2009). The influence of flow on positive affect in college students. Journal of Happiness Studies, 10(2), 133-148.
Method: Participants met with researchers to complete an activities sheet, recording 8-10 activities they typically engaged in during an average week and time spent doing the activity. Participants were also asked to rate the emotions they felt during the activity of a scale of 1 (never) to 10 (always) on the measures of boredom, challenged, “in the zone,” and upset. Those randomly assigned to the high flow induction group performed one of their top 3 “in the zone” activities for 1 hour in the week; participants in the low flow group performed 1 of their 3 lowest “in the zone activities” under the same conditions. The FSS-2 and PANAS questionnaires were completed before and after the flow activities.
Discussion: Results provide further support of the theory that flow leads to PA while also demonstrating that flow decreases NA. Findings also strengthen Csikszentmihalyi’s theory of nine characteristics of flow, since all but one characteristic were related to positive emotions.
Salanova, M., Bakker, A. B., & Llorens, S. (2006). Flow at work: evidence for an upward spiral of personal and organizational resources. Journal of Happiness Studies, 7(1), 1-22.
Method: Participants included 258 secondary school teachers who were asked to complete a self-report questionnaire during the academic year and a second, identical questionnaire 8 months later. Questionnaires measured organizational resources, personal resources, and flow at work.
Discussion: Results supported both hypotheses, yielding evidence of a reciprocal relationship between personal and organizational resources and work-related flow. Simultaneously, personal resources (i.e. strong beliefs about one’s own competence at work) as well as organizational resources (i.e. combinations of social support, innovation, rules, etc.) foster flow experiences over time. Regarding the second hypothesis, experiences of flow in the present influenced the gain of organizational and personal resources in the future. Interestingly, results consistently report a reciprocal nature between flow and resources, suggesting that flow can lead to optimization and competency and vice versa.