Background. One way to motivate people to exercise is to create a motivating social context, such as group exercise, due to social comparison opportunities. However, typical group exercise is not always easy for those who have problems in scheduling or social physique anxiety. Software-generated partners (SGPs) could offer a solution because they have advantages over human partners.
Aim. This exploratory study examined the psychological state of flow under Köhler paradigm over a 24-week exergame with different types of SGPs: Individual Control (IC), Always Superior Partner (AWS), and Not Always Superior Partner (NAS).
Method. The experiment was a 3 (Type of the partner) × 3 (Time blocks) factorial design. Fifteen participants engaged in the experiment. A multivariate multiple regression with type of SGPs predicting flow state at the second and third block was conducted.
Results. Participants with an NAS partner had significantly higher flow state, as compared to participants under IC, at both blocks. Participants with an AWS partner had approximately equal flow state, as compared to participants under IC, at both blocks.
Conclusions. Possible reasons for flow perceptions with different types of SGPs over time were discussed in terms of programming SGPs and flow theory.
AltmanM. (2004). Statistical significance, path dependency, and the culture of journal publication. Journal of Socio-Economics, 33, 651-663. doi:10.1016/j.socec.2004.09.037
2.
AndradeG.RamalhoG.SantanaH.CorrubleV. (2005). Challenge-sensitive action selection: An application to game balancing. In Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, USA (pp. 194-200). doi:10.1109/IAT.2005.52
3.
BainL. L.WilsonT.ChaikindE. (1989). Participant perceptions of exercise programs for overweight women. Research Quarterly for Exercise and Sport, 60, 134-143. doi:10.1080/02701367.1989.10607428
4.
BaranowskiT.BlumbergF.GaoZ.KatoP. M.KokG.LuA. S.. . .ThompsonD. (2017). Getting research on games for health funded. Games for Health Journal, 6, 1-8. doi:10.1089/g4h.2016.0106
5.
BickmoreT.PicardR. (2005). Establishing and maintaining long-term human-computer relationships. ACM Transactions on Computer-Human Interaction, 12, 293-327. doi:10.1145/1067860.1067867
6.
BlandJ. M.AltmanD. G. (1997). Statistics notes: Cronbach’s alpha. British Medical Journal, 314, 572. doi:10.1136/bmj.314.7080.572
7.
CohenJ. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
8.
CollinsR. L. (1996). For better or worse: The impact of upward social comparison on self-evaluations. Psychological Bulletin, 119, 51-69. doi:10.1037/0033-2909.119.1.51
9.
CortinaJ. M.LandisR. S. (2011). The earth is not round (p = .00). Organizational Research Methods, 14, 332-349. doi:10.1177/1094428110391542
10.
CsikszentmihalyiM. (1990). Flow: The psychology of optimal experience. New York, NY: Harper & Row.
11.
CsikszentmihalyiM. (2000). Beyond boredom and anxiety. San Francisco, CA: Wiley.
12.
CsikszentmihalyiM.CsikszentmihalyiI. S. (1992). Optimal experience: Psychological studies of flow in consciousness. Cambridge, UK: Cambridge University Press.
13.
CsikszentmihalyiM.LeFevreJ. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56, 815-822. doi:10.1037/0022-3514.56.5.815
14.
EngeserS.RheinbergF. (2008). Flow, performance and moderators of challenge-skill balance. Motivation and Emotion, 32, 158-172. doi:10.1007/s11031-008-9102-4
15.
FeltzD. L.ForlenzaS. T.WinnB.KerrN. L. (2014). Cyber buddy is better than no buddy: A test of the Köhler motivation effect in exergames. Games for Health Journal, 3, 98-105. doi:10.1089/g4h.2013.0088
16.
FeltzD. L.KerrN. L.IrwinB. C. (2011). Buddy up: The Köhler effect applied to health games. Journal of Sport & Exercise Psychology, 33, 506-526. doi:10.1123/jsep.33.4.506
17.
FeltzD. L.Ploutz-SnyderL.WinnB.KerrN. L.PivarnikJ. M.EdeA.. . . JefferyW. (2016). Simulated partners and collaborative exercise (SPACE) to boost motivation for astronauts: Study protocol. BMC Psychology, 4, 1-11. doi:10.1186/s40359-016-0165-9
18.
HunickeR. (2005). The case for dynamic difficulty adjustment in games. In Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology, USA (pp. 429-433). doi:10.1145/1178477.1178573
19.
HunterJ. E. (1997). Needed: A ban on the significance test. Psychological Science, 8, 3-7. doi:10.1111/j.1467-9280.1997.tb00534.x
20.
JacksonS. A. (1996). Toward a conceptual understanding of the flow experience in elite athletes. Research Quarterly for Exercise and Sport, 67, 76-90. doi:10.1080/02701367.1996. 10607928
21.
JacksonS. A.EklundR. C. (2002). Assessing flow in physical activity: The flow state scale-2 and dispositional flow scale-2. Journal of Sport & Exercise Psychology, 24, 133-150. doi:10.1123/jsep.24.2.133
22.
JacksonS. A.MarshH. W. (1996). Development and validation of a scale to measure optimal experience: The flow state scale. Journal of Sport & Exercise Psychology, 18, 17-35. doi:10.1123/jsep.18.1.17
23.
JacksonS. A.ThomasP. R.MarshH. W.SmethurstC. J. (2001). Relationships between flow, self-concept, psychological skills, and performance. Journal of Applied Sport Psychology, 13, 129-153. doi:10.1080/104132001753149865
24.
KangS.GratchJ. (2011). People like virtual counselors that highly-disclose about themselves. Journal of CyberTherapy and Rehabilitation, 4(2), 252. Retrieved from http://journalofcybertherapy.webs.com
25.
KarimeA.Al OsmanH.GueaiebW.Alja’amJ. M.El SaddikA. (2011). Learn-pads: A mathematical exergaming system for children’s physical and mental well-being. In Proceedings of 2011 IEEE International Conference on Multimedia and Expo, Spain (pp. 1-6). doi:10.1109/ICME.2011.6011852
26.
KerrN. L.HertelG. (2011). The Köhler group motivation gain: How to motivate the ‘weak links’ in a group. Social and Personality Psychology Compass, 5, 43-55. doi:10.1111/j.1751-9004.2010.00333.x
27.
KerrN. L.MesséL. A.ParkE. S.SambolecE. J. (2005). Identifiability, performance feedback and the Köhler effect. Group Processes & Intergroup Relations, 8, 375-390. doi:10.1177/1368430205056466
28.
KerrN. L.MesséL. A.SeokD.SambolecE. J.LountR. B.ParkE. S. (2007). Psychological mechanisms underlying the Köhler motivation gain. Personality and Social Psychology Bulletin, 33, 828-841. doi:10.1177/0146167207301020
29.
KosterR. (2005). A theory of fun for game design. Scottsdale, AZ: Paraglyph Press.
30.
LeeM. K.KieslerS.ForlizziJ. (2010). Receptionist or information kiosk: How do people talk with a robot? In Proceedings of the 2010 ACM conference on Computer supported cooperative work, USA (pp. 31-40). doi:10.1145/1718918.1718927
31.
LeeS.KimW.ParkT.PengW. (2017). The psychological effects of playing exergames: A systematic review. Cyberpsychology, Behavior, and Social Networking, 20, 513-532. doi:10.1089/cyber.2017.0183
32.
ManF.StuchlikovaI. (2005, July). Achievement motivation and the flow experience in experimental computer game. Poster session presented at the 26th international conference of the stress and anxiety research society, Halle, Germany.
33.
MaxE. J.SamendingerS.WinnB.KerrN. L.PfeifferK. A.FeltzD. L. (2016). Enhancing aerobic exercise with a novel virtual exercise buddy based on the Köhler effect. Games for Health Journal, 5, 252-257. doi:10.1089/g4h.2016.0018
34.
MuthénL. K.MuthénB. O. (1998-2015). Mplus User’s Guide (7th ed.). Los Angeles, CA: Author.
35.
MyersN. D.NtoumanisN.GunnellK. E.GucciardiD. F.LeeS. (2017). A review of some emergent quantitative analyses in sport and exercise psychology. International Review of Sport and Exercise Psychology. Advance online publication. doi:10.1080/1750984X.2017.1317356
PetosaR. L.HoltzB. (2013). Flow for exercise adherence: Testing an intrinsic model of health behavior. American Journal of Health Education, 44, 273-277. doi:10.1080/19325037.2013.811364
38.
SalenK.ZimmermanE. (2004). Rules of play: Game design fundamentals. Cambridge, UK: MIT Press.
39.
SamendingerS.ForlenzaS. T.WinnB.MaxE. J.KerrN. L.PfeifferK. A.FeltzD. L. (2017). Introductory dialogue and the Köhler Effect in software-generated workout partners. Psychology of Sport and Exercise, 32, 131-137. doi:10.1016/j.psychsport.2017.07.001
40.
SchülerJ. (2007). Arousal of flow experience in a learning setting and its effects on exam performance and affect. Zeitschrift für Pädagogische Psychologie, 21, 217-227. doi:10.1024/1010-0652.21.3.217
41.
SchulzK. F.AltmanD. G.MoherD. (2010). CONSORT 2010 statement: Updated guidelines for reporting parallel group randomised trials. BMC Medicine, 8, 18. doi:10.1186/1741-7015-8-18
42.
SchweizerG.FurleyF. (2016). Reproducible research in sport and exercise psychology: The role of sample sizes. Psychology of Sport and Exercise, 23, 114-122. doi:10.1016/j.psychsport.2015.11.005
43.
SilvaM. P.SilvaV. d.ChaimowiczL. (2015, November). Dynamic difficulty adjustment through an adaptive AI. Computer Games and Digital Entertainment (SBGames), Symposium conducted at the meeting of 2015 14th Brazilian Symposium, Piaui, Brazil.
44.
SongH.KimJ.TenzekK. E.LeeK. M. (2013). The effects of competition and competitiveness upon intrinsic motivation in exergames. Computers in Human Behavior, 29, 1702-1708. doi:10.1016/j.chb.2013.01.042
WarburtonD. E. R.NicolC. W.BredinS. S. D. (2006). Health benefits of physical activity: The evidence. Canadian Medical Association Journal, 174, 801-809. doi:10.1503/cmaj.051351
47.
WeberB.HertelG. (2007). Motivation gains of inferior group members: A meta-analytical review. Journal of Personality and Social Psychology, 93, 973-993. doi:10.1037/0022-3514.93.6.973
