Maximilian Altmeyer
Berina Zenuni
Pascal Lessel
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The perception of gamification elements differs across users, which is why personalizing gamified systems is important. Past research showed that the Hexad user types model is particularly suitable for this purpose by demonstrating correlations between user types and gamification elements. However, previous studies were mostly survey-based, i.e. relied on participants' rating of gamification elements based on e.g. textual descriptions or storyboards. Thus, the question whether personalization based on Hexad user types provides benefits in implemented gameful systems was neglected. We contribute to this by investigating the effects of (contra-) tailoring the set of gamification elements to a user's Hexad type on performance and user experience, assessed with survey and physiological measures, in an image tagging context. In a lab study (N=29), we found that gamification increases performance and affects psychophysiological measures of arousal. Moreover, we demonstrate that personalization increases enjoyment, positively-valenced affective experiences and participants' absorption in the task at hand.
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- Noora Aldenaini, Felwah Alqahtani, Rita Orji, and Sampalli Srinivas. 2020. Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic Review. Frontiers in Artificial Intelligence Journal for Human Learning and Behavior Change 21 Febraury 2020 (2020), 85. https://doi.org/10.3389/frai.2020.00007Google Scholar
- Maximilian Altmeyer, Pascal Lessel, Linda Muller, and Antonio Krü ger. 2019. Combining Behavior Change Intentions and User Types to Select Suitable Gamification Elements for Persuasive Fitness Systems. In International Conference on Persuasive Technology. Springer.Google ScholarCross Ref
- Maximilian Altmeyer, Gustavo F. Tondello, Antonio Krü ger, and Lennart E. Nacke. 2020. HexArcade: Predicting Hexad User Types By Using Gameful Applications. Proceedings of the the Annual Symposium on Computer-Human Interaction in Play (CHI Play-2020) (2020).Google Scholar
- Soumya C. Barathi, Michael Proulx, Eamonn O'Neill, and Christof Lutteroth. 2020. Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming. Conference on Human Factors in Computing Systems - Proceedings (2020), 1--15. https://doi.org/10.1145/3313831.3376596Google ScholarDigital Library
- Max V. Birk, Maximilian A. Friehs, and Regan L. Mandryk. 2017. Age-Based Preferences and Player Experience: A Crowdsourced Cross-sectional Study. Proceedings of the Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17 (2017), 157--170. https://doi.org/10.1145/3116595.3116608Google ScholarDigital Library
- Martin Bö ckle, Isabel Micheel, and Markus Bick. 2018. A Design Framework for Adaptive Gamification Applications. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS '18) (2018), 1227--1236.Google Scholar
- Martin Bö ckle, Jasminko Novak, and Markus Bick. 2017. Towards Adaptive Gamification: A Synthesis of Current Developments. Proceedings of the 25th European Conference on Information Systems (ECIS '17) (2017). http://aisel.aisnet.org/ecis2017_rp/11Google Scholar
- Wolfram Boucsein. 2012. Electrodermal Activity 2nd ed.). Springer ScienceBusiness Media, New York, NY. https://doi.org/10.1007/978--1--4614--1126-0Google Scholar
- Marc Busch, Elke Mattheiss, Rita Orji, Peter Frö hlich, Michael Lankes, and Manfred Tscheligi. 2016. Player Type Models - Towards Empirical Validation. Conference on Human Factors in Computing Systems - Extended Abstracts Proceedings, Vol. 07--12-May-, October 2017 (2016), 1835--1841. https://doi.org/10.1145/2851581.2892399Google ScholarDigital Library
- John T. Cacioppo, Gary G Berntson, Jeff T Larsen, Kirsten M Poehlmann, and Tiffany A Ito. 2000. The Psychophysiology of Emotion. In Handbook of emotions first edit ed.), M Lewis, Jeanette M Haviland-Jones, and Lisa Feldman Barrett (Eds.). Vol. 2. Guilford Publications, Chapter Chapter 11, 173--191. https://doi.org/10.1097/00005768--200405001-00432Google Scholar
- John T. Cacioppo, Stephanie Cacioppo, and Richard E. Petty. 2017. The neuroscience of persuasion: A review with an emphasis on issues and opportunities. Social Neuroscience (2017), 1--44. https://doi.org/10.1080/17470919.2016.1273851Google Scholar
- John T. Cacioppo, Louis G Tassinary, and Gary G Berntson. 2007. The Handbook of Psychophysiology third edit ed.). Vol. 44. Cambridge University Press, New York. 914 pages. https://doi.org/10.1017/CBO9780511546396 arxiv: arXiv:1011.1669v3Google Scholar
- Christopher P. Cerasoli, Jessica M. Nicklin, and Michael T. Ford. 2014. Intrinsic Motivation and Extrinsic Incentives Jointly Predict Performance: A 40-Year Meta-Analysis. Psychological Bulletin, Vol. 140, 4 (2014), 980--1008. https://doi.org/10.1037/a0035661Google ScholarCross Ref
- Mihaly Csikszentmihalyi. 1975. Beyond Boredom and Anxiety. Jossey-Bass (1975).Google Scholar
- M Csikszentmihalyi. 1990. Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. (1990).Google Scholar
- Mihaly Csikszentmihalyi. 1997. Finding Flow: The Psychology of Engagement with Everyday Life. Basic Books, New York, NY, US. ix, 181--ix, 181 pages.Google Scholar
- Mihaly Csikszentmihalyi, Sami Abuhamdeh, and Jeanne Nakamura. 2014. Flow. Flow and the Foundations of Positive Psychology: The Collected Works of Mihaly Csikszentmihalyi (2014), 1--298. https://doi.org/10.1007/978--94-017--9088--8Google ScholarCross Ref
- Sebastian Deterding, Dan Dixon, Rilla Khaled, and Lennart Nacke. 2011. From Game Design Elements to Gamefulness: Defining Gamification. Proceedings of the 15th International Academic MindTrek Conference. ACM, 2011. (2011), 9--15. https://doi.org/10.1145/2181037.2181040Google ScholarDigital Library
- Arindam Dey, Thammathip Piumsomboon, Youngho Lee, and Mark Billinghurst. 2017. Effects of sharing physiological states of players in a collaborative virtual reality gameplay. In Proceedings of the 2017 CHI conference on human factors in computing systems. 4045--4056.Google ScholarDigital Library
- Anders Drachen, Georgios Yannakakis, Lennart E. Nacke, and Anja Lee Pedersen. 2010. Correlation Between Heart Rate, Electrodermal Activity and Player Experience in First-Person Shooter Games. Proceedings of the 5th ACM SIGGRAPH Symposium on Video Games (2010), 49--54. https://doi.org/10.1145/1836135.1836143Google ScholarDigital Library
- Emily B Falk and Christin Scholz. 2018. Persuasion, Influence, and Value: Perspectives from Communication and Social Neuroscience. Annual Review of Psychology, Vol. 69 (2018), 329--356. https://doi.org/10.1146/annurev-psych-122216-011821Google ScholarCross Ref
- Stuart Hallifax, Elise Lavoué, and Audrey Serna. 2020. To tailor or not to Tailor Gamification? An Analysis of the Impact of Tailored Game Elements on Learners' Behaviours and Motivation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12163 LNAI, July (2020), 216--227. https://doi.org/10.1007/978--3-030--52237--7_18Google Scholar
- Stuart Hallifax, Audrey Serna, Jean-charles Marty, Guillaume Lavoué, and Elise Lavoué. 2019. Factors to Consider for Tailored Gamification. Proceedings of the Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '19 (2019).Google ScholarDigital Library
- Juho Hamari and Jonna Koivisto. 2014. Measuring flow in gamification: Dispositional Flow Scale-2. Computers in Human Behavior, Vol. 40 (2014), 133--143. https://doi.org/10.1016/j.chb.2014.07.048Google ScholarDigital Library
- Juho Hamari, Jonna Koivisto, and Harri Sarsa. 2014. Does Gamification Work? - A Literature Review of Empirical Studies on Gamification. Hawaii International Conference on System Sciences. (2014), 3025--3034. https://doi.org/10.1109/HICSS.2014.377Google ScholarDigital Library
- László Harmat, Örjan de Manzano, Töres Theorell, Lennart Högman, Håkan Fischer, and Fredrik Ullén. 2015. Physiological correlates of the flow experience during computer game playing. International Journal of Psychophysiology, Vol. 97, 1 (2015), 1--7. https://doi.org/10.1016/j.ijpsycho.2015.05.001Google ScholarCross Ref
- Johan Hö gberg, Juho Hamari, and Erik W"a stlund. 2019. Gameful Experience Questionnaire (GAMEFULQUEST): An Instrument for Measuring the Perceived Gamefulness of System Use. User Modeling and User-Adapted Interaction, Vol. 29, 3 (2019), 619--660. https://doi.org/10.1007/s11257-019-09223-wGoogle ScholarDigital Library
- Mark J. Huiskes and Michael S. Lew. 2008. The MIR Flickr Retrieval Evaluation. Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08 (2008), 39--43. https://doi.org/10.1145/1460096.1460104Google ScholarDigital Library
- Wilfrid J"a nig. 2003. The Autonomic Nervous System and its Coordination by the brain. In Handbook of Affective Sciences 1 eds ed.), Richard J Davidson, Klaus R Scherer, and Goldsmith H (Eds.). Oxford University Press, Chapter 9, 135--186.Google Scholar
- Yuan Jia, Yikun Liu, Xing Yu, and Stephen Voida. 2017. Designing Leaderboards for Gamification: Perceived Differences based on User Ranking, Application domain, and Personality traits. Conference on Human Factors in Computing Systems - Proceedings, Vol. 2017-May, May (2017), 1949--1960. https://doi.org/10.1145/3025453.3025826Google ScholarDigital Library
- Yuan Jia, Bin Xu, Yamini Karanam, and Stephen Voida. 2016. Personality-Targeted Gamification: A Survey Study on Personality Traits and Motivational Affordances. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16 (2016), 2001--2013. https://doi.org/10.1145/2858036.2858515Google ScholarDigital Library
- Dennis L Kappen, Lennart E Nacke, Kathrin M Gerling, and Lia E Tsotsos. 2016. Design Strategies for Gamified Physical Activity Applications for Older Adults. Hawaii International Conference on System Sciences (2016), 1309--1318. https://doi.org/10.1109/HICSS.2016.166Google ScholarDigital Library
- Johannes Keller, Herbert Bless, Frederik Blomann, and Dieter Kleinbö hl. 2011. Physiological aspects of flow experiences: Skills-demand-compatibility effects on heart rate variability and salivary cortisol. Journal of Experimental Social Psychology, Vol. 47, 4 (2011), 849--852. https://doi.org/10.1016/j.jesp.2011.02.004Google ScholarCross Ref
- Ana Carolina Tomé Klock, Isabela Gasparini, Marcelo Soares Pimenta, and Juho Hamari. 2020. Tailored Gamification: A Review of Literature. International Journal of Human Computer Studies, Vol. 144, September 2019 (2020). https://doi.org/10.1016/j.ijhcs.2020.102495Google Scholar
- Michael T. Knierim, Raphael Rissler, Verena Dorner, Alexander Maedche, and Christof Weinhardt. 2017. The Psychophysiology of Flow: A Systematic Review of Peripheral Nervous System Features. Lecture Notes in Information Systems and Organisation, Vol. 25 (2017), 109--120. https://doi.org/10.1007/978--3--319--67431--5_13Google ScholarCross Ref
- Oliver Korn and Adrian Rees. 2019. Affective effects of gamification. Using biosignals to measure the effects on working and learning users. ACM International Conference Proceeding Series (2019), 1--10. https://doi.org/10.1145/3316782.3316783Google ScholarDigital Library
- Dimosthenis Kotsopoulos, Cleopatra Bardaki, Stavros Lounis, and Katerina Pramatari. 2018. Employee Profiles and Preferences towards IoT-enabled Gamification for Energy Conservation. International Journal of Serious Games, Vol. 5, 2 (2018), 65--85. https://doi.org/10.17083/ijsg.v5i2.225Google ScholarCross Ref
- Sylvia D. Kreibig. 2010. Autonomic nervous system activity in emotion: A review. Biological Psychology, Vol. 84, 3 (2010), 394--421. https://doi.org/10.1016/j.biopsycho.2010.03.010Google ScholarCross Ref
- É lise Lavoué, Baptiste Monterrat, Michel Desmarais, and Sé bastien George. 2018. Adaptive Gamification for Learning Environments. IEEE Transactions on Learning Technologies, Vol. 12, 1 (2018), 16--28. https://doi.org/10.1109/TLT.2018.2823710Google Scholar
- Pascal Lessel, Maximilian Altmeyer, Marc Mü ller, Christian Wolff, and Antonio Krü ger. 2017. Measuring the Effect of "Bottom-Up" Gamification in a Microtask Setting. Proceedings of the 21st International Academic Mindtrek Conference (2017), 63--72. https://doi.org/10.1145/3131085.3131086Google ScholarDigital Library
- Pascal Lessel, Maximilian Altmeyer, Lea Verena Schmeer, and Antonio Krü ger. 2019. "Enable or Disable Gamification?" -- Analyzing the Impact of Choice in a Gamified Image Tagging Task. CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019) (2019).Google ScholarDigital Library
- Edwin A. Locke and Gary P. Latham. 2002. Building a Practically Useful Theory of Goal Setting and Task Motivation: A 35-Year Odyssey. American Psychologist, Vol. 57, 9 (2002), 705--717. https://doi.org/10.1037/0003-066X.57.9.705Google ScholarCross Ref
- Christian E Lopez and Conrad S Tucker. 2021. Adaptive Gamification and Its Impact on Performance. In International Conference on Human-Computer Interaction. Springer, 327--341.Google Scholar
- Andrzej Marczewski. 2015. Even Ninja Monkeys Like to Play: Gamification, Game Thinking and Motivational Design. CreateSpace Independent Publishing Platform.Google Scholar
- Edward D. McAuley, Terry Duncan, and Vance V. Tammen. 1989. Psychometric Properties of the Intrinsic Motivation Inventoiy in a Competitive Sport Setting: A Confirmatory Factor Analysis. Research Quarterly for Exercise and Sport, Vol. 60, 1 (1989), 48--58. https://doi.org/10.1080/02701367.1989.10607413Google ScholarCross Ref
- Cameron McCarthy, Nikhilesh Pradhan, Calum Redpath, and Andy Adler. 2016. Validation of the Empatica E4 Wristband. 2016 IEEE EMBS International Student Conference: Expanding the Boundaries of Biomedical Engineering and Healthcare, ISC 2016 - Proceedings (2016), 4--7. https://doi.org/10.1109/EMBSISC.2016.7508621Google ScholarCross Ref
- Robert R. McCrae and Oliver P. John. 1992. An Introduction to the Five?Factor Model and Its Applications. Journal of Personality, Vol. 60, 2 (1992), 175--215. https://doi.org/10.1111/j.1467--6494.1992.tb00970.xGoogle ScholarCross Ref
- Mary L McHugh. 2012. Interrater Reliability: The Kappa Statistic. Biochemia Medica (2012), 276--282.Google Scholar
- Elisa D. Mekler, Florian Brü hlmann, Klaus Opwis, and Alexandre N. Tuch. 2013a. Do Points, Levels and Leaderboards Harm Intrinsic Motivation? An Empirical Analysis of Common Gamification Elements. Proceedings of the First International Conference on Gameful Design, Research, and Applications (2013), 66--73. https://doi.org/10.1145/2583008.2583017Google ScholarDigital Library
- Elisa D. Mekler, Florian Brü hlmann, Alexandre N. Tuch, and Klaus Opwis. 2017. Towards Understanding the Effects of Individual Gamification Elements on Intrinsic Motivation and Performance. Computers in Human Behavior, Vol. 71 (2017), 525--534. https://doi.org/10.1016/j.chb.2015.08.048Google ScholarDigital Library
- Elisa D. Mekler, Alexandre N. Tuch, Florian Brü hlmann, and Klaus Opwis. 2013b. Disassembling Gamification: The Effects of Points and Meaning on User Motivation and Performance. Conference on Human Factors in Computing Systems - Proceedings, Vol. 2013-April (2013), 1137--1142. https://doi.org/10.1145/2468356.2468559Google ScholarDigital Library
- Anca M. Miron and Jack W. Brehm. 2006. Reactance Theory - 40 Years Later. Zeitschrift fü r Sozialpsychologie, Vol. 37, 1 (2006), 9--18. https://doi.org/10.1024/0044--3514.37.1.9 arxiv: arXiv:1011.1669v3Google ScholarCross Ref
- Alberto Mora, Gustavo F. Tondello, Lennart E. Nacke, and Joan Arnedo-Moreno. 2018. Effect of Personalized Gameful Design on Student Engagement. IEEE Global Engineering Education Conference, EDUCON, Vol. 2018-April (2018), 1925--1933. https://doi.org/10.1109/EDUCON.2018.8363471Google Scholar
- Lennart Nacke and Craig A. Lindley. 2008. Flow and Immersion in First-Person Shooters. (2008), 81. https://doi.org/10.1145/1496984.1496998Google ScholarDigital Library
- Lennart E. Nacke, Chris Bateman, and Regan L. Mandryk. 2014. BrainHex: A Neurobiological Gamer Typology Survey. Entertainment Computing, Vol. 5, 1 (2014), 55--62. https://doi.org/10.1016/j.entcom.2013.06.002Google ScholarCross Ref
- Lennart E. Nacke and Sebastian Deterding. 2017. The Maturing of Gamification Research. Computers in Human Behavior, Vol. 71 (2017), 450--454. https://doi.org/10.1016/j.chb.2016.11.062Google ScholarCross Ref
- Lennart E. Nacke, Mark N. Grimshaw, and Craig A. Lindley. 2010. More than a Feeling: Measurement of Sonic User Experience and Psychophysiology in a First-Person Shooter Game. Interacting with Computers, Vol. 22, 5 (2010), 336--343. https://doi.org/10.1016/j.intcom.2010.04.005Google ScholarDigital Library
- Wilk Oliveira, Olena Pastushenko, Luiz Rodrigues, Armando M Toda, Paula T Palomino, Juho Hamari, and Seiji Isotani. 2021. Does gamification affect flow experience? A systematic literature review. In 5th International GamiFIN Conference, GamiFIN 2021. 110--119.Google Scholar
- Jeroen Ooge, Robin De Croon, Katrien Verbert, and Vero Vanden Abeele. 2020. Tailoring Gamification for Adolescents: a Validation Study of Big Five and Hexad in Dutch. In Proceedings of the Annual Symposium on Computer-Human Interaction in Play. ACM, New York, NY, USA, 206--218. https://doi.org/10.1145/3410404.3414267Google ScholarDigital Library
- Rita Orji, Regan L Mandryk, and Julita Vassileva. 2015. Gender, Age, and Responsiveness to Cialdini's Persuasion Strategies. International Conference on Persuasive Technology, Vol. 9072, June (2015). https://doi.org/10.1007/978--3--319--20306--5Google ScholarCross Ref
- Rita Orji, Lennart E. Nacke, and Chrysanne Di Marco. 2017. Towards Personality-driven Persuasive Health Games and Gamified Systems. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17 (2017), 1015--1027. https://doi.org/10.1145/3025453.3025577Google ScholarDigital Library
- Rita Orji, Gustavo F Tondello, and Lennart E Nacke. 2018. Personalizing Persuasive Strategies in Gameful Systems to Gamification User Types. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '18 (2018). https://doi.org/doi.org/10.1145/3173574.3174009Google ScholarDigital Library
- Thé rè se J.M. Overbeek, Anton van Boxtel, and Joyce H.D.M. Westerink. 2012. Respiratory Sinus Arrhythmia Responses to Induced Emotional States: Effects of RSA Indices, Emotion Induction Method, Age, and Sex. Biological Psychology, Vol. 91, 1 (2012), 128--141. https://doi.org/10.1016/j.biopsycho.2012.05.011Google ScholarCross Ref
- Mario Passalacqua, Pierre Majorique Lé ger, Lennart E. Nacke, Marc Fredette, É lise Labonté -Lemoyne, Xinli Lin, Tony Caprioli, and Sylvain Sé né cal. 2020. Playing in the Backstore: Interface Gamification Increases Warehousing Workforce Engagement. Industrial Management and Data Systems, Vol. 120, 7 (2020), 1309--1330. https://doi.org/10.1108/IMDS-08--2019-0458Google ScholarCross Ref
- B. R. Payne, J. J. Jackson, S. R. Noh, and E. A. L. Stine-Morrow. 2011a. Activity Flow State Scale. APA PsycTests (2011). https://doi.org/10.1037/t06855-000Google Scholar
- B. R. Payne, J. J. Jackson, S. R. Noh, and E. A. L. Stine-Morrow. 2011b. In The Zone: Flow State and Cognition in Older Adults Brennan. Psychol Aging, Vol. 23, 1 (2011), 1--7. https://doi.org/10.1037/a0022359Google Scholar
- Rosalind W. Picard, Elias Vyzas, and Jennifer Healey. 2001. Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, 10 (2001), 1175--1191. https://doi.org/10.1109/34.954607Google ScholarDigital Library
- J Posner, James A. Russell, and Bradley S. Peterson. 2005. The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology. Development and Psychopathology, Vol. 17, 3 (2005), 715--734. https://doi.org/10.1017/S0954579405050340Google ScholarCross Ref
- Stephanie Reyssier, Stuart Hallifax, Audrey Serna, Jean-Charles Marty, Simonian Stephane, and Elise Lavoué. 2022. The impact of game elements on learner motivation: influence of initial motivation and player profile. IEEE Transactions on Learning Technologies (2022).Google Scholar
- Sara E. Rimm-Kaufman and Jerome Kagan. 1996. The Psychological Significance of Changes in Skin Temperature. Motivation and Emotion, Vol. 20, 1 (1996), 63--78. https://doi.org/10.1007/BF02251007Google ScholarCross Ref
- Richard W Robins, Chris R. Fraley, and Robert F. Krueger. 2007. Handbook of Research Methods in Personality Psychology. The Guilford Press.Google Scholar
- Richard M. Ryan. 1982. Control and Information in the Intrapersonal Sphere: An Extension of Cognitive Evaluation Theory. Journal of Personality and Social Psychology, Vol. 43, 3 (1982), 450--461.Google ScholarCross Ref
- Richard M Ryan and Edward L Deci. 2000. Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being. American Psychologist, Vol. 55, 1 (2000), 68--78. https://doi.org/10.1037/0003-066X.55.1.68Google ScholarCross Ref
- Michael Sailer, Jan Ulrich Hense, Sarah Katharina Mayr, and Heinz Mandl. 2017. How Gamification Motivates: An Experimental Study of the Effects of Specific Game Design Elements on Psychological Need Satisfaction. Computers in Human Behavior, Vol. 69 (2017), 371--380. https://doi.org/10.1016/j.chb.2016.12.033 arxiv: arXiv:1011.1669v3Google ScholarDigital Library
- Marc Schubhan, Maximilian Altmeyer, Dominic Buchheit, and Pascal Lessel. 2020. Investigating User-Created Gamification in an Image Tagging Task. CHI Conference on Human Factors in Computing Systems Proceedings (2020), 1--12. https://doi.org/10.1145/3313831.3376360Google ScholarDigital Library
- Angela AT Schuurmans, Peter de Looff, Karin S Nijhof, Catarina Rosada, Ron HJ Scholte, Arne Popma, and Roy Otten. 2020. Validity of the Empatica E4 Wristband to Measure Heart Rate Variability (HRV) Parameters: A Comparison to Electrocardiography (ECG). Journal of medical systems, Vol. 44, 11 (2020), 1--11.Google ScholarDigital Library
- Katie Seaborn and Deborah Fels. 2015. Gamification in Theory and Action: A Survey. International Journal of Human-Computer Studies, Vol. 74 (2015), 14--31. https://doi.org/10.1016/j.ijhcs.2014.09.006Google ScholarDigital Library
- Sandra Sittenthaler, Christina Steindl, and Eva Jonas. 2015. Legitimate vs. illegitimate restrictions - a motivational and physiological approach investigating reactance processes. Frontiers in Psychology, Vol. 6, May (2015), 1--11. https://doi.org/10.3389/fpsyg.2015.00632Google ScholarCross Ref
- Hanne Spelt, Elisabeth Kersten-van Dijk, Jaap Ham, Joyce Westerink, and Wijnand IJsselsteijn. 2019a. Psychophysiological Measures of Reactance to Persuasive Messages Advocating Limited Meat Consumption. Information, Vol. 10, 10 (2019). https://doi.org/10.3390/info10100320Google Scholar
- Hanne Spelt, Joyce Westerink, Jaap Ham, and Wijnand Ijsselsteijn. 2018. Cardiovascular Reactions During Exposure to Persuasion Principles. PERSUASIVE 2018; 13th International Conference on Persuasive Technology, Vol. 2, 2018 (2018), 315. https://doi.org/10.1007/978--3--319--78978--1Google ScholarCross Ref
- Hanne A. A. Spelt, Joyce H. D. M. Westerink, Jaap Ham, and Wijnand A. IJsselsteijn. 2019b. Psychophysiological Reactions to Persuasive Messages Deploying Persuasion Principles. IEEE Transactions on Affective Computing (2019), 1--13. https://doi.org/10.1109/TAFFC.2019.2931689Google Scholar
- Gustavo F. Tondello, Karina Arrambide, Giovanni Ribeiro, Andrew Jian lan Cen, and Lennart E. Nacke. [n.d.]. ?I don't fit into a single type": A trait model and scale of game playing preferences. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11747 LNCS, May ( [n.,d.]), 375--395. https://doi.org/10.1007/978--3-030--29384-0_23Google Scholar
- Gustavo F. Tondello, Alberto Mora, Andrzej Marczewski, and Lennart E. Nacke. 2018. Empirical Validation of the Gamification User Types Hexad Scale in English and Spanish. International Journal of Human-Computer Studies (2018). https://doi.org/10.1016/j.ijhcs.2018.10.002Google ScholarDigital Library
- Gustavo F. Tondello, Alberto Mora, and Lennart E. Nacke. 2017. Elements of Gameful Design Emerging from User Preferences. Proceedings of the Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17 (2017), 129--142. https://doi.org/10.1145/3116595.3116627Google ScholarDigital Library
- Gustavo F. Tondello and Lennart E. Nacke. 2020. Validation of User Preferences and Effects of Personalized Gamification on Task Performance. Frontiers in Computer Science, Vol. 2, August (2020). https://doi.org/10.3389/fcomp.2020.00029Google Scholar
- Gustavo F Tondello, Rina R Wehbe, Lisa Diamond, Marc Busch, Andrzej Marczewski, and Lennart E Nacke. 2016. The Gamification User Types Hexad Scale. The ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '16 (2016). https://doi.org/10.1145/2967934.2968082Google ScholarDigital Library
- April Tyack and Elisa D. Mekler. 2020. Self-Determination Theory in HCI Games Research: Current Uses and Open Questions. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (2020), 1--22. https://doi.org/10.1145/3313831.3376723Google ScholarDigital Library
- Niels Van Berkel, Jorge Goncalves, Simo Hosio, and Vassilis Kostakos. 2017. Gamification of mobile experience sampling improves data quality and quantity. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 1, 3 (2017), 1--21.Google ScholarDigital Library
- Carien M. van Reekum, Tom Johnstone, Rainer Banse, Alexander Etter, Thomas Wehrle, and Klaus R. Scherer. 2004. Psychophysiological Responses to Appraisal Dimensions in a Computer Game. Cognition and Emotion, Vol. 18, 5 (2004), 663--688. https://doi.org/10.1080/02699930341000167Google ScholarCross Ref
- David Watson, Lee Anna Clark, and Auke Tellegen. 1988. Development and Validation of Brief Measures of Positive and Negative Affect: The PANAS Scales. Journal of Personality and Social Psychology, Vol. 54, 6 (1988), 1063--1070. https://doi.org/10.1037/0022--3514.54.6.1063 arxiv: arXiv:1011.1669v3Google ScholarCross Ref
Index Terms
- Do Hexad User Types Matter? Effects of (Non-) Personalized Gamification on Task Performance and User Experience in an Image Tagging Task
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