Abstract
In virtual experiential learning environment (VELE), distraction can reduce learners’ flow experience, learning performance, and the link between them, which are important aspects for high-quality learning. Based on the weak association model (WAM), we proposed two potential guidelines to deal with distraction and then improve these aspects. Guideline1 is directly decreasing the amount of attractive but task-irrelevant distractors in VELE. Guideline2 is enhancing the congruence between distractors and primary task by guiding attention from task-irrelevant distractors to task-relevant elements. To explore the effect of the guidelines, this paper develops a prototype VR experiential learning system, based on which two experiments were performed. Experiment 1 and experiment 2, respectively, conducted a comparative experiment to test the effect of guideline 1 and guideline 2 on flow, performance, and flow-performance link. Results show that both guidelines helped enhance the learning performance without any damage on flow experience and alleviated the weak flow-performance link. The two guidelines provide easy ways to guide task-relevant attention to optimize VELE.
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References
Alhalabi W (2016) Virtual reality systems enhance students’ achievements in engineering education. Behav Inf Technol 35(11):919–925
Alvarez A (2018) Experiential knowledge and project-based learning in bilingual classrooms. Occasional Paper Series 2018(39):8
Assfalg J, Del Bimbo A, Vicario E (2002) Using 3d and ancillary media to train construction workers. IEEE Multimedia 9(2):88–92
Baran M, Chignell M (2006) Differences in cognitive ability and preference mediate effects of interruptions on simulated driving performance. In: Proceedings of the human factors and ergonomics society annual meeting. SAGE Publications Sage CA: Los Angeles, CA, pp 2008–2011
Bian Y, Yang C, Gao F, Li H, Zhou S, Li H, Sun X, Meng X (2016) A framework for physiological indicators of flow in vr games: construction and preliminary evaluation. Pers Ubiquit Comput 20(5):821–832
Bian Y, Yang C, Guan D, Xiao S, Gao F, Shen C, Meng X (2016) Effects of pedagogical agent’s personality and emotional feedback strategy on chinese students’ learning experiences and performance: a study based on virtual Tai Chi training studio. Association for Computing Machinery, New York, NY, USA, pp 433–444
Bian Y, Yang C, Zhou C, Liu J, Gai W, Meng X, Tian F, Shen C (2018) Exploring the weak association between flow experience and performance in virtual environments. In: Proceedings of the 2018 CHI conference on human factors in computing systems, pp 1–12
Bian Y, Zhou C, Chen Y, Zhao Y, Liu J, Yang C, Meng X (2019) Explore the weak association between flow and performance based on a visual search task paradigm in virtual reality. In: 2019 IEEE conference on virtual reality and 3D user interfaces (VR). IEEE, pp 852–853
Bian Y, Zhou C, Chen Y, Zhao Y, Liu J, Yang C (2020) The role of the field dependence-independence construct on the flow-performance link in virtual reality. In: Symposium on interactive 3D graphics and games, pp 1–9
Bressler DM, Bodzin AM (2013) A mixed methods assessment of students’ flow experiences during a mobile augmented reality science game. J Comput Assist Learn 29(6):505–517
Cheng KH, Tsai CC (2014) Children and parents’ reading of an augmented reality picture book: analyses of behavioral patterns and cognitive attainment. Comput Educ 72:302–312
Cheng LK, Chieng MH, Chieng WH (2014) Measuring virtual experience in a three-dimensional virtual reality interactive simulator environment: a structural equation modeling approach. Virtual Reality 18(3):173–188
Choi B, Baek Y (2011) Exploring factors of media characteristic influencing flow in learning through virtual worlds. Comput Educ 57(4):2382–2394
Coyle JR, Thorson E (2001) The effects of progressive levels of interactivity and vividness in web marketing sites. J Advert 30(3):65–77
Csikszentmihalyi M, Csikzentmihaly M (1990) Flow: the psychology of optimal experience, vol 1990. Harper & Row New York
Dourish P (2004) Where the action is: the foundations of embodied interaction. MIT press
Engeser S, Rheinberg F (2008) Flow, performance and moderators of challenge-skill balance. Motivation & Emotion 32(3):158–172
Engeser S, Rheinberg F, Vollmeyer R, Bischoff J (2005) Motivation, flow-erleben und lernleistung in universitären lernsettings. Zeitschrift für pädagogische Psychologie 19(3):159–172
Engeser SE (2012) Advances in flow research. Springer Science+ Business Media
Esteban-Millat I, Martínez-López FJ, Huertas-García R, Meseguer A, Rodríguez-Ardura I (2014) Modelling students’ flow experiences in an online learning environment. Comput Educ 71:111–123
Flynn EA, Barker KN, Gibson JT, Pearson RE, Berger BA, Smith LA (1999) Impact of interruptions and distractions on dispensing errors in an ambulatory care pharmacy. Am J Health Syst Pharm 56(13):1319–1325
Fortin DR, Dholakia RR (2005) Interactivity and vividness effects on social presence and involvement with a web-based advertisement. J Bus Res 58(3):387–396
Furió D, Juan MC, Seguí I, Vivó R (2015) Mobile learning vs. traditional classroom lessons: a comparative study. J Comput Assist Learn 31(3):189–201
Gai W, Yang C, Bian Y, Shen C, Meng X, Wang L, Liu J, Dong M, Niu C, Lin C (2017) Supporting easy physical-to-virtual creation of mobile vr maze games: A new genre. In: Proceedings of the 2017 CHI conference on human factors in computing systems, pp 5016–5028
Ghani JA, Deshpande SP (1994) Task characteristics and the experience of optimal flow in human-computer interaction. J Psychol 128(4):381–391
Giesbrecht B, Sy J, Bundesen C, Kyllingsbæk S (2014) A new perspective on the perceptual selectivity of attention under load. Ann N Y Acad Sci 1316(1):71–86
Grogorick S, Albuquerque G, Maqnor M (2018) Gaze guidance in immersive environments. In: 2018 IEEE conference on virtual reality and 3D user interfaces (VR). IEEE, pp 563–564
Hsu TC (2017) Learning english with augmented reality: do learning styles matter? Comput Educ 106:137–149
Huang HM, Liaw SS, Lai CM (2016) Exploring learner acceptance of the use of virtual reality in medical education: a case study of desktop and projection-based display systems. Interact Learn Environ 24(1):3–19
Huang LT, Chiu CA, Sung K, Farn CK (2011) A comparative study on the flow experience in web-based and text-based interaction environments. Cyberpsychol Behav Soc Netw 14(1–2):3–11
Huang WH, Huang WY, Tschopp J (2010) Sustaining iterative game playing processes in dgbl: the relationship between motivational processing and outcome processing. Comput Educ 55(2):789–797
Huang-Pollock CL, Nigg JT, Carr TH (2005) Deficient attention is hard to find: applying the perceptual load model of selective attention to attention deficit hyperactivity disorder subtypes. J Child Psychol Psychiatry 46(11):1211–1218
Hung CY, Sun JCY, Yu PT (2015) The benefits of a challenge: student motivation and flow experience in tablet-pc-game-based learning. Interact Learn Environ 23(2):172–190
Hwang GJ, Wu PH, Chen CC (2012) An online game approach for improving students’ learning performance in web-based problem-solving activities. Comput Educ 59(4):1246–1256
Johnson LF, Levine A, Smith RS, Haywood K (2010) Key emerging technologies for postsecondary education. Educ Dig 76(2):34–38
Kiili K (2005) Digital game-based learning: towards an experiential gaming model. Internet Higher Educ 8(1):13–24
Kilteni K, Groten R, Slater M (2012) The sense of embodiment in virtual reality. Presence Teleoperators Virtual Environ 21(4):373–387
Kim J, Kim W, Ahn S, Kim J, Lee S (2018) Virtual reality sickness predictor: analysis of visual-vestibular conflict and vr contents. In: 2018 tenth international conference on quality of multimedia experience (QoMEX), pp 1–6
Kim M, Jeong JS, Park C, Jang RH, Yoo KH (2012) A situated experiential learning system based on a real-time 3d virtual studio. In: Pacific Rim knowledge acquisition workshop. Springer, pp 364–371
Kim T, Biocca F (1997) Telepresence via television: two dimensions of telepresence may have different connections to memory and persuasion. J Comput -mediated Commun 3(2):JCMC325
Klein LR (2003) Creating virtual product experiences: the role of telepresence. J Interact Mark 17(1):41–55
Kolb D (1984) Experiential learning, englewood cliffs: Ed
Lambooij M, IJsselsteijn W, Bouwhuis DG, Heynderickx I, (2011) Evaluation of stereoscopic images: beyond 2d quality. IEEE Trans Broadcast 57(2):432–444
Lambooij M, Murdoch M, IJsselsteijn WA, Heynderickx I, (2013) The impact of video characteristics and subtitles on visual comfort of 3d tv. Displays 34(1):8–16
Lavie N, Fockert JWD (2003) Contrasting effects of sensory limits and capacity limits in visual selective attention. Percept Psychophys 65(2):202–12
Lavie N, Tsal Y (1994) Perceptual load as a major determinant of the locus of selection in visual attention. Percept Psychophys 56(2):183–197
Lee EC, Cho YH, Lee IK (2019) Simulating water resistance in a virtual underwater experience using a visual motion delay effect. In: 2019 IEEE conference on virtual reality and 3D user interfaces (VR). IEEE, pp 259–266
Li H, Daugherty T, Biocca F (2001) Characteristics of virtual experience in electronic commerce: a protocol analysis. J Interact Mark 15(3):13–30
Liu J, Bian Y, Yuan Y, Xi Y, Geng W, Jin X, Gai W, Fan X, Tian F, Meng X et al (2021) Designing and deploying a mixed-reality aquarium for cognitive training of young children with autism spectrum disorder. SCIENCE CHINA Inf Sci 64(5):1–3
Liu TC, Lin YC, Tsai MJ, Paas F (2012) Split-attention and redundancy effects on mobile learning in physical environments. Comput Educ 58(1):172–180
Marshall P, Antle A, Hoven EVD, Rogers Y (2013) Introduction to the special issue on the theory and practice of embodied interaction in HCI and interaction design
Martín-Gutiérrez J, Mora CE, Añorbe-Díaz B, González-Marrero A (2017) Virtual technologies trends in education. EURASIA J Math Sci Technol Educ 13(2):469–486
McKenna FP, Duncan J, Brown ID (1986) Cognitive abilities and safety on the road: a re-examination of individual differences in dichotic listening and search for embedded figures. Ergonomics 29(5):649–663
Mohammadyari S, Singh H (2015) Understanding the effect of e-learning on individual performance: the role of digital literacy. Comput Educ 82:11–25
Norman DA, Bobrow DG (1975) On data-limited and resource-limited processes. Cogn Psychol 7(1):44–64
Parmar D, Bertrand J, Babu SV, Madathil K, Zelaya M, Wang T, Wagner J, Gramopadhye AK, Frady K (2016) A comparative evaluation of viewing metaphors on psychophysical skills education in an interactive virtual environment. Virtual Reality 20(3):141–157
Pelargos PE, Nagasawa DT, Lagman C, Tenn S, Demos JV, Lee SJ, Bui TT, Barnette NE, Bhatt NS, Ung N et al (2017) Utilizing virtual and augmented reality for educational and clinical enhancements in neurosurgery. J Clin Neurosci 35:1–4
Raptis G, E, Fidas C, Avouris N (2018) Effects of mixed-reality on players’ behaviour and immersion in a cultural tourism game: a cognitive processing perspective. Int J Hum Comput Stud
Renner P, Pfeiffer T (2018) Attention guiding using augmented reality in complex environments. In: 2018 IEEE conference on virtual reality and 3D user interfaces (VR). IEEE, pp 771–772
Sayed N, Zayed HH, Sharawy MI (2011) Arsc: augmented reality student card an augmented reality solution for the education field. Comput Educ 56(4):1045–1061
Schüler J (2007) Arousal of flow experience in a learning setting and its effects on exam performance and affect. Zeitschrift für Pädagogische Psychologie 21(3/4):217–227
Schüler J, Brunner S (2009) The rewarding effect of flow experience on performance in a marathon race. Psychol Sport Exerc 10(1):168–174
Shin DH, Biocca F, Choo H (2013) Exploring the user experience of three-dimensional virtual learning environments. Behav Inf Technol 32(2):203–214
Skadberg YX, Kimmel JR (2004) Visitors’ flow experience while browsing a web site: its measurement, contributing factors and consequences. Comput Hum Behav 20(3):403–422
Sung HY, Hwang GJ (2013) A collaborative game-based learning approach to improving students’ learning performance in science courses. Comput Educ 63:43–51
Sweetser P, Wyeth P (2005) Gameflow: a model for evaluating player enjoyment in games. Comput Entertain (CIE) 3(3):3
Tang Y, Au K, Leung Y (2018) Comprehending products with mixed reality: geometric relationships and creativity. Int J Eng Bus Manag 10:1847979018809599
Waltemate T, Gall D, Roth D, Botsch M, Latoschik ME (2018) The impact of avatar personalization and immersion on virtual body ownership, presence, and emotional response. IEEE Trans Vis Comput Graph pp 1
Wang LC, Chen MP (2010) The effects of game strategy and preference-matching on flow experience and programming performance in game-based learning. Innov Educ Teach Int 47(1):39–52
Ward CC (2004) Relation of shyness with aspects of online relationship involvement. J Soc Pers Relat 21(5):611–623
Webster J, Trevino LK, Ryan L (1993) The dimensionality and correlates of flow in human-computer interactions. Comput Hum Behav 9(4):411–426
Wei X, Weng D, Liu Y, Wang Y (2015) Teaching based on augmented reality for a technical creative design course. Comput Educ 81:221–234
Welch RB, Blackmon TT, Liu A, Mellers BA, Stark LW (1996) The effects of pictorial realism, delay of visual feedback, and observer interactivity on the subjective sense of presence. Presence Teleoperators Virtual Environ 5(3):263–273
Wickens CD (1980) The structure of attentional resources. Attention Perform VIII 8:239–257
Yantis S, Johnston JC (1990) On the locus of visual selection: evidence from focused attention tasks. J Exp Psychol Hum Percept Perform 16(1):135–149
Zhang T, Li YT, Wachs JP (2016) The effect of embodied interaction in visual-spatial navigation. ACM Trans Interact Intell Syst (TiiS) 7(1):1–36
Zhou C, Li H, Bian Y (2020) Identifying the optimal 3d display technology for hands-on virtual experiential learning: a comparison study. IEEE Access PP(99):1
Zhou F, Duh HBL, Billinghurst M (2008) Trends in augmented reality tracking, interaction and display: a review of ten years of Ismar. In: 2008 7th IEEE/ACM international symposium on mixed and augmented reality. IEEE, pp 193–202
Acknowledgements
The authors would like to thank the editor and the three anonymous reviewers for their valuable comments on earlier drafts of this paper. The authors thank Prof. Chenglei Yang for the financial support; Prof. Sheng Li and Mrs. Dongli Li for the help in preparing and revising paper. This work is supported by the National Natural Science Foundation of China (61802232;61972233); the postdoctoral research foundation of china (2021TQ0178), Young Scholars Program of Shandong University,Weihai (20820211005) and Special Project of Science and Technology Innovation Base of Key Laboratory of Shandong Province for Software Engineering (11480004042015).
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Conceptualization, Yulong Bian and Chao Zhou; methodology, Yulong Bian and Chao Zhou; software, Juan Liu and Wenxiu Geng; validation, Juan Liu and Ying Shi; formal analysis, Yulong Bian and Ying Shi; investigation, Wenxiu Geng; resources, Yulong Bian; data curation, Yulong Bian and Juan Liu; writing-original draft preparation, Yulong Bian and Chao Zhou; writing-review and editing, Yulong Bian; visualization,Juan Liu; supervision, Juan Liu; project administration, Yulong Bian; funding acquisition, Chao Zhou and Yulong Bian. All authors have read and agreed to the published version of the manuscript.
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The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of The Jining First People’s Hospital, China. Written consent was obtained from all participants.
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Bian, Y., Zhou, C., Liu, J. et al. The effect of reducing distraction on the flow-performance link in virtual experiential learning environment. Virtual Reality 26, 1277–1290 (2022). https://doi.org/10.1007/s10055-021-00621-3
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DOI: https://doi.org/10.1007/s10055-021-00621-3