Learning science in a virtual reality application: The impacts of animated-virtual actors' visual complexity

Computers and Education

Volumn 55, Issue 2, 2010, Pages 881-891

  Kartiko, Iwan ^a   Kavakli, Manolya ^a   Cheng, Ken ^a  

^a MACQUARIE UNIVERSITY   (Australia)

Author keywords

Applications of animated virtual actors; Evaluation of CAL systems; Human computer interface; Multimedia hypermedia systems; Virtual reality

Indexed keywords

EVALUATION OF CAL SYSTEMS; HUMAN COMPUTER INTERFACES; MULTIMEDIA/HYPERMEDIA SYSTEMS; VIRTUAL ACTORS;

COMPUTER SUPPORTED COOPERATIVE WORK;

VIRTUAL REALITY;

EID: 77953144820     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2010.03.019     Document Type: Article

References (64)

1. Baddeley A.D. Human memory: Theory and practice (1998), Allyn and Bacon, Needham Heights, MA, revised edition
2. Blender Foundation. Blender. Available from (2009). http://www.blender.org/ Accessed on November 2009
3. Brand S., Reimer T., and Opwis K. How do we learn in a negative mood? Effects of a negative mood on transfer and learning. Learning and Instruction 17 1 (2007) 1-16
4. Cliff N. Dominance statistics: ordinal analyses to answer ordinal questions. Psychological Bulletin 114 3 (1993) 494-509
5. Csikszentmihalyi M. Flow: The psychology of optimal experience (1990), BasicBooks, New York
6. Csikszentmihalyi M. Finding flow: The psychology of engagement with everyday life (1997), Harper and Row, New York
7. Dewey J. Interest and effort in education (1913), Houghton Mifflin, Cambridge Boston, MA 1913
8. Donderi D.C. Visual complexity: a review. Psychological Bulletin 132 1 (2006) 73-97
9. Dunsworth Q., and Atkinson R.K. Fostering multimedia learning of science: exploring the role of an animated agent's image. Computers & Education 49 3 (2007) 677-690
10. E-on software. Vue 6 esprit: the art of natural 3D!. Available from (2006). http://www.e-onsoftware.com/ Accessed on November 2009
11. Gimp Development Team. GIMP - GNU image manipulation program. Available from (2009). http://www.gimp.org/ Accessed on November 2009
12. Gulz A., and Haake M. Design of animated pedagogical agents-a look at their look. International Journal of Human-Computer Studies 64 4 (2006) 322-339
13. Harp S.F., and Mayer R.E. The role of interest in learning from scientific text and illustrations: on the distinction between emotional interest and cognitive interest. Journal of Educational Psychology 89 1 (1997) 92-102
14. Harp S.F., and Mayer R.E. How seductive details do their damage: a theory of cognitive interest in science learning. Journal of Educational Psychology 90 3 (1998) 414-434
15. Hoffler T.N., and Leutner D. Instructional animation versus static pictures: a meta-analysis. Learning and Instruction 17 6 (2007) 722-738
16. Holmes J. Designing agents to support learning by explaining. Computers & Education 48 4 (2007) 523-547
17. Inkscape Development Team. Inkscape - open source scalable vector graphics editor. Available from (2009). http://www.inkscape.org/ Accessed on November 2009
18. Johnson W.L., and Rickel J. Steve: an animated pedagogical agent for procedural training in virtual environments. SIGART Bulletin 8 1-4 (1997) 16-21
19. Kartiko I., and Kavakli M. Virtual reality police training how much visual information is too much for knowledge transfer?. 2nd International Conference on Cybercrime Forensics Education & Training (2008), Canterbury Christ Church University, Canterbury, United Kingdom 1-2 September
20. Kartiko I., Kavakli M., and Cheng K. The impacts of animated-virtual actors' visual complexity and simulator sickness in virtual reality applications. Proceedings of the 2009 6th international conference computer graphics, imaging and visualization (2009), IEEE Computer Society 147-152
21. Kavakli M., Gero J.S., et al. Strategic knowledge differences between an expert and a novice designer. In: Lindemann U. (Ed). Human behaviour in design (2003), Springer. 3-540-40632-8 42-51
22. Kavakli M., Szilas N., Porte J., and Kartiko I. Riskman: A multi-agent system for risk management (2007), Architectural Design of Multi-Agent Systems. Information Science Reference
23. Kennedy R.S., Lane N.E., Bream K.S., and Lilienthal M.G. Simulator sickness questionnaire: an enhanced method for quantifying simulator sickness. International Journal of Aviation Psychology 3 3 (1993) 203-220
24. Krijn M., Emmelkamp P.M.G., Biemond R., de Wilde de Ligny C., Schuemie M.J., and van der Mast C.A.P.G. Treatment of acrophobia in virtual reality: the role of immersion and presence. Behaviour Research and Therapy 42 2 (2004) 229-239
25. Lee B.-C., Yoon J.-O., and Lee I. Learners' acceptance of e-learning in South Korea: theories and results. Computers & Education 53 4 (2009) 1-44
26. Lester J.C., Converse S.A., Kahler S.E., Barlow S.T., Stone B.A., and Bhogal R.S. The persona effect: affective impact of animated pedagogical agents. CHI '97: Proceedings of the SIGCHI conference on Human factors in computing systems (1997), ACM Press 359-366
27. Lester J.C., Stone B.A., and Stelling G.D. Lifelike pedagogical agents for mixed-initiative problem solving in constructivist learning environments. User Modeling and User-Adapted Interaction 9 1 (1999) 1-44
28. Lin J.J.-W., Duh H.B., Parker D.E., Abi-Rached H., and Furness T.A. Effects of field of view on presence, enjoyment, memory, and simulator sickness in a virtual environment. Proceedings of the IEEE virtual reality 2002 (VR'02) (2002)
29. Liu S.-H., Liao H.-L., and Pratt J.A. Impact of media richness and flow on e-learning technology acceptance. Computers & Education 52 3 (2009) 599-607
30. Lusk M.M., and Atkinson R.K. Animated pedagogical agents: does their degree of embodiment impact learning from static or animated worked examples?. Applied Cognitive Psychology 21 6 (2007) 747-764
31. Mayer R.E. Multimedia learning (2001), Cambridge Press
32. Mayer R.E. The promise of multimedia learning: using the same instructional design methods across different media. Learning and Instruction 13 2 (2003) 125-139
33. Mayer R.E., Heiser J., and Lonn S. Cognitive constraints on multimedia learning: when presenting more material results in less understanding. Journal of Educational Psychology 93 1 (2001) 187-198
34. Mikropoulos T. Presence: a unique characteristic in educational virtual environments. Virtual Reality 10 3 (2006) 197-206
35. Mikropoulos T.A., and Strouboulis V. Factors that influence presence in educational virtual environments. Cyber Psychology & Behavior 7 5 (2004) 582-591
36. Miller G.A. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review 63 2 (1956) 81-97
37. Moreno R. Optimising learning from animations by minimising cognitive load: cognitive and affective consequences of signalling and segmentation methods. Applied Cognitive Psychology 21 6 (2007) 765-781
38. Moreno R., and Flowerday T. Student's choice of animated pedagogical agents in science learning: a test of the similarity-attraction hypothesis on gender and ethnicity. Contemporary Educational Psychology 31 2 (2006) 186-207
39. Moreno R., and Mayer R.E. Learning science in virtual reality multimedia environments: role of methods and media. Journal of Educational Psychology 94 3 (2002) 598-610
40. Novak T.P., Hoffman D.L., and Yung Y.-F. Measuring the customer experience in online environments: a structural modeling approach. Marketing Science 19 1 (2000) 22-42
41. Nowak K.L., and Rauh C. Choose your "buddy icon" carefully: the influence of avatar androgyny, anthropomorphism and credibility in online interactions. Computers in Human Behavior 24 4 (2008) 1473-1493
42. Paivio A. Mental representations: A dual coding approach (1986), Oxford University Press, Oxford, England
43. Picard R.W., Papert S., Bender W., Blumberg B., Breazeal C., Cavallo D., et al. Affective learning - a manifesto. BT Technology Journal 22 4 (2004) 253-269
44. Pintrich P.R. Motivation and classroom learning (2003), Wiley, New York
45. R Development Core Team. R: A language and environment for statistical computing. Available from (2008), R Foundation for Statistical Computing, Vienna, Austria. http://www.r-project.org/ Accessed on November 2009
46. Regenbrecht H.T., Schubert T.W., and Friedmann F. Measuring the sense of presence and its relations to fear of heights in virtual environments. International Journal of Human-Computer Interaction 10 3 (1998) 233-249
47. Richards D., Dras M., Porte J., and Meredith T. The role, measurement and delivery of immersion in training environments (2009), SimTecT 2009 Simulation Conference: Simulation - Concepts, Capability and Technology, Adelaide, Australia
48. Roberts, M. N. (2007). Complexity and aesthetic preference for diverse visual stimuli, PhD thesis, Departament de Psicologia, Universitat de les Illes Balears.
49. Russell J.A. Core affect and the psychological construction of emotion. Psychological Review 110 1 (2003) 145-172
50. Russell J.A., and Pratt G. A description of the affective quality attributed to environments. Journal of Personality and Social Psychology 38 2 (1980) 311-322
51. Sadowski W., and Stanney K.M. Handbook of virtual environments: Design, implementation, and applications (2002), Lawrence Erlbaum Associates, Inc chapter Presence in virtual environments
52. Sanchez-Franco M.J. WebCT - the quasimoderating effect of perceived affective quality on an extending technology acceptance model. Computers & Education 54 1 (2010) 37-46
53. Stanney K.M., Kingdon K.S., Graeber D., and Kennedy R.S. Human performance in immersive virtual environments: effects of exposure duration, user control, and scene complexity. Human Performance 15 4 (2002) 339-366
54. Sweller J. Instructional design in technical areas (1999), ACER, Camberwell, Australia
55. Takatalo J., Nyman G., and Laaksonen L. Components of human experience in virtual environments. Computers in Human Behaviour 24 1 (2008) 1-15
56. Wagner D., Billinghurst M., and Schmalstieg D. How real should virtual characters be?. ACE '06: Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology (2006)
57. Wehner R. Desert ant navigation: how miniature brains solve complex tasks. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural and Behavioural Physiology 189 8 (2003) 579-588
58. Whitelock D., Romano D., Jelfs A., and Brna P. Perfect presence: what does this mean for the design of virtual learning environments?. Education and Information Technologies 5 4 (2000) 277-289
59. Witmer B.G., and Singer M.J. Measuring presence in virtual environments: a presence questionnaire. Presence: Teleopeator and Virtual Environment 7 3 (1998) 225-240
60. Wittlinger M., Wehner R., and Wolf H. The desert ant odometer: a stride integrator that accounts for stride length and walking speed. Journal of Experimental Biology 210 2 (2007) 198-207
61. Wittrock M.C. Generative process of comprehension. Educational Psychologist 24 4 (1989) 345-376
62. Worldviz. Vizard: virtual reality toolkit. Available from (2009). http://www.worldviz.com/ Accessed on November 2009
63. Zhang P., and Li N. The importance of affective quality. Communications of the ACM 48 9 (2005) 105-108
64. Zollikofer C.P.E. Stepping patterns in ants: influence of speed and curvature. Journal of Experimental Biology 192 1 (1994) 95-106