Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Attention Guidance Strategies for Supporting Learning from Dynamic Visualizations

  • Chapter
  • First Online:
Learning from Dynamic Visualization

Abstract

Learning from dynamic visualizations can pose distinct perceptual and cognitive processing challenges to learners that hinder those who lack relevant domain knowledge in making optimal choices about what information in the dynamic display should be attended to. Such learners therefore likely miss the essential information required for developing an accurate and complete understanding of the depicted content. As a result, attention guidance strategies, which have long been a feature of static educational visualizations, have been the subject of increasing interest from researchers as a means of helping learners to extract task-relevant information from a dynamic visualization. This chapter discusses three different approaches to attention guidance that have been explored in research on learning from dynamic visualizations: (1) cueing, (2) eye movement modeling examples, and (3) gesturing. For each of these types of attention guidance, the main findings from empirical research regarding its effects on perceptual and cognitive processing of a dynamic visualization are discussed. These findings suggest that attention guidance can engender more appropriate forms of attention direction. However, the extent to which attention guidance facilitates perceptual and/or cognitive processing depends on the approach taken to guide learners’ attention. Implications for research as well as for the design and practical use of attention guidance strategies to increase effective learning from dynamic visualizations are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    It should be noted that not all researchers see the verbal explanation as an inherent part of EMME. The initial idea by Van Gog et al. (2009a) expected both aspects to be necessary, assuming that people cannot “read” another person’s eye movements easily.

References

  • Amadieu, F., Mariné, C., & Laimay, C. (2011). The attention-guiding effect and cognitive load in the comprehension of animations. Computers in Human Behavior, 27, 36–40.

    Article  Google Scholar 

  • Balslev, T., Jarodzka, H., Holmqvist, K., De Grave, W., Muijtjens, A., Eika, B., et al. (2012). Visual expertise in paediatric neurology. European Journal of Paediatric Neurology, 16, 161–166.

    Article  Google Scholar 

  • Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Bandura, A., Ross, D., & Ross, S. A. (1961). Transmission of aggression through imitation of aggressive models. The Journal of Abnormal and Social Psychology, 63, 575.

    Article  Google Scholar 

  • Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59, 617–645.

    Article  Google Scholar 

  • Bednarik, R., Gowases, T., & Tukiainen, M. (2013). Gaze-augmented interaction improves problem-solving: New evidence from verbal protocols. Behaviour & Information Technology, 32, 836–844.

    Article  Google Scholar 

  • Berney, S., & Bétrancourt, M. (2017). Learning three-dimensional anatomical structures with animation: Effects of orientation references and learners' spatial ability. In R. Lowe & R. Ploetzner (Eds.), Learning from dynamic visualization – Innovations in research and application. Berlin: Springer (this volume).

    Google Scholar 

  • Bétrancourt, M. (2005). The animation and interactivity principles in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 287–296). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Boucheix, J.-M., & Lowe, R. K. (2010). An eye tracking comparison of external pointing cues and internal continuous cues in learning with complex animations. Learning and Instruction, 20, 123–135.

    Article  Google Scholar 

  • Boucheix, J.-M., Lowe, R. K., Putri, D. K., & Groff, J. (2013). Cueing animations: Dynamic signaling aids information extraction and comprehension. Learning and Instruction, 25, 71–84.

    Article  Google Scholar 

  • Chi, M. T. H. (2006). Two approaches to the study of experts’ characteristics. In K. A. Ericsson, N. Charness, R. R. Hoffman, & P. J. Feltovich (Eds.), The Cambridge handbook of expertise and expert performance (pp. 21–30). Cambridge: University Press.

    Chapter  Google Scholar 

  • Chu, M., & Kita, S. (2011). The nature of gestures' beneficial role in spatial problem solving. Journal of Experimental Psychology: General, 140, 102–115.

    Article  Google Scholar 

  • Collins, A., Brown, J. S., & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction (pp. 453–494). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • De Koning, B. B., & Tabbers, H. K. (2011). Facilitating understanding of movements in dynamic visualizations: An embodied perspective. Educational Psychology Review, 23, 501–521.

    Article  Google Scholar 

  • De Koning, B. B., & Tabbers, H. K. (2013). Gestures in instructional animations: A helping hand to understanding non-human movements? Applied Cognitive Psychology, 27, 683–689.

    Google Scholar 

  • De Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2007). Attention cueing as a means to enhance learning from an animation. Applied Cognitive Psychology, 21, 731–746.

    Article  Google Scholar 

  • De Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2009). Towards a framework for attention cueing in instructional animations: Guidelines for research and design. Educational Psychology Review, 21, 113–140.

    Article  Google Scholar 

  • De Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2010a). Attention guidance in learning from a complex animation: Seeing is understanding? Learning and Instruction, 20, 111–122.

    Article  Google Scholar 

  • De Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2010b). Learning by generating vs. receiving instructional explanations: Two approaches to enhance attention cueing in animations. Computers & Education, 55, 681–691.

    Article  Google Scholar 

  • De Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2011). Improved effectiveness of cueing by self-explanations when learning from a complex instructional animation. Applied Cognitive Psychology, 25, 183–194.

    Article  Google Scholar 

  • Dorr, M., Jarodzka, H., & Barth, E. (2010). Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning. In C. Morimoto & H. Instance (Eds.), Proceedings of Eye tracking research & applications ETRA ‘10 (pp. 307–314). New York: ACM Press.

    Google Scholar 

  • Dorr, M., Vig, E., Gegenfurtner, K. R., Martinetz, T., & Barth, E. (2008). Eye movement modelling and gaze guidance. Fourth International Workshop on Human-Computer Conversation.

    Google Scholar 

  • Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.

    Google Scholar 

  • Fonseca, B. A., & Chi, M. T. H. (2010). Instruction based on self-explanation. In R. E. Mayer & P. Alexander (Eds.), The handbook of research on learning and instruction (pp. 296–321). New York: Routledge Press.

    Google Scholar 

  • Grant, E. R., & Spivey, M. J. (2003). Eye movements and problem solving: Guiding attention guides thought. Psychological Science, 14, 462–466.

    Google Scholar 

  • Gregory, N. L., & Hodgson, T. L. (2012). Giving subjects the eye and showing them the finger: Socio-biological cues and saccade generation in the anti-saccade task. Perception, 41, 131–147.

    Article  Google Scholar 

  • Hegarty, M., Mayer, S., Kriz, S., & Keehner, M. (2005). The role of gestures in mental animation. Spatial Cognition and Computation, 5, 333–356.

    Article  Google Scholar 

  • Holmqvist, K., Nyström, N., Andersson, R., Dewhurst, R., Jarodzka, H., & Van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures. Oxford, UK: Oxford University Press.

    Google Scholar 

  • International League Against Epilepsy. (2010). Revised terminology and concepts for organization of the epilepsies: Report of the commission on classification and terminology. Epilepsia, 51, 676–685.

    Article  Google Scholar 

  • Jamet, E. (2014). An eye-tracking study of cueing effects in multimedia learning. Computers in Human Behavior, 32, 47–53.

    Article  Google Scholar 

  • Jarodzka, H., Balslev, T., Holmqvist, K., Scheiter, K., Nyström, M., Gerjets, P., et al. (2012). Conveying clinical reasoning based on visual observation via eye-movement modelling examples. Instructional Science, 40, 813–827.

    Article  Google Scholar 

  • Jarodzka, H., Scheiter, K., Gerjets, P., & Van Gog, T. (2010). In the eyes of the beholder: How experts and novices interpret dynamic stimuli. Learning and Instruction, 20, 146–154.

    Article  Google Scholar 

  • Jarodzka, H., van Gog, T., Dorr, M., Scheiter, K., & Gerjets, P. (2013). Learning to see: Guiding students’ attention via a model’s eye movements fosters learning. Learning and Instruction, 25, 62–70.

    Article  Google Scholar 

  • Johnson, A. M., Ozogul, G., Moreno, R., & Reisslein, M. (2013). Pedagogical agent signaling of multiple visual engineering representations: The case of the young female agent. Journal of Engineering Education, 102, 319–337.

    Article  Google Scholar 

  • Johnson, A. M., Ozogul, G., & Reisslein, M. (2015). Supporting multimedia learning with visual signalling and animated pedagogical agent: Moderating effects of prior knowledge. Journal of Computer Assisted Learning, 31, 97–115.

    Article  Google Scholar 

  • Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75–86.

    Article  Google Scholar 

  • Kriz, S., & Hegarty, M. (2007). Top-down and bottom-up influences on learning from animations. International Journal of Human Computer Studies, 65, 911–930.

    Article  Google Scholar 

  • Kuhn, G., & Martinez, L. M. (2011). Misdirection – Past, present, and the future. Frontiers in Human Neuroscience, 5, 172.

    Google Scholar 

  • Lemarié, J., Lorch, R. F., Eyrolle, H., & Virbel, J. (2008). SARA: A text-based and reader-based theory of text signaling. Educational Psychologist, 43, 27–48.

    Article  Google Scholar 

  • Lin, L., & Atkinson, R. K. (2011). Using animations and visual cueing to support learning of scientific concepts and processes. Computers & Education, 56, 650–658.

    Article  Google Scholar 

  • Lin, L., Atkinson, R. K., Savenye, W. C., & Nelson, B. C. (2016). The effects of visual cues and self-explanation prompts: Empirical evidence in a multimedia environment. Interactive Learning Environments, 24, 799–813.

    Article  Google Scholar 

  • Lindsey, C. (1978). Form, function, and locomotory habits in fish. Fish Physiology, 7, 1–88.

    Article  Google Scholar 

  • Litchfield, D., & Ball, L. J. (2011). Using another’s gaze as an explicit aid to insight problem solving. The Quarterly Journal of Experimental Psychology, 64, 649–656.

    Article  Google Scholar 

  • Litchfield, D., Ball, L. J., Donovan, T., Manning, D. J., & Crawford, T. (2010). Viewing another person’s eye movements improves identification of pulmonary nodules in chest x-ray inspection. Journal of Experimental Psychology, 16, 251–262.

    Google Scholar 

  • Louwerse, M. M., Graesser, A. C., McNamara, D. S., & Lu, S. (2008). Embodied conversational agents as conversational partners. Applied Cognitive Psychology, 23, 1244–1255.

    Article  Google Scholar 

  • Lowe, R. K. (1999). Extracting information from an animation during complex visual learning. European Journal of Psychology of Education, 14, 225–244.

    Article  Google Scholar 

  • Lowe, R. K. (2003). Animation and learning: Selective processing of information in dynamic graphics. Learning and Instruction, 13, 157–176.

    Article  Google Scholar 

  • Lowe, R. K. (2004). Interrogation of a dynamic visualization during learning. Learning and Instruction, 14, 257–274.

    Article  Google Scholar 

  • Lowe, R., & Boucheix, J.-M. (2008a). Learning from animated diagrams: How are mental models built? In G. Stapleton, J. Howse, & J. Lee (Eds.), Diagrams 2008 – Lecture notes in computer science (Vol. 5223, pp. 266–281). Heidelberg: Springer.

    Google Scholar 

  • Lowe, R., & Boucheix, J.-M. (2008b). Supporting relational processing in complex animated diagrams. In G. Stapleton, J. Howse, & J. Lee (Eds.), Diagrams 2008 – Lecture notes in computer science (Vol. 5223, pp. 381–394). Heidelberg: Springer.

    Google Scholar 

  • Lowe, R. K., & Boucheix, J.-M. (2011). Cueing complex animations: Does direction of attention foster learning processes? Learning and Instruction, 21, 650–663.

    Article  Google Scholar 

  • Lowe, R., & Boucheix, J.-M. (2017). A composition approach to design of educational animations. In R. Lowe & R. Ploetzner (Eds.), Learning from dynamic visualization – Innovations in research and application. Berlin: Springer (this volume).

    Chapter  Google Scholar 

  • Lusk, M. M., & Atkinson, R. K. (2007). Varying a pedagogical agent’s degree of embodiment under two visual search conditions. Applied Cognitive Psychology, 21, 747–764.

    Article  Google Scholar 

  • Mautone, P. D., & Mayer, R. E. (2001). Signaling as a cognitive guide in multimedia learning. Journal of Educational Psychology, 93, 377–389.

    Article  Google Scholar 

  • Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York: Cambridge University Press.

    Book  Google Scholar 

  • Mayer, R. E. (Ed.). (2014). The Cambridge handbook of multimedia learning. New York: Cambridge University Press.

    Google Scholar 

  • Mayer, R. E., & DaPra, S. (2012). An embodiment effect in computer-based learning with animated pedagogical agents. Journal of Experimental Psychology: Applied, 18, 239–252.

    Google Scholar 

  • Meltzoff, A. N., & Moore, M. K. (1977). Imitation of facial and manual gestures by human neonates. Science, 198(4312), 75–78.

    Article  Google Scholar 

  • Moreno, R., Reisslein, M., & Ozogul, G. (2010). Using virtual peers to guide visual attention during learning: A test of the persona hypothesis. Journal of Media Psychology: Theories, Methods, and Applications, 22, 52–60.

    Article  Google Scholar 

  • Nyström, M., & Holmqvist, K. (2008). Semantic override of low-level features in image viewing – Both initially and overall. Journal of Eye Movement Research, 2(2), 2:1–2:11.

    Google Scholar 

  • Ploetzner, R., & Lowe, R. K. (2012). A systematic characterization of expository animations. Computers in Human Behavior, 28, 781–794.

    Article  Google Scholar 

  • Pluchino, P., Tornatora, M. C., & Mason, L. (2012). Improving text and picture integration during reading through eye movement modeling. Presentation during the 15th Biennial EARLI Conference, Munich, Germany.

    Google Scholar 

  • Richardson, D. C., & Dale, R. (2005). Looking to understand: The coupling between speakers’ and listeners’ eye movements and its relationship to discourse comprehension. Cognitive Science, 29, 1045–1060.

    Article  Google Scholar 

  • Schnotz, W., & Lowe, R. K (2008). A unified view of learning from animated and static graphics. In R. K. Lowe & W. Schnotz (Eds.), Learning with animation: Research implications for design (pp. 304–356). New York: Cambridge University Press.

    Google Scholar 

  • Skuballa, I. T., & Renkl, A. (2014). A non-verbal pre-training based on eye movements to foster comprehension of static and dynamic learning environments. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th annual conference of the cognitive science society (pp. 1443–1448). Austin, TX: Cognitive Science Society.

    Google Scholar 

  • Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York: Springer.

    Book  Google Scholar 

  • Tversky, B., Heiser, J., Mackenzie, R., Lozano, S., & Morrison, J. (2008). Enriching animations. In R. K. Lowe & W. Schnotz (Eds.), Learning with animation: Research implications for design (pp. 263–285). New York: Cambridge University Press.

    Google Scholar 

  • Van Gog, T. (2014). The signaling (or cueing) principle in multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (2nd ed., pp. 263–278). New York: Cambridge University Press.

    Google Scholar 

  • Van Gog, T., Jarodzka, H., Scheiter, K., Gerjets, P., & Paas, F. (2009a). Attention guidance during example study via the model’s eye movements. Computers in Human Behavior, 25, 785–791.

    Article  Google Scholar 

  • Van Gog, T., Paas, F., Marcus, N., Ayres, P., & Sweller, J. (2009b). The mirror-neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 21, 21–30.

    Article  Google Scholar 

  • Van Gog, T., Paas, F., & Van Merriënboer, J. J. G. (2004). Process-oriented worked examples: Improving transfer performance through enhanced understanding. Instructional Science, 32, 83–98.

    Article  Google Scholar 

  • Van Gog, T., & Rummel, N. (2010). Example-based learning: Integrating cognitive and social-cognitive research perspectives. Educational Psychology Review, 22, 155–174.

    Article  Google Scholar 

  • Van Marlen, T., Van Wermeskerken, M., Jarodzka, H., & Van Gog, T. (2014). Can eye movement modeling examples foster geometry learning? Poster presented at the EARLI Sig 6/7 conference, Rotterdam, The Netherlands.

    Google Scholar 

  • Vitak, S. A., Ingram, J. E., Duchowski, A. T., Ellis, S., & Gramopadhye, A. K. (2012). Gaze-augmented think-aloud as an aid to learning. In Proceedings of the 2012 ACM annual conference on human factors in computing systems (pp. 2991–3000). New York: ACM Press.

    Chapter  Google Scholar 

  • Wilson, M. R., Vine, S. J., Bright, E., Masters, R. S., Defriend, D., & McGrath, J. S. (2011). Gaze training enhances laparoscopic technical skill acquisition and multi-tasking performance: A randomized, controlled study. Surgical Endoscopy, 25, 3731–3739.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Björn B. de Koning .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

de Koning, B.B., Jarodzka, H. (2017). Attention Guidance Strategies for Supporting Learning from Dynamic Visualizations. In: Lowe, R., Ploetzner, R. (eds) Learning from Dynamic Visualization. Springer, Cham. https://doi.org/10.1007/978-3-319-56204-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-56204-9_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56202-5

  • Online ISBN: 978-3-319-56204-9

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics