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A review of eye-tracking applications as tools for training

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Abstract

Substantial literature exists regarding how eye-tracking systems can be used to measure cognitive load and how these measurements can be useful for adapting training in real time. Much of the published literature discusses the applications and limitations of the research and typically provides recommendations for improvement. This review assesses these articles collectively to provide a clearer solution for implementing eye-tracking systems into a training environment. Although limitations exist for using eye tracking as an interface tool, gaze and pupillary response have been successfully used to reflect changes in cognitive load and are starting to be incorporated into adaptive training systems, although issues are still present with differentiating pupil responses from simultaneous psychological effects. Additionally, current eye-tracking systems and data analysis software have proven accurate enough for general use, but issues including system cost and software integration prevent this technology from becoming commercialized for use in common instructional settings.

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References

  • Adams N, Witkowski M, Spence R (2008) The inspection of very large images by eye-gaze control. Paper presented at the Proceedings of the working conference on Advanced visual interfaces, Napoli

  • Alacam O (2010) Comparison strategies in different types of graphs. Master of Science, The Middle East Technical University

  • Alaçam Ö, Dalcı M (2009) A usability study of WebMaps with eye tracking tool: the effects of iconic representation of information. In: Jacko J (ed) Human-Computer interaction. New trends, vol. 5610, Springer, Berlin, pp 12–21

  • Allard ES, Wadlinger HA, Isaacowitz DM (2010) Positive gaze preferences in older adults: assessing the role of cognitive effort with pupil dilation. Aging Neuropsychol Cogn 17(3):296–311

    Article  Google Scholar 

  • André E, Dybkjær L, Minker W, Neumann H, Weber M, Bee N, Ishizuka M (2006) AutoSelect: what you want is what you get: real-time processing of visual attention and affect perception and interactive technologies, vol 4021. Springer, Berlin, pp 40–52

    Google Scholar 

  • Andreassi JL (1995) Psychophysiology: human behavior and physiological response, 3rd edn. Lawrence Erlbaum, Hillsdale

    Google Scholar 

  • Arguel A, Jamet E (2009) Using video and static pictures to improve learning of procedural contents. Comput Human Behav 25(2):354–359. doi:10.1016/j.chb.2008.12.014

    Article  Google Scholar 

  • Atkins MS, Moise A, Rohling R (2006) An application of eyegaze tracking for designing radiologists’ workstations: insights for comparative visual search tasks. ACM Trans Appl Percept 3(2):136–151. doi:10.1145/1141897.1141902

    Article  Google Scholar 

  • Bailey BP, Busbey CW, Iqbal ST (2007) TAPRAV: an interactive analysis tool for exploring workload aligned to models of task execution. Interact Comput 19(3):314–329. doi:10.1016/j.intcom.2007.01.004

    Article  Google Scholar 

  • Baldauf M, Frohlich P, Hutter S (2010) KIBITZER: a wearable system for eye-gaze-based mobile urban exploration. Paper presented at the Proceedings of the 1st augmented human international conference, France

  • Bednarik R (2005) Jeliot 3-program visualization tool—evaluation using eye-movement tracking

  • Bednarik R, Tukiainen M (2006) An eye-tracking methodology for characterizing program comprehension processes. Paper presented at the proceedings of the 2006 symposium on Eye tracking research & applications, San Diego. http://delivery.acm.org/10.1145/1120000/1117356/p125-bednarik.pdf?key1=1117356&key2=7088172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Bednarik R, Myller N, Sutinen E, Tukiainen M (2005) Applying eye-movement tracking to program visualization. Paper presented at the Proceedings of the 2005 IEEE symposium on visual languages and human-centric computing. http://ieeexplore.ieee.org/ielx5/10093/32326/01509522.pdf?tp=&arnumber=1509522&isnumber=32326

  • Berry J (2000) Traditional training fades in favor of e-learning. Internetweek 800:33–35

    Google Scholar 

  • Bétrancourt M, Dillenbourg P, Clavien L (2008) Display of key pictures from animation: effects on learning. In: Rouet JF, Lowe R, Schnotz W (eds) Understanding multimedia documents. Springer, USA, pp 61–78

    Chapter  Google Scholar 

  • Bierman DJ, Cleeremans A, van Ditzhuyzen J, van Gaal S (2004) The use of an implicit grammar task and eye measurements to study the somatic marker hypothesis

  • Bohan JT (2008) Depth of processing and semantic anomalies. Doctoral, University of Glasgow. Retrieved from http://eleanor.lib.gla.ac.uk/record=b2621005

  • Boucheix J-M, Lowe RK (2010) An eye tracking comparison of external pointing cues and internal continuous cues in learning with complex animations. Learn Instr 20(2):123–135. doi:10.1016/j.learninstruc.2009.02.015

    Article  Google Scholar 

  • Brown KG, Ford JK (2002) Using computer technology in training: Building an infrastructure for learning. In: Kraiger K (ed) Creating, implementing, and managing effective training and development. Jossey-Bass, Mahwah, pp 192–233

    Google Scholar 

  • Brunyé TT, Taylor HA (2009) When goals constrain: eye movements and memory for goal-oriented map study. Appl Cogn Psychol 23(6):772–787. doi:10.1002/acp.1508

    Article  Google Scholar 

  • Bulling A, Roggen D, Tröster G (2008) EyeMote – towards context-aware gaming using eye movements recorded from wearable electrooculography. In: Markopoulos P, de Ruyter B, Ijsselsteijn W, Rowland D (eds) Fun and games, vol. 5294, Springer, Berlin, pp 33–45

  • Buscher G, Dengel A, Elst L (2008) Query expansion using gaze-based feedback on the subdocument level. Paper presented at the proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, Singapore

  • Calvi C, Porta M, Sacchi D (2008 1–5 July) e5Learning, an e-learning environment based on eye tracking. Paper presented at the advanced learning technologies, 2008. ICALT ‘08. Eighth IEEE international conference on

  • Conati C, Merten C (2007) Eye-tracking for user modeling in exploratory learning environments: an empirical evaluation. Knowledge-Based Syst 20(6):557–574. doi:10.1016/j.knosys.2007.04.010

    Article  Google Scholar 

  • Coné JW, Robinson DG (2001) The power of e-performance. T+D 55:32–41

    Google Scholar 

  • Cook M, Wiebe EN, Carter G (2008) The influence of prior knowledge on viewing and interpreting graphics with macroscopic and molecular representations. Sci Educ 92(5):848–867. doi:10.1002/sce.20262

    Article  Google Scholar 

  • Coyne J, Baldwin C, Cole A, Sibley C, Roberts D (2009) Applying real time physiological measures of cognitive load to improve training. In: Estabrooke I, Grootjen M, Schmorrow D (eds) Foundations of augmented cognition. Neuroergonomics and operational neuroscience, vol 5638. Springer, Berlin, pp 469–478

    Chapter  Google Scholar 

  • Crosby M, Iding M, Chin D (2001) Visual search and background complexity: does the forest hide the trees? In: Bauer M, Gmytrasiewicz P, Vassileva J (eds) User modelling 2001, vol. 2109, Springer, Berlin, pp 225–227

  • Crull SR, Collins SM (2004) Adapting traditions: teaching research methods in a large class setting. Teach Sociol 32(2):206–212

    Article  Google Scholar 

  • Dabbish L, Kraut RE (2004) Controlling interruptions: awareness displays and social motivation for coordination. Paper presented at the Proceedings of the 2004 ACM conference on computer supported cooperative work, Chicago

  • de Koning BB, Tabbers HK, Rikers RMJP, Paas FG (2010) Attention guidance in learning from a complex animation: seeing is understanding? Learn Instr 20(2):111–122. doi:10.1016/j.learninstruc.2009.02.010

    Article  Google Scholar 

  • DeLeeuw K (2009) When more cognitive load leads to less distraction. Phd, University of California, Santa Barbara (33900741)

  • DeLeeuw K, Mayer R, Giesbrecht B (2010) How does text affect the processing of diagrams in multimedia learning? In: Goel A, Jamnik M, Narayanan N (eds) Diagrammatic representation and inference. Springer, Berlin, pp 304–306

    Chapter  Google Scholar 

  • Di Stasi LL, Marchitto M, Antolí A, Baccino T, Cañas JJ (2010) Approximation of on-line mental workload index in ATC simulated multitasks. J Air Transp Manag 16(6):330–333. doi:10.1016/j.jairtraman.2010.02.004

    Article  Google Scholar 

  • Doherty S, O’Brien S, Carl M (2010) Eye tracking as an MT evaluation technique. Mach Transl 24(1):1–13. doi:10.1007/s10590-010-9070-9

    Article  Google Scholar 

  • Duchowski A, Medlin E, Cournia N, Murphy H, Gramopadhye A, Nair S, Melloy B (2002) 3-D eye movement analysis. Behav Res Methods Instr Comput 34(4):573–591

    Article  Google Scholar 

  • Feil AJ (2009) Attention and encoding in physics learning and problem solving. Phd, University of Illinois at Urbana-Champaign

  • Fisher DL, Knodler M, Muttart J (2009) Driver-eye-movement-based investigation for improving work-zone safety (Trans: D. o. M. a. I. Engineering). University of Massachusetts Amherst

  • Fuller HJA (2010) The virtual driver: integrating physical and cognitive human models to simulate driving with a secondary in-vehicle task. Retrieved from http://deepblue.lib.umich.edu/handle/2027.42/75847

  • Gilland J (2008) Driving, eye-tracking and visual entropy: exploration of age and task effects. Doctor of Philosophy, The University of South Dakota

  • Gilman E, Underwood G (2003) Restricting the field of view to investigate the perceptual spans of pianists. Visual Cogn 10(2):201–232

    Article  Google Scholar 

  • Groen M, Noyes J (2010) Solving problems: how can guidance concerning task-relevancy be provided? Comput Human Behav 26(6):1318–1326. doi:10.1016/j.chb.2010.04.004

    Article  Google Scholar 

  • Guan Y-H (2002) The effects of multimedia presentations on information processing—eye-movement analyses of text and picture integration in a multimedia-based learning scenario. University of Bielefeld, Bielefeld

    Google Scholar 

  • Gutl C, Pivec M, Trummer C, Garcia-Barrios VM, Modritscher F, Pripfl J, Umgeher M (2005) AdeLE (adaptive e-learning with eye-tracking): theoretical background, system architecture and application scenarios. Eur J Open Dist E-Learn

  • Hess EH (1965) Attitude and pupil size. Sci Am 212:46–54

    Article  Google Scholar 

  • Heuer S (2009) A new eye-tracking method to assess attention allocation in individuals with and without aphasia using a dual-task paradigm. Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242269736

  • Holsanova J, Holmberg N, Holmqvist K (2009) Reading information graphics: the role of spatial contiguity and dual attentional guidance. Appl Cogn Psychol 23(9):1215–1226. doi:10.1002/acp.1525

    Article  Google Scholar 

  • Huang YT, Snedeker J (2009) Online interpretation of scalar quantifiers: insight into the semantics-pragmatics interface. Cogn Psychol 58(3):376–415. doi:10.1016/j.cogpsych.2008.09.001

    Article  Google Scholar 

  • Huang W, Eades P, Hong S-H (2008) Beyond time and error: a cognitive approach to the evaluation of graph drawings. Paper presented at the proceedings of the 2008 conference on BEyond time and errors: novel evaLuation methods for information visualization, Florence. http://delivery.acm.org/10.1145/1380000/1377970/a3-huang.pdf?key1=1377970&key2=1098172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Ifenthaler D, Pirnay-Dummer P, Spector JM, Mikkilä-Erdmann M, Penttinen M, Anto E, Olkinuora E (2008) Constructing mental models during learning from science text. Understanding models for learning and instruction. Springer, USA, pp 63–79

    Book  Google Scholar 

  • Ikehara CS, Crosby ME (2005) Assessing cognitive load with physiological sensors. Paper presented at the system sciences, 2005. HICSS ‘05. Proceedings of the 38th annual Hawaii international conference on

  • Iqbal ST (2008) A framework for intelligent notification management in multitasking domains. University of Illinois at Urbana-Champaign Urbana-Champaign

  • Irving EL, Tajik-Parvinchi DJ, Lillakas L, González EG, Steinbach MJ (2009) Mixed pro and antisaccade performance in children and adults. Brain Res 1255:67–74. doi:10.1016/j.brainres.2008.12.006

    Article  Google Scholar 

  • Janisse MP (1977) Pupillometry: the psychology of the pupillary response. Hemisphere Publishing Corporation, Washington

    Google Scholar 

  • Jazbec S, Hardin M, Schroth E, McClure E, Pine D, Ernst M (2006) Age-related influence of contingencies on a saccade task. Exp Brain Res 174(4):754–762. doi:10.1007/s00221-006-0520-9

    Article  Google Scholar 

  • Josephson S, Holmes ME (2006) Clutter or content?: how on-screen enhancements affect how TV viewers scan and what they learn. Paper presented at the proceedings of the 2006 symposium on Eye tracking research & applications, San Diego. http://delivery.acm.org/10.1145/1120000/1117361/p155-josephson.pdf?key1=1117361&key2=0398172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Kammerer Y, Scheiter K, Beinhauer W (2008) Looking my way through the menu: the impact of menu design and multimodal input on gaze-based menu selection. Paper presented at the proceedings of the 2008 symposium on Eye tracking research & applications, Savannah

  • King L (2009) Visual navigation patterns and cognitive load. In: Schmorrow D, Estabrooke I, Grootjen M (eds) Foundations of augmented cognition. Neuroergonomics and operational neuroscience, vol 5638. Springer, Berlin, pp 254–259

    Chapter  Google Scholar 

  • Klingner J (2010) Fixation-aligned pupillary response averaging. Paper presented at the proceedings of the 2010 symposium on eye-tracking research & applications, Austin

  • Klingner J, Tversky B, Hanrahan P (2010) Effects of visual and verbal presentation on cognitive load in vigilance, memory, and arithmetic tasks. Psychophysiology 48(3):323–332

    Google Scholar 

  • Knoeferle P, Crocker MW (2009) Constituent order and semantic parallelism in online comprehension: eye-tracking evidence from German. Q J Exp Psychol 62(12):2338–2371. doi:10.1080/17470210902790070

    Article  Google Scholar 

  • Kobori S, Abe Y (2009) Pupillary responses during learning of inverted tracking tasks. In: Dössel O, Schlegel WC (eds) World congress on medical physics and biomedical engineering, September 7–12, 2009, Munich, Germany, vol 25/9. Springer, Berlin, pp 211–214

    Chapter  Google Scholar 

  • Komogortsev OV, Mueller CJ, Tamir D, Feldman L (2000) An effort based model of software usability

  • Körner C (2004) Sequential processing in comprehension of hierarchical graphs. Appl Cogn Psychol 18(4):467–480. doi:10.1002/acp.997

    Article  Google Scholar 

  • Kramer AF (1991) Physiological metrics of mental workload: a review of recent progress. In: Damos DL (ed) Multiple task performance. Taylor and Francis, London, pp 279–328

    Google Scholar 

  • Kühl T, Scheiter K, Gerjets P, Gemballa S (2011) Can differences in learning strategies explain the benefits of learning from static and dynamic visualizations? Comput Educ 56(1):176–187. doi:10.1016/j.compedu.2010.08.008

    Article  Google Scholar 

  • Kumar M (2007) Gaze-enhanced user interface design. Doctor of Philosophy, Stanford University

  • Kumar M, Paepcke A, Winograd T (2007) EyePoint: practical pointing and selection using gaze and keyboard. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems, San Jose

  • Kuo F-Y, Hsu C-W, Day R-F (2009) An exploratory study of cognitive effort involved in decision under framing–an application of the eye-tracking technology. Decis Support Syst 48(1):81–91. doi:10.1016/j.dss.2009.06.011

    Article  Google Scholar 

  • Lewis KG (1994) Teaching large classes (how to do it well and remain sane). In: Prichard KW, Sawyer RM (eds) Handbook of college teaching: theory and applications. Greenwood, Westport, pp 319–343

    Google Scholar 

  • Lin T, Imamiya A (2006) Evaluating usability based on multimodal information: an empirical study. Paper presented at the proceedings of the 8th international conference on multimodal interfaces, Banff, http://delivery.acm.org/10.1145/1190000/1181063/p364-lin.pdf?key1=1181063&key2=0598172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Lin T, Imamiya A, Mao X (2008) Using multiple data sources to get closer insights into user cost and task performance. Interact Comput 20(3):364–374. doi:10.1016/j.intcom.2007.12.002

    Article  Google Scholar 

  • Liu HC, Chuang HH (2010) An examination of cognitive processing of multimedia information based on viewers’ eye movements. Interact Learn Environ

  • Loboda T, Brusilovsky P (2010) User-adaptive explanatory program visualization: evaluation and insights from eye movements. User Model User-Adapted Inter 20(3):191–226. doi:10.1007/s11257-010-9077-1

    Article  Google Scholar 

  • Longmore MA, Dunn D, Jarboe GR (1996) Learning by doing: group projects in research methods classes. Teach Sociol 24(1):84–91

    Article  Google Scholar 

  • Lorigo L, Haridasan M, Brynjarsdóttir H, Xia L, Joachims T, Gay G, Pan B (2008) Eye tracking and online search: lessons learned and challenges ahead. J Am Soc Inf Sci Technol 59(7):1041–1052. doi:10.1002/asi.20794

    Article  Google Scholar 

  • Marshall SP (2002). The index of cognitive activity: measuring cognitive workload. Paper presented at the proceedings of the 2002 IEEE 7th conference on human factors and power plants

  • Marshall SP, Pleydell-Pearce CW, Dickson BT (2003, January 6–9) Integrating psychophysiological measures of cognitive workload and eye movements to detect strategy shifts. Paper presented at the system sciences, 2003. Proceedings of the 36th annual Hawaii international conference on

  • McCuaig J, Pearlstein M, Judd A (2010) Detecting learner frustration: towards mainstream use cases. In: Aleven V, Kay J, Mostow J (eds) Intelligent tutoring systems, vol 6095. Springer, Berlin, pp 21–30

    Chapter  Google Scholar 

  • Memarovic N (2009) The influence of personal navigation devices on drivers’ visual Attention on the road ahead and driving performance. Master of Science, University of New Hampshire

  • Merten C (2005) On the use of eye-tracking in the assessment of self-explanation in an open learning environment. Master of Science, The University of British Columbia

  • Mewhort D, Cann N, Slater G, Naughton T, Sykes E (2010) Preliminary findings of visualization of the interruptible moment. High Perform Comput Syst Appl 5976:215–229

    Article  Google Scholar 

  • Meyer K, Rasch T, Schnotz W (2010) Effects of animation’s speed of presentation on perceptual processing and learning. Learn Instr 20(2):136–145

    Article  Google Scholar 

  • Mistry NH (2005) Looking beyond the eye—pupillary dilation and its relationship to conversational behavior in computer-mediated conversation and face-to-face conversation. University of North Carolina, Chapel Hill

    Google Scholar 

  • Mitchell J, Lapata M, Demberg V, Keller F (2010) Syntactic and semantic factors in processing difficulty: an integrated measure. Paper presented at the proceedings of the 48th annual meeting of the association for computational linguistics, Uppsala

  • Mollenbach E, Lillholm M, Gail A, Hansen JP (2010) Single gaze gestures. Paper presented at the proceedings of the 2010 symposium on eye-tracking research & applications, Austin. http://delivery.acm.org/10.1145/1750000/1743710/p177-mollenbach.pdf?key1=1743710&key2=9898172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Moresi S, Adam JJ, Rijcken J, Van Gerven PWM (2008) Cue validity effects in response preparation: a pupillometric study. Brain Res 1196:94–102

    Article  Google Scholar 

  • Mory EH (2003) Feedback research revisited. In: Jonassen DH (ed) Handbook of research on educational communications and technology. Erlbaum, Mahwah, pp 745–783

    Google Scholar 

  • Mueller CJ, Komogortsev OV, Tamer D, Feldman L (2008) An effort-based approach to measuring software usability. Tech Rep Comput Sci

  • Muldner K, Burleson W, VanLehn K (2010) “Yes!”: using tutor and sensor data to predict moments of delight during instructional activities. In: De Bra P, Kobsa A, Chin D (eds) User modeling, adaptation, and personalization, vol 6075. Springer, Berlin, pp 159–170

    Chapter  Google Scholar 

  • Murphy B (2007) The effects of gaze guiding on education software. Master of Science, Clemson University

  • Murray NP (2000) An assessment of the efficient and effectiveness of simulated auto racing performance—psychophysiological evidence. University of Florida, Florida

    Google Scholar 

  • Nesbit J, Larios H, Adesope O (2007) how students read concept maps: a study of eye movements. Paper presented at the World conference on educational multimedia, hypermedia and telecommunications, Vancouver. http://www.editlib.org/p/25950

  • Nicholson HBM (2007) Disfluency in dialogue: attention, structure and function. Retrieved from http://hdl.handle.net/1842/1763

  • Nimwegen CV (2008) The paradox of the guided user—assistance can be counter-effective. Utrecht University, Utrecht

  • Nordahl R, Korsgaard D (2010) Distraction as a measure of presence: using visual and tactile adjustable distraction as a measure to determine immersive presence of content in mediated environments. Virtual Real 14(1):27–42. doi:10.1007/s10055-009-0140-3

    Article  Google Scholar 

  • Oonk HM, Schermerhorn JH, Glaser D, Morrison JG (2003) Knowledge desk limited objective experiment. San Diego, p 51

  • Oyekoya O, Stentiford FWM (2005) A performance comparison of eye tracking and mouse interfaces in a target image identification task. IEE Seminar Digests 2005(11099):139–144. doi:10.1049/ic.2005.0723

    Google Scholar 

  • Oyekoya O, Stentiford F (2006) Eye tracking—a new interface for visual exploration. BT Technol J 24(3):57–66. doi:10.1007/s10550-006-0076-z

    Article  Google Scholar 

  • Ozcelik E, Arslan-Ari I, Cagiltay K (2010) Why does signaling enhance multimedia learning? Evidence from eye movements. Comput Human Behav 26(1):110–117. doi:10.1016/j.chb.2009.09.001

    Article  Google Scholar 

  • Paas FG, Van Merriënboer JJ, Adam JJ (1994) Measurement of cognitive load in instructional research. Percept Motor Skills 79(1, Pt 2):419–430

    Article  Google Scholar 

  • Paas FG, Renkl A, Sweller J (2004) Cognitive load theory: instructional implications of the interaction between information structures and cognitive architecture. Instruct Sci 32(1):1–8. doi:10.1023/B:TRUC.0000021806.17516.d0

    Article  Google Scholar 

  • Paas FG, Tuovinen J, Van Merriënboer JJ, Aubteen Darabi A (2005) A motivational perspective on the relation between mental effort and performance: optimizing learner involvement in instruction. Educ Technol Res Develop 53(3):25–34. doi:10.1007/bf02504795

    Article  Google Scholar 

  • Pan Y, Soto D (2010) The modulation of perceptual selection by working memory is dependent on the focus of spatial attention. Vis Res 50(15):1437–1444. doi:10.1016/j.visres.2009.10.016

    Article  Google Scholar 

  • Partala T (2005) Affective information in human-computer interaction. University of Tampere, Tampere

    Google Scholar 

  • Patrick MD, Carter G, Wiebe EN (2005) Visual representations of DNA replication: middle grades students’ perceptions and interpretations. J Sci Educ Technol 14(3):353–365. doi:10.1007/s10956-005-7200-6

    Article  Google Scholar 

  • Pierce ET (2009) Mental workload measurement using the intersaccadic interval. Masters, Institute of Biomaterials and Biomedical Engineering

  • Piquado T, Isaacowitz D, Wingfield A (2010) Pupillometry as a measure of cognitive effort in younger and older adults. Psychophysiology 47(3):560–569. doi:10.1111/j.1469-8986.2009.00947.x

    Article  Google Scholar 

  • Pompei FJ, Sharon T, Buckley SJ, Kemp J (2002) An automobile-integrated system for assessing and reacting to driver cognitive load. Society of Automotive Engineers, pp 411–416

  • Ponton K (2008) Concepts of interface usability and the enhancement of design through eye tracking and psychophysiology, Maritime Operations Division, Defence Science and Technology Organisation, Edinburgh

  • Porta M, Turina M (2008) Eye-S: a full-screen input modality for pure eye-based communication. Paper presented at the proceedings of the 2008 symposium on eye tracking research & applications, Savannah. http://delivery.acm.org/10.1145/1350000/1344477/p27-porta.pdf?key1=1344477&key2=7698172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Poulter DR, Jackson RC, Wann JP, Berry DC (2005) The effect of learning condition on perceptual anticipation, awareness, and visual search. Human Mov Sci 24(3):345–361. doi:10.1016/j.humov.2005.06.005

    Article  Google Scholar 

  • Prendinger H, Hyrskykari A, Nakayama M, Istance H, Bee N, Takahasi Y (2009) Attentive interfaces for users with disabilities: eye gaze for intention and uncertainty estimation. Univers Access Inf Soc 8(4):339–354. doi:10.1007/s10209-009-0144-5

    Article  Google Scholar 

  • Raidt S (2008) Gaze and face-to-face communication between a human speaker and an animated conversational agent—mutual attention and multimodal deixis. Grenoble Institute of Technology, Grenoble

    Google Scholar 

  • Raphael G, Berka C, Popovic D, Chung G, Nagashima S, Behneman A, Johnson R (2009a, 3–6 Sept) I-NET: Interactive neuro-educational technology to accelerate skill learning. Paper presented at the engineering in medicine and biology society, EMBC 2009. Annual international conference of the IEEE

  • Raphael G, Berka C, Popovic D, Chung G, Nagashima S, Behneman A, Johnson R (2009b) Peak performance trainer (PPT): interactive neuro-educational technology to increase the pace and efficiency of rifle marksmanship training. In: Estabrooke I, Grootjen M, Schmorrow D (eds) Foundations of augmented cognition. neuroergonomics and operational neuroscience, vol 5638. Springer, Berlin, pp 630–639

    Chapter  Google Scholar 

  • Rapp DN (2006) The value of attention aware systems in educational settings. Comput Human Behav 22(4):603–614. doi:10.1016/j.chb.2005.12.004

    Article  Google Scholar 

  • Rossett A (2002) Waking in the night and thinking about e-learning. In: Rossett A (ed) The ASTD E-learning handbook. McGraw-Hill, New York, pp 3–18

    Google Scholar 

  • Rouet J-F, Lowe R, Schnotz W, Tabbers HK, Paas FG, Lankford C, Merriënboer JJG (2008) Studying eye movements in multimedia learning. Understanding multimedia documents. Springer, USA, pp 169–184

    Book  Google Scholar 

  • Rudmann DS, McConkie GW, Zheng XS (2003) Eyetracking in cognitive state detection for HCI. Paper presented at the proceedings of the 5th international conference on multimodal interfaces, Vancouver. http://delivery.acm.org/10.1145/960000/958464/p159-rudmann.pdf?key1=958464&key2=6209172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Salas E, Kosarzycki MP, Burke CS, Fiore SM, Stone DL (2002) Emerging themes in distance learning research and practice: some food for thought. Int J Manag Rev 4(2):135–153. doi:10.1111/1468-2370.00081

    Article  Google Scholar 

  • Salmerón L, Gil L, Bråten I, Strømsø H (2010) Comprehension effects of signalling relationships between documents in search engines. Comput Human Behav 26(3):419–426. doi:10.1016/j.chb.2009.11.013

    Article  Google Scholar 

  • Saroyan A, Snell LS (1997) Variations in lecturing styles. Higher Educ 33(1):85–104. doi:10.1023/a:1002992423519

    Article  Google Scholar 

  • Schmidt-Weigand, F. (2006). Dynamic visualizations in multimedia learning: the influence of verbal explanations on visual attention, cognitive load and learning outcome. Gießen: Universitätsbibliothek

  • Schmidt-Weigand F, Kohnert A, Glowalla U (2010a) A closer look at split visual attention in system- and self-paced instruction in multimedia learning. Learn Instr 20(2):100–110. doi:10.1016/j.learninstruc.2009.02.011

    Article  Google Scholar 

  • Schmidt-Weigand F, Kohnert A, Glowalla U (2010b) Explaining the modality and contiguity effects: new insights from investigating students’ viewing behaviour. Appl Cogn Psychol 24(2):226–237. doi:10.1002/acp.1554

    Article  Google Scholar 

  • Schnitzer BS, Kowler E (2006) Eye movements during multiple readings of the same text. Vis Res 46(10):1611–1632. doi:10.1016/j.visres.2005.09.023

    Article  Google Scholar 

  • Schrammel J, Deutsch S, Tscheligi M (2009) Visual search strategies of tag clouds—results from an eyetracking study. In: Gross T, Gulliksen J, Kotzé P, Oestreicher L, Palanque P, Prates R, Winckler M (eds) Human-computer interaction—interact 2009, vol 5727. Springer, Berlin, pp 819–831

    Chapter  Google Scholar 

  • Seidlits SK, Reza T, Briand KA, Sereno AB (2003) Voluntary spatial attention has different effects on voluntary and reflexive saccades. Sci World J 3:881–902. doi:10.1100/tsw.2003.72

    Article  Google Scholar 

  • Sennersten C, Alfredson J, Castor M, Hedstrom J, Lindahl B, Lindley C, Svensson E (2007) Verification of an experimental platform integrating a tobii eyetracking system with the hifi game engine

  • She H-C, Chen Y-Z (2009) The impact of multimedia effect on science learning: evidence from eye movements. Comput Educ 53(4):1297–1307. doi:10.1016/j.compedu.2009.06.012

    Article  Google Scholar 

  • Sibert LE, Jacob RJK (2000) Evaluation of eye gaze interaction. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems, Hague

  • Silva L (2009) The construct of cognitive processing and speed—test performance and information processing approaches. Master of Science University of New Mexico, Albuquerque

  • Slykhuis D, Wiebe E, Annetta L (2005) Eye-tracking students’ attention to powerpoint photographs in a science education setting. J Sci Educ Technol 14(5):509–520. doi:10.1007/s10956-005-0225-z

    Article  Google Scholar 

  • Smith JD, Vertegaal R, Sohn C (2005) ViewPointer: lightweight calibration-free eye tracking for ubiquitous handsfree deixis. Paper presented at the proceedings of the 18th annual ACM symposium on User interface software and technology, Seattle. http://delivery.acm.org/10.1145/1100000/1095043/p53-smith.pdf?key1=1095043&key2=5398172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Sodhi M, Reimer B, Cohen JL, Vastenburg E, Kaars R, Kirschenbaum S (2002) On-road driver eye movement tracking using head-mounted devices. Paper presented at the proceedings of the 2002 symposium on eye tracking research & applications, New Orleans. http://delivery.acm.org/10.1145/510000/507086/p61-sodhi.pdf?key1=507086&key2=1409172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

  • Špakov O (2005) EyeChess—the tutoring game with visual attentive interface. Altern Access Feel Games

  • Steele-Johnson D, Hyde BG (1997) Advanced technologies in training: intelligent tutoring systems and virtual reality. In: Quinones MA, Ehrenstein A (eds) Training for a rapidly changing workplace: applications of psychological research. American Psychological Association, Washington, pp 225–248

    Chapter  Google Scholar 

  • Stuyven E, Van der Goten K, Vandierendonck A, Claeys K, Crevits L (2000) The effect of cognitive load on saccadic eye movements. Acta Psychol 104(1):69–85. doi:10.1016/s0001-6918(99)00054-2

    Article  Google Scholar 

  • Surakka V, Illi M, Isokoski P (2004) Gazing and frowning as a new human-computer interaction technique. ACM Trans Appl Percept 1(1):40–56. doi:10.1145/1008722.1008726

    Article  Google Scholar 

  • Sweller J, van Merrienboer J, Paas F (1998) Cognitive architecture and instructional design. Educ Psychol Rev 10(3):251–296. doi:10.1023/a:1022193728205

    Article  Google Scholar 

  • Teodorescu D-S (2004) The automatic and voluntary control of the scope of visual attention. Universitetet I Tromso

  • Traxler M (2009) A hierarchical linear modeling analysis of working memory and implicit prosody in the resolution of adjunct attachment ambiguity. J Psycholinguist Res 38(5):491–509. doi:10.1007/s10936-009-9102-x

    Article  Google Scholar 

  • Unsworth N, Schrock JC, Engle RW (2004) Working memory capacity and the antisaccade task: individual differences in voluntary saccade control. J Exp Psychol 30(6):1302–1321. doi:10.1037/0278-7393.30.6.1302

    Google Scholar 

  • Urry HL, van Reekum CM, Johnstone T, Davidson RJ (2009) Individual differences in some (but not all) medial prefrontal regions reflect cognitive demand while regulating unpleasant emotion. NeuroImage 47(3):852–863. doi:10.1016/j.neuroimage.2009.05.069

    Article  Google Scholar 

  • Van Gog T, Paas FG, Van Merriënboer JJG (2005) Uncovering expertise-related differences in troubleshooting performance: combining eye movement and concurrent verbal protocol data. Appl Cogn Psychol 19(2):205–221. doi:10.1002/acp.1112

    Article  Google Scholar 

  • Vandierendonck A, Deschuyteneer M, Depoorter A, Drieghe D (2008) Input monitoring and response selection as components of executive control in pro-saccades and anti-saccades. Psychol Res 72(1):1–11. doi:10.1007/s00426-006-0078-y

    Article  Google Scholar 

  • Verney SP, Granholm E, Marshall SP (2004) Pupillary responses on the visual backward masking task reflect general cognitive ability. Int J Psychophysiol 52(1):23–36. doi:10.1016/j.ijpsycho.2003.12.003

    Article  Google Scholar 

  • Wang J, Zhai S, Su H (2001) Chinese input with keyboard and eye-tracking: an anatomical study. Paper presented at the proceedings of the SIGCHI conference on Human factors in computing systems, Seattle

  • Wang JT-Y, Spezio M, Camerer CF (2010) Pinocchio’s pupil: using eyetracking and pupil dilation to understand truth telling and deception in sender-receiver games. Am Econ Rev 100(3):984–1007. doi:10.1257/aer.100.3.984

    Article  Google Scholar 

  • Waniek J, Ewald K (2008) Cognitive costs of navigation aids in hypermedia learning. J Educ Comput Res 39(2):185–204

    Article  Google Scholar 

  • Welsh ET, Wanberg CR, Brown KG, Simmering MJ (2003) E-learning: emerging uses, empirical results and future directions. Int J Train Dev 7(4):245–258. doi:10.1046/j.1360-3736.2003.00184.x

    Article  Google Scholar 

  • Wengelin Å, Torrance M, Holmqvist K, Simpson S, Galbraith D, Johansson V, Johansson R (2009) Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production. Behav Res Methods 41(2):337–351. doi:10.3758/brm.41.2.337

    Article  Google Scholar 

  • Wong TJ (2009) Capturing ‘Aha!’ moments of puzzle problems using pupillary responses and blinks. Master of Science, University of Pittsburgh

  • Yecan E, Sumuer E, Baran B, Cagiltay K (2007) Tracing users’ behaviors in a multimodal instructional material: an eye-tracking study. In: Jacko J (ed) Human-computer interaction. HCI intelligent multimodal interaction environments, vol 4552. Springer, Berlin, pp 755–762

    Chapter  Google Scholar 

  • Yulan L, Reyes ML, Lee JD (2007) Real-time detection of driver cognitive distraction using support vector machines. Intell Transp Syst IEEE Trans 8(2):340–350

    Article  Google Scholar 

  • Zhiwei G, Shirley L, Elisabeth C, Judith R (2006) The validity of the stimulated retrospective think-aloud method as measured by eye tracking. Paper presented at the proceedings of the SIGCHI conference on human factors in computing systems, Montreal. http://delivery.acm.org/10.1145/1130000/1124961/p1253-guan.pdf?key1=1124961&key2=0019172031&coll=DL&dl=ACM&ip=132.170.138.205&CFID=16182976&CFTOKEN=14689674

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Acknowledgments

This work is supported in part by the Office of Naval Research Grant N00001410101. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the ONR or the US Government. The US Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.

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Rosch, J.L., Vogel-Walcutt, J.J. A review of eye-tracking applications as tools for training. Cogn Tech Work 15, 313–327 (2013). https://doi.org/10.1007/s10111-012-0234-7

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