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Neuroergonomics: Topics, Tools, and a Webpage Attention Research (WAR) Framework

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Human-Automation Interaction

Part of the book series: Automation, Collaboration, & E-Services ((ACES,volume 10))

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Abstract

In an information-overloaded Internet environment, users make rapid evaluations of webpages after just short exposures to them. Hence, a method is needed to identify automatic and rapid visual attention to webpages. Neuroergonomics methods can be used to help identify automatic and rapidly deployed visual attention by measuring human brain activity to complement behavioral measures. At present, visual attention to webpages based on neuroergonomics is still an emerging field, and the number of available studies is limited. We systematically reviewed the relevant research literature on visual attention to webpages included in Web of Science and Scopus. We identified three clusters of topics using VOSviewer and summarized the relations between website design elements and visual attention. By introducing and comparing the visual attention measures, we suggest that multimodal measurement combining behavioral, psychophysiological, and eye-tracking measures can provide a comprehensive assessment of visual attention to webpages. Finally, we propose a webpage visual attention framework based on human information processing. This review of research methods and their roles in research on visual attention with respect to webpages should be of value to researchers studying visual information displays for cyber systems in other contexts.

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References

  1. Berger A, Henik A, Rafal R (2005) Competition between endogenous and exogenous orienting of visual attention. J Exp Psychol Gen 134(2):207

    Article  Google Scholar 

  2. Butmee T, Lansdown TC, Walker GH (2018) Mental workload and performance measurements in driving task: a review literature. In: Congress of the international ergonomics association. Springer, Cham, pp 286–294

    Google Scholar 

  3. Cao Y, Qu Q, Duffy VG, Ding Y (2019) Attention for web directory advertisements: a top-down or bottom-up process? Int J Human-Comput Interact 35(1):89–98

    Article  Google Scholar 

  4. Chen M, Bargh JA (1999) Consequences of automatic evaluation: Immediate behavioral predispositions to approach or avoid the stimulus. Personal Soc Psychol Bullet 25(2):215–224

    Article  Google Scholar 

  5. Cuesta-Cambra U, Martínez-Martínez L, Niño-González JI (2019) An analysis of pro-vaccine and antivaccine information on social networks and the internet: visual and emotional patterns. Profesional de la Inf 28(2):280–217

    Google Scholar 

  6. Davenport TH, Beck JC (2001) The attention economy. Harvard Business School Press

    Google Scholar 

  7. Diao FF, Sundar SS (2004) Orienting response and memory for web advertisements: exploring effects of pop-up window and animation. Commun Res 31(5):537–567

    Google Scholar 

  8. Ding Y, Cao Y, Qu Q, Duffy VG (2020) An exploratory study using electroencephalography (EEG) to measure the smartphone user experience in the short term. Int J Human–Comput Int 1–14

    Google Scholar 

  9. Ding Y, Guo F, Hu M, Cao Y (2017) Using event related potentials to investigate visual aesthetic perception of product appearance. Human Factors Ergonom Manufact Serv Industr 27(5):223–232

    Article  Google Scholar 

  10. Ding Y, Hu X, Li JW, Ye JB, Wang F, Zhang D (2018) What makes a champion: the behavioral and neural correlates of expertise in multiplayer online battle arena games. Int J Human-Comput Interact 34(8):682–694

    Article  Google Scholar 

  11. Espigares-Jurado F, Munoz-Leiva F, Correia MB, Sousa CMR, Ramos CMQ, Faisca L (2020) Visual attention to the main image of a hotel website based on its position, type of navigation and belonging to millennial generation: an eye tracking study. J Retail Consum Serv 52:11

    Article  Google Scholar 

  12. Guo F, Cao Y, Ding Y, Liu W, Zhang X (2015) A multimodal measurement method of users’ emotional experiences shopping online. Human Factors Ergonom Manufact Serv Industr 25(5):585–598

    Article  Google Scholar 

  13. Guo F, Wang X-S, Shao H, Wang X-R, Liu W-L (2019) How user’s first impression forms on mobile user interface?: an ERPs study. Int J Human-Comput Interact 36(9):870–880

    Article  Google Scholar 

  14. Guo F, Ye G, Hudders L, Lv W, Li M, Duffy VG (2019) Product placement in mass media: a review and bibliometric analysis. J Advert 48(2):215–231

    Article  Google Scholar 

  15. Huang Y-F, Kuo F-Y, Luu P, Tucker D, Hsieh P-J (2015) Hedonic evaluation can be automatically performed: an electroencephalography study of website impression across two cultures. Comput Hum Behav 49:138–146

    Article  Google Scholar 

  16. Hwang YM, Lee KC (2018) Using an eye-tracking approach to explore gender differences in visual attention and shopping attitudes in an online shopping environment. Int J Human-Comput Int 34(1):15–24

    Article  Google Scholar 

  17. Hunt AR, Reuther J, Hilchey MD, Klein RM (2019) The relationship between spatial attention and eye movements. In: Hodgson T (ed) Processes of visuospatial attention and working memory. Springer, pp 255–278

    Chapter  Google Scholar 

  18. Johnson A, Proctor RW (2004) Attention: theory and practice. Sage

    Google Scholar 

  19. Johnson A, Proctor RW (eds) (2013) Neuroergonomics: a cognitive neuroscience approach to human factors and ergonomics. Palgrave Macmillan, Basingstoke, UK

    Google Scholar 

  20. King AJ, Lazard AJ, White SR (2020) The influence of visual complexity on initial user impressions: testing the persuasive model of web design. Behav Inf Technol 39(5):497–510

    Article  Google Scholar 

  21. Lambert AJ, Wilkie J, Greenwood A, Ryckman N, Sciberras-Lim E, Booker L-J, Tahara-Eckl L (2018) Towards a unified model of vision and attention: effects of visual landmarks and identity cues on covert and overt attention movements. J Exp Psychol Hum Percept Perform 44(3):412–432

    Article  Google Scholar 

  22. Lee W, Benbasat I (2003) Designing an electronic commerce interface: attention and product memory as elicited by web design. Electron Commer Res Appl 2(3):240–253

    Article  Google Scholar 

  23. Li H, Che D, Yuan X, Li Y (2018) Research on book shopping website interface based on the eye tracker. Int J Inf Technol Manage 17(3):197–216

    Google Scholar 

  24. Lin M-H, Fang Y-M, Wang C-Y (2011) A preliminary study of appling ERP on users’ reactions to web pages with different presentation formats. Bullet Jap Soc Sci Des 57(5):89–98

    Google Scholar 

  25. Lindgaard G, Fernandes G, Dudek C, Brown J (2006) Attention web designers: you have 50 milliseconds to make a good first impression! Behav Inf Technol 25(2):115–126

    Article  Google Scholar 

  26. Liu W, Liang X, Wang X, Guo F (2019) The evaluation of emotional experience on webpages: an event-related potential study. Cogn Technol Work 21(2):317–326

    Article  Google Scholar 

  27. Liu Y, Yttri EA, Snyder LH (2010) Intention and attention: different functional roles for LIPd and LIPv. Nat Neurosci 13(4):495–502

    Article  Google Scholar 

  28. Meshkati N, Hancock PA, Rahimi M, Dawes SM (1995) Techniques in mental workload assessment. In: Wilson JR, Corlett EN (eds) Evaluation of human work: a practical ergonomics methodology. Taylor & Francis, pp 749–782

    Google Scholar 

  29. Mitchell AA, Olson JC (1981) Are product attribute beliefs the only mediator of advertising effects on brand attitude? J Mark Res 18(3):318–332

    Article  Google Scholar 

  30. Muslim A, Harun A, Ismael D, Othman B (2020) Social media experience, attitude and behavioral intention towards umrah package among generation X and Y. Manage Sci Lett 10(1):1–12

    Article  Google Scholar 

  31. Olofsson JK, Nordin S, Sequeira H, Polich J (2008) Affective picture processing: an integrative review of ERP findings. Biol Psychol 77(3):247–265

    Article  Google Scholar 

  32. Pan B, Zhang L (2016) An eyetracking study on online hotel decision making: the effects of images and number of options. Travel Tour Res Assoc: Adv Tourism Res Glob 27

    Google Scholar 

  33. Parasuraman R (2003) Neuroergonomics: research and practice. Theor Issues Ergon Sci 4(1–2):5–20

    Article  Google Scholar 

  34. Park S-E, Choi D, Kim J (2005) Visualizing e-brand personality: Exploratory studies on visual attributes and e-brand personalities in Korea. Int J Human-Comput Interact 19(1):7–34

    Article  Google Scholar 

  35. Pickens J (2005) Attitudes and perceptions. In: Borkowski N (ed) Organizational behavior in health care. Jones and Bartlett Publishers, pp 43–76

    Google Scholar 

  36. Poole A, Ball LJ, Phillips P (2005) In search of salience: a response-time and eye-movement analysis of bookmark recognition. In: Fincher S, Markopoulos P, Moore D, Ruddle R (eds) People and computers XVIII — Design for life. Springer, pp 363–378

    Chapter  Google Scholar 

  37. Ravaja N, Aula P, Falco A, Laaksonen S, Salminen M, Ainamo A (2015) Online news and corporate reputation: a neurophysiological investigation. J Med Psychol-Theor Methods Appl 27(3):118–133

    Google Scholar 

  38. Rayner K (1998) Eye movements in reading and information processing: 20 years of research. Psychol Bull 124(3):372–422

    Article  Google Scholar 

  39. Shang Q, Jin J, Pei G, Wang C, Wang X, Qiu J (2020) Low-order webpage layout in online shopping facilitates purchase decisions: evidence from event-related potentials. Psychol Res Behav Manag 13:29–39

    Article  Google Scholar 

  40. Still JD (2018) Web page visual hierarchy: examining faraday’s guidelines for entry points. Comput Hum Behav 84:352–359

    Article  Google Scholar 

  41. Van Eck NJ, Waltman L (2014) Visualizing bibliometric networks. In: Ding Y, Rousseau R, Wolfram D (eds) Measuring scholarly impact: methods and practice. Springer, pp 285–320

    Google Scholar 

  42. Vi CT, Hornbæk K, Subramanian S (2017) Neuroanatomical correlates of perceived usability. In: Proceedings of the 30th annual ACM symposium on user interface software and technology. ACM, pp 519–532

    Google Scholar 

  43. Wang CC, Hung JC (2019) Comparative analysis of advertising attention to facebook social network: evidence from eye-movement data. Comput Hum Behav 100:192–208

    Article  Google Scholar 

  44. Wang Q, Ma D, Chen H, Ye X, Xu Q (2020) Effects of background complexity on consumer visual processing: an eye-tracking study. J Bus Res 111:270–280

    Article  Google Scholar 

  45. Wang Q, Yang S, Liu M, Cao Z, Ma Q (2014a) An eye-tracking study of website complexity from cognitive load perspective. Decis Support Syst 62:1–10

    Article  Google Scholar 

  46. Wang Q, Yang Y, Wang Q, Ma Q (2014b) The effect of human image in B2C website design: an eye-tracking study. Enterp Inf Syst 8(5):582–605

    Article  Google Scholar 

  47. Ward RD, Marsden PH (2003) Physiological responses to different WEB page designs. Int J Hum Comput Stud 59(1–2):199–212

    Article  Google Scholar 

  48. Yamaguchi M, Chen J, Mishler S, Proctor RW (2018) Flowers and spiders in spatial stimulus-response compatibility: does affective valence influence selection of task-sets or selection of responses? Cogn Emot 32(5):1003–1017

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 71701003,71801002, 71802002), Natural Science Foundation of Anhui Province (grant numbers 2208085MG183 ), the Key Project for Natural Science Fund of Colleges in Anhui Province (grant numbers KJ2021A0502), and the Project for Social Science Innovation and Development in Anhui Province (grant numbers 2021CX075).

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Authors and Affiliations

  1. Anhui Polytechnic University, Wuhu, 241000, People’s Republic of China

    Yaqin Cao

  2. Purdue University, West Lafayette, IN, 47907, USA

    Robert W. Proctor

Authors
  1. Yaqin Cao
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  2. Robert W. Proctor
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Correspondence to Robert W. Proctor .

Editor information

Editors and Affiliations

  1. School of Industrial Engineering, Purdue University, West Lafayette, IN, USA

    Vincent G. Duffy

  2. School of Industrial Engineering, Purdue University, West Lafayette, IN, USA

    Mark Lehto

  3. School of Industrial Engineering, Purdue University, West Lafayette, IN, USA

    Yuehwern Yih

  4. Department of Psychological Science, Purdue University, West Lafayette, IN, USA

    Robert W. Proctor

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Cao, Y., Proctor, R.W. (2023). Neuroergonomics: Topics, Tools, and a Webpage Attention Research (WAR) Framework. In: Duffy, V.G., Lehto, M., Yih, Y., Proctor, R.W. (eds) Human-Automation Interaction. Automation, Collaboration, & E-Services, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-031-10780-1_11

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