Skip to main content
SpringerLink
Log in

Improving Knowledge Acquisition from Informational Websites: A NeuroIS Study

  • Conference paper
  • First Online:
Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 32))

  • 1193 Accesses

Abstract

This research investigates the relationship between the relevance of website imagery with the given text, emotions and cognition and in return how those constructs influence knowledge acquisition and willingness of website revisits of online users. It particularly examines the moderating role of need-for-cognition on the relationship between website stimuli, emotion and cognition. We conducted lab experiments using electroencephalography (EEG) to investigate the phenomenon. The initial phase of data collection has been completed. We hope to contribute to NeuroIS literature. Specifically, that examines the role of website design for emotional and cognitive responses and their relationship with online users’ knowledge acquisition and their willingness to revisit websites.

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

Access this chapter

Log in via an institution
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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Berland, G. K., Elliott, M. N., Morales, L. S., & Algazy. J. I. (2001). Health information on the Internet: accessibility, quality, and readability in English and Spanish. The Journal of the American Medical Association, 285, 2612–21.

    Google Scholar 

  2. Morahan-Martin, J. M. (2004). How Internet users find, evaluate, and use online health information: A cross-cultural review. Cyberpsychology Behavior, 7, 497–510.

    Article  Google Scholar 

  3. Riaz, A., Gregor, S., & Lin, A. (2018). Biophilia and biophobia in website design: Improving internet information dissemination. Information & Management, 55, 199–214.

    Article  Google Scholar 

  4. Riaz, A., Gregor, S., Dewan, S., & Xu, Q. (2018). The interplay between emotion, cognition and information recall from websites with relevant and irrelevant images: A Neuro-IS study. Decision Support Systems, 111, 113–123.

    Article  Google Scholar 

  5. Pew Research Center, http://www.pewinternet.org/2017/09/11/how-people-approach-facts-and-information/.

  6. Day, E. A., Espejo, J., Kowollik, V., Boatman, P. R. B., & McEntire, L. E. (2007). Modeling the links between need for cognition and the acquisition of a complex skill. Personality and Individual Differences, 42, 201–212.

    Article  Google Scholar 

  7. Minas, R. K., Potter, R. F., Dennis, A. R., Bartelt, V., & Bae, S. (2014). Putting on the thinking cap: Using NeuroIS to understand information processing biases in virtual teams. JMIS, 30, 49–82.

    Google Scholar 

  8. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54, 177–184.

    Article  Google Scholar 

  9. Gregor, S., Lin, A., Gedeon, T., Riaz, A., & Zhu, D. (2014). Neuroscience and a nomological network for the understanding and assessment of emotions in information systems research. Journal of Management Information Systems, 30, 13–47.

    Article  Google Scholar 

  10. Cyr, D., Head, M., Larios, H., & Pan, B. (2009). Exploring human image in website design: A multi-method approach. MIS Quarterly, 33, 539–566.

    Article  Google Scholar 

  11. Jiang, Z., & Benbasat, I. (2007). The effects of presentation formats and task complexity on online customers’ product understanding. MIS Quarterly, 31, 475–500.

    Article  Google Scholar 

  12. Luck, S. J., & Kappenman, E. S. (Eds.). (2012). The oxford handbook of event-related potential components. Oxford University Press.

    Google Scholar 

  13. Harmon-Jones, E., & Peterson, C. K. (2009). Electroencephalographic methods in social and personality psychology. In E. Harmon-Jones & J. S. Beer (Eds.), Methods and social neuroscience (pp. 170–197). New York: Guilford Press.

    Google Scholar 

  14. Kock, N. (2009). Information systems theorizing based on evolutionary psychology: An interdisciplinary review and theory integration framework. MIS Quarterly, 33(2), 395–418.

    Article  Google Scholar 

  15. Kock, N., & Chatelain-Jardon, R. (2011). Four guiding principles for research on evolved information processing traits and technology task performance. Journal of the Association for Information Systems, 12(10), 684–713.

    Article  Google Scholar 

  16. Ulrich, R. S. (1993). Biophilia, biophobia, and natural landscapes. In S. R. Kellert & E. O. Wilson (Eds.), The biophilia hypothesis (pp. 73–137). Washington, DC: Island Press.

    Google Scholar 

  17. Nairne, J. S. (2010). Adaptive memory: Evolutionary constraints on remembering. In B. H. Ross (Ed.), The psychology of learning and motivation (Vol. 53, pp. 1–32). Burlington: Academic Press.

    Google Scholar 

  18. Hamann, S. B., Ely, T. D., & Kilts, C. D. (1999). Amygdala activity related to enhanced memory for pleasant and aversive stimuli. Nature Neuroscience, 2(3), 289–294.

    Article  Google Scholar 

  19. Jaeger, A., & Rugg, M. D. (2012). Implicit effects of emotional context: An ERP study. Cognitive Affective and Behavioral Neuroscience, 12(4), 748–760.

    Article  Google Scholar 

  20. Maratos, E. J., & Rugg, M. D. (2001). Electrophysiological correlates of the retrieval of emotional and non-emotional context. Journal of Cognitive Neuroscience, 13(7), 877–891.

    Article  Google Scholar 

  21. Riedl, R., Mohr, P. N. C., Kenning, P. H., David, F. D., & Heekeren, H. R. (2014). Trusting humans and avatars: A brain imaging study based on evolution theory. Journal of Management Information Systems, 30(4), 83–114.

    Article  Google Scholar 

  22. Walden, E., Cogo, G. S., Lucus, D. J., & Moradiabadi, E. (2018). Neural correlates of multidimensional visualizations: An fMRI comparison of bubble and three-dimensional surface graphs using evolutionary theory. MIS Quarterly, 42(4), 1097–1116.

    Google Scholar 

  23. Davidson, R. J., Ekman, P., Saron, C., Senulis, J., & Friesen, W. (1990). Approach-withdrawal and cerebral asymmetry: Emotion expression and brain asymmetry. Journal of Personality and Social Psychology, 58, 330–341.

    Article  Google Scholar 

  24. Mauss, I., & Robinson, M. (2009). Measures of emotion: A review. Cognition and Emotion, 23, 209–237.

    Article  Google Scholar 

  25. Herrmann, M. J., Ehlis, A. C., & Fallgatter, A. J. (2003). Prefrontal activation through task requirements of emotional induction measured with NIRS. Biological Psychology, 64, 255–263.

    Article  Google Scholar 

  26. Morris, J. S., Frith, C. D., Perrett, D. I., Rowland, D., Young, A. W., & Calder, A. J. (1996). A differential neural response in the human amygdala to fearful and happy facial expressions. Nature, 383, 812–815.

    Article  Google Scholar 

  27. Paradiso, S., Chemerinski, E., Yazici, K. M., Tartaro, A., & Robinson, R. G. (1999). Frontal lobe syndrome reassessed: Comparison of patients with lateral or medial frontal lobe damage. Journal of Neurology, Neurosurgery and Psychiatry, 67, 664–667.

    Article  Google Scholar 

  28. Starkstein, S., Robinson, R., Honig, M., Parikh, R., Joselyn, J., & Price, T. (1989). Mood changes after right-hemisphere lesions. British Journal of Psychiatry, 155, 79–85.

    Article  Google Scholar 

  29. Onal-Hartmann, C., Pauli, P., Ocklenburg, S., & Güntürkün, O. (2012). The motor side of emotions: Investigating the relationship between hemispheres, motor reactions and emotional stimuli. Psychological Research, 76, 311–316.

    Article  Google Scholar 

  30. Smith, S. D., & Bulman-Fleming, M. B. (2004). A hemispheric asymmetry for the unconscious perception of emotion. Brain and Cognition, 55, 452–457.

    Article  Google Scholar 

  31. Roesmann, K., Dellert, T., Junghoefer, M., et al. (2019). The causal role of prefrontal hemispheric asymmetry in valence processing of words—Insights from a combined cTBS-MEG study. NeuroImage, 191, 367–379.

    Article  Google Scholar 

  32. Dimoka, A., Davis, F. D., Gupta, A., Pavlou, P. A., Banker, R. D., et al. (2012). On the use of neurophysiological tools in IS research: Developing a research agenda for Neuro-IS. MIS Quarterly, 36(3), 679–702.

    Article  Google Scholar 

  33. Riedl, R., & Leger, P. M. (2016). A primer on neurobiology and the brain for information systems scholars. In M. Reuter & C. Montag (Eds.), Fundamentals of NeuroIS: Information systems and the brain (pp. 25–45). Heidelberg: Springer.

    Chapter  Google Scholar 

  34. Rypma, B., & D’Esposito, M. (1999). The roles of prefrontal brain regions in components of working memory: Effects of memory load and individual differences. Proceedings of the National Academy of Sciences, 96, 6558–6563.

    Article  Google Scholar 

  35. Rohm, D., Klimesch, W., Haider, H., & Doppelmayr, M. (2001). The role of theta and alpha oscillations for language comprehension in the human electroencephalogram. Neuroscience Letters, 310, 137–140.

    Article  Google Scholar 

  36. Watkins, K., & Paus, T. (2004). Modulation of motor excitability during speech perception: The role of Broca’s area. Journal of Cognitive Neuroscience, 16, 978–987.

    Article  Google Scholar 

  37. Baddeley, A. (1992). Working memory. Science, 255, 556–559.

    Article  Google Scholar 

  38. Welsh, M. C., Satterlee-Cartmell, T., & Stine, M. (1999). Towers of Hanoi and London: Contribution of working memory and inhibition to performance. Brain and Cognition, 41, 231–242.

    Article  Google Scholar 

  39. Dimoka, A., Hong, Y., & Pavlou, P. A. (2012). On product uncertainty in online markets: Theory and evidence. MIS Quarterly, 36, 395–426.

    Article  Google Scholar 

  40. Gevins, A., Smith, A. M. E., McEvoy, L., & Yu, D. (1997). High-resolution EEG mapping of cortical activation related to working memory: Effects of task difficulty, type of processing, and practice. Cerebral Cortex, 7, 374–385.

    Article  Google Scholar 

  41. Hoptman, M. J., & Davidson, R. J. (1998). Baseline EEG asymmetries and performance on neuropsychological tasks. Neuropsychologia, 36, 1343–1353.

    Article  Google Scholar 

  42. Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42, 116–130.

    Article  Google Scholar 

  43. Haugtvedt, C. R., Petty, R., & Cacioppo, R. (1992). Need for cognition and advertising: Understanding the role of personality variables in consumer behaviour. Journal of Consumer Psychology, 1, 239–260.

    Article  Google Scholar 

  44. Larsen, V., Wright, N. D., & Hergert, T. R. (2004). Advertising montage: Two theoretical perspectives. Psychology & Marketing, 21, 1–15.

    Article  Google Scholar 

  45. Davis, F. D., Bagozzi, R. P., & Warshaw. P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22, 1111–1132.

    Google Scholar 

  46. Chatterjee, S., Heath, T., & Mishra, D. (2002). Communicating quality through signals and substantive messages: The effect of supporting information and need for cognition. Advances in Consumer Research, 29, 228–229.

    Google Scholar 

  47. Baker, J., Grewal, D., & Parasuraman, A. (1994). The influence of store environment on quality inferences and store image. Journal of the Academy of Marketing Science, 22, 328–340.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. The Australian National University, Canberra, Australia

    Amir Riaz & Shirley Gregor

Authors
  1. Amir Riaz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shirley Gregor
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Amir Riaz .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane Randolph

  6. Department for Digital Business, University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    Thomas Fischer

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Riaz, A., Gregor, S. (2020). Improving Knowledge Acquisition from Informational Websites: A NeuroIS Study. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A., Fischer, T. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-030-28144-1_38

Download citation

Publish with us

Policies and ethics

Search

Navigation