Skip to main content

Utilizing Simulation to Train Decision Making with Conflicting Information

  • Conference paper
  • First Online:
Advances in Simulation and Digital Human Modeling (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1206))

Included in the following conference series:

  • 913 Accesses

Abstract

The modern operational environment often involves performance utilizing a range of different information systems. Performers are often required to assimilate information, identify any discrepancies between information sources and determine ground truth. As a result, it is critical to prepare individual performers to make effective decisions when faced with information conflicts. This paper presents a discussion of training techniques which can utilize simulation platforms to train skills necessary to prepare performers to make effective decision under these circumstances. Also presented are use case examples of how these strategies could be implemented within simulation platforms across multiple domains. Finally, a training-needs-based approach is presented to guide development of valid and operationally relevant, simulation-based training exercises that target decision making with conflicting information.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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

References

  1. Mosier, K.L., Sethi, N., McCauley, S., Khoo, L., Orasanu, J.M.: What you don’t know can hurt you: factors impacting diagnosis in the automated cockpit. Hum. Factors 49(2), 300–310 (2007)

    Article  Google Scholar 

  2. Chen, K., Li, Z.: How does information congruence influence diagnosis performance? Ergonomics 58(6), 924–934 (2015)

    Article  Google Scholar 

  3. Carroll, M., Sanchez, P.: Decision making with conflicting information: influencing factors and best practice guidelines. Theoretical Issues in Ergonomics Science, 1–21 (2020)

    Google Scholar 

  4. Skitka, L.J., Mosier, K.L., Burdick, M., Rosenblatt, B.: Automation bias and errors: are crews better than individuals? Int. J. Aviat. Psychol. 10(1), 85–97 (2000)

    Article  Google Scholar 

  5. Dzindolet, M.T., Peterson, S.A., Pomranky, R.A., Pierce, L.G., Beck, H.P.: The role of trust in automation reliance. Int. J. Hum. Comput. Stud. 58(6), 697–718 (2003)

    Article  Google Scholar 

  6. Bahner, E., Huper, A.D., Manzey, D.: Misuse of automated decision aids: complacency, automation bias and the impact of training experience. Int. J. Hum. Comput. Stud. 66, 688–699 (2008)

    Article  Google Scholar 

  7. Gilson, R.D., Deaton, J.E., Mouloua, M.: Coping with complex alarms: sophisticated aircraft cockpit alarm systems demand a shift in training strategies. Ergon. Des. 4(4), 12–18 (1996)

    Google Scholar 

  8. Woods, D.D., Sarter, N.B.: Learning from automation surprises and “going sour” accidents. In: Sarter, N.B., Amalberti, R. (eds.) Cognitive Engineering in the Aviation Domain, pp. 327–353. Erlbaum, Mahwah (2000)

    Google Scholar 

  9. Richter, T., Maier, J.: Comprehension of multiple documents with conflicting information: a two-step model of validation. Educ. Psychol. 52, 1–19 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Meredith Carroll .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Carroll, M., Sanchez, P., Wilt, D., Rebensky, S. (2021). Utilizing Simulation to Train Decision Making with Conflicting Information. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_5

Download citation

Publish with us

Policies and ethics