Skip to main content

Effects of Information Acquisition Method on Diagnostic Task Performance Using Digitalized Interfaces

  • Conference paper
  • First Online:
Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 589))

Included in the following conference series:

Abstract

This study investigated the effects of information acquisition method on performance and behavior of diagnostic tasks in a simulated nuclear power plant (NPP) system. Four different displays were designed. Each type of display had one specific information acquisition method (namely, query, filter, and query + filter, as well as conventional visual search). Experimental results revealed that visual search display gave the shortest completion time, lowest subjective workload, and shortest time to get the first correct hypothesis. However, the Query display, Filter display and the Query + Filter display did not show anticipated strength in aiding diagnosis. Meanwhile, high time pressure led to shorter completion time, shorter time to get the first diagnosis, and higher subjective mental workload. The results enrich the evaluation for information acquisition methods and may provide cues of interface design for complex industrial systems.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Rasmussen, J.: Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. SMC 13(3), 257–266 (1983)

    Google Scholar 

  2. Weber, E.U., Böckenholt, U., Hilton, D.J., Wallace, B.: Determinants of diagnostic hypothesis generation: effects of information, base rates, and experience. J. Exp. Psychol. Learn. Mem. Cogn. 19(5), 1151–1164 (1993)

    Article  Google Scholar 

  3. Kim, J.H., Lee, S.J., Seong, P.H.: Investigation on applicability of information theory to prediction of operator performance in diagnosis tasks at nuclear power plants. IEEE Trans. Nucl. Sci. 50(4), 1238–1252 (2003)

    Article  Google Scholar 

  4. Zhou, Y., Zhang, L.: Analysis of operators’ diagnosis tasks based on cognitive process. Nucl. Power Eng. 33(5), 69–75 (2012)

    MathSciNet  Google Scholar 

  5. Vicente, K.J., Moray, N., Lee, J.D., Rasmussen, J., Jones, B.G., Brock, R., Djemil, T.: Evaluation of a rankine cycle display for nuclear power plant monitoring and diagnosis. Hum. Factors J. Hum. Factors Ergon. Soc. 38(3), 506–521 (1996)

    Article  Google Scholar 

  6. Burns, C.M., Hajdukiewicz, J.: Ecological Interface Design. CRC Press, Boca Raton (2004)

    Google Scholar 

  7. Vicente, K.J.: Ecological interface design: progress and challenges. Hum. Factors J. Hum. Factors Ergon. Soc. 44(1), 62–78 (2002)

    Article  Google Scholar 

  8. Gao, Z., Cecati, C., Ding, S.X.: A survey of fault diagnosis and fault-tolerant techniques part i: fault diagnosis with model-based and signal-based approaches. IEEE Trans. Ind. Electron. 62(6), 3757–3767 (2015)

    Article  Google Scholar 

  9. Gao, Z., Cecati, C., Ding, S.X.: A survey of fault diagnosis and fault-tolerant techniques part ii: fault diagnosis with knowledge-based and hybrid/active approaches. IEEE Trans. Industr. Electron. 62(6), 3768–3774 (2015)

    Google Scholar 

  10. Kim, J.H., Seong, P.H.: Human factors engineering in large-scale digital control systems. In: Seong, P.H. (ed.) Reliability and Risk Issues in Large Scale Safety-critical Digital Control Systems, pp. 163–195. Springer, London (2009)

    Chapter  Google Scholar 

  11. Chen K.J.: Diagnosis task performance influencing factors in digitalized industrial systems. Ph.D. dissertation, Tsinghua University, Beijing (2015)

    Google Scholar 

  12. Svenson, O., Edland, A.: Change of preferences under time pressure: choices and judgements. Scand. J. Psychol. 28(4), 322–330 (1987)

    Article  Google Scholar 

  13. Svenson, O., Benson, L.: Framing and time pressure in decision making. In: Svenson, O., Maule, A.J. (eds.) Time Pressure and Stress in Human Judgment and Decision Making. Springer, New York (1993)

    Google Scholar 

  14. Edland, A., Svenson, O.: Judgement and decision making under time pressure. In: Svenson, O., Maule, A.J. (eds.) Time pressure and stress in human judgement and decision making, pp. 27–40. Springer, New York (1993)

    Chapter  Google Scholar 

  15. Braun, R.L.: The effect of time pressure on auditor attention to qualitative aspects of misstatements indicative of potential fraudulent financial reporting. Acc. Organ. Soc. 25(3), 243–259 (2000)

    Article  Google Scholar 

  16. Hahn, M., Lawson, R., Lee, Y.G.: The effects of time pressure and information load on decision quality. Psychol. Mark. 9(5), 365–378 (1992)

    Article  Google Scholar 

  17. Coury, B.G., Boulette, M.D.: Time stress and the processing of visual displays. Hum. Factors J. Hum. Factors Ergon. Soc. 34(6), 707–725 (1992)

    Article  Google Scholar 

  18. Ham, D., Yoon, W.C.: The effects of presenting functionally abstracted information in fault diagnosis tasks. Reliab. Eng. Syst. Saf. 73(2), 103–119 (2001)

    Article  Google Scholar 

  19. Wu, X.J., Gao, Q., Song, F., Dong, X.L., Li, Z.Z.: Display design for AP1000 nuclear power plant: FBTA method vs. traditional method. In: Paper Presented at the 11th International Conference on Probabilistic Safety Assessment and Management & Annual European Safety and Reliability Conference 2012 (PSAM 2011 & ESREL 2012), Helsinki, Finland (2012)

    Google Scholar 

Download references

Acknowledgments

This study was supported by the National Natural Science Foundation of China (project No. 71371104).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhizhong Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Ding, X., Li, Z., She, M. (2018). Effects of Information Acquisition Method on Diagnostic Task Performance Using Digitalized Interfaces. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2017. Advances in Intelligent Systems and Computing, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-319-60645-3_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60645-3_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60644-6

  • Online ISBN: 978-3-319-60645-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics