Technical Papers
Jul 6, 2020

Human Reliability Assessment of Ergonomic Interaction Design for Engineering Software Based on Entropy–FTA–Delphi

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6, Issue 3

Abstract

This paper introduces the assessment method for ergonomic interaction design reliability of the engineering software operation flow in the field of civil engineering. On basic structure of human reliability assessment index system concerning engineering software operation flow, the approaches of multilevel attribute data analysis were expounded by improved entropy, fault tree analysis (FTA), and Delphi to improve user experience and increase engineering software operation efficiency. This study analyzed the key technologies used to evaluate and improve human reliability of ergonomic interaction design, which is significant for enhancing the application quality of engineering software. Guided by functional requirements, every detail complies with the cognition and feelings of the operator. By considering conscious planning, and design with clear goals, the characteristics of not respecting habits, unfriendly interface, no significant themes, user cognitive load, and the operation error rate can be reduced. User interviews, observation, questionnaire surveys, and other methods were adopted to conduct user research on engineering software interfaces in actual operation. Different interface information architectures were studied to explore user behavior habits and preferences when using engineering software interfaces. The principle of user behavior feedback in interface design should be arranged by multichannel input information so that users can locate and detect the current operation behavior more effectively, improving the user experience and enhancing ergonomic interaction design reliability. Existing problems in the strategic layer of the system were raised through user experience, and the interface design of engineering software was assessed based on nine elements of ergonomic interaction design reliability. Eye-tracker experiments were used to verify the validity and rationality of human reliability assessment based on entropy–FTA–Delphi. The human reliability assessment results of ergonomic interaction design reliability can guide the interface design of engineering software.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The paper was partially supported by the Science and Technology Program of Guangzhou (No. 201904010463), the National Natural Science Foundation of China (No. 51905116), and the Teaching Reform Project from Guangzhou University (Nos. 09-18ZX0304 and 09-18ZX0309).

References

Bai, X. P., and Y. N. Liu. 2016. “Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray correlation method.” Front. Struct. Civ. Eng. 10 (4): 462–471. https://doi.org/10.1007/s11709-016-0361-y.
Běhounek, L., and P. Cintula. 2006. “From fuzzy logic to fuzzy mathematics: A methodological manifesto.” Fuzzy Sets Syst. 157 (5): 642–646. https://doi.org/10.1016/j.fss.2005.10.011.
Bhattacharyya, S. K., and A. S. Cheliyan. 2019. “Optimization of a subsea production system for cost and reliability using its fault tree model.” Reliab. Eng. Syst. Saf. 185 (May): 213–219. https://doi.org/10.1016/j.ress.2018.12.030.
Chang, Y., K. Chang, and C. Liaw. 2009. “Innovative reliability allocation using the maximal entropy ordered weighted averaging method.” Comput. Ind. Eng. 57 (4): 1274–1281. https://doi.org/10.1016/j.cie.2009.06.007.
De Haan, J., K. C. Terwel, and K. C. Terwel. 2013. “Design of a human reliability assessment model for structural engineering.” In Proc., 22nd Annual Conf. on European Safety and Reliability (ESREL), 2299–2306. London: CRC Press.
Garnett, C., D. Crane, R. West, J. Brown, and S. Michie. 2015. “Identification of behavior change techniques and engagement strategies to design a smartphone app to reduce alcohol consumption using a formal consensus method.” JMIR Mhealth Uhealth 3 (2): e73. https://doi.org/10.2196/mhealth.3895.
Golabchi, A., S. Han, A. R. Fayek, and S. AbouRizk. 2017. “Stochastic modeling for assessment of human perception and motion sensing errors in ergonomic analysis.” J. Comput. Civil Eng. 31 (4): 04017010. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000655.
Gupta, A., N. Gupta, and R. K. Garg. 2018. “Implementing weighted entropy-distance based approach for the selection of software reliability growth models.” Int. J. Comput. Appl. Technol. 57 (3): 255–266. https://doi.org/10.1504/IJCAT.2018.092990.
Knopp, S. J., P. J. Bones, S. J. Weddell, and R. D. Jones. 2017. “A software framework for real-time multi-modal detection of microsleeps.” Australas. Phys. Eng. Sci. Med. 40 (3): 739–749. https://doi.org/10.1007/s13246-017-0559-x.
Liu, Z., Y. Li, L. He, Y. Yang, and H. Huang. 2014. “A new fault tree analysis approach based on imprecise reliability model.” J. Risk Reliab. 228 (4): 371–381. https://doi.org/10.1177/1748006X14520824.
Liu, Z., and X. Liu. 2018. “An improved approach by introducing copula functions for structural reliability analysis under hybrid uncertainties.” Adv. Mech. Eng. 10 (7): 168781401878583. https://doi.org/10.1177/1687814018785839.
Liu, Z., L. Yu, Y. F. Li, J. Mi, and H. Z. Huang. 2017. “Comparisons of two non-probabilistic structural reliability analysis methods for aero-engine turbine disk.” Int. J. Turbo Jet-Engines 3 (34): 295–303. https://doi.org/10.1515/tjj-2016-0010.
Miśkiewicz, J. 2008. “Globalization: Entropy unification through the Theil index.” Physica A 387 (26): 6595–6604. https://doi.org/10.1016/j.physa.2008.08.007.
Morales-Nápoles, O., D. Paprotny, D. Worm, and L. Abspoel-Bukman. 2017. “Characterization of precipitation through copulas and expert judgement for risk assessment of infrastructure.” ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng. 3 (4): 04017012. https://doi.org/10.1061/AJRUA6.0000914.
Mubarak, N., E. Hatah, M. Aris, A. A. Shafie, and C. S. Zin. 2019. “Consensus among healthcare stakeholders on a collaborative medication therapy management model for chronic diseases in Malaysia; A Delphi study.” PLoS One 14 (5): e0216563. https://doi.org/10.1371/journal.pone.0216563.
Ntzeremes, P., K. Kirytopoulos, and G. Filiou. 2020. “Quantitative risk assessment of road tunnel fire safety: Improved evacuation simulation model.” ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng. 6 (1): 04019020. https://doi.org/10.1061/AJRUA6.0001029.
Offergeld, E. M. 2001. “An interdisciplinary approach for successfully integrating human-centered design methods into development processes practiced by industrial software development organizations.” In Proc., 8th IFIP Int. Conf. on Engineering for Human-Computer Interaction, 19–33. Berlin: Springer.
Ogunyemi, A., D. Lamas, and E. Eze. 2018. “Exploring the state of human-centred design practice in software development companies: A cross-case analysis of three Nigerian software companies.” Interact. Comput. 30 (5): 444–467. https://doi.org/10.1093/iwc/iwy020.
Sharafi, Z., Z. Soh, and Y. Guéhéneuc. 2015. “A systematic literature review on the usage of eye-tracking in software engineering.” Inf. Software Technol. 67 (Nov): 79–107. https://doi.org/10.1016/j.infsof.2015.06.008.
Shields, M. D., S. Au, and B. Sudret. 2019. “Advances in simulation-based uncertainty quantification and reliability analysis.” ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng. 5 (4): 02019003. https://doi.org/10.1061/AJRUA6.0001025.
Xu, Y., J. F. Y. Yeung, A. P. C. Chan, D. W. M. Chan, S. Q. Wang, and Y. Ke. 2010. “Developing a risk assessment model for PPP projects in China: A fuzzy synthetic evaluation approach.” Autom. Constr. 19 (7): 929–943. https://doi.org/10.1016/j.autcon.2010.06.006.
Yang, C., C. J. Lin, Y. Jou, and T. Yenn. 2007. A review of current human reliability assessment methods utilized in high hazard human-system interface design, 212–221. Berlin: Springer.
Zhu, S. P., S. Foletti, and S. Beretta. 2018a. “Evaluation of size effect on strain-controlled fatigue behavior of a quench and tempered rotor steel: Experimental and numerical study.” Mater. Sci. Eng., A 735 (Sep): 423–435. https://doi.org/10.1016/j.msea.2018.08.073.
Zhu, S. P., Q. Liu, W. Peng, and X. Zhang. 2018b. “Computational-experimental approaches for fatigue reliability assessment of turbine bladed disks.” Int. J. Mech. Sci. 142–143 (Jul): 502–517. https://doi.org/10.1016/j.ijmecsci.2018.04.050.
Zhu, S. P., Q. Liu, J. Zhou, and Z. Y. Yu. 2018c. “Fatigue reliability assessment of turbine discs under multi-source uncertainties.” Fatigue Fract. Eng. Mater. Struct. 41 (6): 1291–1305. https://doi.org/10.1111/ffe.12772.

Information & Authors

Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 6Issue 3September 2020

History

Received: Dec 6, 2019
Accepted: Mar 9, 2020
Published online: Jul 6, 2020
Published in print: Sep 1, 2020
Discussion open until: Dec 6, 2020

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Professor, Industrial Design Specialty, Guangzhou Univ., No. 230, GuangZhou University City Outer Ring Rd., Guangzhou, Guangdong 510006, PR China. Email: [email protected]
Assistant Professor, School of Mechanical and Electrical Engineering, Guangzhou Univ., No. 230, GuangZhou University City Outer Ring Rd., Guangzhou, Guangdong 510006, PR China (corresponding author). Email: [email protected]
Professor, Center for System Reliability and Safety, School of Mechanical and Electrical Engineering, Univ. of Electronic Science and Technology of China, Chengdu 611731, PR China. ORCID: https://orcid.org/0000-0003-2193-6484. Email: [email protected]
J. A. F. O. Correia [email protected]
Researcher and Invited Professor, Instituto Nacional de Estadística y Geografía, Faculty of Engineering, Univ. of Porto, Porto 4200-465, Portugal. Email: [email protected]
A. M. P. De Jesus [email protected]
Associate Professor, Faculty of Engineering, Univ. of Porto, Porto 4200-465, Portugal. Email: [email protected]
Peng-Qing Chen [email protected]
Industrial Design Specialty, Guangzhou Univ., No. 230, GuangZhou University City Outer Ring Rd., Guangzhou, Guangdong 510006, PR China. Email: [email protected]
Industrial Design Specialty, Guangzhou Univ., No. 230, GuangZhou University City Outer Ring Rd., Guangzhou, Guangdong 510006, PR China. Email: [email protected]
Rong-Hao Chen [email protected]
Undergraduate Student, Industrial Design Specialty, Guangzhou Univ., No. 230, GuangZhou University City Outer Ring Rd., Guangzhou, Guangdong 510006, PR China. Email: [email protected]
Undergraduate Student, Industrial Design Specialty, Guangzhou Univ., No. 230, GuangZhou University City Outer Ring Rd., Guangzhou, Guangdong 510006, PR China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share