research-article

Activity Analysis of Expert and Novice Operators in a Semi-Automated Manufacturing Process

Authors:

Marie Hoarau,

Camilo Charron,

Franck MarsAuthors Info & Claims

ECCE '14: Proceedings of the 2014 European Conference on Cognitive Ergonomics

Article No.: 19, Pages 1 - 4

https://doi.org/10.1145/2637248.2637271

Published: 01 September 2014 Publication History

Get Access

Abstract

Designing a human-machine interface for a manufacturing process requires a good knowledge of both the work domain and the operators' representation. Ecological Interface Design (EID) offers some interesting tools that can be of help in the design process. The literature on cognitive control also offers a good understanding of operators' cognitive resources. Analysing the activity of both expert and novice operators through these two frameworks may help us to better understand the differences between them. A three-step protocol was followed: 1. the elaboration of a means-end hierarchy, 2. the extraction of schemes via interviews, and 3. the evaluation of the behavioural manifestation of schemes. In the present case study, interviews revealed that both the novice and expert operators of a manufacturing process shared a representation of the global process. However, in contrast with the expert operators, the novice operators did not develop an operative scheme that related to the machine. The results will be used as a basis for the design of a human-machine interface that will aid them to do so.

References

[1]

Bennett, K.B. and Flach, J. Display and interface design: subtle science, exact art. CRC Press, Boca Raton; London, 2011.

Digital Library

Google Scholar

[2]

Charron, C., Hoc, J.-M., and Milleville-Pennel, I. Cognitive control by brain-injured car drivers: an exploratory study. Ergonomics 53, 12 (2010), 1434--1445.

Crossref

Google Scholar

[3]

Flach, J.M., Tanabe, F., Monta, K., Vicente, K.J., and Rasmussen, J. An ecological approach to interface design. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, SAGE Publications (1998), 295--299.

Crossref

Google Scholar

[4]

Hoc, J.-M. and Amalberti, R. Cognitive control dynamics for reaching a satisficing performance in complex dynamic situations. Journal of Cognitive Engineering and Decision Making 1, 1 (2007), 22--55.

Crossref

Google Scholar

[5]

Omodei, M.M. and Wearing, A.J. The Fire Chief microworld generating program: An illustration of computer-simulated microworlds as an experimental paradigm for studying complex decision-making behavior. Behavior Research Methods, Instruments, & Computers 27, 3 (1995), 303--316.

Google Scholar

[6]

Rasmussen, J. Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. Systems, Man and Cybernetics, IEEE Transactions on, 3 (1983), 257--266.

Google Scholar

[7]

Rogalski, J. Psychological analysis of complex work environments. In M. Fischer, N. Boreham and B. Nyham, eds., European perspectives on learning at work: the acquisition of work process knowledge. Office of official publications of the european communities, Luxembourg, 2004, 218--236.

Google Scholar

[8]

Vergnaud, G. Multiplicative structures. Number concepts and operations in the middle grades 2, (1988).

Google Scholar

[9]

Vicente, K.J. Cognitive work analysis: Toward safe, productive, and healthy computer-based work. CRC Press, 1999.

Digital Library

Google Scholar

Cited By

View all

Park EJung YKim ILee U(2023)Charlie and the Semi-Automated Factory: Data-Driven Operator Behavior and Performance Modeling for Human-Machine Collaborative SystemsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581457(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581457
Mgbemena COyekan JHutabarat WXu YTiwari A(2017)Design and implementation of ergonomic risk assessment feedback system for improved work posture assessmentTheoretical Issues in Ergonomics Science10.1080/1463922X.2017.138119619:4(431-455)Online publication date: 3-Oct-2017
https://doi.org/10.1080/1463922X.2017.1381196
Hoarau MCharron CMars F(2016)Where do misleading schemes of operators in industry come from?Proceedings of the 15th Ergo'IA "Ergonomie Et Informatique Avancée" Conference10.1145/3050385.3050386(1-8)Online publication date: 6-Jul-2016
https://dl.acm.org/doi/10.1145/3050385.3050386

Index Terms

Activity Analysis of Expert and Novice Operators in a Semi-Automated Manufacturing Process
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Expert versus novice use of the executive support systems: an empirical study

Expertise is essential in problem solving, particularly for executives. Much literature indicates that, in solving daily problems, executives may employ both analytical thinking and intuition. To develop skills and apply intuition, company executives ...
Expert vs. Novice use of Executive Support Systems: An Empirical Study
HICSS '01: Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 8 - Volume 8

Expertise is essential in problem solving, particularly for executives. Much literature indicates that in solving daily problems, executives may employ both analytical thinking and intuition. To develop analytical thinking skills and effectively apply ...
Almost an Expert: The Effects of Rubrics and Expertise on Perceived Value of Crowdsourced Design Critiques
CSCW '16: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing

Expert feedback is valuable but hard to obtain for many designers. Online crowds can provide fast and affordable feedback, but workers may lack relevant domain knowledge and experience. Can expert rubrics address this issue and help novices provide ...

Comments

Information & Contributors

Information

Published In

ECCE '14: Proceedings of the 2014 European Conference on Cognitive Ergonomics

September 2014

191 pages

ISBN:9781450328746

DOI:10.1145/2637248

General Chair:
Christian Stary
Johannes Kepler University Linz, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

EACE: European Association of Cognitive Ergonomics

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ECCE '14

ECCE '14: European Conference on Cognitive Ergonomics

September 1 - 3, 2014

Vienna, Austria

Acceptance Rates

Overall Acceptance Rate 56 of 91 submissions, 62%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
71
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 11 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Park EJung YKim ILee U(2023)Charlie and the Semi-Automated Factory: Data-Driven Operator Behavior and Performance Modeling for Human-Machine Collaborative SystemsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581457(1-16)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581457
Mgbemena COyekan JHutabarat WXu YTiwari A(2017)Design and implementation of ergonomic risk assessment feedback system for improved work posture assessmentTheoretical Issues in Ergonomics Science10.1080/1463922X.2017.138119619:4(431-455)Online publication date: 3-Oct-2017
https://doi.org/10.1080/1463922X.2017.1381196
Hoarau MCharron CMars F(2016)Where do misleading schemes of operators in industry come from?Proceedings of the 15th Ergo'IA "Ergonomie Et Informatique Avancée" Conference10.1145/3050385.3050386(1-8)Online publication date: 6-Jul-2016
https://dl.acm.org/doi/10.1145/3050385.3050386

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Expert versus novice use of the executive support systems: an empirical study

Expert vs. Novice use of Executive Support Systems: An Empirical Study

Almost an Expert: The Effects of Rubrics and Expertise on Perceived Value of Crowdsourced Design Critiques

Comments

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Expert versus novice use of the executive support systems: an empirical study

Expert vs. Novice use of Executive Support Systems: An Empirical Study

Almost an Expert: The Effects of Rubrics and Expertise on Perceived Value of Crowdsourced Design Critiques

Comments

Information

Published In

In-Cooperation

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations