Visual representation of complex information structures in high volume manufacturing

IFIP International Federation for Information Processing

Volumn 221, Issue , 2006, Pages 27-45

  Upton, Connor ^a   Doherty, Gavin ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHICAL USER INTERFACES; MANUFACTURE; SEMICONDUCTOR DEVICE MANUFACTURE;

COGNITIVE WORK ANALYSIS; CONTEXTUAL NAVIGATION; DATA REPRESENTATIONS; ECOLOGICAL INTERFACE DESIGN; EXPLICIT REPRESENTATION; HIGH VOLUME MANUFACTURING; SEMICONDUCTOR MANUFACTURING; VISUAL REPRESENTATIONS;

LARGE SCALE SYSTEMS;

EID: 33845973766     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-36792-7_2     Document Type: Article

References (16)

1. Woods, D., Johannesen, L, Cook, R., Sarter, N. (1994) Behind Human Error: Cognitive Systems, Computers and Hindsight CSERIAC
2. Zhang, J. & Norman, D. A. (1994). Representations in distributed cognitive tasks. Cognitive Science, 18, 87-122.
3. Hutchins E. (1995). How A Cockpit Remembers its Speeds. Cognitive Science, 19, 265-288
4. Bertin, J. (1983) Semiology of Graphics The University of Wisconsin Press, Madison. Translated by William J. Berg.
5. Zhang, J. (1996). A representational analysis of relational information displays. International Journal of Human-Computer Studies, 45, 59-74.
6. Zhang, J. (1997). The nature of external representations in problem solving. Cognitive Science, 21(2), 179-217.
7. Potter, S. S., Elm, W. C, Roth, E. M, Gualtieri, and J., Easter, J., (2002). Bridging the Gap between Cognitive Analysis and Effective Decision Aiding. In M. D. McNeese and M. A. Vidulich (Eds) State of the Art Report (SOAR): Cognitive Systems Engineering in Miltary Aviation Environments: Avoiding Cogminutia Fragmentosa! Wright-Patterson AFB, OH: Human Systems Information Analysis Center, (pp 137-168). Also available at: http://iac.dtic.mil/hsiac/.
8. Vicente, K. J., and Rasmussen, J., "Ecological interface design: Theoretical foundations," IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-22, pp. 589-606, 1992.
9. Bisantz, A. M., and Vicente, K. J., "Making the abstraction hierarchy concrete," International Journal of Human-Computer Studies, vol. 40, pp. 83-117, 1994.
10. Vicente, K. J. (1999). Cognitive Work Analysis: Toward safe, productive, and healthy computer-based work. Mahwah, NJ: Lawrence Erlbaum Associates
11. Rasmussen, J. (1979). On the structure of knowledge - A morphology of mental models in a man-machine system context. Risø Report M-2192. Roskilde, Denmark: Risø National Laboratory, Denmark
12. Rasmussen, J. (1985). The role of hierarchical knowledge representation in decision making and system management. IEEE Transactions on Systems, Man, and Cybernetics, 15(2), pp. 234-243.
13. Rasmussen, J (1983). "Skills, rules, knowledge: Signals, signs, and symbols and other distinctions in human performance models." IEEE Trans. Syst., Man, Cybern. Vol. SMC-13. pp.257-267. 1983.
14. Upton, C. and Doherty, G. (2005) Designing Usable Decision Support Systems for HVM. Proceedings of 10th IEEE International Conference on Emerging Technologies and Factory Automation, Vol. 1, pp. 459-466 Lo Bello, L. and Sauter, T.(Eds.)
15. Card, S., Mackinlay, J. and Shneiderman, B. (1999) Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann
16. Waloszek, G. (2004) "Fighting (with) Hierarchies - Part II: Presentation" SAP AG, Product Design Center - 04/27/2001, updated 01/29/ 2004. available at: http://www.sapdesignguild.org/community/design/hierarchies2.asp