Allocation of function: scenarios,context and the economics of effort |
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| Affiliation: | 1. Department of Abdominal and Pelvic Surgery, National Cancer Institute (INCA), Rio de Janeiro, Brazil;2. Department of General and Digestive Surgery, Federal University of the State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil;1. Department of Biomedical Informatics, The Ohio State University, United States;2. Department of Computer Science and Engineering, The Ohio State University, United States;3. Department of Electrical and Computer Engineering, The Ohio State University, United States;4. Department of Computer Science, University of North Carolina at Charlotte, United States;1. Human Factor Institute, University of South China, Hengyang 421001, Hunan, People’s Republic of China;2. Systems Engineering & Engineering Management, University of North Carolina at Charlotte, 28223, Charlotte, USA;3. School of Nuclear Science and Technology, University of South China, Hengyang 421001, Hunan, People’s Republic of China;1. Miami University, Oxford, OH, United States;2. Idaho State University, Pocatello, ID, United States;3. University of Cincinnati, Cincinnati, OH, United States;4. Oklahoma University, Norman, OK, United States;1. The Research Center of Logistics, Nankai University, Tianjin 300071, China;2. School of Information Engineering, China University of Geosciences in Beijing, 100083, China;3. School of Business, Nankai University, Tianjin 300071, China;4. Faculty of Engineering, The University of Hong Kong, Hong Kong;5. School of Aerospace Engineering, Xiamen University, Xiamen 361005, China |
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| Abstract: | In this paper, we describe an approach to allocation of function that makes use of scenarios as its basic unit of analysis. Our use of scenarios is driven by a desire to ensure that allocation decisions are sensitive to the context in which the system will be used and by insights from economic utility theory. We use the scenarios to focus the attention of decision makers on the relative costs and benefits of developing automated support for the activities of the scenario, the relative impact of functions on the performance of the operator's primary role and on the relative demands placed on an operator within the scenario. By focussing on relative demands and relative costs, our method seeks to allocate the operator's limited resources to the most important and most productive tasks within the work system, and to direct the effort of the design organization to the development of automated support for those functions that deliver the greatest benefit for the effective operation of the integrated human–machine system. |
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