Work domain analysis and sensors I: principles and simple example |
| |
| Affiliation: | 1. IXICO Ltd., London, UK;2. Eli Lilly and Company, Indianapolis, IN, USA;3. European Medicines Agency, London, UK;4. Alzheimer''s Association, Chicago, IL, USA;5. The University of Texas School of Public Health, Houston, TX, USA;6. University of California, Davis, CA, USA;7. IRCCS Fatebenefratelli, Brescia, Italy;8. University of California, San Diego, CA, USA;9. Coalition Against Major Diseases, Critical Path Institute, Tucson, AZ, USA;10. Wellnessmanagments.com, Livingston, NJ, USA;11. UCL Institute of Neurology, London, UK;12. Mayo Clinic, Rochester, MN, USA;13. Bristol Myers Squibb, Wallingford, CT, USA;14. Janssen Pharmaceutical Research and Development, Titusville, NJ, USA;15. Novartis, Basel, Switzerland;p. Novartis, NJ, USA;q. AstraZeneca, Wilmington, DE, USA;r. Independent science writer, Elverson, PA, USA;s. CHDI Foundation Inc., Princeton, NJ, USA;t. ICON Medical Imaging, Warrington, PA, USA;u. SYNARC Inc., Newark, CA, USA;v. Department of Computing, Imperial College London, London, UK;1. Alliant Quality, Atlanta, GA;2. Rollins School of Public Health, Emory University, Atlanta, GA;1. Laboratório de Doenças Transmissíveis, Departamento de Parasitologia, Centro de Pesquisas Aggeu Magalhães, Av. Prof. Moraes Rego, s/n, Recife, PE, 50670 420, Brazil;2. Department of Neurology, Faculdade de Ciências Médicas, Universidade de PernammbucoRua Arnóbio Marques, 310 – Santo Amaro, Recife/PE CEP: 50100-130, Brazil;3. Laboratório de Imunopatologia Keizo Asami, Av. Prof. Moraes Rego, 1235–Cidade Universitária, Recife, PE, CEP: 50670-901, Brazil;1. Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States;2. Department of Neurology, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States;3. University Hospitals Cleveland Medical Center Neurological Institute, Cleveland, Ohio, United States;4. Louis Stokes Veterans Affairs Cleveland Medical Center, Cleveland, Ohio, United States;5. Department of Psychiatry, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States |
| |
| Abstract: | In this paper we establish a foundation for understanding the instrumentation needs of complex dynamic systems if ecological interface design (EID)-based interfaces are to be robust in the face of instrumentation failures. EID-based interfaces often include configural displays which reveal the higher-order properties of complex systems. However, concerns have been expressed that such displays might be misleading when instrumentation is unreliable or unavailable. Rasmussen's abstraction hierarchy (AH) formalism can be extended to include representations of sensors near the functions or properties about which they provide information, resulting in what we call a “sensor-annotated abstraction hierarchy”. Sensor-annotated AHs help the analyst determine the impact of different instrumentation engineering policies on higher-order system information by showing how the data provided from individual sensors propagates within and across levels of abstraction in the AH. The use of sensor-annotated AHs with a configural display is illustrated with a simple water reservoir example. We argue that if EID is to be effectively employed in the design of interfaces for complex systems, then the information needs of the human operator need to be considered at the earliest stages of system development while instrumentation requirements are being formulated. In this way, Rasmussen's AH promotes a formative approach to instrumentation engineering. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
