Abstract
Current Man Machine Interfaces (MMI) present information to the operator when it becomes available and when it is convenient to the computer; such automated systems do not act as a ‘team player’. Computers lack insight in the actual status, intentions and occupations of the operator. An approach is presented (COMPANION) in which better co-operation between user and computer is stimulated. In this approach, information about the users’ (physiological) state is used to adapt the MMI of the task at moments or in time periods where this is helpful for optimal task performance. Also task performance measures can be used in this feedback structure. COMPANION is about improving the Human Machine relation by: not interrupting the operator with non-urgent messages when he or she is completing an important task, and supporting the operator when task demands are high. In order to prevent specific solutions for each new task or for each additional information source an Operator Status Model (OSM) has been developed.
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References
De Waard, D., De Jong, C., Brookhuis, K., Brouwer, R., & Antonello, C. (2004). Detecting drowsiness on-the-road after a night shift. Report WP7, Pilot 16. AWAKE IST-2000–28062 Consortium. Groningen: TRAIL Research School, Experimental and Work Psychology.
De Waard, D. & Mulder, L.J.M. (2006). Can cardiovascular indices be used to adapt the ambulance dispatch worker’s task? In S. Miyake and M. Trimmel (Eds.) Proceedings of the 6th International Conference on Psychophysiology in Ergonomics. PIE-IEA Maastricht 2006, pp 90–96.
De Rivecourt, M., Kuperus, M.N., Mulder, L.J.M., & Post, W.J. (in review). Heart rate and eye activity measures as indices for mental effort in aviation.
Ekman, P. & Friesen, W. (1978). Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto, CA.
Endsley, M.R. (1996). Automation and Situation Awareness. In R. Parasuraman & M. Mouloua (Eds.) Automation and Human Performance: Theory and Applications (pp. 163–181). New Jersey: Lawrence Erlbaum Associates.
Endsley, M.R. & Kiris, E.O. (1995). The out-of-the-loop performance problem and level of control in automation. Human Factors, 37, 381–394.
Fairclough, S.H. & Venables, L. (2004). Psychophysiological candidates for biocybernetic control of adaptive automation. In D. de Waard, K.A. Brookhuis, and C.M Weikert (Eds.), Human Factors in Design (pp. 177–189). Maastricht, the Netherlands: Shaker Publishing.
Hoogeboom, P.J. & Mulder, L.J.M. (2004). Physiological indices for the estimation of momentary changes in cognitive workload and mental state. In D. de Waard, K.A. Brookhuis, and C.M Weikert (Eds.), Human Factors in Design (pp. 147–160). Maastricht, the Netherlands: Shaker Publishing.
Kruizinga, A., Mulder, B., & De Waard, D. (2006). Eye scan patterns in a simulated ambulance dispatcher’s task. In: D. de Waard, K.A. Brookhuis & A. Toffetti (eds.). Developments in Human Factors and Transportation, Design and Evaluation. Maastricht, the Netherlands: Shaker Publishing (pp. 305–317).
McClumpha, A.J., James, M., Green, R.G., & Belyavin, A.J. (1991). Pilots’ attitudes to cockpit automation. Proceedings of the Human Factors Society 35th Annual Meeting (pp. 107–111). Human Factors and Ergonomics Society: Santa Monica, Ca, U.S.A.
Mulder, B., Kruizinga, A., Stuiver, A., Venema, I., & Hoogeboom, P. (2004). Monitoring cardiovascular state changes in a simulated ambulance dispatch task for use in adaptive automation. In D. de Waard, K.A. Brookhuis, and C.M Weikert (Eds.), Human Factors in Design (pp. 161–175). Maastricht, the Netherlands: Shaker Publishing.
Parasuraman, R., Mouloua, M., & Molloy, R. (1996). Effects of adaptive task allocation on monitoring of automated systems. Human Factors, 38, 665–679.
Parasuraman, R. & Riley, V. (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors, 39, 230–253.
Parasuraman R., Sheridan, T.B., & Wickens C.D. (2002). A model for types and levels of Human Interaction with automation. IEEE Transactins on Systems, Man, and Cybernetics–Part A: Systems and Humans. Vol. 30, no 3, May 2000, p 286–297.
Pope, A.T., Bogart, E.H. & Bartolome, D. (1995). Biocybernetic system evaluates indices of operator engagement. Biological Psychology, 40, 187–196.
Scerbo, M.W. (1996). Theoretical perspectives on adaptive automation. In R. Parasuraman & M. Mouloua (Eds.) Automation and Human Performance: Theory and Applications (pp. 37–63). New Jersey: Lawrence Erlbaum Associates.
Scerbo, M.W. (1999). Adaptive automation: Working with a computer teammate. In L.J. Hettinger&M.W. Haas (eds.). Psychological issues in the design and use of virtual, adaptive environments. Mahwah, N.J.: Lawrence Erlbaum associates.
Van Kuilenburg, H., Wiering, M. & Den Uyl, M. (2005). A Model Based Method for Automatic Facial Expression Recognition, J. Gama et al. (Eds.): ECML 2005, LNAI 3720, pp. 194–205, Heidelberg: Springer-Verlag Berlin.
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Mulder, B., de Waard, D., Hoogeboom, P., Quispel, L., Stuiver, A. (2008). Using Physiological Measures For Task Adaptation. In: Westerink, J.H.D.M., Ouwerkerk, M., Overbeek, T.J.M., Pasveer, W.F., de Ruyter, B. (eds) Probing Experience. Philips Research, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6593-4_19
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