Abstract
One of the current research areas in automotive field is aimed at improving driving safety with regards to the development of preventive support systems, also called ADAS (Advanced Driver Assistance Systems). These systems are able to detect a critical situation and to inform timely the driver, so that a repairing maneuver can be performed. From the human factors point of view, driving is considered as a complex cognitive task that can be summarized by four main sub-processes: perception, analysis, decision and action . To be performed, each phase presumes the achievement of the previous one, An exception occurs when humans overcome planning / decision phase and go directly from analysis / interpretation to action / execution (almost in automatic way). This paper intends to propose, following the main literature on human-centered automation, how the ADAS intervention can be designed without negative impact on driving safety. In particular, a forward collision warning has been studied. For this study, the Levels Of Automation (LOA) classified by Parasuramam and Sheridan (2000) has been used as well as the studies in the domain of the so-called Adaptive Automation (AA) (Kaber Riley, Endsley 2001; Scerbo 1996), that allow to adapt the information to the driver’s workload and to the context level of dangerousness.
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References
Bekiaris, E., Amditis, A., Panou, M.: DRIVABILITY: a new concept for modelling driving performance, Cognition Technology and Work, June 2003 (2003)
Berghout, L., Versteegt, E., van Arem, B.: Advanced driver assistance systems; Results of the State of the Art of ADASE-II (2003), available on http://www.adase2.net
Brusilovsky, P.: Methods and Techniques of Adaptive Hypermedia. Journal of user modeling and user-adapted interaction 6(2-3), 87–129 (1996)
Cacciabue, P.C.: Guide to Applying Human Factors Methods—Reference odel of Cognition Chapter. Springer, Berlin (2004)
Calefato, C.: HMI e Adaptive automation. In: info@teoresi - news¬es, periodico di Information Technology, N 3/4, December 2005 (2005)
Campbell, J.L., Carney, C., Kantowitz, T.H.: Human Factors Design Guidelines for Advanced Traveller Information Systems (ATIS) and Commercial Vehicle Operations (CVO). Georgetown Pike, VA: Office of Safety and Traffic Operations R&D Federal Highway Administration FHWA-RD-98-057 (1998)
Carrea, P., Deregibus, E., Montanari, R.: The Invisible Hand: How to design the best interaction between Advanced Driver Assistance Systems and Car Users, SAE 2000-01-CO34 (2000)
De Waard, D.: The measurement of drivers’ mental workload, Dissertation Rijksuniversiteit Groningen (1996)
Di Nocera, F.: Che cos’è l’ergonomia cognitiva, Carocci editore, Roma (2004)
Endsley, M.R., Endsley, M.R.: Automation and situation awareness. In: Parasuraman, R.e., Mouloua, M. (eds.) Automation and human performance: Theory and applications, pp. 163–181. Lawrence Erlbaum, Mahwah (1996)
Endsley, M.R.: Situation Awareness, Automation and Free Flight, presentato al FAA/Eurocontrol Air Traffic Management R&D Seminary, Saclay, France – June 1997 (1997)
Fitts, P.M.: Human Engineering for an Effective Air Navigation and Traffic Control System. National Research Council, Washington, DC (1951)
Green, P.: Alliance of Automobile Manufacturers Statement of Principles, Criteria and Verification Procedures on Driver Interactions with Advanced In Vehicle Information and Communication Systems (draft version 3.0), Alliance of Automobile Manufacturers Washington, D.C (2003)
Hancock, P.A., Chignell, M.H.: Adaptive control in human-machine systems. In: Hancock, P.A. (ed.) Human factors psychology, pp. 305–345. Elsevier Science Publishers, North Holland (1987)
Harrison, M.D., Johnson, P.D., Wright, P.C.: Automating Function in multi agent control systems: supporting the decision process. In: Proceedings of the Tenth Safety-critical Systems Symposium (2002)
Hollnagel, E.: Driver Distraction, Telematics Design, and Workload Managers: Safety Issues and Solutions, SAE Paper Number 2004-21-0022 (2004)
Kaber, D.B., Riley, J.M., Tan, K., Endsley, M.R: On the Design of Adaptive Automation for Complex Systems. International Journal of Cognitive Ergonomics 5(1) (2001)
Francesco, M., Gianna, M., Adriano, O., Fernando, L., Sergio, P., Liza, V.B.: a cura di, Glossario di Ergonomia, Inail, Sovrintendenza Medica Generale (2002), available at http://www.inail.it
Mariani, M., Bagnara, S., Montanari, R.: Fasi iniziali della progettazione centrata sull’utente per sistemi multimediali d’auto, Convegno nazionale della SIE (Società Italiana di Ergonomia), Firenze 2001 (2001)
Montanari, R.: Safety and driver’s information: designing adaptive in-vehicle user interface, PhD. Thesis, University of Florence 2004 (2004)
Parasuraman, R., Bahri, T., Deaton, J.E., Morrison, J.G., Barnes, M.: Theory and design of adaptive automation in aviation systems (Technical Report No. NAWCADWAR-92033-60). Naval Air Warfare Center, Aircraft Division, Warminster, PA (1992)
Parasuraman, R., Sheridan, T.B.: A Model for Types and Levels of Human Interaction with Automation, Fellow. Transactions on systems, man, and cybernetics – Part A: Systems and humans 30(3) (2000)
Prinzel, L.J.: Team-Centerede perspective for Adaptive Automation Design, Langley Research Center, Hampton, Virginia, available from NASA Center for Areospace Information (CASI) (2003)
Ling, R., Richard, K., Frederic, F., Michael, H., Gavriel, S.: Review and reappraisal of adaptive interfaces: toward biologically-inspired paradigms, publication: Theoretical Issues in Ergonomic Science (2002)
Rouse, W.B.: Adaptive allocation of decision making responsibility between supervisor and computer. In: Sheridan, T.B., Johannsen, G. (eds.) Monitoring behavior and supervisory control, pp. 295–306. Plenum Press, New York (1976)
Saroldi, A.: Traffic Scenario Sensors: needs and perspectives – Presentation at ATAEL Conference on ADAS – Siena (2002)
Saroldi, A., Bianco, E.: ADASE II Project Deliverable: Status of Practise (2003)
Scerbo, M.W.: Theoretical perspectives on adaptive automation. In: Parasuraman, R., Mouloua, M. (eds.) Human performance in automated systems: Theory and applications, Lawrence Erlbaum Associates, Mahwah, NJ (1996)
Sheridan, T.B.: Telerobotics, Automation, and Human Supervisory Control. MIT Press, Cambridge, MA (1992)
Wickens, C.D.: Processing resources in attention. In: Parasuraman, R., Davies, D.R. (eds.) Varieties of Attention, pp. 63–102. Academic Press, London (1984)
Wickens, C.D.: Attention and skilled performance. In: Holding, D.H. (ed.) Human Skills, pp. 71–105. John Wiley & Sons, Chichester, UK (1989)
Wickens, C.D.: Engineering psychology and human performance, 2nd edn., Harper Collins, New York (1992)
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Caleefato, C., Montanari, R., Tango, F. (2007). Advanced Drivers Assistant Systems in Automation. In: Jacko, J.A. (eds) Human-Computer Interaction. Interaction Platforms and Techniques. HCI 2007. Lecture Notes in Computer Science, vol 4551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73107-8_85
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DOI: https://doi.org/10.1007/978-3-540-73107-8_85
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