How can humans understand their automated cars? HMI principles, problems and solutions
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Baguley CJ (1988) Running the red at signals on high-speed road. Traffic Eng Control 29:415–420
Bengler K, Zimmerman M, Bortot D, Kienle M, Damböck D (2012) Interaction principles for cooperative human-machine systems. Inf Technol 54(4):157–164
Blanco M, Atwood J, Vasquez HM, Trimble TE, Fitchett VL, Radlbeck J, Fitch GM, Russell SM, Green CA, Cullinane B, Morgan JF (2015) Human factors evaluation of level 2 and level 3 automated driving concepts. Report No DOT HS 812 182. National Highway Traffic Safety Administration, Washington DC
Bos JE, Hogervorst MA, Munnoch K, Perrault D (2008) Human performance at sea assessed by dynamic visual acuity. In: Proceedings of ABCS symposium human performance in the maritime environment. Pacific 2008 International Maritime Conference, Sydney
Carsten OMJ, Lai FCH, Barnard Y, Jamson AH, Merat N (2012) Control task substitution in semi-automated driving: does it matter what aspects are automated? Hum Factors 54(5):747–761
De Vos AP, Theeuwes J, Hoekstra W, Coemet MJ (1997) Behavioural aspects of automatic vehicle guidance: relationship between headway and driver comfort. Transp Res Rec 1573:17–22
De Winter J, Happee R, Martens MH, Stanton NA (2014) Effects of adaptive cruise control and highly automated driving on workload and situation awareness: a review of the empirical evidence. Transp Res Part F Traffic Psychol Behav 27(B):196–217
De Gelder E, Cara I, Uittenbogaard J, Kroon L, van Iersel S, Hogema J (2016) Towards personalised automated driving: prediction of preferred ACC behaviour based on manual driving. In: Proceedings of IEEE intelligent vehicles symposium, Gothenburg, pp 1211–1216
Dekker S (2009) Report of the flight crew human factors investigation conducted for the Dutch safety board into the accident of TK1951, Boeing 737–800 near Amsterdam Schiphol Airport, February 25, 2009. Lund University, Sweden
Desmond PA, Matthews G (2009) Individual differences in stress and fatigue in two field studies of driving. Transp Res Part F Traffic Psychol Behav 12:265–276
Diels C, Bos JE, Hottelart K, Reilhac P (2016) The impact of display position on motion sickness in automated vehicles: an on-road study. In: Automated vehicle symposium, San Francisco, 19–21 July
EASA (2017) Type rating & license endorsement list—all aircraft, excluding helicopters. European Aviation Safety Agency, Cologne
Endsley MR (2015) Situation awareness: operationally necessary and scientifically grounded. Cogn Tech Work 17:163–167
Fitch G (2015) The HMI for the automated vehicle: enabling safe interaction with automated vehicles. TU Automotive, London
Flemisch F, Kelsch J, Löper C, Schieben A, Schindler J, Heesen M (2008) Cooperative control and active interfaces for vehicle assistance and automation. In: Proceedings of FISITA world automotive congress, Munich. Paper No F2008-02-045
Flemisch F, Schieben A, Schoemig N, Strauss M, Lueke S, Heyden A (2011) Design of human computer interfaces for highly automated vehicles in the EU-Project HAVEit. In: Proceedings of 6th international conference on universal access in human-computer interaction, Part III. Lecture Notes in Computer Science, vol 6767, pp 270–279
Gstalter H (1985) Workload and stress in driving. In: Ergonomics International 85: proceedings of the ninth congress of the international ergonomics association. Taylor & Francis, London, pp 994–996
Guignard JC, McCauley ME (1990) The accelerative stimulus for motion sickness. In: Crampton GH (ed) Motion and space sickness. CRC Press, Boca Raton
Hurts K, de Boer RJ (2015) Automation surprise looked at from a demands-resources perspective. In: Proceedings of the human factors and ergonomics society Europe chapter annual conference, pp 221–233
Johnson M, Bradshaw JM, Feltovick PJ, Jonker CM, van Riemsdijk B, Sierhuis M (2014) Coactive design: Designing support for interdependence in joint activity. J Hum Robot Interact 3(1):43–69
Klauer SG, Guo F, Sudweeks JD, Dingus TA (2010) An analysis of driver inattention using a case crossover approach on 100-car data. Report No DOT HS 811 334. National Highway Traffic Safety Administration, Washington DC
Klein G, Woods DD, Bradshaw JM, Hoffman RR, Feltovich PJ (2004) Ten challenges for making automation a “team player” in joint human-agent activity. IEEE Intell Syst 19(6):91–95
Kudritzki D (1999) Analysis of ride comfort considering driver assessment. In: Pauwelussen JP (ed) Vehicle performance: understanding human monitoring and assessment. Swets & Zeitlinger, Lisse, pp 196–217
Lee JD (1991) The dynamics of trust in a supervisory control simulation. In: Proceedings of the human factors and ergonomics society annual meeting, vol 35, no 17, pp 1228–1232
Lee J, See KA (2004) Trust in automation: designing for appropriate reliance. Hum Factors 46(1):50–80
Lee JD, Young KL, Regan MA (2008) Defining driver distraction. In: Regan MA, Lee JD, Young K (eds) Driver distraction: theory, effects and mitigation. CRC Press, Boca Raton, pp 32–40
Liang Y, Lee JD, Yekhshatyan L (2012) How dangerous is looking away from the road? Algorithms predict crash risk from glance patterns in naturalistic driving. Hum Factors 54:1104–1116
Malta L, Aust ML, Faber F, Metz B, Saint Pierre G, Benmimoun M, Schäfer R (2012) Final results: impacts on traffic safety. EuroFOT Deliverable D6.4. Ford Research Centre GmbH, Aachen
Mayer RC, Davis JH, Schoorman FD (1995) An integrative model of organizational trust. Acad Manag Rev 20(3):709–734
McKnight AJ, Adams BB (1970) Driver education task analysis. Volume I: Task descriptions. Human Resources Research Organization, Alexandria. Final Report, Contract No. FH 11-7336
Michon JA (1985) A critical view of driver behavior models: what do we know, what should we do? In: Evans L, Schwing RC (eds) Human behavior and traffic safety. Plenum Press, New York, pp 485–524
Miller D, Johns M, Mok B, Gowda N, Sirkin N, Lee K, Ju W (2016) Behavioral measurements of trust in automation: the trust fall. In: Proceedings of the Human factors and ergonomics society 2016 annual meeting, pp 1849–1853
Muir BM (1994) Trust in automation: part I. Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics 37(11):1905–1922
Muir BM, Moray N (1996) Trust in automation: part II. Experimental studies of trust and human intervention in a process control simulation. Ergonomics 39(3):429–460
NHTSA (2016) ODI Resume—Investigation EA 16-002. Office of Defects Investigation, National Highway Traffic Safety Administration, Washington DC. https://www-odi.nhtsa.dot.gov/acms/cs/jaxrs/download/doc/ucm528576/incla-ea16002-8352.pdf
Niittymaki J, Pursula M (1994) Simulation and dynamics of signal controlled junctions. Teknillinen Korkeakoulu, Liikennetekniikka, p 81
NTSB (2017) Human Performance Factors Group Chairman’s Supplemental Report: Driver Assistance Systems—Williston, FL, HWY16FH018. National Transportation Safety Board, Office of Highway Safety, Washington, D.C.
O’Hanlon JF, McCauley ME (1974) Motion sickness incidence as a function of the frequency and acceleration of vertical sinusoidal motion. Aerosp Med 45:366–369
Omae M, Hashimoto N, Sugamoto T, Shimizu H (2005) Measurement of driver’s reaction time to failure of steering controller during automatic driving. Rev Automot Eng 26:213–215
Rasmussen J (1983) Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans Syst Man Cybern 13(3):257–266
Rasmussen J (1987) Cognitive control and human error mechanisms. In: Rasmussen J, Duncan K, Leplat J (eds) New technology and human error. Wiley, Chichester, pp 53–61
Rasmussen J, Vicente KJ (1989) Coping with human errors through system design: implications for ecological interface design. Int J Man Mach Stud 31:517–534
SAE (2016) Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. J3016 SEPT2016. SAE International, Warrendale
Sarter NB, Woods DD (1997) Team play with a powerful and independent agent: operational experiences and automation surprises on the Airbus A-320. Hum Factors 39(4):553–569
Sarter NB, Woods DD, Billings CE (1997) Automation surprise. In: Salvendy G (ed) Handbook of human factors & ergonomics, second edition, 1926–1943. Wiley, New York
Schieben A, Flemisch F, Temme G, Köster F (2011) What happens when I push the accelerator pedal? Exploration and proposal for the design of driver-initiated transitions between different automation modes in a highly automated vehicle. In: Der Fahrer im 21. Jahrhundert. VDI Berichte, vol 2134, pp 1–21
Summala H (2007) Towards understanding motivational and emotional factors in driver behaviour: comfort through satisficing. In: Cacciabue PC (ed) Modelling driver behaviour in automotive environments. Springer, London, pp 189–207
Turner M, Griffin MJ (1999a) Motion sickness in public road transport: the relative importance of motion, vision and individual differences. Br J Psychol 90(4):519–530
Turner M, Griffin MJ (1999b) Motion sickness in public road transport: passenger behaviour and susceptibility. Ergonomics 42:444–461
Van der Horst ARA, Wilmink A (1986) Drivers’ decision-making at signalised intersections: an optimisation of the yellow timing. Traffic Eng Control 27(12):615–617
Verberne FMF, Ham J, Midden CJH (2015) Trusting a virtual driver that looks, acts, and thinks like you. Hum Factors 57(5):895–909
Vicente KJ, Rasmussen J (1992) Ecological interface design: theoretical foundations. IEEE Trans Syst Man Cybern 22(4):589–606
Wertheim AH, Hogema JH (1997) Thresholds, comfort and maximum acceptability of horizontal accelerations associated with car driving. TNO report TM-97-C003, Soesterberg, the Netherlands
White A (2009) From comfort zone to performance management: understanding development and performance. White & MacLean Publishing, Belgium
Woods DD, Johannesen LJ, Cook RI, Sarter NB (1994) Behind human error: cognitive systems, computers and hindsight. Crew Systems Ergonomic Information and Analysis Center, Wright Patterson Air Force Base, Dayton