access icon free Getting drivers to do the right thing: a review of the potential for safely reducing energy consumption through design

Transport, particularly private vehicle use, contributes a disproportionately large amount to the degradation of the environment. Although advancements in energy production and vehicular technologies are critical for abatement, behaviour change will also have to be seen, hence the requirement for the application of Ergonomics. This review article aims to bring together various strands of research, including the effect of the design of a technological object on behaviour, the inter-related nature of goals and feedback in guiding performance, the effect on fuel economy of different driving styles and the various challenges brought by hybrid and electric vehicles, including range anxiety, workload and distraction, complexity and novelty. Finally, it is argued that Ecological Interface Design, in presenting the constraints of the system to the driver, is well suited to deal with the novelty of the low-carbon vehicle, supports the development of accurate mental-models of the system, and can be used for the design of in-vehicle interfaces that encourage energy-conserving driving behaviours while minimising distraction and workload, thus ensuring safety.

Inspec keywords: ergonomics; fuel economy; user interfaces; hybrid electric vehicles; design engineering; energy conservation; traffic engineering computing

Other keywords: range anxiety; low-carbon vehicle; system mental-models; design; fuel economy; environmental degradation; private vehicle use; workload; ergonomics; electric vehicles; safe energy consumption reduction; in-vehicle interface design; distraction; energy-conserving driving behaviours; hybrid vehicles; driving styles; novelty; complexity; ecological interface design; transportation; drivers; technological object design

Subjects: Ergonomic aspects of computing; General transportation (energy utilisation); User interfaces; Traffic engineering computing

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
    30. 30)
    31. 31)
    32. 32)
    33. 33)
    34. 34)
    35. 35)
    36. 36)
    37. 37)
    38. 38)
    39. 39)
    40. 40)
    41. 41)
    42. 42)
    43. 43)
    44. 44)
    45. 45)
    46. 46)
    47. 47)
      • 97. Pearre, N.S., Kempton, W., Guensler, R.L., Elango, V.V.: ‘Electric vehicles: how much range is required for a day's driving?’, Transp. Res. C Emerg. Technol., 2011, 19, (6), pp. 11711184 (doi: 10.1016/j.trc.2010.12.010).
    48. 48)
      • 120. Bartlett, F.C.: ‘Remembering: a study of experimental and social psychology’ (Cambridge University Press, Cambridge, 1932).
    49. 49)
      • 5. Department of Energy and Climate Change: ‘Digest of United Kingdom energy statistics’ (The Stationary Office, London, 2012).
    50. 50)
      • 29. Lockton, D., Harrison, D., Stanton, N.A.: ‘The design with intent method: a design tool for influencing user behaviour’, Appl. Ergon., 2010, 41, (3), pp. 38292 (doi: 10.1016/j.apergo.2009.09.001).
    51. 51)
      • 4. World Commission on Environment and Development: ‘Our common future’ (Oxford University Press, Oxford, 1987).
    52. 52)
      • 104. Reason, J.: ‘Human error’ (Cambridge University Press, New York, 1990).
    53. 53)
      • 41. McCalley, L., Midden, C.J.: ‘Energy conservation through product-integrated feedback: The roles of goal-setting and social orientation’, J. Econ. Psychol., 2002, 23, (5), pp. 589603 (doi: 10.1016/S0167-4870(02)00119-8).
    54. 54)
      • 52. Bingham, C., Walsh, C., Carroll, S.: ‘Impact of driving characteristics on electric vehicle energy consumption and range’, IET Intell. Transp. Syst., 2012, 6, (1), pp. 2935 (doi: 10.1049/iet-its.2010.0137).
    55. 55)
      • 88. Cocron, P., Bühler, F., Neumann, I., et al: ‘Methods of evaluating electric vehicles from a user's perspective – the MINI E field trial in Berlin’, IET Intell. Transp. Syst., 2011, 5, (2), pp. 127133 (doi: 10.1049/iet-its.2010.0126).
    56. 56)
      • 70. Stanton, N.A., Dunoyer, A., Leatherland, A.: ‘Detection of new in-path targets by drivers using stop & go adaptive cruise control’, Appl. Ergon., 2011, 42, (4), pp. 592601 (doi: 10.1016/j.apergo.2010.08.016).
    57. 57)
      • 44. Locke, E.A., Latham, G.P.: ‘Building a practically useful theory of goal setting and task motivation: A 35-year odyssey’, Am. Psychol., 2002, 57, (9), pp. 705717 (doi: 10.1037/0003-066X.57.9.705).
    58. 58)
      • 43. McCalley, L.T.: ‘From motivation and cognition theories to everyday applications and back again: The case of product-integrated information and feedback’, Energy Policy, 2006, 34, (2), pp. 129137 (doi: 10.1016/j.enpol.2004.08.024).
    59. 59)
      • 105. Liu, Q., Itoh, H., Yoshimura, K.: ‘On the design of in-vehicle advice system’. IEEE Int. Conf. Systems, Man, and Cybernetics, 2006, pp. 25112516.
    60. 60)
      • 58. Adell, E., Várhelyi, A., Alonso, M., Plaza, J.: ‘Developing human – machine interaction components for a driver assistance system for safe speed and safe distance’, IET Intell. Transp. Syst., 2008, 2, pp. 243258 (doi: 10.1049/iet-its:20070009).
    61. 61)
      • 118. Berkhout, P.H.G., Muskens, J.C., Velthuijsen, J.W.: ‘Defining the rebound effect’, Energy Policy, 2000, 28, pp. 425432 (doi: 10.1016/S0301-4215(00)00022-7).
    62. 62)
      • 91. Jenkins, D.P., Stanton, N.A., Salmon, P.M., Walker, G.H.: ‘Cognitive work analysis: coping with complexity’ (Ashgate Publishing Limited, Farnham, England, 2009).
    63. 63)
      • 20. Automotive Design: ‘60 s interview with J. Mays’, Automotive Design, 2010, 35, May.
    64. 64)
      • 36. Locke, E.A.: ‘The motivational effects of knowledge of results: knowledge or goal setting?’, J. Appl. Psychol., 1967, 51, pp. 324329 (doi: 10.1037/h0024771).
    65. 65)
      • 69. Corbett, A.T., Anderson, J.R.: ‘Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes’. in Jacko, J., Sears, A., Beaudouin-Lafon, M., Jacob, R. (eds): ‘Proceedings of ACM CHI 2001 Conference on Human Factors in Computing Systems’ (ACM Press, New York, 2001), pp. 245252.
    66. 66)
      • 109. Kaufmann, C., Risser, R., Geven, A., Sefelin, R., Tschelig, M.: ‘LIVES (LenkerInnenInteraktion mit VErkehrstelematischen Systemen) – driver interaction with transport-telematic systems’, IET Intell. Transp. Syst., 2008, 2, (4), pp. 294305 (doi: 10.1049/iet-its:20070017).
    67. 67)
      • 75. Haworth, N., Symmons, M.: ‘The relationship between fuel economy and safety outcomes’, 2001.
    68. 68)
      • 42. Kluger, A.N., DeNisi, A.: ‘The effects of feedback interventions on performance : A historical review, a meta-analysis, and a preliminary feedback intervention theory’, Psychol. Bull., 1996, 119, (2), pp. 254284 (doi: 10.1037/0033-2909.119.2.254).
    69. 69)
      • 27. Fogg, B.J.: ‘Persuasive technology: using computers to change what we think and do’ (ACM Press, New York, 2003).
    70. 70)
      • 45. Zachrisson, J., Boks, C.: ‘When to apply different design for sustainable behaviour strategies?’. Knowledge Collaboration and Learning for Sustainable Innovation, ERSCP-EMSU Conf., October 25–29, 2010.
    71. 71)
      • 78. Horberry, T., Anderson, J., a Regan, M., Triggs, T.J., Brown, J.: ‘Driver distraction: the effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance’, Accident Anal. Prevention, 2006, 38, (1), pp. 18591 (doi: 10.1016/j.aap.2005.09.007).
    72. 72)
      • 116. Stanton, N.A., Young, M.S.: ‘Driver behaviour with adaptive cruise control’, Ergonomics, 2005, 48, (10), pp. 1294313 (doi: 10.1080/00140130500252990).
    73. 73)
      • 50. van der Voort, M., Dougherty, M.S., van Maarseveen, M.: ‘A prototype fuel-efficiency support tool’, Transp. Res. C Emerg. Technol., 2001, 9, pp. 279296 (doi: 10.1016/S0968-090X(00)00038-3).
    74. 74)
      • 66. Pradhan, A.K., Divekar, G., Masserang, K., et al: ‘The effects of focused attention training on the duration of novice drivers’ glances inside the vehicle’, Ergonomics, 2011, 54, (10), pp. 91731 (doi: 10.1080/00140139.2011.607245).
    75. 75)
      • 12. Stern, N.: ‘Stern review: the economics of climate change. Summary of conclusions’, 2006.
    76. 76)
      • 85. Harvey, C., Stanton, N.A.: ‘Trade-off between context and objectivity in an analytic approach to the evaluation of in-vehicle interfaces’, IET Intell. Transp. Syst., 2012, 6, pp. 243258 (doi: 10.1049/iet-its.2011.0120).
    77. 77)
      • 34. Bilodeau, E.A., Bilodeau, I.M.: ‘Motor-skills learning’, Annu. Rev. Psychol., 1961, 12, pp. 243280 (doi: 10.1146/annurev.ps.12.020161.001331).
    78. 78)
      • 9. Damiani, S., Deregibus, E., Andreone, L.: ‘Driver-vehicle interfaces and interaction: where are they going?’, Eur. Transp. Res. Rev., 2009, 1, (2), pp. 8796 (doi: 10.1007/s12544-009-0009-2).
    79. 79)
      • 61. Jager, W.: ‘Breaking ‘bad habits’: a dynamical perspective on habit formation and change’, in Hendrickx, L., Jager, W., Steg, L. (eds): ‘Human Decision Making and Environmental Perception. Understanding and Assisting Human Decision Making in Real-life Settings’ (Universtiy of Groningen, Groningen, 2003).
    80. 80)
      • 107. Mendoza, P., Angelelli, A., Lindgren, A.: ‘Ecological interface design inspired human machine interface for advanced driver assistance systems’, IET Intell. Transp. Syst., 2011, 5, (1), pp. 53 (doi: 10.1049/iet-its.2009.0143).
    81. 81)
    82. 82)
    83. 83)
    84. 84)
    85. 85)
    86. 86)
    87. 87)
    88. 88)
    89. 89)
    90. 90)
    91. 91)
    92. 92)
    93. 93)
    94. 94)
    95. 95)
    96. 96)
    97. 97)
    98. 98)
      • 19. Thatcher, A.: ‘Green ergonomics: definition and scope’, Ergonomics, 2012, September, pp. 3741.
    99. 99)
      • 2. Intergovernmental Panel on Climate Change: ‘Climate Change 2007: Synthesis Report’, November, Cambridge University Press, Cambirdge, UK, 2007.
    100. 100)
      • 74. Hedges, P., Moss, D.: ‘Costing the effectiveness of training: case study 1- improving Parcelforce driver performance’, Ind. Comm. Train., 1996, 28, pp. 1418.
    101. 101)
      • 95. Olsson, G., Lee, P.L.: ‘Effective interfaces for process operators — a prototype’, J. Process. Control, 1994, 4, (2), pp. 99107 (doi: 10.1016/0959-1524(94)80028-6).
    102. 102)
      • 47. Holmén, B.A., Niemeier, D.A.: ‘Characterizing the effects of driver variabilty on real-world vehicle emissions’, Transp. Res. D Transp. Environ., 1998, 3, pp. 117128 (doi: 10.1016/S1361-9209(97)00032-1).
    103. 103)
      • 10. Stanton, N.A., McIlroy, R.C., Harvey, C., et al: ‘Following the cognitive work analysis train of thought: exploring the constraints of modal shift to rail transport’, Ergonomics, 2012, September, pp. 3741.
    104. 104)
      • 99. Krems, J., Franke, T., Neumann, I., Cocron, P.: ‘Research methods to assess the acceptance of EVs – experiences from an EV user study’. Smart Systems Integration: 4th European Conference & Exhibition on Integration Issues of Miniaturized Systems – MEMS, MOEMS, ICs and Electronic Components, 2010, March.
    105. 105)
      • 25. Landauer, T.K.: ‘Behavioural reserach methods in human-computer interaction’, in Helander, M., Landauer, T.K., Prabhu, P. (eds): ‘Handbook of Human-Computer Interaction’ (Elsevier Science, Oxford, 1997), pp. 203227.
    106. 106)
      • 71. Groeger, J.A.: ‘Understanding driving: applying cognitive psychology to a complex everyday task’ (Psychology Press, Hove, 2000).
    107. 107)
      • 98. Franke, T., Neumann, I., Bühler, F., Cocron, P., Krems, J.F.: ‘Experiencing range in an electric vehicle: understanding psychological barriers’, Appl. Psychol. Int. Rev., 2011, 61, (3), pp. 368391 (doi: 10.1111/j.1464-0597.2011.00474.x).
    108. 108)
      • 13. Stanton, N.A., Baber, C.: ‘Designing for consumers: editorial’, Appl. Ergon., 1998, 29, (1), pp. 13 (doi: 10.1016/S0003-6870(97)00019-7).
    109. 109)
      • 86. Mitsopoulos-Rubens, E., Trotter, M.J., Lenné, M.G.: ‘Usability evaluation as part of iterative design of an in-vehicle information system’, IET Intell. Transp. Syst., 2011, 5, (2), p. 112 (doi: 10.1049/iet-its.2010.0117).
    110. 110)
      • 3. International Energy Authority: ‘World energy outlook’ (OECD, Paris, 2012).
    111. 111)
      • 7. Commission for Integrated Transport: ‘Transport and climate change’, London, 2007.
    112. 112)
      • 8. King, J.: ‘The king review of low-carbon cars. Part I: the potential for CO2 reduction’, London, 2007.
    113. 113)
      • 82. Young, M.S., Birrell, S.A.: ‘Ecological IVIS design: Using EID to develop a novel in-vehicle information system’, Theor. Issues Ergon. Sci., 2012, 13, pp. 225239 (doi: 10.1080/1463922X.2010.505270).
    114. 114)
      • 59. Trommer, S., Höltl, A.: ‘Perceived usefulness of eco-driving assistance systems in Europe’, IET Intell. Transp. Syst., 2012, 6, (2), pp. 145152 (doi: 10.1049/iet-its.2011.0154).
    115. 115)
      • 38. Locke, E.A., Bryan, J.F.: ‘Goal setting as a determinant of the effect of knowledge of score on performance’, Am. J. Psychol., 1968, 81, pp. 398406 (doi: 10.2307/1420637).
    116. 116)
      • 79. Horberry, T., Stevens, A., Burnett, G., Cotter, S., Robbins, R.: ‘Assessing the visual demand from in-vehicle information systems by means of the occlusion technique: the effects of participant age’, IET Intell. Transp. Syst., 2008, 2, pp. 170177 (doi: 10.1049/iet-its:20070033).
    117. 117)
      • 114. Stoner, H.A., Wiese, E.E., Lee, J.D.: ‘Applying ecological interface design to the driving domain: the results of an abstraction hierarchy analysis’. Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting, 2003, vol. 47, (3), pp. 444448.
    118. 118)
      • 124. Piaget, J.: ‘The origins of intelligence in children’ (International University Press, New York, 1952).
    119. 119)
      • 102. Revell, K.M.A., Stanton, N.A.: ‘Models of models: filtering and bias rings in depiction of knowledge structures and their implications for design’, Ergonomics, 2012, 55, (9), pp. 107392 (doi: 10.1080/00140139.2012.692818).
    120. 120)
      • 30. Fishbein, M., Ajzen, I.: ‘Belief, attitude, intention and behaviour: an introduction to theory and research’ (Addison-Wesley, Reading, MA, 1975).
    121. 121)
      • 115. Stanton, N.A., Young, M.S.: ‘A proposed psychological model of driving automation’, Theoretical Issues in Ergonomics Science, 2000, 1, pp. 315331 (doi: 10.1080/14639220052399131).
    122. 122)
      • 54. Everett, A., Burgess, M., Harris, P.M., et al: ‘Initial findings from the ultra low carbon vehicle demonstrator programme: how quickly did users adapt?’, 2011.
    123. 123)
      • 46. Barkenbus, J.N.: ‘Eco-driving: an overlooked climate change initiative’, Energy Policy, 2010, 38, (2), pp. 762769 (doi: 10.1016/j.enpol.2009.10.021).
    124. 124)
      • 106. Seppelt, B.D., Lee, J.D.: ‘Making adaptive cruise control (ACC) limits visible’, Int. J. Human-Comput. Stud., 2007, 65, (3), pp. 192205 (doi: 10.1016/j.ijhcs.2006.10.001).
    125. 125)
      • 73. Ericsson, E.: ‘Independent driving pattern factors and their influence on fuel-use and exhaust emission factors’, Transp. Res. D Transp. Environ., 2001, 6, pp. 325345 (doi: 10.1016/S1361-9209(01)00003-7).
    126. 126)
      • 64. Walker, G.H., Stanton, N.A., Young, M.S.: ‘Where is computing driving cars?’, Int. J. Human-Comput. Interact., 2001, 13, pp. 203229 (doi: 10.1207/S15327590IJHC1302_7).
    127. 127)
      • 49. Walters, M.H.L., Laker, I.B.: ‘Research on fuel conservation for cars. Report No. 921’, Crowthorne, England, 1980.
    128. 128)
      • 84. Fastrez, P., Haué, J.-B.: ‘Designing and evaluating driver support systems with the user in mind’, Int. J. Human-Comput. Stud., 2008, 66, (3), pp. 125131 (doi: 10.1016/j.ijhcs.2008.01.001).
    129. 129)
      • 119. Stillwater, T.: ‘Comprehending consumption: The behavioural basis and implementation of driver feedback for reducing vehicle energy use’, Mar. 2011.
    130. 130)
      • 11. Garnaut, R.: ‘The Garnaut review 2011’ (Cambridge University Press, Cambridge, 2011).
    131. 131)
      • 117. Watson, M., Russell, W.J., Sanderson, P.: ‘Ecological interface design for anaesthesia monitoring’, Australain Journal of Information Systems, 2000, 7, (2), pp. 109114.
    132. 132)
      • 60. Stillwater, T., Kurani, K.S.: ‘Field test of energy feedback information: Driver responses and behavioural theory’, Transp. Res. Rec. J. Transp. Res. Board, 2011, 2252, pp. 715 (doi: 10.3141/2252-02).
    133. 133)
      • 89. Burns, C., Hajdukiewicz, J.: ‘Ecological interface design’ (CRC Press, Boca Raton, FL, 2004).
    134. 134)
      • 72. Young, M.S., Birrell, S.A., Stanton, N.A.: ‘Safe driving in a green world: a review of driver performance benchmarks and technologies to support ‘smart’ driving’, Appl. Ergon., 2011, 42, (4), pp. 5339 (doi: 10.1016/j.apergo.2010.08.012).
    135. 135)
      • 53. Kim, S., Dandekar, H., Camez, E., Harrelson, H.: ‘Assessing the effect of a power-flow gauge on driving behaviors affecting energy consumption’, in Jacko, J.A. (ed.): ‘Human-Computer Interaction, Part III, HCII 2011, LNCS 6763’ (Springer-Verlag, Berlin Heidelberg, 2011), pp. 411417.
    136. 136)
      • 40. Locke, E.A., Bryan, J.F.: ‘The directing function of goals in task performance’, Org. Behav. Human Perform., 1969, 4, pp. 3542 (doi: 10.1016/0030-5073(69)90030-0).
    137. 137)
      • 39. Locke, E.A., Bryan, J.F.: ‘Knowledge of score and goal level as determinants of work rate’, J. Appl. Psychol., 1969, 53, pp. 5965 (doi: 10.1037/h0026736).
    138. 138)
      • 68. Arroyo, E., Sullivan, C., Selker, T.: ‘CarCoach: a polite and effective driving coach’. Proc. CHI: Conf. Human Factors in Computing Systems, 2006, pp. 357362.
    139. 139)
      • 14. Lockton, D., Harrison, D., Stanton, N.A.: ‘Making the user more efficient: design for sustainable behaviour’, Int. J. Sustain. Eng., 2008, 1, (1), pp. 38 (doi: 10.1080/19397030802131068).
    140. 140)
      • 121. Stanton, N.A., Stammers, R.B.: ‘Bartlett and the future of ergonomics’, Ergonomics, 2008, 51, (1), pp. 113 (doi: 10.1080/00140130701801116).
    141. 141)
      • 111. Birrell, S.A., Young, M.S., Jenkins, D.P., Stanton, N.A.: ‘Cognitive work analysis for safe and efficient driving’, Theor. Issues Ergon. Sci., 2012, 13, pp. 430449 (doi: 10.1080/1463922X.2010.539285).
    142. 142)
      • 90. Vicente, K.J., Rasmussen, J.: ‘Ecological interface design: theoretical foundations’, IEEE Trans. Syst. Man Cybern., 1992, 22, pp. 589600 (doi: 10.1109/21.156574).
    143. 143)
      • 55. Fricke, N., Schießl, C.: ‘Encouraging environmentally friendly driving through driver assistance: The ecomove project’. Proc. Sixth International Driving Symp. Human Factors in Drvier Assessment, Training and Vehicle Design, 2010, pp. 394400.
    144. 144)
    145. 145)
      • 96. McIlroy, R.C., Stanton, N.A.: ‘Getting past first base: going all the way with cognitive work analysis’, Appl. Ergon., 2011, 42, (2), pp. 35870 (doi: 10.1016/j.apergo.2010.08.006).
    146. 146)
      • 21. Walker, G.H., Stanton, N.A., Young, M.S.: ‘Hierarchical task analysis of driving: a new research tool’, in Hanson, M.A. (ed.): ‘Contemporary Ergonomics – Proc. Annual Conf. of the Ergonomics Society, April 2001’ (Taylor and Francis, London, 2001), pp. 435440.
    147. 147)
      • 77. Harms, L., Patten, C.: ‘Peripheral detection as a measure of driver distraction. A study of memory-based versus system-based navigation in a built-up area’, Transp. Res. F Traffic Psychol. Behav., 2003, 6, (1), pp. 2336 (doi: 10.1016/S1369-8478(02)00044-X).
    148. 148)
      • 31. Ajzen, I.: ‘The theory of planned behavior’, Org. Behav. Human Decis. Process., 1991, 50, pp. 179211 (doi: 10.1016/0749-5978(91)90020-T).
    149. 149)
      • 108. Lindgren, A., Angelelli, A., Mendoza, P.A., Chen, F.: ‘Driver behaviour when using an integrated advisory warning display for advanced driver assistance systems’, IET Intell. Transp. Systs., 2009, 3, (4), pp. 390399 (doi: 10.1049/iet-its.2009.0015).
    150. 150)
      • 94. Gibson, J.J.: ‘The ecological approach to visual perception’ (Houghton Mifflin, Boston, MA, 1979).
    151. 151)
      • 22. Harvey, C., Stanton, N.A.: ‘Usability evaluation for in-vehicle systems’ (CRC Press, England, 2013).
    152. 152)
      • 83. Harvey, C., Stanton, N.A., Pickering, C.A., McDonald, M., Zheng, P.: ‘In-vehicle information systems to meet the needs of drivers’, Int. J. Human-Comput. Interact., 2011, 27, (6), pp. 505522 (doi: 10.1080/10447318.2011.555296).
    153. 153)
      • 48. Evans, L.: ‘Driver behaviour effects on fuel consumption in urban driving’, Human Factors, 1979, 21, pp. 389398.
    154. 154)
      • 100. Turrentine, T., Garas, D., Lentz, A., Woodjack, J.: ‘The UC davis MINI E consumer study’, 2011.
    155. 155)
      • 15. Organisation of Economic Cooperation and Development: ‘Cars and climate change’ (OECD, Paris, 1993).
    156. 156)
      • 87. Tango, F., Montanari, R.: ‘Shaping the drivers’ interaction: how the new vehicle systems match the technological requirements and the human needs’, Cognit. Technol. Work, 2006, 8, (3), pp. 215226 (doi: 10.1007/s10111-006-0038-8).
    157. 157)
      • 112. Jenkins, D.P., Stanton, N.A., Walker, G.H., Young, M.S.: ‘A new approach to designing lateral collision warning systems’, Int. J. Veh. Design, 2007, 45, pp. 379396 (doi: 10.1504/IJVD.2007.014911).
    158. 158)
      • 1. Reser, J.P., Pidgeon, N., Spence, A., Bradley, G., Glendon, A.I., Ellul, M.: ‘Public perceptions, understanding, and responses to climate change in Australia and Great Britain: Interim report’, 2011.
    159. 159)
      • 28. Lockton, D., Harrison, D., Stanton, N.A.: ‘Design with intent: persuasive technology in a wider context’, in Oinas-Kukkonen, H. (ed.): ‘Persuasive 2008, LNCS 5033’ (Springer-Verlag, Berlin Heidelberg, 2008), pp. 274278.
    160. 160)
      • 63. Edmunds.com: ‘Hypermiling: the quest for ultimate fuel economy’, 2009.
    161. 161)
      • 81. Reyes, M.L., Lee, J.D.: ‘Effects of cognitive load presence and duration on driver eye movements and event detection performance’, Transp. Res. F Traffic Psychol. Behav., 2008, 11, (6), pp. 391402 (doi: 10.1016/j.trf.2008.03.004).
    162. 162)
      • 65. Birrell, S.A., Young, M.S.: ‘The impact of smart driving aids on driving performance and driver distraction’, Transp. Res. F Traffic Psychol. Behav., 2011, 14, (6), pp. 484493 (doi: 10.1016/j.trf.2011.08.004).
    163. 163)
      • 92. Rasmussen, J., Pejtersen, A., Goodstein, L.P.: ‘Cognitive systems engineering’ (Wiley, New York, 1994).
    164. 164)
      • 76. Donmez, B., Boyle, L.N., Lee, J.D.: ‘Safety implications of providing real-time feedback to distracted drivers’, Accident Anal. Prevention, 2007, 39, (3), pp. 58190 (doi: 10.1016/j.aap.2006.10.003).
    165. 165)
      • 56. Larsson, H., Ericsson, E.: ‘The effects of an acceleration advisory tool in vehicles for reduced fuel consumption and emissions’, Transp. Res. D Transp. Environ., 2009, 14, (2), pp. 141146 (doi: 10.1016/j.trd.2008.11.004).
    166. 166)
      • 80. Lansdown, T.C., Brook-Carter, N., Kersloot, T.: ‘Distraction from multiple in-vehicle secondary tasks: vehicle performance and mental workload implications’, Ergonomics, 2004, 47, (1), pp. 91104 (doi: 10.1080/00140130310001629775).
    167. 167)
      • 6. Department of Energy and Climate Change: ‘Statistical release: 2011 UK grennhouse gas emissions, provisional figures and 2010 UK greenhouse gas emissions, final figures by fuel type and end-user’, London, 2012.
    168. 168)
      • 16. Hawkins, T.R., Singh, B., Majeau-Bettez, G., Strømman, A.H.: ‘Comparative environmental life cycle assessment of conventional and electric vehicles’, J. Ind. Ecol., 2012.
    169. 169)
      • 62. Wada, T., Yoshimura, K., Doi, S., Youhata, H., Tomiyama, K.: ‘Proposal of an eco-driving assist system adaptive to driver's skill’. 14th Int. IEEE Conf. Intelligent Transportation Systems, 2011, (1), pp. 18801885.
    170. 170)
      • 23. Kujala, T., Saariluoma, P.: ‘Effects of menu structure and touch screen scrolling style on the variability of glance durations during in-vehicle visual search tasks’, Ergonomics, 2011, 54, (8), pp. 71632 (doi: 10.1080/00140139.2011.592601).
    171. 171)
      • 51. Hooker, J.N.: ‘Optimal driving for single-vehicle fuel economy’, Transp. Res. A Policy Pract., 1988, 22, (3), pp. 183201.
    172. 172)
      • 26. Redström, J.: ‘Persuasive design: fringes and foundations’, in IJsselsteijn, W. (ed.): ‘Persuasive 2006, LNCS 3962’ (Springer-Verlag, Berlin Heidelberg, 2006), pp. 112122.
    173. 173)
      • 67. Wickens, C.D., Carswell, C.M.: ‘Information processing’, in Salvendy, G. (ed.): ‘Handbook of Human Factors and Ergonomics’ (John Wiley, New York, 1997, 2nd ed.), pp. 89129.
    174. 174)
      • 33. Ammons, R.B.: ‘Effects of knowledge of performance: a survey and tentative theoretical formulation’, J. Gen. Psychol., 1956, 50, pp. 279299 (doi: 10.1080/00221309.1956.9920284).
    175. 175)
      • 103. Norman, D.A., Lewis, C.: ‘Designing for error’, in Norman, D.A., Draper, S.W. (eds): ‘User-Centered System Design’ (Lawrence Erlbaum Associates, Mahwah, NJ, 1986).
    176. 176)
      • 123. Neisser, U.: ‘Cognition and reality’ (W.H. Freemand & Co., San Fransisco, 1976).
    177. 177)
      • 93. Vicente, K.: ‘Cognitive work analysis: towards safe, productive and healthy computer-based work’ (Lawrence Erlbaum Associates, Mahwah NJ, 1999).
    178. 178)
      • 18. Martin, K., Legg, S., Brown, C.: ‘Designing for sustainability: ergonomics – carpe diem’, Ergonomics, 2012, September, pp. 3741.
    179. 179)
      • 113. Lee, J.D., Hoffman, J.D., Stoner, H.A., Seppelt, B.D., Brown, M.D.: ‘Application of ecological interface design to driver support systems’. Proceedings of IEA 2006: 16th World Congress on Ergonomics, 2006.
    180. 180)
      • 57. Mulder, M., van Paassen, M.M., Abbink, D.A.: ‘Haptic gas pedal feedback’, Ergonomics, 2008, 51, (11), pp. 171020 (doi: 10.1080/00140130802331583).
    181. 181)
      • 35. Erez, M.: ‘Feedback: a necessary condition for the goal setting - performance relationship’, J. Appl. Psychol., 1977, 62, pp. 624627 (doi: 10.1037/0021-9010.62.5.624).
    182. 182)
      • 32. Abrahamse, W., Steg, L., Vlek, C., Rothengatter, T.: ‘A review of intervention studies aimed at household energy conservation’, J. Environ. Psychol., 2005, 25, (3), pp. 273291 (doi: 10.1016/j.jenvp.2005.08.002).
    183. 183)
      • 110. Lee, J.D., Stoner, H.A., Marshall, D.: ‘Enhancing interaction with the driving ecology through haptic interfaces’. IEEE Int. Conf. Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004, vol. 1, pp. 841846.
    184. 184)
      • 24. Harvey, C., Stanton, N.A., Pickering, C.A., McDonald, M., Zheng, P.: ‘A usability evaluation toolkit for In-Vehicle Information Systems (IVISs)’, Appl. Ergon., 2011, 42, (4), pp. 56374 (doi: 10.1016/j.apergo.2010.09.013).
    185. 185)
      • 122. Plant, K.L., Stanton, N.A.: ‘The explanatory power of schema theory: theoretical foundations and future applications in ergonomics’, Ergonomics, 2012, December, pp. 3741.
    186. 186)
      • 17. Flemming, S.A.C., Hilliard, A., Jamieson, G.A.: ‘The need for human factors in the sustainability domain’. Proc. Human Factors and Ergonomics Society 52nd Annual Meeting, 2008, pp. 748752.
    187. 187)
      • 37. Locke, E.A.: ‘Toward a theory of task motivation and incentives’, Org. Behav. Human Perform., 1968, 3, pp. 157189 (doi: 10.1016/0030-5073(68)90004-4).
    188. 188)
      • 101. Gentner, D., Stevens, A.L.: ‘Mental models’ (Houghton Mifflin, Boston, MA, 1983).
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