Skill Acquisition While Operating In-Vehicle Information Systems: Interface Design Determines the Level of Safety-Relevant Distractions

Objective: This study tested whether the ease of learning to use human—machine interfaces of in-vehicle information systems (IVIS) can be assessed at standstill. Background: Assessing the attentional demand of IVIS should include an evaluation of ease of learning, because the use of IVIS at low skill levels may create safety-relevant distractions. Method: Skill acquisition in operating IVIS was quantified by fitting the power law of practice to training data sets collected in a driving study and at standstill. Participants practiced manual destination entry with two route guidance systems differing in cognitive demand. In Experiment 1, a sample of middle-aged participants was trained while steering routes of varying driving demands. In Experiment 2, another sample of middle-aged participants was trained at standstill. Results: In Experiment 1, display glance times were less affected by driving demands than by total task times and decreased at slightly higher speed-up rates (0.02 higher on average) than task times collected at standstill in Experiment 2. The system interface that minimized cognitive demand was operated more quickly and was easier to learn. Its system delays increased static task times, which still predicted 58% of variance in display glance times compared with even 76% for the second system. Conclusion: The ease of learning to use an IVIS interface and the decrease in attentional demand with training can be assessed at standstill. Application: Fitting the power law of practice to static task times yields parameters that predict display glance times while driving, which makes it possible to compare interfaces with regard to ease of learning.

[1]  A. Inkeles,et al.  International Encyclopedia of the Social Sciences. , 1968 .

[2]  D. Gopher The skill of attention control: acquisition and execution of attention strategies , 1993 .

[3]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[4]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[5]  W. D. Gray,et al.  Transfer of Cognitive Skills , 1987 .

[6]  Michael J. Goodman,et al.  DRIVER DISTRACTION WITH WIRELESS TELECOMMUNICATIONS AND ROUTE GUIDANCE SYSTEMS , 2000 .

[7]  John D. Lee,et al.  Preface to the Special Section on Driver Distraction , 2004, Hum. Factors.

[8]  Susan G. Hill,et al.  Traditional and raw task load index (TLX) correlations: Are paired comparisons necessary? In A , 1989 .

[9]  Omer Tsimhoni,et al.  Address Entry While Driving: Speech Recognition Versus a Touch-Screen Keyboard , 2004, Hum. Factors.

[10]  Klaus Bengler,et al.  Evaluation of in-vehicle HMI using occlusion techniques: experimental results and practical implications. , 2004, Applied ergonomics.

[11]  Raghavan Srinivasan,et al.  Effect of Selected In-Vehicle Route Guidance Systems on Driver Reaction Times , 1997, Hum. Factors.

[12]  L. Tijerina Issues in the Evaluation of Driver Distraction Associated with In-Vehicle Information and Telecommunications Systems , 1999 .

[13]  Hilde Haider,et al.  Why aggregated learning follows the power law of practice when individual learning does not: comment on Rickard (1997, 1999), Delaney et al. (1998), and Palmeri (1999). , 2002, Journal of experimental psychology. Learning, memory, and cognition.

[14]  H. Pashler,et al.  Procedural learning. I, Locus of practice effects in speeded choice tasks , 1991 .

[15]  John R. Anderson,et al.  The Transfer of Cognitive Skill , 1989 .

[16]  R. Leach The learning curve , 1992 .

[17]  Linda Ng Boyle,et al.  Visual Attention in Driving: The Effects of Cognitive Load and Visual Disruption , 2007, Hum. Factors.

[18]  Christhard Gelau,et al.  The occlusion technique: a procedure to assess the HMI of in-vehicle information and communication systems. , 2004, Applied ergonomics.

[19]  G. Loftus Analysis, Interpretation, and Visual Presentation of Experimental Data , 2002 .

[20]  Thomas A. Dingus,et al.  Effects of Age, System Experience, and Navigation Technique on Driving with an Advanced Traveler Information System , 1997, Hum. Factors.

[21]  Steve Summerskill,et al.  Writing and Driving: An Assessment of Handwriting Recognition as a Means of Alphanumeric Data Entry in a Driving Context , 2005 .

[22]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[23]  M. A. Recarte,et al.  Mental workload while driving: effects on visual search, discrimination, and decision making. , 2003, Journal of experimental psychology. Applied.

[24]  W J Horrey,et al.  Examining cognitive interference and adaptive safety behaviours in tactical vehicle control , 2007, Ergonomics.

[25]  Timothy L. Brown,et al.  Speech-Based Interaction with In-Vehicle Computers: The Effect of Speech-Based E-Mail on Drivers' Attention to the Roadway , 2001, Hum. Factors.

[26]  Allen and Rosenbloom Paul S. Newell,et al.  Mechanisms of Skill Acquisition and the Law of Practice , 1993 .

[27]  David Shinar,et al.  Effects of practice, age, and task demands, on interference from a phone task while driving. , 2005, Accident; analysis and prevention.

[28]  Gary E. Burnett,et al.  On-the-move destination entry for vehicle navigation systems: Unsafe by any means? , 2004, Behav. Inf. Technol..

[29]  H. Pashler STEVENS' HANDBOOK OF EXPERIMENTAL PSYCHOLOGY , 2002 .

[30]  F. E. Ritter,et al.  Learning Curve, The , 2001 .

[31]  H. Pashler,et al.  Procedural Learning : 1 . Locus of Practice Effects in Speeded Choice Tasks , 1991 .

[32]  Lynne M. Coventry,et al.  Human Factors , 2010, Handbook of Financial Cryptography and Security.

[33]  D. Norman,et al.  Psychological Issues in Support of Multiple Activities , 1986 .

[34]  Stuart K. Card,et al.  Evaluation of mouse, rate-controlled isometric joystick, step keys, and text keys, for text selection on a CRT , 1987 .

[35]  Josef F. Krems,et al.  Destination entry while driving: The benefit of constrained options to act in multitask situations illustrated by two route guidance systems , 2003 .

[36]  L. D. Bainbridge,et al.  Developing skills with information technology , 1989 .

[37]  John R. Anderson Acquisition of cognitive skill. , 1982 .

[38]  Fokie Cnossen,et al.  Adaptive strategy changes as a function of task demands: a study of car drivers , 2004, Ergonomics.

[39]  Scott D. Brown,et al.  The power law repealed: The case for an exponential law of practice , 2000, Psychonomic bulletin & review.

[40]  Thomas J Triggs,et al.  Driver distraction: the effects of concurrent in-vehicle tasks, road environment complexity and age on driving performance. , 2006, Accident; analysis and prevention.

[41]  David H. Weir,et al.  An Experimental Study of Destination Entry with an Example Automobile Navigation System , 2001 .

[42]  Louis Tijerina,et al.  MODELLING THE RELATIONSHIP BETWEEN DRIVER IN-VEHICLE VISUAL DEMANS AND ACCIDENT OCCURRENCE , 1998 .

[43]  Paul Green VISUAL AND TASK DEMANDS OF DRIVER INFORMATION SYSTEMS , 1999 .

[44]  Frank J. Lee,et al.  Does Learning a Complex Task Have to Be Complex?: A Study in Learning Decomposition , 2001, Cognitive Psychology.

[45]  Georg Jahn,et al.  Peripheral detection as a workload measure in driving: Effects of traffic complexity and route guidance system use in a driving study , 2005 .

[46]  Y Utsui,et al.  NAVIGATION SYSTEM DESTINATION ENTRY: THE EFFECTS OF DRIVER WORKLOAD AND INPUT DEVICES, AND IMPLICATIONS FOR SAE RECOMMENDED PRACTICE , 2000 .