This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Perceptions of Two Unique Lane Centering Systems: An FOT Interview Analysis
ISSN: 0148-7191, e-ISSN: 2688-3627
To be published on April 14, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
The goal of this interview analysis was to explore and document the perceptions of two unique lane centering systems (S90’s Pilot Assist and CT6’s Super Cruise). Both systems offer a similar type of functionality (adaptive cruise control and lane centering), but have significantly different design philosophies and HMI (Human-Machine Interface) implementations. Twenty-four drivers drove one of the two vehicle models for a month as part of a field operational test (FOT) study. Upon vehicle return, drivers took part in a 60-minute semi-structured interview covering their perceptions of the vehicle’s various advanced driver-assistance systems (ADAS). Transcripts of the interviews were coded by two researchers, who tagged each statement with relevant system and perception code labels. For analysis, the perception codes were grouped into larger thematic bins of safety, comfort, driver attention, and system performance. Perceptions of adaptive cruise control (ACC) were similar across vehicles. Almost all participants mentioned benefits of comfort and safety associated with ACC use. Participants cited different benefits between the two vehicle’s implementations of lane centering. A majority of participants (75%) described comfort benefits associated with Super Cruise, while less than half (41%) cited comfort benefits associated with Pilot Assist. Only a few participants (25%) mentioned safety benefits associated with Super Cruise. Half (50%) of the participants mentioned safety benefits associated with Pilot Assist. Almost all participants cited fears of potential misuse of the system in which drivers might pay less attention to the driving task. Results suggest that drivers’ comprehension and expectation of these systems’ behavior are strongly influenced by their design philosophies, specifically in terms of the difference in hands-on versus hands-off-wheel implementation. The perceived role of the driver – as either a fallback driver or as an assisted driver - may be influenced by the design implementation.
- Steven Landry - Massachusetts Institute of Technology
- Bobbie Seppelt - Massachusetts Institute of Technology
- Luca Russo - Massachusetts Institute of Technology
- Bruce Mehler - Massachusetts Institute of Technology
- Linda Angell - Touchstone Evaluations Inc
- Pnina Gershon - Massachusetts Institute of Technology
- Bryan Reimer - Massachusetts Institute of Technology
CitationLandry, S., Seppelt, B., Russo, L., Mehler, B. et al., "Perceptions of Two Unique Lane Centering Systems: An FOT Interview Analysis," SAE Technical Paper 2020-01-0108, 2020.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
|[Unnamed Dataset 5]|
|[Unnamed Dataset 6]|
- Favarò, F.M., Nader, N., Eurich, S.O., Tripp, M., and Varadaraju, N. , “Examining Accident Reports Involving Autonomous Vehicles in California,” PLoS One 12(9):e0184952, 2017.
- Kyriakidis, M., de Winter, J.C.F., Stanton, N., Bellet, T., van Arem, B., Brookhuis, K., Martens, M.H. et al. “A Human Factors Perspective on Automated Driving,” Theoretical Issues in Ergonomics Science 20, 3 (2019): 223-249.
- Seppelt, B., Reimer, B., Russo, L., Mehler, B., Fisher, J., and Friedman, D. . “Towards a Human-Centric Taxonomy of Automation Types,” White Paper 2018 - MIT AgeLab, September 2018.
- Kyriakidis, M., de Winter, J., Stanton, N., Bellet, T. et al. , 2019, “A Human Factors Perspective on Automated Driving,” Theoretical Issues in Ergonomics Science, 10.1080/1463922X.2017.1293187.
- SAE Standard J3016 , “Taxonomy and Definitions for Terms Related to Driving Automation Systems for OnRoad Motor Vehicles,” 2016.
- Fridman, L., Brown, D.E., Glazer, M., Angell, W. et al. , “MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation,” IEEE Access 7: 102021-102038, 2019.
- Abraham, H., Reimer, B., and Mehler, B. , “Advanced Driver Assistance Systems (ADAS): A Consideration of Driver Perceptions on Training, Usage & Implementation,” in Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61, 1, 1954-1958, SAGE Publications, Los Angeles, CA, 2017.
- Beggiato, M. and Krems, J.F. , “The Evolution of Mental Model, Trust and Acceptance of Adaptive Cruise Control in Relation to Initial Information,” Transportation Research Part F: Traffic Psychology and Behaviour 18:47-57, 2013.
- Kolodge, K. and Boor, L. , “2019 Lateral Support Study - J.D. Power and MIT AVT,” White Paper 2019 - MIT AgeLab, August 2019.
- Consumer Reports , “Partially Automated Driving Systems - Insights from Consumer Reports,” Special Report, November 2018, https://data.consumerreports.org/autos/reliability/reports/partially-automated-driving-systems.pdf, accessed November 1, 2019.
- J.D., “Power Lateral Support Survey,” 2019 White Paper.
- Ritchie, J. and Spencer, L. , “Qualitative Data Analysis for Applied Policy Research,” Analyzing Qualitative Data (Routledge, 2002), 187-208.
- Abraham, H., Seppelt, B., Mehler, B., and Reimer, B. , “What’s in a Name: Vehicle Technology Branding & Consumer Expectations for Automation,” in Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 226-234, ACM, 2017.
- Mulder, M., and Abbink, D.A. , “Correct and Faulty Driver Support from Shared Haptic Control during Evasive Maneuvers,” in 2011 IEEE International Conference on Systems, Man, and Cybernetics, 1057-1062, IEEE, 2011.
- Sheridan, T.B. , “Function Allocation: Algorithm, Alchemy or Apostasy?” International Journal of Human-Computer Studies 52(2):203-216, 2000.
- Flemisch, F.O. et al. , “Towards Cooperative Guidance and Control of Highly Automated Vehicles: H-Mode and Conduct-by-Wire,” Ergonomics 57(3):343-360, 2014.
- Denton, T. , Automated Driving and Driver Assistance Systems (London: Routledge, 2020), https://doi.org/10.1201/9780429293856.