Conference Proceeding

Considering Self-Report in the Interpretation of Objective Performance Data in the Comparison of HMI Systems

Authors
  • Bruce Mehler (MIT AgeLab & N.E. Univ. Transportation Center, Cambridge, MA)
  • Bryan Reimer (MIT AgeLab & N.E. Univ. Transportation Center, Cambridge, MA)
  • Chaiwoo Lee (MIT AgeLab & N.E. Univ. Transportation Center, Cambridge, MA)
  • David Kidd (Insurance Institute for Highway, Safety, Arlington, VA)
  • Ian Reagan (Insurance Institute for Highway, Safety, Arlington, VA)

Abstract

Driver interaction with two production voice-command interfaces representing differing user interface design approaches were compared under onroad highway driving conditions. A sample of 80 drivers was randomly assigned to drive each vehicle (40 per vehicle). During voice-based phone contact calling and destination address entry, participants in one vehicle showed, on average, statistically significant “better” performance in terms of task completion time, mean glance duration, total off-road glance time, and total number of glances. However, these objective measures do not fully characterize the overall experience of participants. An analysis of error rates and subjective report of attitudes, effects on driving behavior, and behavioral intentions relative to their exposure to the two systems provided important, complementary and sometimes contrasting data about the relative advantages of each implementation.

How to Cite:

Mehler, B. & Reimer, B. & Lee, C. & Kidd, D. & Reagan, I., (2017) “Considering Self-Report in the Interpretation of Objective Performance Data in the Comparison of HMI Systems”, Driving Assessment Conference 9(2017), 165-171. doi: https://doi.org/10.17077/drivingassessment.1630

Rights: Copyright © 2017 the author(s)

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Published on
28 Jun 2017
Peer Reviewed