Subjective and objective descriptions of driving scenes in support of driver-automation interactions
C.D.D. Cabrall (TU Delft - OLD Intelligent Vehicles & Cognitive Robotics)
R. Happee (TU Delft - OLD Intelligent Vehicles & Cognitive Robotics)
J.C.F. de Winter (TU Delft - Biomechatronics & Human-Machine Control)
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Abstract
Background: Recent advances in the growing domain of automated driving suggest the need for thoughtful design of human-computer interaction strategies. For example, human drivers can process scene variability on implicit levels, but automated systems require explicit rule-based judgments of similarity and difference. What level of abstraction an automation uses in its visual perception may mean the difference between effective human-automation communication, or “uncanny valley”-like conflicts leading to problems of automation disuse, misuse, or abuse. Purpose of study: In the present research, different quantifications (semantic coding vs. computer vision features) of driving scene-to-scene similarity and difference were compared against intuitive human judgments as a reference point for future human-automation interactions.