Subjective and objective descriptions of driving scenes in support of driver-automation interactions

Subjective and objective descriptions of driving scenes in support of driver-automation interactions

Cabrall, C.D.D. (TU Delft OLD Intelligent Vehicles & Cognitive Robotics)
Happee, R. (TU Delft OLD Intelligent Vehicles & Cognitive Robotics)
de Winter, J.C.F. (TU Delft Biomechatronics & Human-Machine Control)

2016

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.

http://resolver.tudelft.nl/uuid:b584e2e6-a8e6-445e-bacf-d0538da42d5c

HFES 2016: Annual Meeting Human Factors and Ergonomics Society, 2016-10-26 → 2016-10-28, Prague, Czech Republic

Institutional Repository

poster

© 2016 C.D.D. Cabrall, R. Happee, J.C.F. de Winter