Workshop Goal

This workshop intends to address contemporary issues surrounding trust in technology in the challenging and constantly changing context of automated vehicles. In particular, this workshop focuses on two main aspects: (1) appropriate definitions of trust and associated concepts for the automated driving context, especially regarding trust calibration in individual capabilities versus overall trust; (2) appropriate measures (qualitative and quantitative) to quantify trust in automated vehicles and in-vehicle interfaces. The workshop proceeds on the basis of a keynote and accepted position papers by participants as a basis for the focused breakout sessions. The outcome of the workshop will become the basis for a subsequent joint publication of organizers and participants discussing the issues (1) and (2).

 

Topics of Interest: Determining definitions and measures of trust in automated vehicles

Following the keynote and position paper presentations, the breakout sessions will focus on: (1) creating an appropriate definition of trust and associated concepts for the automated driving context, especially regarding trust calibration in individual capabilities versus overall trust; and (2) determining appropriate measures (qualitative and quantitative) to quantify trust in automated vehicles and in-vehicle interfaces, especially the dynamic measurements of trust.

 

We welcome position papers from both academia and industry to begin building a rigorous and robust research framework for understanding trust in the transition to automated  vehicles and systems.

 

Submission guidelines

Submissions for the workshop should adhere to the CHI extended abstracts (EA) format. Position papers may be 1-4 pages long, excluding references. Papers should address either goal 1 (defining trust within the automated vehicle context) or goal 2 (determining appropriate measures of trust for automated vehicles). Submissions should be emailed to autoui17trust@hci.sbg.ac.at on or before the submission deadline.

 

Important Dates

Submission Deadline: 20.08.2017 

Notification of Acceptance: 25.08.2017

Camera ready version due: 08.09.2017