The overall goal of the workshop is to discuss open questions emerging from ongoing research with members of the
community and shape the framework of a comprehensive interface design for trust calibration. Input given by participants of the workshop will be collected and published on the workshop website. Additionally, we plan to summarize the output of each breakout group in a manifesto edited by the organizers, and gain visibility as well as collaborators for further publications (i.e., journal articles or book chapters), that aim to contribute to the following workshop goals.
These definitions are to be made with regard to different automation levels and human involvement in the dynamic driving task. These definitions serve as a clear basis to define not only trust in automated vehicle technology but also increases/decreases in trust, trust extremes (over- and undertrust), and calibrated trust.
These are to be made with regard to different modalities available in different driving situations (e.g., night vs. day conditions, quiet vs. noisy road environment) and with an assessment of how strongly they influence trust in a positive or negative way. Context-sensitive use of these cues shall ultimately enable trust calibration in different driving situations and contexts.
This goal aims to take different driving tasks, their cognitive and physical involvement, and total duration into account. In addition, proper timing of trust cues will depend on the human/driver state and appropriate reaction times.
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.
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 the workshop goals or interesting aspects in trust research. Submissions should be emailed to firstname.lastname@example.org on or before the submission deadline.
Submission Deadline: 01.09.2018
Notification of Acceptance: 05.09.2018
Camera ready version due: 12.09.2018