TY  - CONF
TI  - Beyond Trust Building — Calibrating Trust in Visual Analytics
AU  - Han, Wenkai
AU  - Schulz, Hans-Jörg
T2  - 2020 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)
AB  - Trust is a fundamental factor in how users engage in interactions with Visual Analytics (VA) systems. While the importance of building trust to this end has been pointed out in research, the aspect that trust can also be misplaced is largely ignored in VA so far. This position paper addresses this aspect by putting trust calibration in focus – i.e., the process of aligning the user’s trust with the actual trustworthiness of the VA system. To this end, we present the trust continuum in the context of VA, dissect important trust issues in both VA systems and users, as well as discuss possible approaches that can build and calibrate trust.
C1  - Salt Lake City, UT, USA
C3  - Proc. of the 2020 IEEE Workshop on TRust and EXpertise in Visual Analytics (TREX)
DA  - 2020/10/25/
PY  - 2020
DO  - 10.1109/TREX51495.2020.00006
SP  - 9
EP  - 15
PB  - IEEE
SN  - 9781728185149
UR  - https://doi.org/10.1109/TREX51495.2020.00006
ER  -