The Development of Visualization Psychology Analysis Tools to Account for Trust
This work addresses the need for better trust metrics to foster adoption of smart systems and guide policymakers, but it appears incremental as it builds on existing concepts without presenting new results.
The paper tackles the problem of defining and measuring trust in autonomous technologies like AI and drones, proposing that developing Visualization Psychology tools could help create reliable indices for assessing public trust and informing policy decisions.
Defining trust is an important endeavor given its applicability to assessing public mood to much of the innovation in the newly formed autonomous industry, such as artificial intelligence (AI),medical bots, drones, autonomous vehicles, and smart factories [19].Through developing a reliable index or means to measure trust,this may have wide impact from fostering acceptance and adoption of smart systems to informing policy makers about the public atmosphere and willingness to adopt innovate change, and has been identified as an important indicator in a recent UK policy brief [8].In this paper, we reflect on the importance and potential impact of developing Visualization Psychology in the context of solving definitions and policy decision making problems for complex constructs such as "trust".