The Development of Visualization Psychology Analysis Tools to Account for Trust
Rita Borgo, Darren J Edwards

TL;DR
This paper discusses developing visualization psychology tools to better understand and measure trust in autonomous systems, aiming to influence policy and acceptance of innovative technologies.
Contribution
It introduces the concept of visualization psychology analysis tools specifically designed to quantify and analyze trust in complex autonomous systems.
Findings
Highlights the importance of trust measurement in autonomous industries
Proposes visualization psychology as a means to assess trust
Emphasizes policy implications of trust analysis
Abstract
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".
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Taxonomy
TopicsCognitive Science and Mapping · Human-Automation Interaction and Safety · Big Data and Business Intelligence
