What is it about?
Build on prior work which empirically modelled trust in user-technology interactions and describe the development and evolution of a human-computer trust scale. We present the results of two studies (N=118 & N=183) which were undertaken to assess the reliability and validity of the proposed scale. Our study contributes to the literature by (a) developing a multi-dimensional scale to assess user trust in HCI and (b) being the first study to use the concept of design fiction and future scenarios to study trust.
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Why is it important?
The psychometric scale is important because it helps to measure how users perceive trust in technology derives from an extensive research-based observing users' trust from a Human-centric perspective. This instrument measures the amount of trust that a user is willing to place on such systems and eventually helps to understand further the potential socio-cultural bias effects in modeling trust in the technology.
Perspectives
This tool can ensure proper oversight of trust reassurance and mediation mechanisms to support users' engagement while making risky informed decisions. As well as can mitigate the trust gap among industry and researchers when designing trustworthy AI-enabling solutions. Our rationale is twofold to situate how users' engagement interconnects with their need for trust while making risky informed decisions and to provide a practical research lens to complement current high-level abstractions and conceptual views. The main contribution is to illustrate the effects of potential trust breakdowns and concerns when users engage with complex systems and avoid designing vulnerable interactions that lead to breaches of trust, both real and perceived.
Sónia Sousa
Tallinna Ulikool
Read the Original
This page is a summary of: Human-Computer Trust Scale, January 2019, American Psychological Association (APA),
DOI: 10.1037/t75524-000.
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