The difficulty of conducting research with human subjects often entails limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of … Continued
“… Based on the observations that (a) explanations can be misused to deceive certain groups of stakeholders (deliberately or unintentionally), and thus, (b) facilitating positive perceptions should not be an unconditional goal of providing explanations, I have introduced the desideratum of … Continued
“… The central assumption in this paper is that mastery of tasks within a well-defined level is a true or foundational measure of knowledge. We can chart mastery within levels and compare knowledge and growth across children on a common microscale. Children can either perform … Continued
Current literature and public discourse on “trust in AI” are often focused on the principles underlying trustworthy AI, with insufficient attention paid to how people develop trust. Given that AI systems differ in their level of trustworthiness, two open questions … Continued
The desirability bias refers to when people’s expectations about an uncertain event are biased by outcome preferences. Prior work has provided limited evidence that the magnitude of this motivated bias depends on (is moderated by) how expectations are solicited—as discrete … Continued
Trust is perhaps one of the most important constructs when trying to understand human interactions with systems. As such, there has been a considerable amount of research done on factors such as individual differences in trust, environmental factors affecting trust, … Continued
Interesting in terms of how it might apply to human-tech collaborations as well. >>> Abstract By collaborating with others, humans can pool their limited knowledge, skills, and resources to achieve goals that outstrip the abilities of any one person. What … Continued
Measurement in Psychology is a complicated process involving numerous theoretical and empirical steps. Ensuring our measures are operating the same way in different groups of people is a further step referred to as Measurement Invariance testing. Measurement Invariance occurs when … Continued
In this meta-ethnography, we explore three different angles of Ethical AI design and implementation in a top-down/bottom-up framework, including the philosophical ethical viewpoint, the technical perspective, and framing through a political lens. We will discuss the values and drawbacks of … Continued
Human-AI co-creativity involves both humans and AI collaborating on a shared creative product as partners. In a creative collaboration, interaction dynamics, such as turn-taking, contribution type, and communication, are the driving forces of the co-creative process. Therefore the interaction model … Continued