Digital addiction is becoming a prevalent societal concern and persuasive design techniques used in digital platforms might be accountable also for the development and maintenance of such problematic behavior. This paper theoretically analyses the relationship between persuasive system design principles and digital addiction in light of theories on behavioral and substance-based addictions. The findings suggest that some of the persuasive design principles, in specific contexts, may trigger and expedite digital addiction. The purpose of this paper is to open a discussion around the potential effects of persuasive technology on digital addiction and cater to this risk in the design processes and the persuasive design itself.
The increased adoption of collaborative Human-AI decision-making tools triggered a need to explain the recommendations for safe and effective collaboration. However, evidence from the recent literature showed that current implementation of AI explanations is failing to achieve adequate trust calibration. Such failure has lead decision-makers to either end-up with over-trust, e.g., people follow incorrect recommendations or under-trust, they reject a correct recommendation. In this paper, we explore how users interact with explanations and why trust calibration errors occur. We take clinical decision-support systems as a case study. Our empirical investigation is based on think-aloud protocol and observations, supported by scenarios and decision-making exercise utilizing a set of explainable recommendations interfaces. Our study involved 16 participants from medical domain who use clinical decision support systems frequently. Our findings showed that participants had two systematic errors while interacting with the explanations either by skipping them or misapplying them in their task.
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