Abstract The use of a moderator has become ubiquitous when using focus groups for social science research. While a skilled moderator can facilitate discussion, we argue that moderators can potentially also hinder the generation of the types of group discussions … Continued
Trust is fundamental to effective visual data communication between the visualization designer and the reader. Although personal experience and preference influence readers’ trust in visualizations, visualization designers can leverage design techniques to create visualizations that evoke a “calibrated trust,” at … Continued
https://psyarxiv.com/ad7gw/ Decision-makers in diverse fields ranging from medicine to law to public policy depend on the clear and unbiased communication of probabilities. Expert judges often express probabilities verbally (e.g., unlikely) rather than numerically (e.g., 25% chance). Researchers have criticized the … Continued
https://arxiv.org/abs/2209.13578 Artificial intelligence (AI) systems are increasingly used for providing advice to facilitate human decision making. While a large body of work has explored how AI systems can be optimized to produce accurate and fair advice and how algorithmic advice … Continued
Explanations have been framed as an essential feature for better and fairer human-AI decision-making. In the context of fairness, this has not been appropriately studied, as prior works have mostly evaluated explanations based on their effects on people’s perceptions. We … Continued
https://psyarxiv.com/yahvf/ Abstract Many online content providers use “personalization” algorithms to generate recommendations that are individually fine-tuned for users’ interests. However, these algorithms have also been criticized because tailoring content to specific users necessarily restricts the diversity of content, leading to … Continued
Artificial Intelligence (AI) covers a broad spectrum of computational problems and use cases. Many of those implicate profound and sometimes intricate questions of how humans interact or should interact with AIs. Moreover, many users or future users do have abstract … Continued
https://psyarxiv.com/qhwvx/ Designing trustworthy algorithmic decision-making systems is a central goal in system design. Additionally, it is crucial that external parties can adequately assess the trustworthiness of systems. Ultimately, this should lead to calibrated trust: trustors adequately trust and distrust the … Continued
https://psyarxiv.com/qv3ya/ Abstract To understand how human experiences emerge, change and are interlinked requires understanding which conditions are necessary for thoughts, feelings and behaviors. Linear models which are currently the default for statistical analyses in psychological research do not allow to … Continued
https://psyarxiv.com/jymtu/ Abstract Psychological science moves towards specification of effect sizes in formulating hypotheses, performing power-analyses, and when consideration of the relevance of findings. This development has sparked an appreciation for the wider context in which such effect sizes are found, … Continued