Author Archives: Ryan Watkins

In this work, we empirically examine human-AI decision-making in the presence of explanations based on estimated outcomes. This type of explanation provides a human decision-maker with expected consequences for each decision alternative at inference time – where the estimated outcomes … Continued

Human-centered AI considers human experiences with AI performance. While abundant research has been helping AI achieve superhuman performance either by fully automatic or weak supervision learning, fewer endeavors are experimenting with how AI can tailor to humans’ preferred skill level … Continued

With the rise of emotional AI, citizens are increasingly subjected to the practice of non-conscious emotional data harvesting, i.e., the opaque ways in which their emotions are analyzed, categorized, and responded to by algorithm. The facts that nowadays, AI technologies … Continued

… Because of the digital revolution, our lives are being transformed by three grand bargains. The intellectual bargain: we have more knowledge but less capacity to concentrate and focus. The social bargain: we are much more available but much less … Continued

Communicators often hedge. Salespeople say that a product is probably the best, recommendation engines suggest movies they think you’ll like, and consumers say restaurants might have good service. But how does hedging impact persuasion? We suggest that different types of … Continued

In two studies, we evaluated the trust and usefulness of automated compared to manual parking using an experimental paradigm and by surveying owners of vehicles with automated parking features. In Study 1, we compared participants’ ability to manually park a … Continued

https://osf.io/asnv4/ AI-Mediated Communication (AI-MC) occurs when an AI system operates on behalf of an individual in communication between people. Building on literature in psychology and human-machine communication, the following three studies answered two overarching questions: 1) how do people perceive … Continued

In many real world contexts, successful human-AI collaboration requires humans to productively integrate complementary sources of information into AI-informed decisions. However, in practice human decision-makers often lack understanding of what information an AI model has access to in relation to themselves. … Continued

Human decision-making is plagued by many systematic errors. Many of these errors can be avoided by providing decision aids that guide decision-makers to attend to the important information and integrate it according to a rational decision strategy. Designing such decision … Continued