When People and Algorithms Meet - User-Reported Problems in Intelligent Everyday Applications

Explore a 21-minute conference talk that delves into user-reported problems with intelligent everyday applications. Analyze the findings from a study of 35,448 reviews of popular apps like Facebook, Netflix, and Google Maps, uncovering issues related to algorithmic decision-making. Learn about the sentiment analysis and topic modeling techniques used to identify key problem areas, including content, algorithm functionality, user choice, and feedback. Discover insights from a follow-up survey revealing users' coping and support strategies when facing these challenges. Gain valuable implications for designing user support in intelligent systems, with a focus on the importance of user control and output explanations. Understand how this research contributes to improving the interaction between people and algorithms in everyday applications.