Recent research has demonstrated that cognitive biases such as the confirmation bias or the
anchoring effect can negatively affect the quality of crowdsourced data. In practice, however …

With artificial intelligence systems increasingly applied in consequential domains,
researchers have begun to ask how AI systems ought to act in ethically charged situations …

Rank aggregation is widely used in group decision making and many other applications,
where it is of interest to consolidate heterogeneous ordered lists. Oftentimes, these rankings …

This work introduces a multimodal data aggregation methodology featuring optimization
models and algorithms for jointly aggregating heterogeneous ordinal and cardinal …

This work investigates how different forms of input elicitation obtained from crowdsourcing
can be utilized to improve the quality of inferred labels for image classification tasks, where …

In image quality assessment, a collective visual quality score for an image or video is
obtained from the individual ratings of many subjects. One commonly used format for these …

We present a wisdom of crowds study where participants are asked to order a small set of
images based on the number of dots they contain and then to guess the respective number …

This study investigates how different forms of input elicitation obtained from crowdsourcing
can be utilized to improve the quality of inferred labels for image classification tasks, where …

The stock market is affected by a seemingly infinite number of factors, making it highly
uncertain yet impactful. A large determinant of stock performance is public sentiment, which …

With the recent development of artificial intelligence (AI), hybrid human-AI teams have
gained more attention and have been employed to solve all kinds of problems. However …