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Found 7 papers, 5 papers with code
Characterizing Information Seeking Processes with Multiple Physiological Signals
Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys.
Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world.
Designing and Evaluating Presentation Strategies for Fact-Checked Content
We address this research gap by exploring the critical design elements in fact-checking reports and investigating whether credibility and presentation-based design improvements can enhance users' ability to interpret the report accurately.
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Physiological signals can potentially be applied as objective measures to understand the behavior and engagement of users interacting with information access systems.
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations
Explainable artificial intelligence techniques are developed at breakneck speed, but suitable evaluation approaches lag behind.
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images
Contactless and efficient systems are implemented rapidly to advocate preventive methods in the fight against the COVID-19 pandemic.
CrowdCog: A Cognitive Skill based System for Heterogeneous Task Assignment and Recommendation in Crowdsourcing
While crowd workers typically complete a variety of tasks in crowdsourcing platforms, there is no widely accepted method to successfully match workers to different types of tasks.
