Omair Bhatti

Deutsches Forschungszentrum für Künstliche Intelligenz | DFKI · Interactive Machine Learning

Interactive Machine Learning (IML) systems incorporate humans into the learning process to enable iterative and continuous model improvements. The interactive process can be designed to leverage the expertise of domain experts with no background in machine learning, for instance, through repeated user feedback requests. However, excessive requests...

Eye movements were shown to be an effective source of implicit relevance feedback in information retrieval tasks. They can be used to, e.g., estimate the relevance of read documents and expand search queries using machine learning. In this paper, we present the Reading Model Assessment tool (ReMA), an interactive tool for assessing gaze-based relev...

Eye movements were shown to be an effective source of implicit relevance feedback in constrained search and decision-making tasks. Recent research suggests that gaze-based features, extracted from scanpaths over short news articles (g-REL), can reveal the perceived relevance of read text with respect to a previously shown trigger question. In this...