Interactive Region-of-Interest Discovery using Exploratory Feedback

TL;DR

IRIDEF is a geospatial data framework that uses user exploratory feedback to identify and highlight regions of interest, enhancing interactive analysis and decision-making support.

Contribution

The paper introduces IRIDEF, a novel framework that leverages exploratory user feedback for dynamic ROI discovery in geospatial data analysis.

Findings

IRIDEF effectively identifies regions of interest based on user feedback.

The framework highlights interesting and unseen POIs within each ROI.

IRIDEF improves user interaction efficiency and decision support.

Abstract

In this paper, we propose a geospatial data management framework called IRIDEF which captures and analyzes user's exploratory feedback for an enriched guidance mechanism in the context of interactive analysis. We discuss that exploratory feedback can be a proxy for decision-making feedback when the latter is scarce or unavailable. IRIDEF identifies regions of interest (ROIs) via exploratory feedback and highlights a few interesting and out-of-sight POIs in each ROI. These highlights enable the user to shape up his/her future interactions with the system. We detail the components of our proposed framework in the form of a data analysis pipeline and present the aspects of efficiency and effectiveness for each component. We also discuss evaluation plans and future directions for IRIDEF.