MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641070808 A) filed by Shubhangi Vijay Bhale; Elizabeth Renju Koshy; and Umasankar Murugesan on June 06, 2026, for A System And Method For Sustainability Engagement Scoring Based On Recurrent Gaze Attention Analysis.
Inventors include Shubhangi Vijay Bhale; Elizabeth Renju Koshy; and Umasankar Murugesan.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention discloses a system and method for sustainability engagement scoring based on recurrent gaze attention analysis for objectively evaluating user engagement toward sustainability-related digital content, environmental awareness platforms, green product interfaces, educational systems, and socially responsible communication environments. The invention integrates eye-tracking technology, recurrent gaze behavior modelling, artificial intelligence, and adaptive behavioral analytics to generate quantitative sustainability engagement scores based on real-time visual attention characteristics. The proposed system comprises a gaze acquisition module configured to capture fixation coordinates, gaze trajectories, blink activity, pupil response, and attentional transition sequences during user interaction with sustainability-oriented digital interfaces. A pre-processing and normalization module remove noise, stabilizes gaze sequences, and maps visual attention to predefined sustainability-related regions of interest. A recurrent gaze attention analysis engine evaluates fixation recurrence, gaze revisit frequency, attentional persistence, and sequential visual behavior to identify deeper cognitive engagement patterns associated with sustainability-focused content. The invention further employs machine learning and artificial intelligence techniques for behavioral interpretation and engagement classification. An adaptive sustainability engagement scoring module computes quantitative engagement metrics using recurrent gaze features, attentional consistency, interaction persistence, and contextual relevance parameters. The generated engagement scores are visualized through dashboards, heatmaps, recurrence graphs, and analytical reports for sustainability assessment and decision-making purposes. The invention provides an intelligent, scalable, and real-time behavioral analytics framework capable of improving the reliability and objectivity of sustainability engagement evaluation when compared with conventional survey-based or clickstream-based assessment methods. The proposed framework supports applications in sustainability education, green marketing, environmental awareness systems, eco-commerce platforms, and intelligent behavioral research environments.
Disclaimer: Curated by HT Syndication.
