Developing an integrated account of intentions and affordances for a model of visual attention

• Project/Area Number: 23K11169
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61010:Perceptual information processing-related
• Research Institution: Okayama University
• Principal Investigator: Yucel Zeynep 岡山大学, 環境生命自然科学学域, 准教授 (20586250)
• Project Period (FY): 2023-04-01 – 2026-03-31
• Project Status: Granted (Fiscal Year 2023)
• Budget Amount: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000); Fiscal Year 2025: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2024: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2023: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
• Keywords: gaze / saliency / perception / action / intention

Outline of Research at the Start

[1] After determining strategy of functional segmentation of tool objects according to affordances, we will generation of baseline saliency from tool images. [2] We will collect data from human subjects and and determine the distribution of the gaze bias for each functional segment. [3] We will apply spatial modulation on the baseline saliency computed at [1] by introducing attractors and repellers from the abovementioned models.