Analysis of Motor Learning and Depth Perception through Tangram Gameplay: An HCI Perspective

Abstract

This study investigates the Tangram puzzle game as a frame work for examining depth perception and motor learning within the field of Human-Computer Interaction (HCI). Tangram, a traditional puzzle made up of geometric shapes, provides an engaging and adaptable platform to explore how interactive tasks foster cognitive and motor development. The research focuses on three objectives: first, to assess depth perception by analyzing how players manipulate two-dimensional (2D) shapes to construct perceptual representations of three dimensional (3D) structures, thereby enhancing spatial cognition; second, to demonstrate the suitability of Tangram as a lightweight and flexible experimental tool for systematically measuring user interaction; and third, to examine motor learning processes through the repeated manipulation of puzzle pieces, offering insights into the refinement of fine motor skills and hand–eye coordination. By embedding Tangram gameplay into a structured experimental design, this work contributes to HCI scholarship by highlighting the value of puzzle-based interaction in understanding cognitive processes, informing interface design, and advancing interactive systems that support learning, rehabilitation, and skill development.