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Hong-hoe Kim

Researcher at Texas A&M University

Publications -  7
Citations -  154

Hong-hoe Kim is an academic researcher from Texas A&M University. The author has contributed to research in topics: Fine motor skill & Sketch recognition. The author has an hindex of 6, co-authored 7 publications receiving 131 citations. Previous affiliations of Hong-hoe Kim include Samsung.

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Proceedings Article

Mechanix: a sketch-based tutoring system for statics courses

TL;DR: In this paper, a sketch-based deployed tutoring system for engineering students enrolled in statics courses is introduced, which allows students to enter planar truss and free body diagrams into the system just as they would with pencil and paper, but their system checks the student's work against a hand-drawn answer entered by the instructor, and then returns immediate and detailed feedback to the student.
Journal ArticleDOI

Mechanix: A Sketch-Based Tutoring and Grading System for Free-Body Diagrams

TL;DR: Mechanix is introduced, a sketch-based deployed tutoring system for engineering students enrolled in statics courses that facilitates the grading and feedback processes, and allows students to learn during a test, rather than simply displaying memorized information.
Proceedings ArticleDOI

KimCHI: a sketch-based developmental skill classifier to enhance pen-driven educational interfaces for children

TL;DR: This work introduces the proposed solution called KimCHI, a specialized sketch classification technique which utilizes a sketching interface for assessing the developmental skills of children from their sketches, and relies on sketch feature selection to automatically classify the developmental progress of children's sketches as either developmental or mature.
Journal ArticleDOI

Mechanix: A natural sketch interface tool for teaching truss analysis and free-body diagrams

TL;DR: The evaluations have shown that Mechanix is as effective as paper-and-pencil-based homework for teaching method of joints truss analysis; focus groups with students who used the program have revealed that they believe Mechanix enhances their learning and that they are highly engaged while using it.
Proceedings ArticleDOI

EasySketch2: a novel sketch-based interface for improving children's fine motor skills and school readiness

TL;DR: This paper introduces a novel sketch-based educational interface, which can classify children's fine motor skills more accurately than conventional methods by automatically classifyingfine motor skills through sketch recognition techniques.