Ontology-Based Feature Modeling and Combination for Kansei Engineering

Qiu, Qian; Cai, Hongming; Jiang, Lihong; Omura, Kengo

doi:10.1109/u-media.2014.50

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…In the process of artificial intelligence design, typical results of applied ontology include AIM@SHAPE project in 3D modeling and ShapeAnnotator system based on semantic annotation to describe 3D shape features. Then, a structure of perceptual information is constructed to improve the consistency, sharing, and reuse of perceptual information, thereby providing emotional data support for artificial intelligence design . Driven by the era of big data, ontology is introduced into the network information retrieval system to construct an ontology database of user preferences that can complete the intelligent screening of user's interests .…”

Section: Theoretical Backgroundsmentioning

confidence: 99%

“…Then, a structure of perceptual information is constructed to improve the consistency, sharing, and reuse of perceptual information, thereby providing emotional data support for artificial intelligence design. 31 Driven by the era of big data, ontology is introduced into the network information retrieval system to construct an ontology database of user preferences that can complete the intelligent screening of user's interests. 32 In order to improve product quality and shorten the development cycle in the field of product design effectively, the design process ontology hierarchy model and design process ontology were proposed by Shi in 2014.…”

Section: Ontologymentioning

confidence: 99%

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Color image knowledge model construction based on ontology

Zhang

Yang

2019

Color Research & Application

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Color, as one of the most important visual features in a product system, can easily cause psychological and emotional resonances. Depending on the importance of user's emotional needs in the market and the complexity of a mining process, it can be reflected in the adjective description of color image. In this study, ontology combined with big data was used to mine the color image, a visual sense of user's psychological requirements. The results showed that the constructed color image ontology model could logically express the conceptual knowledge of color image. And this method solved problems that exist in current research on image mining and at the same time increased the accuracy of image information mining. Further examination of the color brand images was used to obtain the idea of “Stylish” and “Natural.” Finally, the acquisition of their physical form was named and surveyed to prove the feasibility of the research approach. This is a new attempt to apply ontology to the color image cognition process.

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Section: Theoretical Backgroundsmentioning

confidence: 99%

Section: Ontologymentioning

confidence: 99%

Color image knowledge model construction based on ontology

Zhang

Yang

2019

Color Research & Application

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“…Considering that the statistical data in kansei database is lack of an extensible structure, an ontology-based feature model was proposed to realize formalizing, sharing and reusing of affective information. As a preliminary work, the study in [10] proposed a general ontology model for kansei database which distinguished design features into independent-dependent concept clusters and chief-minor concept clusters.…”

Section: Related Workmentioning

confidence: 99%

“…In the Establishment of Design System part, the domain ontology model is built based on the method in [10]. Since the outcome got from pure combination of design elements can't obtain high design quality, a variety of combinational rules based on some professional design knowledge should be made and integrated into the design engine.…”

Section: Research Frameworkmentioning

confidence: 99%

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Developing a Document Creating System for Affective Design: A Case Study in Card Design

Qiu

Omura

2016

IJAE

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In recent years, affective design is found to have great application values in document design that help reduce the load of design works and improve the satisfaction of consumers. However, most research results of affective design are merely used as design guidebooks. A mass of design features make ordinary people confused and incapable to achieve a high quality design scheme. In this paper, an approach is proposed to establish an affective design system that can create a design scheme automatically by a feature combination engine. As a branch of document design, card design is acted as first trial application. In this study, a kansei evaluation experiment was executed and the experiment data was analyzed by factor analysis and quantification theory type I. We also built an ontology-based domain model and established an automatic design system for name card. Moreover, the quality of system output was verified by evaluation experiments.

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Application of evolutionary algorithms in interaction design: From requirements and ontology to optimized web interface

Bakaev

Gaedke

2016

2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

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Ontology-Based Feature Modeling and Combination for Kansei Engineering

Cited by 3 publications

References 11 publications

Color image knowledge model construction based on ontology

Color image knowledge model construction based on ontology

Developing a Document Creating System for Affective Design: A Case Study in Card Design

Application of evolutionary algorithms in interaction design: From requirements and ontology to optimized web interface

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