1 0 0 0 OA 3次元造形物体の感性評価における主要因子
- 著者
- 片平 建史 武藤 和仁 李 奈栄 飛谷 謙介 白岩 史 中島 加惠 長田 典子 岸野 文郎 山本 倫也 河崎 圭吾 荷方 邦夫 浅野 隆
- 出版者
- Japan Society of Kansei Engineering
- 雑誌
- 日本感性工学会論文誌 (ISSN:18845258)
- 巻号頁・発行日
- vol.15, no.4, pp.563-570, 2016 (Released:2016-08-31)
- 参考文献数
- 17
- 被引用文献数
- 2 2
In the present study, the subjective evaluation experiment for abstract 3D shapes was conducted as the first step of construction of a system that allows non-design-professional users to design 3D shapes via subjective evaluation words intuitively. In particular, the structure of the subjective evaluation for 3D shapes and the reliability of the evaluation by non-design-professionals were examined. The results showed three-factor solution in which “Uniformity,” “Activity” and “Potency” factors were important evaluative standards in the subjective evaluation for 3D shapes. These factors are similar to Osgood's three factors, which were frequently reported factors in previous semantic differential studies. Furthermore, the subjective evaluations by non-design-professionals were generally consistent, which means that, with respect to the subjective evaluation, non-design-professionals without high level of design skills can evaluate 3D shapes in a reliable way.
1 0 0 0 OA SD法を用いた感性の測定における評価の階層性
- 著者
- 片平 建史 武藤 和仁 橋本 翔 飛谷 謙介 長田 典子
- 出版者
- Japan Society of Kansei Engineering
- 雑誌
- 日本感性工学会論文誌 (ISSN:18845258)
- 巻号頁・発行日
- vol.17, no.4, pp.453-463, 2018 (Released:2018-08-31)
- 参考文献数
- 29
- 被引用文献数
- 1 6
In this study, by proposing a model with a hierarchical relationship, we reconsidered the methodology utilizing the semantic differential technique. The proposed approach divided the subjective evaluation into the evaluative aspect and descriptive aspect, and identified the former as the upper layer expressing the level of value and the latter as a lower layer expressing the level of semantics. The subjective evaluation data was obtained in evaluation experiments measuring the value and semantics for the three-dimensional objects. Based on the obtained data, the proposed model was examined to see whether it can reflect individual differences and the influences of evaluation contexts that have been conventionally been treated as errors. Results showed that the proposed model expressed the influence of context and individual differences and suggested the need for a hierarchical approach beyond the framework of the semantic differential method, such as the conventional EPA structure.