Mining affective words to capture customer’s affective response to apparel products

Abstract

Contemporary apparel design practice is such that the functional and ergonomic aspects can be readily rationalized and thus computerized, but this is not true for the aspects of affect or emotion. Design for emotion or affect remains an ad hoc exercise. In the apparel industry, affects or emotions of both wearers and audiences are very important. This paper presents a work with an overall objective to rationalize the affective property of apparel. To achieve this overall objective, the first step is to have a language (a set of words in this case) to describe the customer’s need in the affective attribute or property of apparel into a technical specification. In the work reported in this paper, this language (simply, a set of words) has been developed by the application of a proposed data mining procedure with a proprietary tool. A preliminary experiment was performed to validate this language – how to accurately capture the voice of customer in the aspect of affects in this case. There are two contributions out of this work: (1) finding a set of words that describe the affective property of apparel to capture the voice of customer in the aspect of affect, which is a foundation for the computer-based affective design of apparel; and (2) formulation of a new data mining process for searching affective words from the internet, which has a generalized implication to affective design in other domains of products, such as furniture.

Maximizing performance of apparel manufacturing industry through CAD adoption

“…Data communication problem due to using the Internet as a communication channel may also exist. 35,36…”

“…CAD technology is also being utilized now a days to rationalize the affective property and design for apparel, as in in the apparel industry, emotions or effects of both wearers and audiences are very important, Y Zhao, Song et al (2017). 36 Now a days a potential enrichment of integrated CAD/CAM technologies support in the areas of integrated design and operation management system of garment industry and facilitate in designing the models and collections, patterns, marking, laying out and cutting in production of garments, further, the integrated approach to design and production and other life cycle activities will be studied in the future according to the work, Zhang et al, 37 which further integrates the cloud computing and big data technique, Breivold 38 and operates in the context of a holistic supply chain network system, Wang JW et al 39…”

An assessment of aesthetics and comfort for women’s apparel products in terms of pattern design parameters

“…The test bed included two systems: (1) pants' production in terms of pants' pattern and (2) survey. The first system provided pants' images for constructing the survey in (2), and these images also offered raw data for image analysis in assessing pants' aesthetics, which contributed to the mapping development. The surveys were used to link pattern design parameters to degree of aesthetics and degree of comfort.…”

“…1 Function, such as covering the body and keeping warm, has been initially considered since apparel design started, as well as the address of assessing the function of apparel. 2 Nowadays, aesthetics and comfort have been given significant amount of considerations during apparel design, as the sense of aesthetics and comfort of apparel become important factors to influence consuming behavior. 3 However, the absence of a proper assessment for aesthetics and comfort of apparel becomes an obstacle for understanding consuming behavior, and thus, launching apparel to meet customer's requirements in the aspect of aesthetics and comfort is still up in the air.…”

Evolving temporal association rules in recommender system

“…For example, a study [35] of the development of vocabulary for capturing a customer's affective experiences to apparel under design has been proposed. Generic words for affect or emotion can be extracted using effective data mining process.…”