• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.73-77
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• 2013

Affective quality is considered one of the most influential factors for the competitive power of consumer products. Since the human affective response is very abstract and comprehensive, it is very difficult to understand and manipulate the Affective Quality in scientific method. This study suggested the three-level hierarchical structure of the human affection according to the human affective response process, and subdivided the Affective Quality into three subordinate concepts such as 'Organoleptic Quality', 'Affective Quality Factor' and 'Overall Affective Quality.' Also the categories of adjectives which used to express the human affections for the three levels of affective structure were suggested. The results of this study could be used as a frame of systematic approach method to the Affective Quality.

• Journal of the Ergonomics Society of Korea
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• v.33 no.6
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• pp.515-532
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• 2014

Objective: The purpose of this study is to define consumers' affection on the interior design of commercial cars in terms of its design factors: color, embossing and gloss as independent factors. Background: Existing affective studies related to interior of vehicle focus on just sedans. However, there is no affective study about the interior of commercial cars. In addition, it is hard to change levels to which manufactures want. Method: Representative design factors were drawn using ANOVA and SNK analysis and definitive affective vocabularies were drawn using factor analysis. Furthermore, the results of 3D experiment were analyzed using ANOVA and LSD analysis. 3D images for the experiment were made using 3D max program. The experiment revealed that consumers discerned the differences in levels of each design factor and affective vocabulary. Results: The ANOVA revealed that beige color "A" type and non-gloss were the most preferred design in terms of the affective vocabularies and total preference. Conclusion: The result of the experiment may help manufactures to design the interior of commercial cars in the near future. Furthermore, the ANOVA result of affective vocabularies evaluation is expected to suggest a meaningful guideline. Application: The study results may be utilized as a guideline for interior design of commercial cars.

• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.631-637
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• 2010

The aim of affective engineering is to develop a new product by translating customer affections into design factors. Affective data have so far been analyzed using a multivariate statistical analysis, but the affective data do not always have linear features assumed under normal distribution. Rough sets model is an effective method for knowledge discovery under uncertainty, imprecision and fuzziness. Rough sets model is to deal with any type of data regardless of their linearity characteristics. Therefore, this study utilizes rough sets model to extract affective knowledge from affective data. Four types of scent alternatives and four types of sounds were designed and the experiment was performed to look into affective differences in subject's preference on air conditioner. Finally, the purpose of this study also is to extract knowledge from affective data using rough sets model and to figure out the relationships between rough sets based affective engineering method and statistical one. The result of a case study shows that the proposed approach can effectively extract affective knowledge from affective data and is able to discover the relationships between customer affections and design factors. This study also shows similar results between rough sets model and statistical method, but it can be made more valuable by comparing fuzzy theory, neural network and multivariate statistical methods.

• Journal of the Ergonomics Society of Korea
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• v.31 no.6
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• pp.793-800
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• 2012

Objective: This study investigated the problems that could be faced with when engineers try to improve the affective quality using the DMAIC model. Background: Affective quality is considered one of the most influential factors for the competitive power of consumer products and many engineers make effort to improve the affective quality. Since the Six Sigma process is effective and wide-used method for quality improvement, it can also be used to improve the affective quality. However six sigma tools cannot be directly used for affective quality because of the subjective and qualitative characteristics of the human affection. Method: Investigate the goals, processes and key factors of DMAIC model and find the difficulties to use six sigma tools for the affective quality. Results: Most of the problems arise from measuring and quantifying the human affective response level and understanding the relationship between the human affective factors. Conclusion: Both the protocol for measuring human affection and the monitoring system to find the affective response change for the product or service are required. Application: The results of this study could be helpful for the engineers not specialized in ergonomics to improve the affective quality in systematic approach.

• Journal of the Ergonomics Society of Korea
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• v.29 no.2
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• pp.217-224
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• 2010

Research has been conducted to examine the effects of mechanical and sound characteristics of fabrics on affective quality. The present study developed the Affective Quality Evaluation and Estimation System for Textiles (AQEEST) with distinguished features that can be effectively used in the affective research of fabric frictional sound. The AQEEST consists of three subsystems (affective quality evaluation, affective quality estimation, and audible distance estimation subsystems) and each subsystem consists of three to four modules (e.g., evaluation condition setup, evaluation experimentation, and textile database management modules) depending on its functional requirements. The affective quality evaluation subsystem was designed to help administer an experiment in a systematic manner and present acoustic and visual stimuli simultaneously in various gait conditions (walking, jogging, and running) to mimic a more realistic situation of textile frictional sound production. Next, the affective quality estimation subsystem was designed to estimate the sound characteristics, affective qualities, overall psychological satisfaction, and reference cluster of a textile using its mechanical and/or sound characteristic information. Lastly, the audible distance estimation subsystem was designed to estimate the just noticeable sound pressure levels and audible distances of a textile for various gait conditions using its mechanical characteristic information. The AQEEST can be upgraded by accommodating more affective quality study results for various textiles.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.897-906
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• 2016

Purpose: The purpose of this study was to propose the useful method to improve service affective quality by analyzing customer's service experiences and evaluating the satisfaction of the affective sensual responses to physical stimulus. Methods: While customers were experiencing the service, the customers evaluated the subjective satisfaction for the visual, auditory, tactile, olfactory and gustatory senses on a scale of -3 to 3 at each stage of the service process. The customers described the positive and negative feelings about each sensory stimulus, and explained the reason for the subjective evaluation scores. After experiencing the whole service, customers evaluated the affective quality of the whole service. Results: The proposed method was applied to coffee shops. 35 male and female college students were evaluated for 15 coffee shops in Korea. Multiple regression analysis revealed that auditory and olfactory senses had a greater impact on service affective satisfaction than other senses. Conclusion: This method is useful to identify the factors that affect customer's affective quality and to find the target to improve physical environment more easily than existing methods.

• Journal of Biomedical Engineering Research
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• v.30 no.4
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• pp.288-293
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• 2009

This study investigates the relationship of affective style based on EEG asymmetry, personality, and psychological stress on stress. The experiment consists of three sessions: rest state, landscape scene, and horror film tasks. We used a short horror film to evoke stress. We classified affective style of the individual based on EEG alpha asymmetry: negative bias, positive bias and general. The participants in the negative bias group reported higher levels of stress on the neuroticism of the Big 5 model and Cohen's Perceived Stress Scale. These results demonstrate that participants with the propensity for negative affective style have a nervous temperament and are apt to be stressed.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.521-532
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• 2017

Purpose: The purpose of this study is to structure affective factors related to the tactile sense in order to improve tactile sensibility satisfaction of interior material. In this paper, we propose the design direction of interior material by analyzing the association between material properties and affective factors for automotive interior material. Methods: The relationship between sensibility adjectives and feelings related to tactile sensation were derived through factor analysis after touching prepared samples that were made by changing the material properties of automotive interior material. The association between affective factors and interior material properties were analyzed through ANOVA. Results: Seven kinds of visual and tactile affective factors were derived from the correlation between feeling of material and sensibility adjectives measured by 215 subjects. It is found that there is a quadratic relationship rather than a linear relationship through association analysis between affective factors and the material properties such as roughness, friction coefficient, and hardness. Conclusion: This study suggests the direction of the interior material design which can improve the sensibility satisfaction of the automobile customers by identifying the tactile factors related to the material properties of automotive interior material.

• Journal of Engineering Education Research
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• v.17 no.6
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• pp.20-29
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• 2014

The purpose of this study is to analyze the traits on the cognitive and affective learning style of university students. CALSIU(The Cognitive & Affective Learning Style Inventory for University School Students) by Kim, E. J. was modified for applying to university students and performed with 399 university students from three universities in Daejeon and Chungnam. Statistical analysis done in this study were ANOVA and Scheffe's test. Findings of the study are as follows : First, the students with high academic achievements have intuitive perception type, whole processing type, and deep storage & recall type. Secondly, the students with low academic achievement have strong non-academic learning type. Third, interaction attitude of affective learning styles is the important element to determine their academic achievement. The students with independent type get high academic achievements. Therefore, instructor should consider the learning styles of students, and it should be used to improve their teaching & learning strategy for better academic achievements of university students.

• Journal of the Ergonomics Society of Korea
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• v.28 no.4
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• pp.61-69
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• 2009

With increasing needs for affective design, it became an essential part in a product development process to look up quantitative ergonomic data that reflects customers' preferences on design factors in various products. This study looked at wide LCD monitors and analyzed customers' affective preferences regarding monitor's bezel frame size and shape. The monitor's bezel frame depth, size and ratio were selected as independent variables among many design parameters. As dependent variables, customer's subjective preferences were measured. A statistical analysis revealed that monitor's bezel frame depth, size and ratio had significant effects on customer's preferences. Also, it was possible to find a different tendency on affective variables and their levels for 19" and 24" wide LCD monitors. In general, experiments revealed that customers reacted more sensitively in 24" wide LCD monitors to all variables. In 19" wide LCD monitors, only the lower frame bezel size had a significant effect, otherwise, lower, upper and side frame bezels appeared to be effective variables in 24" monitors. In order to reflect customer's affective preferences to new design of wide LCD monitors, this study is expected to provide quantitative ergonomic data and guidelines for the design of wide LCD monitor's bezel frame depth and size.