• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.451-455
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• 2008

Emotional design gets more and more important. However, the systematical approaches to integration of user experience elements in product design have been rarely tried. This study consists of three parts. We extracted affective words fitting to design direction based on trend analysis. Then, user experience elements were matched with affective words. Finally, a prototype system was made to guide designing affective factors in electronic products. In the present study, user experience elements were defined as color, material & finishing, and sound. Through various documents analysis and trend analysis, trend analysis experts and user experience designers extracted 31 affective keywords which could fully reflect current trend. After paired-comparison of selected keywords, 2 sensibility dimensions were obtained by multidimensional scaling. Trend affective keywords could be explained by 2 dimensions of human-centered' vs. 'techno-centered' and 'warm vs. cool'. Next, user experience elements stimuli were matched with each keyword by user direct positioning on the 2 dimensions affective map. Based on the result of the experiment, the prototype system was developed for the product designers. The results of the current study could guide designers to design emotionally satisfactory products.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.382-399
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• 2017

The purpose of this study is to identify the structural relationship between service experience, corporate image, service trust, affective commitment and service loyalty in leisure service environment, and explain the causal role of corporate image, service trust and affective commitment. To this end, hypothesis was verified by structural equation model analysis using SPSS 23.0 and AMOS 20.0 statistical package. The result of the study as follows: First, service experience influenced corporate image and service trust but not affective commitment. Second, corporate image influenced service trust and service loyalty but not affective commitment. Third, service trust influenced affective commitment and service loyalty, Finally, affective commitment affected service loyalty. Therefore, service providers should raise corporate image and build the service loyalty by following the user to experience excellent service in a cognitive and affective aspects. Also, by motivating the customer to have affective commitment to the service trust, You need to plan and implement a marketing strategy that can increase loyalty.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.3
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• pp.193-215
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• 2014

This study examines undergraduate nursing students' user satisfaction and affective experience of collaborative information behavior in a group-based learning through survey method to see the relationship between these factors. For this purpose, the affective experiences (positive and negative aspects) of collaborative information search were examined using the PANAS scale through the same questionnaire. Correlation between students' experiences of collaborative information search and affective aspects were examined, and statistical significance using the t-test were also conducted to measure the relationship among students' demographic factors, experiences of collaborative information search and affective aspects. The results revealed that there was a significant correlation between experiences of collaborative information search and affective aspects. Also, there were significant relationships among students' demographic factors, experiences of collaborative information search and affective aspects. In particular, there were signigicant differences in students' overall satisfaction of collaboration and positive aspects between male and female students who experienced collaborative information search. This study found out the possibilities for a follow-up study for affective aspects in collaborative information behavior.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.237-250
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• 2010

The present paper focuses on the comparison of user experience of mobile phone keypad and touchpad. Mobile phone has recently adopted a touchpad keyboard style and it gives users advantages and disadvantages as well. This paper examined usability, usefulness, affect and attitude of those two keyboard styles and disclosed interesting outcomes. First, keypad is better than touchpad in usefulness and usability. Second, touchpad is better than keypad in affect. Finally, touchpad is better than keypad in attitude. Overall, although touchapd is evaluated as worse keyboard in usability and usefulness, test subjects favored touchpad keyboard because it is more emotional and affective. It implies new digital device including mobile phone has to get more affective appeal to the young users and emotion will be a key point in digital consumption.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.10
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• pp.549-564
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• 2016

Due to high cost of domestic production structure, steep growth of China's manufacturing business, and increase in oversea's production, building integrated system to support user-centered product design system based on cognitive and affective information is required to restore development of domestic manufacturing business. This paper put purpose on analysing requirements of end users, especially on information equipment business which works as a major industry in manufacturing businesses, and planning system design direction, prior to constructing user-centered product design support system based on cognitive and affective information. Research was conducted to identify current manufacturing process, application data on manufacturing, availability of cognitive and affective information data and its method of use, and necessity of user-centered product design support system based on cognitive and affective information, by carrying out in-depth interview with 6 related manufacturing companies. Need for user's character information was deducted from the interview, especially cognitive and affective information which is demanding for small to medium manufacturing business to research on its own.

• Journal of Fashion Business
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• v.26 no.1
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• pp.1-15
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• 2022

Digital transformation has induced changes in human life patterns; consumption patterns are also changing to digitalization. Entering the era of industry 4.0 with the 4th industrial revolution, it is important to pay attention to a new paradigm in the fashion industry, the shift from developer-centered to user-centered in the era of the 3rd industrial revolution. The meaning of storing users' changing life and consumption patterns and analyzing stored big data are linked to consumer sentiment. It is more valuable to read emotions, then develop and distribute products based on them, rather than developer-centered processes that previously started in the fashion market. An AI(Artificial Intelligence) deep learning algorithm that analyzes user emotion big data from user experience(UX) to emotion and uses the analyzed data as a source has become possible. By combining AI technology, the fashion industry can develop various new products and technologies that meet the functional and emotional aspects required by consumers and expect a sustainable user experience structure. This study analyzes clear and useful user experience in the fashion industry to derive the characteristics of AI algorithms that combine emotions and technologies reflecting users' needs and proposes methods that can be used in the fashion industry. The purpose of the study is to utilize information analysis using big data and AI algorithms so that structures that can interact with users and developers can lead to a sustainable ecosystem. Ultimately, it is meaningful to identify the direction of the optimized fashion industry through user experienced emotional fashion technology algorithms.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.19-32
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• 2009

Recently emotional relationships between industrial products and user experience are getting more attention than ever. However, current user interface design has focused just on the mechanical and logical aspects. This research proposed a new approach to improve user's emotional experience to interface design and introduced storytelling as a new possibility. Four types of user interface - logical interface, picture added interface, storytelling-applied interface, and storytelling-applied interface with a story script - were used for this research. Eighty college students participated in this research. Each participant was randomly assigned to one of four types of user interfaces. Additionally, their individual differences in affect intensity were measured. he results show that users reported more emotional experience in the storytelling-applied interface and storytelling-applied interface with a story script than the logical interface and just picture added interface. The results also suggest that the higher satisfaction was experienced for the storytelling-applied interface. And all those results are differentiated by the users' affect intensity. The users who have higher affect intensity expressed heavier emotional experience and deeper satisfaction for the storytelling-applied interface.

• KIISE Transactions on Computing Practices
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• v.23 no.6
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• pp.386-391
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• 2017

In this paper, we propose a system that automatically assigns user's experience-based emotion tags from wearable sensor data collected in real life. Four types of emotional tags are defined considering the user's own emotions and the information which the user sees and listens to. Based on the collected wearable sensor data from multiple sensors, we have trained a machine learning-based tagging system that combines the known auxiliary tools from the existing affective computing research and assigns emotional tags. In order to show the usefulness of this multi-modality-based emotion tagging system, quantitative and qualitative comparison with the existing single-modality-based emotion recognition approach are performed.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.271-279
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• 2022

In the discipline of design science, the integration of cognitive, semantic, and affective elements is crucial in the conception and development of a product. Affective components in IT artefacts have attracted researchers' attention, but little attention has been given to Geographic Information Systems (GIS). This research was conducted to identify emotions in web-based GIS, and determine design influences on the emotions using Kansei engineering (KE). In the evaluation procedure, ten web-based GIS were used as specimens, and 20 Kansei words were used as emotional descriptors in the Kansei checklist. 50 participants were asked to rate their emotional responses towards the specimens on the Kansei checklist. Principal Component Analysis was used to discover the semantic structure of Kansei, in which dynamism and spaciousness were identified. Significant Kansei concepts were identified using Factor Analysis, in which dynamic & well-organized, refreshing, spacious, professional, and nautical-look were identified. Partial Least Square analysis has assisted the research in discovering the significant design influence to the Kansei. These findings provide designers and other stakeholders with valuable knowledge for strategizing future web-based GIS designs that incorporate user emotions.

• Journal of the Ergonomics Society of Korea
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• v.36 no.2
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• pp.87-108
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• 2017

Objective: The purpose of this study was to precede the acceptance study based on automation steps and user experience that was lacked in the past study on the core technology of autonomous vehicle, ADAS. The first objective was to construct the acceptance model of ADAS technology that is the core technology, and draw factors that affect behavioral intention through user experience-based evaluation by applying driving simulator. The second one was to see the change of factors on automation step of autonomous vehicle through the UX/UA score. Background: The number of vehicles with the introduction of ADAS is increasing, and it caused change of interaction between vehicle and driver as automation is being developed on the particular drive factor. For this reason, it is becoming important to study the technology acceptance on how driver can actively accept giving up some parts of automated drive operation and handing over the authority to vehicle. Method: We organized the study model and items through literature investigation and the scenario according to the 4 stages of automation of autonomous vehicle, and preceded acceptance assessment using driving simulator. Total 68 men and woman were participated in this experiment. Results: We drew results of Performance Expectancy (PE), Social Influence (SI), Perceived Safety (PS), Anxiety (AX), Trust (T) and Affective Satisfaction (AS) as the factors that affect Behavioral Intention (BI). Also the drawn factors shows that UX/UA score has a significant difference statistically according to the automation steps of autonomous vehicle, and UX/UA tends to move up until the stage 2 of automation, and at stage 3 it goes down to the lowest level, and it increases a little or stays steady at stage 4. Conclusion and Application: First, we presented the acceptance model of ADAS that is the core technology of autonomous vehicle, and it could be the basis of the future acceptance study of the ADAS technology as it verifies through user experience-based assessment using driving simulator. Second, it could be helpful to the appropriate ADAS development in the future as drawing the change of factors and predicting the acceptance level according to the automation stages of autonomous vehicle through UX/UA score, and it could also grasp and avoid the problem that affect the acceptance level. It is possible to use these study results as tools to test validity of function before ADAS offering company launches the products. Also it will help to prevent the problems that could be caused when applying the autonomous vehicle technology, and to establish technology that is easily acceptable for drivers, so it will improve safety and convenience of drivers.