• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.20-25
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• 2001

In recent years, the concern about a user center design in increasing, and it's needed to task a user's visual cognitive characteristics for information presentation. Then this study aims to grasp user's cognitive characteristics about the information presentation by analyzing the fixation points. In the experiment, actually subject operated a copy machine. Recorded the fixation point movement of the operation panel by the eye mark recorder. Analysis examined the screen interface of the operation panel from the field of a fixation point trace. The top down type fixation oder by experience or the context became clear as a result. Furthermore, the difference of the fixation order by skill level was also examined. In this study, it was assumed that to grasp the visual cognitive characteristics becomes the key of efficient information.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.82-85
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• 2008

사람과 제품의 인터랙션 과정 중에서 제품 사용 초기 단계에서의 사용자 감성을 평가해 보기위하여 본 연구에서는 처음 접하는 휴대폰을 사용하는 도중에 표출되는 사용자의 감성을 평가해 보았다. 전반적으로 사용성 측면을 상당히 고려하여 디자인한 제품이라고 할 수 있는 휴대폰의 경우 높은 사용적 만족성과 낮은 불편성이 표출되었다. 반면에 전반적으로 새로운 기능과 스타일에만 집중하여 사용자의 사용성 측면에 대해서는 다소 불편한 제품이라고 할 수 있는 휴대폰의 경우 낮은 사용적 만족성, 높은 불편성이 표출되었지만 그 외 심미성, 신규성, 유쾌성, 우수성에서는 높은 값을 나타내었다. 본 연구의 결과를 가지고 성급하게 제품의 사용성과 사용자의 감성에 대한 결론을 내리기에는 다소 미흡하지만 향후 제품 경험 시간에 따라 표출되는 사용자의 감성변화를 분석함으로써 제품의 사용성과 사용자의 감성 간의 관계를 보다 더 명확하게 밝혀낼 수 있으리라 기대한다.

• Journal of Digital Contents Society
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• v.8 no.1
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• pp.35-40
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• 2007

In this paper, we introduces contents about the emotion recognition and character display expressing emotion. In this paper, we proposes on things like how to search characteristic parameters expressing user emotion, how to deduce emotion through pattern matching algorithm. Also, we implemented display platform recognizing the caller's emotion over internet phone. It display character animations expressing emotion as the result deduced by emotion recognition algorithm.

• 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.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.575-584
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• 2012

Decades of psychological research have shown that emotion brings users various kinds of physical and psychological advantages and disadvantages. Moreover, this also impacts human decision-making. However, in spite of the weight of emotion, combined with HCI, relevant research is still insufficient. We hypothesized that the user's temporal emotion could influence the product evaluation, especially in terms of product usability. Two studies were carried out to investigate the effect of induced priming on user evaluations. In exp1, we manipulated participants' temporal emotions using positive and negative images from IAPS. In our results, we saw image priming had a statistically significant effect, with the positive condition group giving the product high ratings for usability. In exp2, emotional image manipulation was conducted with valence and arousal. As a result, we found that the variables of valence and arousal had some interaction effects. These studies have demonstrated that temporally induced emotion could affect users' emotion in different ways, in addition to influencing product evaluations.

• Archives of design research
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• v.19 no.2 s.64
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• pp.343-354
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• 2006

Human emotion is the issue which is subjective, difficult to define and even more difficult to measure because it's personal. In general, the methods for measuring human emotion is divided in two, one is the psychological way based on user's subjective evaluation and another is the physiological way based on physiological signs. However, these methods have some limitations. Therefore, in this study we suggested the methods for measuring users emotion in the natural and accessible environment for the design field. In order to observe user's emotional changes while they interact with a product, we have extracted some emotional words and representative emotions, and made a set of subjective evaluation scales. With these scales, emotion logging program 'VideoTAME' was developed as an effective measurement tool for complementing the current psychological methods. In the testing module of 'VdeoTAME,' participants evaluate their emotional changes through playing and watching the video dips of their performing tasks in the experiment room. In the analyzing module, the researchers replay the results created by participants during the experiment and analyze the results using Microsoft Exel. It is hoped that this study will be of great help for designers for effective measurement of user's emotions naturally expressed while using a product.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.52-53
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• 2005

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.51-52
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• 2011

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.203-223
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• 2014

This study proposes a novel context-aware recommender system, which is designed to recommend the items according to the customer's responses to the previously recommended item. In specific, our proposed system predicts the user's emotional state from his or her responses (such as facial expressions and movements) to the previous recommended item, and then it recommends the items that are similar to the previous one when his or her emotional state is estimated as positive. If the customer's emotional state on the previously recommended item is regarded as negative, the system recommends the items that have characteristics opposite to the previous item. Our proposed system consists of two sub modules-(1) emotion prediction module, and (2) responsive recommendation module. Emotion prediction module contains the emotion prediction model that predicts a customer's arousal level-a physiological and psychological state of being awake or reactive to stimuli-using the customer's reaction data including facial expressions and body movements, which can be measured using Microsoft's Kinect Sensor. Responsive recommendation module generates a recommendation list by using the results from the first module-emotion prediction module. If a customer shows a high level of arousal on the previously recommended item, the module recommends the items that are most similar to the previous item. Otherwise, it recommends the items that are most dissimilar to the previous one. In order to validate the performance and usefulness of the proposed recommender system, we conducted empirical validation. In total, 30 undergraduate students participated in the experiment. We used 100 trailers of Korean movies that had been released from 2009 to 2012 as the items for recommendation. For the experiment, we manually constructed Korean movie trailer DB which contains the fields such as release date, genre, director, writer, and actors. In order to check if the recommendation using customers' responses outperforms the recommendation using their demographic information, we compared them. The performance of the recommendation was measured using two metrics-satisfaction and arousal levels. Experimental results showed that the recommendation using customers' responses (i.e. our proposed system) outperformed the recommendation using their demographic information with statistical significance.

• The Journal of the Korea Contents Association
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• v.2 no.1
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• pp.113-119
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• 2002

E-Biz. system must provide convenient and easy interface, efficient functions, and provides information and contents satisfying customers. To do this, many kinds of studies are being advanced actively about E-Biz. system using intelligent agent technology and efficient E-Biz. strategy. Also E-Biz. system score a lot of information and contents to get a efficient business activities and relationships between a company arid customers. To effectively adopt individual customer's preference and actively adapt change of business situation, we may consider individual user characteristics and emotion. This paper suggests E-Biz. system using intelligent agent technology based on user characteristics and emotion. This system can provide convenient user interface and improve customer royalty. In the results, it is found that proposed system is more efficient than existing systems about customer's preference.