• Title/Summary/Keyword: User Emotion

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The effects of the usability of products on user's emotions - with emphasis on suggestion of methods for measuring user's emotions expressed while using a product -

  • Jeong, Sang-Hoon
    • Archives of design research
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    • v.20 no.2 s.70
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    • pp.5-16
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    • 2007
  • The main objective of our research is analyzing user's emotional changes while using a product, to reveal the influence of usability on human emotions. In this study we have extracted some emotional words that can come up during user interaction with a product and reveal emotional changes through three methods. Finally, we extracted 88 emotional words for measuring user's emotions expressed while using products. And we categorized the 88 words to form 6 groups by using factor analysis. The 6 categories that were extracted as a result of this study were found to be user's representative emotions expressed while using products. It is expected that emotional words and user's representative emotions extracted in this study will be used as subjective evaluation data that is required to measure user's emotional changes while using a product. Also, we proposed the effective methods for measuring user's emotion expressed while using a product in the environment which is natural and accessible for the field of design, by using the emotion mouse and the Eyegaze. An examinee performs several tasks with the emotion mouse through the mobile phone simulator on the computer monitor connected to the Eyegaze. While testing, the emotion mouse senses user's EDA and PPG and transmits the data to the computer. In addition, the Eyegaze can observe the change of pupil size. And a video camera records user's facial expression while testing. After each testing, a subjective evaluation on the emotional changes expressed by the user is performed by the user him/herself using the emotional words extracted from the above study. We aim to evaluate the satisfaction level of usability of the product and compare it with the actual experiment results. Through continuous studies based on these researches, we hope to supply a basic framework for the development of interface with consideration to the user's emotions.

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Design and Implementation of Location Recommending Services using Personal Emotional Information based on Collaborative Filtering (개인 감성정보를 이용한 협업 필터링 기반 장소 추천 서비스 설계 및 구현)

  • Byun, Jeong;Kim, Dong Keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.8
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    • pp.1407-1414
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    • 2016
  • In this study, we develop that Location Recommending System using personal emotion information based on Collaborative Filtering. Previous Location Recommending System recommended a place visited by the user of the rating or the pattern of location for the user place. These systems are not high user satisfaction because that dose not consider the user status or have not objectively the information. Using user's personal emotion information to recommend a high-affinity users who have visited the place felt similar emotions objectively can improve user satisfaction with the place. In this study, a user using a mobile application directly register the recognized emotion information using the current position and bio-signal, and using the registered information measuring the similarity of user with a similarity emotion, predicts a preference for the place it is recommended to emotional place. The system consists of a user interface, a database, a recommendation module.

An Empirical Study for the Effects of Game Characteristics on Emotion and Customer Satisfaction in Game Portal Site (게임 특성이 게임포털 사이트에 대한 감정과 고객만족에 미치는 영향에 관한 연구)

  • Kim, Eun-Jung;Jang, Hyeong-Wook;Kim, Jong-Weon
    • Journal of Korea Society of Industrial Information Systems
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    • v.12 no.5
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    • pp.23-38
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    • 2007
  • Since the players in online games seek fun, emotional aspects may be important factors in the pleasure-oriented information systems. This study attempted to verify the effects of characteristic factors of games (fun, challenge, compensation, and diversity) on emotion and customer satisfaction in game portal sites. The study established the research model on the foundation of precedent researches related to online games, emotion, and customer satisfaction. The study conducted online and offline survey on individuals with experiences in using online game portal sites. 206 samples were used to test the research hypotheses. By using Structural Equation Modeling, The study found the following results. First, it was revealed that characteristics of games had positive effects on emotion in game portal sites and indirect effects on user satisfaction. Second, the study analyzed the difference between low user group and high user group. It was revealed that the characteristics of games had positive effects on emotion in the low user group, but only challenge factor influenced on emotion in the high user group.

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Implementation of Intelligent Virtual Character Based on Reinforcement Learning and Emotion Model (강화학습과 감정모델 기반의 지능적인 가상 캐릭터의 구현)

  • Woo Jong-Ha;Park Jung-Eun;Oh Kyung-Whan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.3
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    • pp.259-265
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    • 2006
  • Learning and emotions are very important parts to implement intelligent robots. In this paper, we implement intelligent virtual character based on reinforcement learning which interacts with user and have internal emotion model. Virtual character acts autonomously in 3D virtual environment by internal state. And user can learn virtual character specific behaviors by repeated directions. Mouse gesture is used to perceive such directions based on artificial neural network. Emotion-Mood-Personality model is proposed to express emotions. And we examine the change of emotion and learning behaviors when virtual character interact with user.

A study on the enhancement of emotion recognition through facial expression detection in user's tendency (사용자의 성향 기반의 얼굴 표정을 통한 감정 인식률 향상을 위한 연구)

  • Lee, Jong-Sik;Shin, Dong-Hee
    • Science of Emotion and Sensibility
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    • v.17 no.1
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    • pp.53-62
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    • 2014
  • Despite the huge potential of the practical application of emotion recognition technologies, the enhancement of the technologies still remains a challenge mainly due to the difficulty of recognizing emotion. Although not perfect, human emotions can be recognized through human images and sounds. Emotion recognition technologies have been researched by extensive studies that include image-based recognition studies, sound-based studies, and both image and sound-based studies. Studies on emotion recognition through facial expression detection are especially effective as emotions are primarily expressed in human face. However, differences in user environment and their familiarity with the technologies may cause significant disparities and errors. In order to enhance the accuracy of real-time emotion recognition, it is crucial to note a mechanism of understanding and analyzing users' personality traits that contribute to the improvement of emotion recognition. This study focuses on analyzing users' personality traits and its application in the emotion recognition system to reduce errors in emotion recognition through facial expression detection and improve the accuracy of the results. In particular, the study offers a practical solution to users with subtle facial expressions or low degree of emotion expression by providing an enhanced emotion recognition function.

An Emotion-based Image Retrieval System by Using Fuzzy Integral with Relevance Feedback

  • Lee, Joon-Whoan;Zhang, Lei;Park, Eun-Jong
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.683-688
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    • 2008
  • The emotional information processing is to simulate and recognize human sensibility, sensuality or emotion, to realize natural and harmonious human-machine interface. This paper proposes an emotion-based image retrieval method. In this method, user can choose a linguistic query among some emotional adjectives. Then the system shows some corresponding representative images that are pre-evaluated by experts. Again the user can select a representative one among the representative images to initiate traditional content-based image retrieval (CBIR). By this proposed method any CBIR can be easily expanded as emotion-based image retrieval. In CBIR of our system, we use several color and texture visual descriptors recommended by MPEG-7. We also propose a fuzzy similarity measure based on Choquet integral in the CBIR system. For the communication between system and user, a relevance feedback mechanism is used to represent human subjectivity in image retrieval. This can improve the performance of image retrieval, and also satisfy the user's individual preference.

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The interaction between emotion recognition through facial expression based on cognitive user-centered television (이용자 중심의 얼굴 표정을 통한 감정 인식 TV의 상호관계 연구 -인간의 표정을 통한 감정 인식기반의 TV과 인간의 상호 작용 연구)

  • Lee, Jong-Sik;Shin, Dong-Hee
    • Journal of the HCI Society of Korea
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    • v.9 no.1
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    • pp.23-28
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    • 2014
  • In this study we focus on the effect of the interaction between humans and reactive television when emotion recognition through facial expression mechanism is used. Most of today's user interfaces in electronic products are passive and are not properly fitted into users' needs. In terms of the user centered device, we propose that the emotion based reactive television is the most effective in interaction compared to other passive input products. We have developed and researched next generation cognitive TV models in user centered. In this paper we present a result of the experiment that had been taken with Fraunhofer IIS $SHORE^{TM}$ demo software version to measure emotion recognition. This new approach was based on the real time cognitive TV models and through this approach we studied the relationship between humans and cognitive TV. This study follows following steps: 1) Cognitive TV systems can be on automatic ON/OFF mode responding to motions of people 2) Cognitive TV can directly select channels as face changes (ex, Neutral Mode and Happy Mode, Sad Mode, Angry Mode) 3) Cognitive TV can detect emotion recognition from facial expression of people within the fixed time and then if Happy mode is detected the programs of TV would be shifted into funny or interesting shows and if Angry mode is detected it would be changed to moving or touching shows. In addition, we focus on improving the emotion recognition through facial expression. Furthermore, the improvement of cognition TV based on personal characteristics is needed for the different personality of users in human to computer interaction. In this manner, the study on how people feel and how cognitive TV responds accordingly, plus the effects of media as cognitive mechanism will be thoroughly discussed.

Use of Emotion Rule for Game Characters Emotion Structure (게임 캐릭터의 감정구조를 위한 감정규칙의 활용)

  • Park, Jun-Hyoung;Ko, Il-Ju;Sung, Bo-Kyung
    • Journal of Korea Game Society
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    • v.16 no.1
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    • pp.23-32
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    • 2016
  • A recent emotion research has attracted attention as an element to enhance the interaction with the user to play the game. Emotion expressed in the previous game was using a simple structure. However, increasing the user's needs of emotions that have been used in the game is necessary to structure the emotions caused. In this paper, it was utilized for the character of emotion in the game rules of the proposed emotion based on the principle of biological feelings. And it was classified a game component that affects the emotions and character provides a structure for recognizing the emotion from the game. This paper provides a structural framework to be considered in order to analyze emotions used in existing game to the role of emotion, to express emotion in the game.

A Survey of Usability and User-Centered Design Practice in IT industry (IT업계에서의 사용성 및 사용자 중심설계에 관한 현황조사)

  • 지용구
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2003.11a
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    • pp.1231-1232
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    • 2003
  • This paper reports results of a recent survey of 184 Information Technology(IT) development practitioners and 90 User Interface (UI)/usability practitioners. This survey covered a broad range of issues including the respondents' profile, current development environment, usability and user-centered design (UCD) adoption issues in development, overall assessment of usability/UCD in Korea, and the most widely used methods and techniques. The results of this study are expected to provide an empirical basis for usability and UCD planning, training, adoption and execution in IT industry of Korea.

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Ethnographical Research for Capturing Emotional Level of User Demand (인류학적 접근을 통한 감성 디자인 연구)

  • Chang, Jin-A
    • 한국HCI학회:학술대회논문집
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    • 2007.02b
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    • pp.33-39
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    • 2007
  • Designing emotion and product experience firstly require companies and individuals involved in NPD (New Product Development) to understand what user really want to receive from owning and using their product. Admitting this necessarily poses the following questions: Can a designer indeed plan for a particular emotion or experience? If yes, what factors must be devoted to designing the user's experience? How can the user's feelings and moods be measured when they use the product? The answer can be found in ethnographical design research.

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