• Taesu won a student best paper award in the 13th ALC

    Taesu won a student best paper award in the 13th ALC

    Taesu received a student best paper award at the 13th Asia Lighting Conference with the paper entitled “Light Attributes as the Additional Feedback of Voice Assistant in Automobiles.” He proposed in-vehicle light design guidelines to the response from voice assistants by conducting participatory design workshops. For manipulating light attributes, he developed a control device that…

  • GP22 by GyunPyo at CVPR 2022

    GP22 by GyunPyo at CVPR 2022

    A part of Gyunpyo’s Master’s thesis is published with the title “GP22: A Car Styling Dataset for Automotive Designers” via the 5th Workshop on Computer Vision for Fashion, Art, and Design (CVFAD) of The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2022. In addition, Gyunpyo had a chance to present his work…

  • Donggun and Taesu’s Pokemon research EI 2022

    Donggun and Taesu’s Pokemon research EI 2022

    Donggun and Taesu joined the conference, the Color Imaging XXVII: Displaying, Processing, Hardcopy, and Applications in the Electronic Imaging 2022(EI2022). Their article was entitled “Pokemon color adjustments for augmented reality contents”, which investigated the color adjustment level of Pokemon while users’ consumed augmented reality content. Abstract The methods for rendering content realistic in Augmented Reality…

  • The color tolerance of vehicular instrument panels presented at EI 2022

    The color tolerance of vehicular instrument panels presented at EI 2022

    Taesu made a presentation entitled “A method proposal for evaluating color tolerance in viewing multiple white points focusing on the vehicle instrument panels” at Human Vision and Electronic Imaging 2022. The study proposed a method with an analysis protocol for evaluating the color and illuminance uniformity in the vehicle. It addresses the relevance of color…

  • Taesu’s machine learning article won the best paper award

    Taesu’s machine learning article won the best paper award

    Taesu’s article received the best paper award from the Korean Society for Emotion and Sensibility. The article is entitled, “Hi, KIA! Classifying Emotional States from Wake-up Words Using Machine Learning [Hi, KIA! 기계 학습을 이용한 기동어 기반 감성 분류]” published in April 2021(see the paper). He introduced the dataset and machine learning model that extract…

  • Byeonjin won the best paper presentation. Congrats!

    Byeonjin won the best paper presentation. Congrats!

    Byeongjin received the best paper presentation award from the 2021 Fall Conference of Korea Society of Color Studies. The award-winning article was entitled, “Optimal Luminance for Television Viewing in the Dark Room[어두운 환경에서 TV 시청 시의 적정 휘도 탐색]”, which investigated users’ visual comfort when watching the television in a dark. Taesu participated in the…

  • Comfortable Brightness for Watching Television in the Dark by Byeongjin at AIC2021

    Comfortable Brightness for Watching Television in the Dark by Byeongjin at AIC2021

    Byeongjin made an oral presentation entitled, “Comfortable Brightness for Watching Television in the Dark” on AIC 2021. In his study, he investigated the appropriate brightness of the display when users watching them in the dark. For this study, he conducted the experiment for the cognitive evaluation using six video stimuli with different levels of brightness…

  • Is blue still a representative for future vehicles by Gyunpyo at AIC2021

    Is blue still a representative for future vehicles by Gyunpyo at AIC2021

    At the 14th AIC Congress 2021 held in Milan, Italy, Gyunpyo Lee delivered an oral presentation entitled “Is Blue Still a representative for Future Vehicles?”. The study shows how the marketing norm for eco-consciousness represents color for future vehicles, encompassing both battery electric vehicles and hydrogen-powered electric vehicles. Furthermore, the study revealed that heritage brands…

  • Qinyue’s “Bubble Coloring” at CHI 2021

    Qinyue’s “Bubble Coloring” at CHI 2021

    Qinyue presented an extended abstract entitled, “Bubble Coloring to Visualize the Speech Emotion” at CHI 2021 virtual conference, and Yuchun has co-authored the paper. As a part of Qinyue’s master thesis, the study explored the emotional effect of the chat bubble’s background color on voice messages. The empirical result demonstrated that the bubble color intensified…

  • Hyeonju reported about the excessive light from home appliances

    Hyeonju reported about the excessive light from home appliances

    As an invited talk to the 17th China International Forum on Solid-State Lighting (SSL China 2020) held in Shenzhen, China, Hyeonju delivered a video presentation entitled “Thoughts and Approaches toward the Guideline of Light Interface of Home Appliances”. The study introduced three approaches: a review of domestic legal guidance concerning outdoor light pollution, a consumer…

  • Is “Hi… Kia…” sufficient to express sad mood? Yes. Deep learning driven investigation by Youngwoo and Taesu

    Is “Hi… Kia…” sufficient to express sad mood? Yes. Deep learning driven investigation by Youngwoo and Taesu

    Youngwoo Kim, an undergraduate intern has presented a paper entitled, “Hi, Kia, HI… Kia…, HI, KIA!” at the 2020 Fall Conference of Korea Society for Emotion and Sensibility. This study investigated the affective quality from the Wake-Up Words(WUW) in a passenger car. Having collaborated with Kia Design Center, Color lab has carried out a series…

  • Skin color perception in portrait and emoji by Yuchun Yan at CIC28

    Skin color perception in portrait and emoji by Yuchun Yan at CIC28

    Yuchun Yan, a Ph.D. student of Color lab made an interactive and poster presentation entitled “Skin Color Perception in Portrait Image and AR-based Humanoid Emoji.” A user study was conducted with 20 graduate students majoring in design, and 24 portrait images in four skin tone categories were employed. Through the user study, we observed skin colors…