研究員のKIEU, Que Anhさん（ヒューマンライフデザイン領域、永井研究室）と学生のZHAO, Jingさん（博士後期課程1年、ヒューマンライフデザイン領域、永井研究室）が日本デザイン学会第3支部奨励賞を受賞しました。
【KIEU, Que Anhさん】
Extracting user requirements from online reviews with neural sequence labeling models
In this work, we study how to extract user requirements for product design by utilizing online review documents and exploiting text mining methods. For doing this, we formulate user requirements extraction tasks as recognizing sequence labeling problems. We then investigate neural sequence labeling learning as the primary methods for extracting user requirements. The extraction results are promising and suggest us for studying more about using text mining techniques for creative design in the future.
I am delighted to receive the award from JSSD (Japanese Society for the Science of Design). I would like to express my deepest thanks to Prof. Yukari Nagai for guiding me and support me every time. I would like to thank our co-authors and students in Nagai Lab for supporting me in the research. I am also really thankful to JAIST for providing us an excellent environment for doing research. This award encourages us to do our studies better to obtain higher achievements.
Effects of personal working environment design on occupant's mind concentration
Recently, there is a common phenomenon that students are easier to get homework distraction is more and more concerned in society. A pre-investigation about the homework distraction and homework environment have done at first. Its result proved the conclusion of homework distraction phenomenon among the students. Also, it showed there are the connections between the homework distraction and personal working environment. From the point of view of the environment, the environment influences occupants on lots of side by its unique ways. Like some different environments could lead to different productivity or creativity results for the occupant. To avoid the homework distraction phenomenon, we have done a study to identify the characteristics in the personal working environment and find which is good for occupant's mind concentration, which is bad for occupant's mind concentration. In the research process, we used Q-methodology to find the photographic personal working environments with the highest perceived mind concentration potential and lowest perceived mind concentration potential. Then, evaluators analyzed the environmental characteristics of the personal working environments with the highest perceived mind concentration potential and lowest perceived mind concentration potential by the scale of Daylighting, Internal organization of objects/facilities, Biophilia and view, Look and feel. From the correlation analysis and multiple regression analysis results, three characteristics in the personal working environment were found that predict high perceived mind concentration. They are (1) Good view (urban view or natural view), (2) Gig table, (3) Use more neutral color.
I am greatly honored to receive this award. But it is not a victory of my own, but one of all giving help all along. I would like to express my sincere appreciation to all of you. Thank you so much. In particular, I have to give my deepest gratitude to my supervisor Nagai Sensei. Also, thanks to all members of JSSD for giving me this chance. I will keep working hard in the future.