早矢仕研究室 B4の指原くん、早矢仕講師が2024年3月9日〜11日に大濱信泉記念館（石垣島）で開催された人工知能学会：経営課題にAIを! ビジネス・インフォマティクス研究会（SIG-BI 2024）にて研究発表を行いました。

タイトル：視線計測を用いたC2Cマーケットにおける買い手の情報消化の過程分析

著者：指原淳, 早矢仕晃章

アブストラクト：Although the size of consumer-to-consumer (C2C) markets has expanded in recent years, trust building has become a crucial issue in market services. Especially in online C2C shopping, where face-to-face interactions are impossible, efficient communication through product pages plays a key role. In this study, we analyze the items that buyers consider important when understanding the information on product pages through the evaluation of fictitious product pages. Furthermore, by conducting eye tracking simultaneously, we organize the methods of information processing by consumers.

本研究は、株式会社メルカリR4DとRIISEとの共同研究である価値交換工学、及び科研費基盤B研究「データ流通市場のダイナミクスの解明と制度設計（20H02384）」の支援を頂きました。

タイトル：異分野メタデータからの文脈と変数に基づくデータ形態素抽出の試み

著者：早矢仕晃章, 藤田幸久, 桑原昌広

アブストラクト：In recent years, value creation through data exchange and distribution among different organizations has been attracting attention as a new source of innovation. However, the design and acquisition of data is highly specialized. Therefore, data exchange between others with different background knowledge involves risks such as the application of incorrect data analysis methods and inconsistencies during data integration. In this study, we believe that sharing not only the actual data but also the intrinsic meaning of the data is effective in addressing these issues. In this paper, we define “data morphemes” as the basic structure of data, and obtain the semantic units of data as the contexts and variables, and their relationships from textual information contained in metadata. We then discuss the results of our attempt to extract data morphemes using association analysis with network approach.

本研究はトヨタ自動車株式会社，科研費基盤B研究「データ流通市場のダイナミクスの解明と制度設計（20H02384）」，JSTさきがけJPMJPR2369の支援を頂きました。