Physiological Signal-based Networking to Objectively, Continuously, and Unconsciously Measure and Improve Quality of Experience

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K11939
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60060:Information network-related
• Research Institution: University of Yamanashi
• Principal Investigator: Omata Masaki 山梨大学, 大学院総合研究部, 准教授 (60402088)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: Physiological Computing / 生理心理学 / 体感品質 / ユーザエクスペリエンス推定

Outline of Final Research Achievements

The purpose of this study is to derive a basic design guideline for physiological signal-based networking, in which a user's experience of network performance is continuously estimated from the user's physiological signals and the network is controlled in conjunction with the estimated results. We have validated several methods for estimating changes in the viewer's experience in response to changes in video quality, assuming changes in network traffic, from the viewer's EEG, blood volume pulse wave, and eye tracking data. As the results, we found that estimation accuracy was higher for the dataset that included physiological signals than for the dataset that did not include physiological signals. The coefficients of determination were found to be more than 0.8 for the datasets that included the properties of video and physiological signals.

Free Research Field

ヒューマンコンピュータインタラクション

Academic Significance and Societal Importance of the Research Achievements

本研究の成果は，ネットワークの状況やアプリケーションの応答，そして，それらへのユーザの反応や体感が逐次変化する循環の中でコンピュータやネットワークを自動的に制御する技術のための基礎的データになると考える．そして，Soiciety5.0の計画で提唱されている「人間中心社会」における「必要なサービスを必要なときに必要なだけ提供する」機能へ貢献すると考える．