ゼミナール発表

日時: 09月27日(水)5限(16:50-18:20)


会場: L1

司会: 丁 明
磯部 良太 1651012: M, 2回目発表 環境知能学 萩田 紀博, 小笠原 司, 神原 誠之
title: Autonomous Driving Motion Sickness: Stress evaluation of Mixed Environment of Car Sickness and VR Sickness
abstruct: Conventional driver became one of passengers along with car automation. Then, it is expected that car sickness will increase due to difficulties in predicting vehicle behavior of the vehicle. Furthermore, A passenger keeps running while watching the video due to information presentation technology using the AR and the proposal of the video presentation intended to reduce a passenger's stress. This will be a new environment with car sickness and VR sickness mixed. In this presentation, the motion sickness accompanied by car sickness and VR sickness generated during self-driving is defined as "Autonomous Driving Motion Sickness". Also, we examine the influence of automatic sickness in automatic driving environment.
 
鈴木 裕貴 1651065: M, 2回目発表 環境知能学 萩田 紀博, 小笠原 司, 神原 誠之
title: Effect to a user of daily short conversation with a robot in semi-public space
abstract:Isolated death and other problems are occurring due to lack of communication between residents in a revenue house. Therefore, we develop robots that can build trusting relationships with residents through semi-public spaces in daily short-term interaction. Investigate the impact on robot greetings as the first step in building trust relationships.
language of the presentation:Japanese
発表題目: 半公共空間における日常的ロボット対話がユーザに与える影響の調査
発表概要:集合住宅での住民間コミュニケーションの不足により孤立死などの問題が起きている。行政などが住民のコミュニティの形成の支援を行っているが、高齢化や地域にいる時間の少ないサラリーマンの増加により難しい。そこで本研究では半公共空間で日常的短期対話により住人と信頼関係を構築できるロボットを開発し、コミュニケーションを促進する。信頼関係構築の最初の段階としてのロボットの挨拶について影響を調査する。
 
澤邊 太志 1661010: D, 中間発表 環境知能学 萩田 紀博, 小笠原 司, 神原 誠之
title: Comfort Intelligence for Autonomous Vehicle - Stress and Motion Sickness-
abstract: abstract: In recent years, autonomous driving technologies are being developed for cars and personal mobility devices, including electric wheelchairs for elderly and disabled persons. Most relevant research focuses on the efficiency and safety of autonomous driving. However, passenger comfort for the autonomous vehicle has not been investigated with regard to safety and comfort. In discomfort factors, there are two main factors: stress and motion sickness for the autonomous vehicle have to be solved for the future use of the autonomous vehicle. In this research, we estimate the discomfort factors with physiological sensors as well as proposed solutions for each different discomforts factors to make comfort intelligence.
language of the presentation: Japanese
発表題目: 搭乗者の快適性に基づく自動運転の実現 自動走行ストレスと自動走行酔い-
発表概要: 近年では自動車に加えて, シニアカー, 電動車椅子などを含むパーソナルモビリティの自動走行化が数多く みられるが, それらの研究の多くは移動効率・安全性に主眼が置かれたものである. 将来的に自動走行車がその搭乗者 から受け入れられるには, 安全性だけでなく搭乗者が知覚する快適性を考慮した自動走行車の実現が重要である. 従来運転手であった人が自動走行化された車に乗ることで, 一人の搭乗者となり, 運転から解放される. このことによって, 快適性を阻害する要因が生まれ, この不快となる要因の軽減が今後自動走行車の普及において, 必要不可欠となる. これら不快要因の中でも, 特にストレスと自動走行酔いの二つが大きな問題となる. 本研究では, これらの快適性の阻害要因を推定および分類し, それぞれの要因に対して, 軽減するための手法の提案を生理指標による客観的評価に基づき検証を行う.
 

会場: L2

司会: 佐々木 博昭
幾谷 吉晴 1651007: M, 2回目発表 ソフトウェア工学 松本 健一, 池田 和司, 久保 孝富, 石尾 隆, 畑 秀明
title: Difference in Brain Activity Between Experts and Non-Experts During Program Comprehension
abstract: In software engineering, many research works have demonstrated that expert programmers outperform non-expert with 10 to 30 times productivity. However, little is known about the distinction between experts and non-experts. Revealing the distinction will contribute to programming education and recruiting. To identify expert characteristics, we compare brain activities of experts and non-experts during program comprehension using functional magnetic resonance imaging. In the experiment, eight non-expert programmers and nine expert programmers, who were rated high in program contest, read and classified a set of code snippets. We are planning to verify whether expert specific brain activity pattern is observed in certain areas with brain decoding method.
language of the presentation: Japanese
 
盒供〕座 1651067: M, 2回目発表 ユビキタスコンピューティングシステム 安本 慶一, 池田 和司, 荒川 豊, 水本 旭洋
title: Prediction and improvement of worker's physical and mental condition by using wearable devices for life-logs.
abstract: It is known that working on an adverse physical/mental condition reduces productivity and causes a lot of economic loss. In this study, we focus on the causal relationship between physical/mental condition and lifestyle habit. We collect daily physical/mental condition data by questionnaire and lifestyle habit by using wearable devices for life-logs which are becoming popular in recent years. Then, we analyze relationship between physical/mental condition and lifestyle habit and use it for prediction and improvement. In this presentation, we introduce analyzing method and collecting method of physical/mental condition and life-logs, and platform for collecting data which is developing.
language of the presentation: Japanese
タイトル: 労働者のためのライフログ用ウェアラブル機器を用いた体調の予測と改善
概要 : 体調か優れない状態で労働した場合の労働生産性の低下か問題視されており,潜在的な経済的損失か大きいことかわかっている. 本研究では,体調と生活習慣の因果関係に着目し,近年普及しつつあるライフログ用ウェアラブル機器を用いることで生活習慣の収集を行う. そして,日々の体調データをアンケートにより収集することで,体調と生活習慣の関連性を分析し,体調の予測と改善に役立てる. 本発表では,体調とライフログデータの解析方法,収集方法と開発中のデータ収集基盤について述べる.