著者

森田 麻登 森島 泰則

出版者

日本時間学会

雑誌

時間学研究 (ISSN:18820093)

巻号頁・発行日

vol.8, pp.33-44, 2017 (Released:2018-08-01)

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時間感覚と気分・感情には関連があると考えられているものの,十分な研究は行われていない。そこで本研究では,時間を短く感じる状況と長く感じる状況を想起してもらい,それぞれの特徴を比較検討した。さらに,この2つの状況と抑うつ傾向の関連についても探索的に検討を行うことを目的とした。271名の調査対象者に対し,抑うつ尺度および,主観的時間の長さが変化するような状況・場面について自由記述を実施し,テキストマイニング分析を行った。その結果,時間を短く感じる状況では「快」等,ポジティブな内容の割合が多く,「快」「趣味・娯楽」「他者」の3つに関連がみられた。また,時間を長く感じる状況では「不快」等,ネガティブな内容が多く,「不快」は「学業」と,「退屈」は「アルバイト」と関連がみられた。さらに,抑うつ者は,時間を短く感じる状況として「睡眠」に関する内容を記述する割合が高かった。得られた結果から,心理的時間には,感情価や抑うつ傾向が関連している可能性が示唆された。

著者

中嶋 宏 森島 泰則 山田 亮太 Scott Brave Heidy Maldonado Clifford Nass 川路 茂保

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.19, no.3, pp.184-196, 2004 (Released:2004-04-06)

参考文献数

29

被引用文献数

4 15

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In this information society of today, it is often argued that it is necessary to create a new way of human-machine interaction. In this paper, an agent with social response capabilities has been developed to achieve this goal. There are two kinds of information that is exchanged by two entities: objective and functional information (e.g., facts, requests, states of matters, etc.) and subjective information (e.g., feelings, sense of relationship, etc.). Traditional interactive systems have been designed to handle the former kind of information. In contrast, in this study social agents handling the latter type of information are presented. The current study focuses on sociality of the agent from the view point of Media Equation theory. This article discusses the definition, importance, and benefits of social intelligence as agent technology and argues that social intelligence has a potential to enhance the user's perception of the system, which in turn can lead to improvements of the system's performance. In order to implement social intelligence in the agent, a mind model has been developed to render affective expressions and personality of the agent. The mind model has been implemented in a human-machine collaborative learning system. One differentiating feature of the collaborative learning system is that it has an agent that performs as a co-learner with which the user interacts during the learning session. The mind model controls the social behaviors of the agent, thus making it possible for the user to have more social interactions with the agent. The experiment with the system suggested that a greater degree of learning was achieved when the students worked with the co-learner agent and that the co-learner agent with the mind model that expressed emotions resulted in a more positive attitude toward the system.

著者

中嶋 宏 森島 泰則 山田 亮太 Scott Brave Heidy Maldonado Clifford Nass 川路 茂保

出版者

The Japanese Society for Artificial Intelligence

雑誌

人工知能学会論文誌 = Transactions of the Japanese Society for Artificial Intelligence : AI (ISSN:13460714)

巻号頁・発行日

vol.19, pp.184-196, 2004-11-01

被引用文献数

1 15

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In this information society of today, it is often argued that it is necessary to create a new way of human-machine interaction. In this paper, an agent with social response capabilities has been developed to achieve this goal. There are two kinds of information that is exchanged by two entities: objective and functional information (e.g., facts, requests, states of matters, etc.) and subjective information (e.g., feelings, sense of relationship, etc.). Traditional interactive systems have been designed to handle the former kind of information. In contrast, in this study social agents handling the latter type of information are presented. The current study focuses on sociality of the agent from the view point of Media Equation theory. This article discusses the definition, importance, and benefits of social intelligence as agent technology and argues that social intelligence has a potential to enhance the user's perception of the system, which in turn can lead to improvements of the system's performance. In order to implement social intelligence in the agent, a mind model has been developed to render affective expressions and personality of the agent. The mind model has been implemented in a human-machine collaborative learning system. One differentiating feature of the collaborative learning system is that it has an agent that performs as a co-learner with which the user interacts during the learning session. The mind model controls the social behaviors of the agent, thus making it possible for the user to have more social interactions with the agent. The experiment with the system suggested that a greater degree of learning was achieved when the students worked with the co-learner agent and that the co-learner agent with the mind model that expressed emotions resulted in a more positive attitude toward the system.

著者

鈴木 聡 森島 泰則 中村 美代子 槻舘 尚武 武田 英明

出版者

日本知能情報ファジィ学会

雑誌

知能と情報 : 日本知能情報ファジィ学会誌 : journal of Japan Society for Fuzzy Theory and Intelligent Informatics (ISSN:13477986)

巻号頁・発行日

vol.20, no.4, pp.513-525, 2008-08-15

被引用文献数

1

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本研究では身体化エージェントの登場位置・身体方向に注目し,物理空間・仮想空間の間に寸断されたユーザと身体化エージェントの位置関係を乗り越え,対等な社会的関係の構築が行える環境を追求する.身体化エージェントの身体方向と,画面奥行き方向の仕切りを基準とした身体化エージェントの登場位置に着目し,これらのユーザへの影響を心理実験により検討を行った.この際,人間同士の2者対話における身体配置の選好における男女差の存在が知られているため,考慮に入れた.実験1(N=48)では作業の遂行(写真の記憶再認課題)と身体化エージェントの印象に対して上記の要因が与える影響について,男女差も考慮の上検討した.実験2(N=51)においては身体化エージェントの身体方向の,ユーザが認知するエージェントとの距離への影響について実験を行った.これらの実験の結果,エージェントの登場位置のみならず,身体方向もエージェントとの距離のユーザの認知に影響し,男性のユーザは女性のユーザより距離を離した形でのエージェントの身体配置を好む可能性が示唆された.身体化エージェントの身体配置,およびその影響の男女差を踏まえた身体化エージェントの設計の必要性を本研究は示している.