著者
宮原 佐智子 田和辻 可昌 松居 辰則
出版者
Japan Society of Kansei Engineering
雑誌
日本感性工学会論文誌 (ISSN:18840833)
巻号頁・発行日
pp.TJSKE-D-16-00047, (Released:2016-11-16)
参考文献数
23

Many people have experienced that even long after their graduation, their school songs can still evoke nostalgia of their old school days. In this study, we proposed a psychological model of the generation mechanism underlying the school-song-evoked nostalgic feelings. Firstly, we extracted the terms characteristic of school songs from the lyrics of 156 Japanese school songs. Then, we investigated how the number of years that had elapsed since graduation influenced the degrees of school-song-evoked nostalgic feelings through questionnaires. Finally, we conducted an experiment in which the participants were asked to rate the “school-songness” of the lyrics of four existing school songs as well as an “average school song” which we made using the terms extracted at the first stage of the study. The results show that the “average school song” ranks highest, which implies the properness of our model.
著者
田和辻 可昌 村松 慶一 松居 辰則
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.30, no.5, pp.626-638, 2015-09-01 (Released:2015-08-27)
参考文献数
20
被引用文献数
1

In the research field of Human-agent interaction, the uncanny valley is the crucial issue to realize co-existence of human and artificial agents. It is referred to as the phenomenon that human can feel repulsive against the agents whose appearance is considerably humanlike. There has been just theoretical based but not verifiable model providing an explanation for how it occurs. We hypothesized that when human observes that humanlike agent, s/he perceives it as both human and non-human, and the contradiction between the perceptions causes him or her to elicit negative response against it. We conducted the experiment where the participants were asked to judge whether face of agents or a person was depicted as that of a real person, with their eye tracked and their gaze direction estimated. The results indicated that observers had two-step information processing to the agent. Above all, we proposed a model generating the human negative response against humanlike agents, taking into consideration of the function of the brain regions such as amygdala, prefrontal cortex, hippocampus, and striatum. To verify the model, the transition of the emotional value (namely, positive or negative) was simulated on the basis of a qualitative description for the model. It is suggested that the model be proposed which is verifiable with many findings in the field of neuroscience.
著者
藤野 直輝 小島 一晃 田和辻 可昌 村松 慶一 松居 辰則
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会全国大会論文集 第29回 (2015)
巻号頁・発行日
pp.1D24, 2015 (Released:2018-07-30)

本研究では,テーマパークにおいて携帯情報端末を用いて混雑情報を取得することができる来場者の満足度を,マルチエージェントシミュレーションを用いてモデル化した.具体的には,期待不一致モデルをもとに,アトラクションに対する効用とアトラクションに並ぶ行列人数とのトレードオフの関係を考慮するようなモデルを構築した.その上で,来場者の満足度向上の観点からテーマパークにおける混雑情報の提供方法を検討する.
著者
田和辻 可昌 布川 絢子 山川 宏
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会全国大会論文集 第35回 (2021)
巻号頁・発行日
pp.2H1GS3a02, 2021 (Released:2021-06-14)

これまでオントロジカルAIにおいて機能を捉える枠組みは人工物をドメインとして提案されてきた.一方で,脳を参考にしたアーキテクチャを開発する上では,人工物のような合目的的な機能を設定するのではなく,自然物としての物理的構造に矛盾しない形で合目的的に機能を設定する必要がある.このような機能は一意に与えることができず,多元的にならざるを得ないという性質を有する.そこで本研究では,脳型アーキテクチャの構築を志向して,合目的的自然物における機能を多元的に解釈する枠組みに必要な概念を整理することを目的とする.本研究では,従来の関連する重要な概念として,David Marrの提唱した三つの水準を再考し,開発者と設計者間で合意が取れる概念の整理を試みた.この結果,David Marrの提案した三水準では,実質的ではあるものの機能的な観点と物理的な観点が未分化であり,またこの暗黙的な混同はソフトウェア開発一般における問題であることが明らかとなった.本研究の整理によって,脳型アーキテクチャの設計者・開発者間で合意が取れる概念が整理され,機能と構造を一貫した関係で捉えることが期待される.
著者
金今 直子 大山 直子 清水 万里江 坂東 誉子 田和辻 可昌 松居 辰則
出版者
日本感性工学会
雑誌
日本感性工学会論文誌 (ISSN:18845258)
巻号頁・発行日
vol.21, no.1, pp.123-133, 2022 (Released:2022-02-28)
参考文献数
25

In this study, we conducted an experiment that compared 27 schizophrenia patients and 29 healthy subjects in perception of emotions expressed by an NAO humanoid robot. We programmed the robot to express the eight basic emotions proposed by Plutchik (1984) which were anger, anticipation, expectation, joy, trust, fear, surprise, sadness, and disgust using Teshi et al. (2015)’s method of dynamically changing the robot’s eye color. We found a significant difference between the two groups of subjects in their judgements of the robot’s emotions. The results showed that the schizophrenic patients had difficulty in recognizing the robot’s emotions. In addition, the two groups showed different patterns of emotion misperceptions. The schizophrenic group’s misperceptions mistook positive and negative emotions. The misperception of schizophrenic patients may be caused by the similarity of colors and fast blinking cycles. We consider it resulting from the decline in information processing abilities of the schizophrenic patients.
著者
田和辻 可昌 荒川 直哉 山川 宏
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会第二種研究会資料 (ISSN:24365556)
巻号頁・発行日
vol.2021, no.SWO-055, pp.04, 2021-11-26 (Released:2022-01-12)

これまで様々な上位オントロジーが提案されてきたが,Dependent/Independent,Continuant/Occurrentの捉え方は上位オントロジー間で統一されていない.本研究では,これまで提案されてきた上位オントロジーの主要概念の依存関係の整理を行った.この結果,まずDependentとIndependentを区別した上で,IndependentをOccurrentとContinuantで区別することが必要であることが分かった.
著者
宮原 佐智子 田和辻 可昌 松居 辰則
出版者
Japan Society of Kansei Engineering
雑誌
日本感性工学会論文誌 (ISSN:18840833)
巻号頁・発行日
vol.16, no.1, pp.109-119, 2017 (Released:2017-02-24)
参考文献数
23

Many people have experienced that even long after their graduation, their school songs can still evoke nostalgia of their old school days. In this study, we proposed a psychological model of the generation mechanism underlying the school-song-evoked nostalgic feelings. Firstly, we extracted the terms characteristic of school songs from the lyrics of 156 Japanese school songs. Then, we investigated how the number of years that had elapsed since graduation influenced the degrees of school-song-evoked nostalgic feelings through questionnaires. Finally, we conducted an experiment in which the participants were asked to rate the “school-songness” of the lyrics of four existing school songs as well as an “average school song” which we made using the terms extracted at the first stage of the study. The results show that the “average school song” ranks highest, which implies the properness of our model.