文献一覧: 13447262 (ISSN) - Ceek.jp Altmetrics

1 0 0 0 OA プロジェクションマッピングを用いた基板製造作業支援システム

著者: 荒井観安川展之日野原誠木曽宏顕
出版者: ヒューマンインタフェース学会
雑誌: ヒューマンインタフェース学会論文誌 (ISSN:13447262)
巻号頁・発行日: vol.19, no.3, pp.271-282, 2017-08-25 (Released:2018-12-10)
参考文献数: 19

In this paper, we propose a support system for substrate manufacturing workers. This system provides operation instructions on and around a substrate with projection mapping. The purpose of this system is to enable workers to produce substrates faster and more precisely in a product line which many kinds of substrates are produced. The examples of projected instructions are kinds of parts, number of parts and positions to insert parts. The projected instructions from our system change with time. Workers are required to produce a substrate by following the changing instructions. This process is expected to provide easy and rhythmical instructions for achieving faster and more precise manufacturing. To evaluate our system, we have applied the system for six months under actual product circumstance in the factory. The results show that our system reduces 12% of production time without producing reject products. We believe that this is a valuable study case that shows the effects of superimposed information in an actual product line on a long term basis.

2018-12-13 21:42:44
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1 0 0 0 OA 歩行中の脳波に含まれるワークロード信号のブラインド信号源分離を用いた抽出

著者: 岩瀬悠哉成瀬康横田悠右梅原広明梅野健
出版者: ヒューマンインタフェース学会
雑誌: ヒューマンインタフェース学会論文誌 (ISSN:13447262)
巻号頁・発行日: vol.20, no.3, pp.353-360, 2018-08-25 (Released:2018-08-25)
参考文献数: 26

Recently wearable electroencephalography(EEG) device enables us to mea sure brain activities during moving. However, EEG data include noise caused by movement when participants move. Therefore, it is a significant problem to reduce the noise in order to measure brain activities during moving. In this paper, we focused on the workload estimation from auditory steady state response during walking. We compared the noise reduction performance of some kinds of blind source separation methods.

2018-08-25 17:59:54
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1 0 0 0 小型ロボットによる音声認識のための内部雑音抑圧法

著者: 伊藤彰則金山高志鈴木基之牧野正三
出版者: ヒュ-マンインタフェ-ス学会
雑誌: ヒューマンインタフェース学会論文誌 (ISSN:13447262)
巻号頁・発行日: vol.10, no.1, pp.1-10, 2008-02-25
参考文献数: 23

2018-07-21 21:33:18
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https://ci.nii.ac.jp/naid/10021063979

1 0 0 0 OA 知識統合型の協同学習における身体性を持つ教育エージェント:眼球運動測定を用いた助言と視線ジェスチャに関する実験的検討

著者: 林勇吾
出版者: ヒューマンインタフェース学会
雑誌: ヒューマンインタフェース学会論文誌 (ISSN:13447262)
巻号頁・発行日: vol.20, no.1, pp.79-88, 2018-02-25 (Released:2018-02-25)
参考文献数: 31

This study investigated how pedagogical conversational agents can facilitate learner-learner collaborative learning during a knowledge integration task. The study focused on how knowledge integration activity can be facilitated by using multiple Pedagogical Conversational Agents (PCAs). The current study investigated the effective design of the PCA using the modality such as using gaze gestures along with the verbal facilitation prompts. In a controlled experiment, dyads were accompanied by multiple PCAs programmed to facilitate explanation activities in a knowledge integrating task. Two eye-trackers were used to detect learning process of leaners who used different type of knowledge and perspective. The results show that learners who received facilitation from the PCAs about integrating different perspectives performed better on the task, and if they received gaze gestures, they tended to focus on the relationship of different knowledge as well. Additional results on eye-tracking analysis show that learners performed better when they focused at their partner ’s different knowledge after looking at the PCAs' gaze. These results provide new implications on designing learning support systems and shows how embodied information such as gaze gestures of PCAs may play an important role in collaborative learning.

2018-03-29 10:24:29
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1 0 0 0 OA 学習しやすさと作図の正確さを両立させるタブレット向けCADインターフェース

著者: 牧野晨三村充宮里勉
出版者: ヒューマンインタフェース学会
雑誌: ヒューマンインタフェース学会論文誌 (ISSN:13447262)
巻号頁・発行日: vol.19, no.4, pp.359-368, 2017-11-25 (Released:2017-12-27)
参考文献数: 9

Digital Fabrication has become familiar to ordinary people, but making data for digital tools such as a Laser cutter using CAD is difficult for beginners. We developed an easy to learn and accurate CAD interface for tablet “Drafter” based on stationary metaphor. We compared Drafter and present CADs by experiments consisting of both drawing part and questionnaire part. The drawing part showed that Drafter is easier to learn than present CADs, has the same accuracy as present CADs. The questionnaire part showed that Drafter has the same accuracy as present CADs, and is better at usability than present CADs.