| Paper Abstract and Keywords |
| Presentation |
2017-08-27 13:50
[Poster Presentation]
Estimation of user interface pattern using features in brain activity
Mami Kitabata, Yasuhiro Inazumi, Tadanobu Misawa, Yuukou Horita (Univ. of Toyama), Osamu Sugimoto, Sei Naito (KDDI Research, Inc.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Heretofore, a subjective evaluation was used for evaluating the usability of a user interface (UI) such as a smartphone. However, the subjective evaluation does not accurately reflect the user's deep psychology. Therefore, in this research, we focus on brain activity and aim to estimate the pattern of user interface (UI) from the features of brain activity. The UI pattern of this research is a radio button and a check box (all unchecked). In this study, we analyze the data obtained by brain activity measurement and extract features quantity. As an estimation method, SVM (support vector machine) is used. Estimated model was constructed with closed data. And, Estimation accuracy was conducted with open data. As a result, for all subjects, high accuracy was obtained with closed data. Also, for specific subjects, high estimation accuracy of 0.8 or more was obtained with open data. In the case of the subjects with high discrimination accuracy of open data, was following. With the check box (all unchecked) of the UI pattern, it was found that the peak time appeared between 3 to 6 seconds. Also, the slope of the linear approximation tended to decrease. On the other hand, with the radio button of the UI pattern, it was found that there was no fixed trend in the peak time and the slope of the linear approximation. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
NIRS(Near-InfraRed Spectroscopy) / usability / binary discrimination / User Interface(UI) / / / / |
| Reference Info. |
IEICE Tech. Rep. |
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| Conference Information |
| Committee |
CQ |
| Conference Date |
2017-08-26 - 2017-08-27 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nippon Institute of Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
The 2nd Communication Quality Student Workshop |
| Paper Information |
| Registration To |
CQ |
| Conference Code |
2017-08-CQ |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Estimation of user interface pattern using features in brain activity |
| Sub Title (in English) |
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| Keyword(1) |
NIRS(Near-InfraRed Spectroscopy) |
| Keyword(2) |
usability |
| Keyword(3) |
binary discrimination |
| Keyword(4) |
User Interface(UI) |
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| 1st Author's Name |
Mami Kitabata |
| 1st Author's Affiliation |
University of Toyama (Univ. of Toyama) |
| 2nd Author's Name |
Yasuhiro Inazumi |
| 2nd Author's Affiliation |
University of Toyama (Univ. of Toyama) |
| 3rd Author's Name |
Tadanobu Misawa |
| 3rd Author's Affiliation |
University of Toyama (Univ. of Toyama) |
| 4th Author's Name |
Yuukou Horita |
| 4th Author's Affiliation |
University of Toyama (Univ. of Toyama) |
| 5th Author's Name |
Osamu Sugimoto |
| 5th Author's Affiliation |
KDDI Research, Inc. (KDDI Research, Inc.) |
| 6th Author's Name |
Sei Naito |
| 6th Author's Affiliation |
KDDI Research, Inc. (KDDI Research, Inc.) |
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| Speaker |
Author-1 |
| Date Time |
2017-08-27 13:50:00 |
| Presentation Time |
60 minutes |
| Registration for |
CQ |
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