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| Content Provider | ACM Digital Library |
|---|---|
| Author | Munekata, Nagisa Shirokura, Takumi Ono, Tetsuo |
| Abstract | In recent years, devices such as smartphones have made it increasingly easier for people to capture videos and then share those videos on Social Networking Services. Shared videos are able of representing almost all emotional experiences, such as interest, astonishment and excitement. However, it is difficult for people who have little knowledge concerning professional video shooting to express these experiences using only video. To address this issue, we developed AffectiView -- a mobile video camera application that captures users' affective responses while they are capturing videos, and also provides a way for sharing that data with other users. In this System, affective responses are measured using physiological proxies. We have organized into three styles the representation of physiological signals between users found in prior works. This system provides video shooters' emotional experiences to viewers by applying each of these three styles to the captured video. A preliminary user study has revealed the positive effects of capturing and sharing physiological signals together with video. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450326483 |
| DOI | 10.1145/2541831.2541855 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-12-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Affective computing Skin conductance level Physiological computing Mobile video experience |
| Content Type | Text |
| Resource Type | Article |
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