LAFCam: Leveraging affective feedback camcorder
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Enriched Media-Experience of Sport Events
WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
Practical experience recording and indexing of Life Log video
CARPE '05 Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences
CHI '07 Extended Abstracts on Human Factors in Computing Systems
United-pulse: feeling your partner's pulse
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Biofeedback game design: using direct and indirect physiological control to enhance game interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding heart rate sharing: towards unpacking physiosocial space
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ExoBuilding: Physiologically Driven Adaptive Architecture
ACM Transactions on Computer-Human Interaction (TOCHI)
Front-camera video recordings as emotion responses to mobile photos shared within close-knit groups
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
HeartLink: open broadcast of live biometric data to social networks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
AffectCam: arousal- augmented sensecam for richer recall of episodic memories
CHI '13 Extended Abstracts on Human Factors in Computing Systems
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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.