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Yoji Hirose

dblp:132/5887 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 62% Immersive interaction · 19% Wearable and physiological sensing · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › cognitive support
memory support
0.112005
iFlashBack: A Wearable Electronic Mnemonics to Retain Episodic Memory Visually Real by Video Aided Rehearsal · VR 2005
Immersive interaction
head-mounted display
0.012005
iFlashBack: A Wearable Electronic Mnemonics to Retain Episodic Memory Visually Real by Video Aided Rehearsal · VR 2005
Wearable and physiological sensing
wearable display
0.012005
iFlashBack: A Wearable Electronic Mnemonics to Retain Episodic Memory Visually Real by Video Aided Rehearsal · VR 2005

Methods — techniques the papers use, named apart from their topics

user study · 0.1posture sensing · 0.1RFID sensing · 0.1
YearPublicationVenuePosition
2005 iFlashBack: A Wearable Electronic Mnemonics to Retain Episodic Memory Visually Real by Video Aided Rehearsal
abstract
This paper describes a wearable electronic mnemonics, the iFlashBack system that promotes human memorization process for the action the user performed in the real-world. The goal of the system is to exploit unlimited capacity of the human brain for storing the variety of information, by assisting memorization using recorded video and related information captured during interaction process to real-world objects. Memorization reinforcement is achieved by drawing attention, promoting rehearsal by flashing a video of interaction, and organizing memory by providing relevant information. The action of the user is captured by a cap-mounted miniature camera, an RFID reader, and arm posture sensors worn by the user. For video-aided rehearsal, a small HMD presents the captured scenes immediately after the user's interaction behavior and/or at appropriate times in the user's activity. We conducted basic experiments to demonstrate our idea. Two memory tasks - to change cup positions within grids and to memorize random dot images - were performed by subjects. The results suggested that the iFlashBack system could reinforce memorization of the user's action by motion-controlled video aided rehearsal.
Yoji Hirose, Yasushi Ikei, Koichi Hirota, Michitaka Hirose
VR1