A formative study for record-time manual annotation of first-person videos

Abstract

To efficiently edit first-person videos, manually highlighting important scenes while recording is helpful. However, little study has been performed on how such annotation contributes to video editing and affects user behavior during recording. To elicit fundamental requirements for designing useful record-time annotation techniques, we conducted a study using a set of prototype wearable camera system and a video editing interface that enables users to annotate scenes during recording. We asked participants to perform video recording and editing tasks with two different interface settings. We observed that the participants edited videos more efficiently with detailed annotation techniques, whereas focussing on annotating scenes affected their record-time behavior. We conclude the paper with the design guidelines developed from the findings.