A Context-Assisted, Semi-Automated Activity Recall Interface Allowing Uncertainty.

ABSTRACT: Measuring activities and postures is an important area of research in ubiquitous computing, human-computer interaction, and personal health informatics. One approach that researchers use to collect large amounts of labeled data to develop models for activity recognition and measurement is asking participants to self-report their daily activities. Although participants can typically recall their sequence of daily activities, remembering the precise start and end times of each activity is significantly more challenging. ACAI is a novel, context-assisted ACtivity Annotation Interface that enables participants to efficiently label their activities by accepting or adjusting system-generated activity suggestions while explicitly expressing uncertainty about temporal boundari

SUBMITTER: LE HA 

PROVIDER: S-EPMC12758905 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature