MPTrain: a mobile, music and physiology-based personal trainer
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
txt 4 l8r: lowering the burden for diary studies under mobile conditions
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Activity sensing in the wild: a field trial of ubifit garden
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Multimodal Interaction: Real Context Studies on Mobile Digital Artefacts
HAID '08 Proceedings of the 3rd international workshop on Haptic and Audio Interaction Design
Maintaining levels of activity using a haptic personal training application
CHI '10 Extended Abstracts on Human Factors in Computing Systems
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This paper describes an evaluation of a mobile exertion application, developed to promote physical activity among adult users. To extend previous work, we aimed to identify changes in walking behavior over time, and to determine the efficacy of non-visual cues presented via the phone. Data was gathered using three methods: automated logging, participant-maintained diaries and interviews. Findings revealed that participants were able to respond most effectively to multimodal icons to modify their pace over a two week period. However, their preferences were noted to change depending on the situational context. The study has also highlighted the complexities associated with data collection techniques for mobile evaluations.