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You Are Off The Beat!: Is Accelerometer Data Enough for Measuring Dance Rhythm?, , , and . MOCO, page 12:1-12:8. ACM, (2018)Scaffolding for an OLM for Long-Term Physical Activity Goals., and . UMAP, page 147-156. ACM, (2018)Personalising e-Learning Systems: Lessons Learned from a Vocational Education Case Study., and . UMAP Workshops, volume 1388 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Lifelong User Modeling and Meta-cognitive Scaffolding: Support Self Monitoring of Long Term Goals., and . UMAP Workshops, volume 997 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Towards a Long Term Model of Virtual Reality Exergame Exertion., , , , and . UMAP, page 247-255. ACM, (2017)A Life of Data: Characteristics and Challenges of Very Long Term Self-Tracking for Health and Wellness., , , , and . ACM Trans. Comput. Heal., 1 (2): 11:1-11:4 (2020)Daily & Hourly Adherence: Towards Understanding Activity Tracker Accuracy., , , , , and . CHI Extended Abstracts, page 3211-3218. ACM, (2016)Harnessing Long Term Physical Activity Data - How Long-term Trackers Use Data and How an Adherence-based Interface Supports New Insights., and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 1 (2): 26:1-26:28 (2017)Gamification: Metacognitive Scaffolding Towards Long Term Goals?, and . UMAP Workshops, volume 1181 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)