Lie Ming Tang
According to our database1,
Lie Ming Tang
authored at least 15 papers
between 2013 and 2020.
Collaborative distances:
Collaborative distances:
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Bibliography
2020
A Life of Data: Characteristics and Challenges of Very Long Term Self-Tracking for Health and Wellness.
ACM Trans. Comput. Heal., 2020
2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Proceedings of the 5th International Conference on Movement and Computing, 2018
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
2017
Harnessing Long Term Physical Activity Data - How Long-term Trackers Use Data and How an Adherence-based Interface Supports New Insights.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017
2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Personalising e-Learning Systems: Lessons Learned from a Vocational Education Case Study.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
2014
Proceedings of the Posters, 2014
2013
Lifelong User Modeling and Meta-cognitive Scaffolding: Support Self Monitoring of Long Term Goals.
Proceedings of the Late-Breaking Results, 2013