Smartwatch Science Stories Dataset
Overview
This dataset is a collection of 547 'stories' captured by children, aged 8 to 11, of how different science concepts are reflected in their everyday activities as part of the NSF-funded Lived Science Narratives project. The snippets were captured through oral recording on a smartwatch that the children wore throughout the duration of the study, and were then later transcribed. Collection of the dataset took place over 3 separate, but comparable, user studies with children from years 2016 to 2018.
Related Publications
Garcia, B., Nam, B. and Chu, S. L. (2019). Effects of Prompts on In-Situ Science Reflection on Smartwatches. In Proceedings of the 17th IFIP TC.13 International Conference on Human-Computer Interaction, INTERACT 2019. Paphos, Cyprus.
Chu, S. L., Garcia, B. and Nam, B. (2019). Understanding Context in Children’s Use of Smartwatches for Everyday Science Reflections. In Proceedings of the International Conference on Interaction Design & Children (IDC ’19). Boise, ID. ACM.
Garcia, B., Chu, S. L., Nam, B. and Banigan, C. (2018). Wearables for Learning: Examining the Smartwatch as a Tool for Situated Science Reflection. In Proceedings of the International Conference on Human Factors in Computing Systems (CHI 2018). ACM. Montreal, Canada.
Chu, S. L., Garcia, B. and Nam, B. (2018). The Smartwatch as a Situated Reflection Tool for Everyday Science. In Proceedings of the American Educational Research Association (AERA) Annual Meeting. New York City, NY.
Chu, S. L. and Garcia, B. (2017). Toward Wearable App Design for Children’s In-the-World Science Inquiry. In Proceedings of the 11th International Conference on Tangible, Embedded and Embodied Interaction (TEI '17). Yokohama, Japan. ACM.
Dataset
The dataset can be downloaded here: Smartwatch Science Stories Dataset
The key for the dataset can be downloaded here: KEY
Notes: (1) All children's identifiers have been removed from the dataset to preserve anonymity; (2) The dataset has been cleaned, i.e., recordings that were blank or did not contain significant content were excluded; (3) Part of a recording that could not be understood as indicated in the transcript as [inaudible].
Acknowledgment for Dataset Use
If you use the dataset, please add an acknowledgment where appropriate as follows:
[Your product, e.g., These results, This visualization, etc.] are [in whole or in part] based on data obtained from the Smartwatch Science Stories Dataset at https://www.cise.ufl.edu/~slchu/sciencestories-dataset.html
We would also greatly appreciate if you can let us know through the email below if you use the dataset for any purpose!