Exer-model: A User Model for Scrutinising Long-term Models of Physical Activity from Multiple Sensors

被引：1

作者：

Yoo, Soojeong ^{[1
]}

Jung, Jisu ^{[1
]}

Paris, Cecile ^{[2
]}

Kummerfeld, Bob ^{[1
]}

Kay, Judy ^{[1
]}

机构：

[1] Univ Sydney, Sydney, NSW, Australia

[2] CSIRO Data61, Sydney, NSW, Australia

来源：

ADJUNCT PUBLICATION OF THE 27TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (ACM UMAP '19 ADJUNCT) | 2019年

关键词：

D O I：

10.1145/3314183.3324986

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A user model that is built from the data of multiple physical activity sensors has the potential to enable people to answer important questions about their long-term physical activity. Our work provides a way to do this for the case of exercise from virtual reality gaming and from incidental daily walking. Our approach is based two parts: 1) a carefully designed a user model ontology, Exer-model; 2) an interface for navigating the model and comparing components of the model. We evaluated the Exer-model ontology and the scrutiny interface in a study with 16 users: 8 viewing their own user models, from 8 weeks of their sensor data, and the other 8 scrutinising the model of a hypothetical user. Our core contributions are the insights about designing the ontologies and interfaces for scrutable user models from multiple physical activity sensors.

引用

页码：99 / 104

页数：6

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