HappyFit: Time-aware Visualization for Daily Physical Activity and Virtual Reality Games

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI:10.1145/3099023.3099102

Soojeong Yoo, Lichen Xue, J. Kay

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引用次数: 3

Abstract

Virtual reality exergames have been demonstrated to provide high levels of exertion compared to traditional exercise, while players perceive less exertion. However, it is hard for people to be confident of whether they get the recommended levels of exercise. In this work, we present the "HappyFit" aesthetic interface that has been designed to be a pleasing ambient display that enables people to see their long-term user model of physical activity. The user model interface has been particularly designed to distinguish the source of the exercise and the user model is inferred from combinations of sensor data from worn devices that track steps and heart-rate. We show how "HappyFit" enables a person to gain an overview of the relative contributions of their exercise from both walking in daily life and playing virtual reality exergames. Our core contribution is the exploration of how to harness long term sensor data to build user models with aesthetic user interfaces that enable people to review and reflect on their physical activity.

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HappyFit:时间意识可视化的日常体育活动和虚拟现实游戏

与传统运动相比，虚拟现实运动游戏已经被证明可以提供高水平的运动，而玩家却感觉不那么费力。然而，人们很难确定自己是否达到了建议的运动量。在这项工作中，我们展示了“HappyFit”美学界面，它被设计成一个令人愉悦的环境显示，使人们能够看到他们长期的身体活动用户模型。用户模型界面经过特别设计，以区分运动的来源，用户模型是从跟踪步数和心率的穿戴设备的传感器数据组合中推断出来的。我们展示了“HappyFit”如何让一个人从日常生活中散步和玩虚拟现实运动游戏中获得锻炼的相对贡献的概述。我们的核心贡献是探索如何利用长期传感器数据来构建具有美学用户界面的用户模型，使人们能够回顾和反思他们的身体活动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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