一款基于行为改变框架的用于心力衰竭自我护理的传感器控制数字游戏。

Radhakrishnan Kavita, DeMain Atami Sagna, Julien Christine, Leggio Katelyn, O'Hair Matthew, Hebért Arsers Emily T, Lee Grace, Baranowski Tom

School of Nursing, The University of Texas-Austin, Austin, USA.

Cockrell School of Engineering, The University of Texas-Austin, Austin, USA.

SeGAH IEEE Int Conf Serious Games Appl Health. 2022 Aug;2022. doi: 10.1109/segah54908.2022.9978594. Epub 2022 Dec 19.

Self-care behaviors are critical to manage the adverse impact of heart failure disease. However, engaging in self-care behaviors such as physical activity or daily weight-monitoring can be difficult due to lack of knowledge or motivation. Digital games can serve as an alternative to traditional patient education to provide information and motivate engagement in critical self-care behaviors. In this paper, we describe a sensor-controlled digital game (SCDG) in which game play is driven by the player's real life self-care behaviors. We also present the design and development of the next iteration of the SCDG based on playtesting results and behavioral theoretical frameworks.

自我护理行为对于应对心力衰竭疾病的不良影响至关重要。然而，由于缺乏相关知识或动力，进行诸如体育活动或每日体重监测等自我护理行为可能会很困难。数字游戏可以作为传统患者教育的替代方式，以提供信息并激励患者参与关键的自我护理行为。在本文中，我们描述了一种传感器控制的数字游戏（SCDG），其游戏玩法由玩家的现实生活自我护理行为驱动。我们还基于游戏测试结果和行为理论框架展示了SCDG下一代版本的设计与开发。