PDF(Pubmed)
Abstract：
UNASSIGNED: Electronic health (eHealth) has been widely adopted in chronic disease management. Prior studies focused on time-based reminders as a cue to facilitate behavior change intentions, ignoring the development of automatic cue-behavior associations via other cue types.
UNASSIGNED: Hence, this study utilized avatar appearance as a visual-based cue to help establish the automatic association between appearance transformation and health behavior to form habits without intention.
UNASSIGNED: To better understand users\' attitudes and experiences toward applying changes in avatar appearance to develop cue-behavior associations for hypertensive patients. Fifteen participants were recruited in a 14-day experiment. After excluding one participant who dropped out of the experiment, others were randomly assigned to two groups. One group consisted of a visual-based cue (a virtual plant) and basic behavior change techniques (BCTs). The other group only included basic BCTs. Attitudes and experience outcomes were collected by interview, and qualitative data were analyzed using thematic analysis.
UNASSIGNED: 57% of participants had been diagnosed with hypertension for more than five years, and more than 50% of participants have experience using mobile apps or wearables. 66% of participants did physical activity more than three times every week. The result shows that tailored time-based reminders, blood pressure monitoring, and daily dietary intake were the most attractive features. Additionally, hypertensive participants have positive attitudes toward avatar appearance as a visual-based cue to develop cue-behavior association, which enhances self-management motivation.
UNASSIGNED: This study proposes a visual-based cue design for habit formation and conducts a qualitative method to explore hypertensive patients\' perceptions. The findings offer insights from user\'s perspectives into hypertensive patients\' attitudes toward visual-based cues and perception of the connection between avatar appearance and health behavior for self-management. Subsequent discussions present eHealth design guidelines of habit formation from intention, automatic cue-behavior association, and self-management perspectives.
UNASSIGNED: Hence, this study utilized avatar appearance as a visual-based cue to help establish the automatic association between appearance transformation and health behavior to form habits without intention.
UNASSIGNED: To better understand users\' attitudes and experiences toward applying changes in avatar appearance to develop cue-behavior associations for hypertensive patients. Fifteen participants were recruited in a 14-day experiment. After excluding one participant who dropped out of the experiment, others were randomly assigned to two groups. One group consisted of a visual-based cue (a virtual plant) and basic behavior change techniques (BCTs). The other group only included basic BCTs. Attitudes and experience outcomes were collected by interview, and qualitative data were analyzed using thematic analysis.
UNASSIGNED: 57% of participants had been diagnosed with hypertension for more than five years, and more than 50% of participants have experience using mobile apps or wearables. 66% of participants did physical activity more than three times every week. The result shows that tailored time-based reminders, blood pressure monitoring, and daily dietary intake were the most attractive features. Additionally, hypertensive participants have positive attitudes toward avatar appearance as a visual-based cue to develop cue-behavior association, which enhances self-management motivation.
UNASSIGNED: This study proposes a visual-based cue design for habit formation and conducts a qualitative method to explore hypertensive patients\' perceptions. The findings offer insights from user\'s perspectives into hypertensive patients\' attitudes toward visual-based cues and perception of the connection between avatar appearance and health behavior for self-management. Subsequent discussions present eHealth design guidelines of habit formation from intention, automatic cue-behavior association, and self-management perspectives.
摘要：
■电子健康（eHealth）已广泛用于慢性病管理。先前的研究集中在基于时间的提醒上，作为促进行为改变意图的线索，忽略了通过其他线索类型的自动线索-行为关联的发展。
■因此，这项研究利用化身外观作为基于视觉的提示，以帮助建立外观转换和健康行为之间的自动关联，以形成无意的习惯。
■为了更好地了解用户对应用化身外观变化以发展高血压患者的提示行为关联的态度和经验。在14天的实验中招募了15名参与者。在排除了一名退出实验的参与者之后，其他人被随机分为两组.一组由基于视觉的提示（虚拟植物）和基本行为改变技术（BCT）组成。另一组仅包括基础BCT。态度和经验结果是通过访谈收集的，定性数据采用专题分析法进行分析。
■57％的参与者被诊断患有高血压超过五年，超过50%的参与者有使用移动应用程序或可穿戴设备的经验。66％的参与者每周进行3次以上的体育锻炼。结果表明，定制的基于时间的提醒，血压监测,每日饮食摄入量是最有吸引力的特征。此外,高血压参与者对化身外观持积极态度，作为一种基于视觉的线索来发展线索-行为关联，这增强了自我管理的动机。
■这项研究提出了一种基于视觉的习惯形成线索设计，并进行了一种定性方法来探索高血压患者的感知。这些发现提供了从用户角度对高血压患者对基于视觉的线索的态度以及对化身外观与健康行为之间的联系进行自我管理的感知的见解。随后的讨论提出了从意图形成习惯的电子健康设计指南，自动提示-行为关联，和自我管理的观点。
■因此，这项研究利用化身外观作为基于视觉的提示，以帮助建立外观转换和健康行为之间的自动关联，以形成无意的习惯。
■为了更好地了解用户对应用化身外观变化以发展高血压患者的提示行为关联的态度和经验。在14天的实验中招募了15名参与者。在排除了一名退出实验的参与者之后，其他人被随机分为两组.一组由基于视觉的提示（虚拟植物）和基本行为改变技术（BCT）组成。另一组仅包括基础BCT。态度和经验结果是通过访谈收集的，定性数据采用专题分析法进行分析。
■57％的参与者被诊断患有高血压超过五年，超过50%的参与者有使用移动应用程序或可穿戴设备的经验。66％的参与者每周进行3次以上的体育锻炼。结果表明，定制的基于时间的提醒，血压监测,每日饮食摄入量是最有吸引力的特征。此外,高血压参与者对化身外观持积极态度，作为一种基于视觉的线索来发展线索-行为关联，这增强了自我管理的动机。
■这项研究提出了一种基于视觉的习惯形成线索设计，并进行了一种定性方法来探索高血压患者的感知。这些发现提供了从用户角度对高血压患者对基于视觉的线索的态度以及对化身外观与健康行为之间的联系进行自我管理的感知的见解。随后的讨论提出了从意图形成习惯的电子健康设计指南，自动提示-行为关联，和自我管理的观点。
