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. 2024 May 24;26:e54375. doi: 10.2196/54375

Table 2.

Summary of techniques in the habit formation process, challenges, and potential solutions.

Habit formation Challenges Potential solutions
Intention and action control
  • Most of the explicit techniques still rely on users’ attention and frequently interact with the device, which demands high initiative

  • Applying implicit techniques to reduce the demand for users’ attention and motivation

  • Identifying and defining unexpected events

  • Capturing contextualized data as historical records, which serve as a reference for identifying deviations from the norm or unusual data, enabling the inference of unexpected events

  • Providing coping planning to deal with unexpected events

  • To achieve predictions and tailored recommendations, it is necessary to capture not only common data such as weather, location, time, and activity but also users’ physiological data, emotions, social relationships, and other relevant data

Developing association between cues and behaviors
  • Low user response to pushing notification

  • Just-in-time adaptive interventions

  • The cue-behavior association is a fast, automatic, and subtle process

  • Establishing a stable repetition of implicit cues in the context, such as incorporating other types of cues and leveraging preexisting associations

Providing personalized response
  • Useful and meaningful data to enhance motivations and intentions to change behavior

  • Identifying the specific data points that hold significance for users and effectively predict users’ preferences is crucial for facilitating meaningful self-reflection and behavior change

Others
  • Data privacy

  • Developing effective techniques for tailored interventions and recommendations based on individuals’ preferences

  • Addressing the need to present transparent information to raise awareness of data privacy

  • Perceived inaccuracy

  • Improving sensor technology and processing algorithms to calibrate the accuracy of the tracking device

  • Transparency design methods that explain device abilities and limitations could enhance user trust and calibrate user expectations

  • Usability and comfort issues

  • Ideally, users should feel physically comfortable wearing and intuitive to use the device