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Abstract

Based on the expanding usage of smartphones as the platform for computer applications, this paper addresses the information asymmetry between personal and factual observations that inform a decision-making process. The purpose of this paper is to propose a model to help self-guided behavioral change based on collection of personal information. A mobile application exemplifies self-guiding behavioral change through the collection of daily quantitative data and the retrieval of descriptive statistics during decision-making.

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Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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Self-Guiding Behavior Change using a Mobile App

Based on the expanding usage of smartphones as the platform for computer applications, this paper addresses the information asymmetry between personal and factual observations that inform a decision-making process. The purpose of this paper is to propose a model to help self-guided behavioral change based on collection of personal information. A mobile application exemplifies self-guiding behavioral change through the collection of daily quantitative data and the retrieval of descriptive statistics during decision-making.

 

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