scholarly journals Will They Share? Predicting Location Sharing Behaviors of Smartphone Users through Self-Reflection on Past Privacy Behaviors

Author(s):  
Muhammad Irtaza Safi ◽  
Abhiditya Jha ◽  
Makak Eihab Aly ◽  
Xinru Page ◽  
Sameer Patil ◽  
...  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Pamela Wisniewski ◽  
Muhammad Irtaza Safi ◽  
Sameer Patil ◽  
Xinru Page

Abstract Smartphone location sharing is a particularly sensitive type of information disclosure that has implications for users’ digital privacy and security as well as their physical safety. To understand and predict location disclosure behavior, we developed an Android app that scraped metadata from users’ phones, asked them to grant the location-sharing permission to the app, and administered a survey. We compared the effectiveness of using self-report measures commonly used in the social sciences, behavioral data collected from users’ mobile phones, and a new type of measure that we developed, representing a hybrid of self-report and behavioral data to contextualize users’ attitudes toward their past location-sharing behaviors. This new type of measure is based on a reflective learning paradigm where individuals reflect on past behavior to inform future behavior. Based on data from 380 Android smartphone users, we found that the best predictors of whether participants granted the location-sharing permission to our app were: behavioral intention to share information with apps, the “FYI” communication style, and one of our new hybrid measures asking users whether they were comfortable sharing location with apps currently installed on their smartphones. Our novel, hybrid construct of self-reflection on past behavior significantly improves predictive power and shows the importance of combining social science and computational science approaches for improving the prediction of users’ privacy behaviors. Further, when assessing the construct validity of the Behavioral Intention construct drawn from previous location-sharing research, our data showed a clear distinction between two different types of Behavioral Intention: self-reported intention to use mobile apps versus the intention to share information with these apps. This finding suggests that users desire the ability to use mobile apps without being required to share sensitive information, such as their location. These results have important implications for cybersecurity research and system design to meet users’ location-sharing privacy needs.


2010 ◽  
Vol 20 (2) ◽  
pp. 64-70 ◽  
Author(s):  
Mary Pat McCarthy

This article details the process of self-reflection applied to the use of traditional performance indicator questionnaires. The study followed eight speech-language pathology graduate students enrolled in clinical practicum in the university, school, and healthcare settings over a period of two semesters. Results indicated when reflection was focused on students' own clinical skills, modifications to practice were implemented. Results further concluded self-assessment using performance indicators paired with written reflections can be a viable form of instruction in clinical education.


2014 ◽  
Author(s):  
Miho Nakajima ◽  
Keisuke Takano ◽  
Takashi Oguchi ◽  
Yoshihiko Tanno
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