Survey based User Behavior Studies - chenyang03/Reading GitHub Wiki

  • {Lindqvist11} Janne Lindqvist, Justin Cranshaw, Jason Wiese, Jason Hong, and John Zimmerman. I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application. Proc. of ACM CHI, 2011.
  • {Liu11} Yabing Liu, Krishna P. Gummadi, Balachander Krishnamurthy, and Alan Mislove. Analyzing facebook privacy settings: user expectations vs. reality. Proc. of ACM IMC, 2011. 36% of content remains shared with the default privacy settings; overall, privacy settings match users' expectations only 37% of the time, and when incorrect, almost always expose content to more users than expected.
  • {Wang15} Rui Wang, Gabriella Harari, Peilin Hao, Xia Zhou, and Andrew T. Campbell. SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students. Proc. of ACM UbiComp, 2015.
  • {Bilogrevic15} I. Bilogrevic, K. Huguenin, S. Mihaila, R. Shokri and J.-P. Hubaux, Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms, Network and Distributed System Security (NDSS), 2015. privacy and utility
  • {Xu16} Runhua Xu, Remo Manuel Frey, Elgar Fleischa, Alexander Ilic. Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study. Computers in Human Behavior, 2016, 62:244-256.
  • {Fiesler17} Casey Fiesler, Michaelanne Dye, Jessica L. Feuston, Chaya Hiruncharoenvate, C.J. Hutto, Shannon Morrison, Parisa Khanipour Roshan, Umashanthi Pavalanathan, Amy S. Bruckman, Munmun De Choudhury, and Eric Gilbert. What (or Who) Is Public?: Privacy Settings and Social Media Content Sharing. Proc. of ACM CSCW, 2017.
  • {Servia-Rodríguez17} Sandra Servia-Rodríguez, Kiran K. Rachuri, Cecilia Mascolo, Peter J. Rentfrow, Neal Lathia, Gillian M. Sandstrom. Mobile Sensing at the Service of Mental Well-being: a Large-scale Longitudinal Study. Proc. of WWW, 2017. use physical and software sensors in smartphones to au- tomatically and accurately identify routines; strong correlation between these routines and users’ personality, well-being perception, and other psychological variables.
  • {Zell18} Zell A L and Moeller L. Are you happy for me… on Facebook? The potential importance of "likes" and comments[J]. Computers in Human Behavior, 2018, 78: 26-33.