Missing Data and Other Measurement Quality Issues in Mobile Geolocation Sensor Data
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Frauke Kreuter | Florian Keusch | Georg-Christoph Haas | Mark Trappmann | Sebastian Bähr | F. Kreuter | Florian Keusch | Mark Trappmann | G. Haas | Sebastian Bähr
[1] E. Hargittai. Potential Biases in Big Data: Omitted Voices on Social Media , 2018, Social Science Computer Review.
[2] S. Rauch,et al. Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health , 2016, Neuropsychopharmacology.
[3] Abhishek Agrawal,et al. What is eating up battery life on my SmartPhone: A case study , 2012, 2012 International Conference on Energy Aware Computing.
[4] Kristine Dery,et al. Engaged or just connected? Smartphones and employee engagement , 2012 .
[5] P. Zandbergen. Geocoding Quality and Implications for Spatial Analysis , 2009 .
[6] Jorge Gonçalves,et al. Monetary Assessment of Battery Life on Smartphones , 2016, CHI.
[7] A. Jäckle,et al. Participation in a mobile app survey to collect expenditure data as part of a large-scale probability household panel: coverage and participation rates and biases , 2019 .
[8] Mikkel Baun Kjærgaard,et al. Indoor Positioning Using GPS Revisited , 2010, Pervasive.
[9] R. Breen,et al. Interpreting and Understanding Logits, Probits, and Other Nonlinear Probability Models , 2018, Annual Review of Sociology.
[10] Mark Trappmann,et al. Data Resource Profile: Panel Study Labour Market and Social Security (PASS) , 2019, International journal of epidemiology.
[11] Gabriella M. Harari,et al. Smartphone sensing methods for studying behavior in everyday life , 2017, Current Opinion in Behavioral Sciences.
[12] Naciye Güliz Uğur,et al. Time for Digital Detox: Misuse Of Mobile Technology And Phubbing , 2015 .
[13] Mikkel Baun Kjærgaard,et al. Sensing and Classifying Impairments of GPS Reception on Mobile Devices , 2011, Pervasive.
[14] Joshua D. Angrist,et al. Mostly Harmless Econometrics: An Empiricist's Companion , 2008 .
[15] Eduardo Casilari-Pérez,et al. Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection with Supervised Learning , 2018, Sensors.
[16] Denzil Ferreira,et al. Understanding Human-Smartphone Concerns: A Study of Battery Life , 2011, Pervasive.
[17] Barry Smyth,et al. Uncovering Measurements of Social and Demographic Behavior From Smartphone Location Data , 2013, IEEE Transactions on Human-Machine Systems.
[18] Earl Oliver,et al. The challenges in large-scale smartphone user studies , 2010, HotPlanet '10.
[19] Wei Le,et al. A comparison of energy bugs for smartphone platforms , 2013, 2013 1st International Workshop on the Engineering of Mobile-Enabled Systems (MOBS).
[20] Mika Raento,et al. Smartphones , 2009 .
[21] Christian Kray,et al. Location Information Quality: A Review , 2018, Sensors.
[22] Paul Gardner-Stephen,et al. Smart-phone battery-life short-fall in disaster response: Quantifying the gap , 2016, 2016 IEEE Global Humanitarian Technology Conference (GHTC).
[23] V. Toepoel,et al. Doing a Time Use Survey on Smartphones Only: What Factors Predict Nonresponse at Different Stages of the Survey Process? , 2019 .
[24] F. Kreuter,et al. Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent , 2020, Social Science Computer Review.
[25] Fanglin Chen,et al. Unobtrusive sleep monitoring using smartphones , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.
[26] Frederick G. Conrad,et al. Simultaneous Estimation of Multiple Sources of Error in a Smartphone-Based Survey , 2019 .
[27] Sasu Tarkoma,et al. Where Has My Battery Gone?: A Novel Crowdsourced Solution for Characterizing Energy Consumption , 2016, IEEE Pervasive Computing.
[28] Naomi F. Sugie,et al. Utilizing Smartphones to Study Disadvantaged and Hard-to-Reach Groups , 2018 .