kris geyer retrieving psychological relevant data from smartphones

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Retrieving psychologically important data from smartphones KRISTOFFER GEYER DR DAVID ELLIS

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Page 1: Kris Geyer retrieving psychological relevant data from smartphones

Retrieving psychologically important data from smartphonesKRISTOFFER GEYER

DR DAVID ELLIS

Page 2: Kris Geyer retrieving psychological relevant data from smartphones

Origin

Cattel (1958)Woodworths (1918)

Page 3: Kris Geyer retrieving psychological relevant data from smartphones

Emergence of assisting technology

Page 4: Kris Geyer retrieving psychological relevant data from smartphones

Smartphone research – utilizing location data85% accuracy of predicting bipolar patients symptoms (Palium, et al., 2017).

High accuracy in detecting social anxiety (Huang, et al., 2016).

Experience of sub-clinical depression (Saeb, et al., 2015, 2016).

92% accuracy in detecting deception (Sandham, et al., 2011).◦ Accuracy of deception expert is 55%

Page 5: Kris Geyer retrieving psychological relevant data from smartphones

Our applications – Parkinson Easton Getting LogFuse location, rigorous,

Movement Patter

Heat map

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Our applications – Usage logLogs:◦ Screen on

◦ Screen off

◦ Phone restarted

◦ User Present

Active use Passive use

Potentially problematic? Harmless?

Page 7: Kris Geyer retrieving psychological relevant data from smartphones

Death of smartphone location research…by Oreo

Page 8: Kris Geyer retrieving psychological relevant data from smartphones

Oreo rational & CharacteristicsAll apps want to know the contents of your purse & where you are

Changes:

1. All operations which are running in the background must be declared

2. Location will only be provided per app approximately once an hour

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Overcoming the OreoWorking with participants

Working with developers

Focusing on place not movements

Ultimately exciting time for psychologists and developers

Page 10: Kris Geyer retrieving psychological relevant data from smartphones

ReferencesHuang, Y., Xiong, H., Leach, K., Zhang, Y., Chow, P., Fua, K., ... & Barnes, L. E. (2016, September). Assessing social anxiety using GPS trajectories and point-of-interest data. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 898-903). ACM.

Palmius, N., Tsanas, A., Saunders, K. E. A., Bilderbeck, A. C., Geddes, J. R., Goodwin, G. M., & De Vos, M. (2017). Detecting bipolar depression from geographic location data. IEEE Transactions on Biomedical Engineering, 64(8), 1761-1771.

Woodworth, R. S. (1919). Examination of emotional fitness for war. Psychological Bulletin, 15, 59–60

Cattell, R. B. (1958). What is" objective" in" objective personality tests?". Journal of Counseling Psychology, 5(4), 285.

Saeb, S., Lattie, E. G., Schueller, S. M., Kording, K. P., & Mohr, D. C. (2016). The relationship between mobile phone location sensor data and depressive symptom severity. PeerJ, 4, e2537.

Saeb, S., Zhang, M., Karr, C. J., Schueller, S. M., Corden, M. E., Kording, K. P., & Mohr, D. C. (2015). Mobile phone sensor correlates of depressive symptom severity in daily-life behavior: an exploratory study. Journal of medical Internet research, 17(7).

Sandham, A., Ormerod, T., Dando, C., Bull, R., Jackson, M., & Goulding, J. (2011). Scent trails: Countering terrorism through informed surveillance. Engineering Psychology and Cognitive Ergonomics, 452-460.