Literature DB >> 25893865

PsyGlass: Capitalizing on Google Glass for naturalistic data collection.

Alexandra Paxton1, Kevin Rodriguez, Rick Dale.   

Abstract

As commercial technology moves further into wearable technologies, cognitive and psychological scientists can capitalize on these devices to facilitate naturalistic research designs while still maintaining strong experimental control. One such wearable technology is Google Glass (Google, Inc.: www.google.com/glass), which can present wearers with audio and visual stimuli while tracking a host of multimodal data. In this article, we introduce PsyGlass, a framework for incorporating Google Glass into experimental work that is freely available for download and community improvement over time (www.github.com/a-paxton/PsyGlass). As a proof of concept, we use this framework to investigate dual-task pressures on naturalistic interaction. The preliminary study demonstrates how designs from classic experimental psychology may be integrated in naturalistic interactive designs with emerging technologies. We close with a series of recommendations for using PsyGlass and a discussion of how wearable technology more broadly may contribute to new or adapted naturalistic research designs.

Mesh:

Year:  2015        PMID: 25893865     DOI: 10.3758/s13428-015-0586-z

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  3 in total

1.  Effect of attentional retraining on cognition, craving, and smoking in African American smokers.

Authors:  Cendrine D Robinson; Christine Muench; Emily Brede; Romano Endrighi; Edwin H Szeto; Joanna R Sells; John P Lammers; Kolawole S Okuyemi; Andrew J Waters
Journal:  Psychol Addict Behav       Date:  2017-06-19

2.  Interpersonal Movement Synchrony Responds to High- and Low-Level Conversational Constraints.

Authors:  Alexandra Paxton; Rick Dale
Journal:  Front Psychol       Date:  2017-07-28

3.  Using Google Glass in Nonsurgical Medical Settings: Systematic Review.

Authors:  Bryn Dougherty; Sherif M Badawy
Journal:  JMIR Mhealth Uhealth       Date:  2017-10-19       Impact factor: 4.773

  3 in total

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