Sonic Research enables researchers and individuals to use scientifically validated tasks on an iPhone or Android devices. sleep-2-Peak is designed to measure fatigue and alertness. Mind Metrics has a cognitive battery that includes measures of working memory, vigilance, spatial working memory, visual perception, and task switching. All data is exportable in its raw format and the type and duration of the tasks can be set by the user.

sleep-2-Peak Reaction Time


This tool allows you to discover what sleep schedule and what periods of the day are associated to your peak mental and physical state. By using sleep-2-Peak, you will become aware of alertness variations beyond what you can feel and you will discover how powerful your schedule choices can be to boost your performances naturally. This task uses a variation of the psychomotor vigilance tasks that has been validated by scientific research.

Mind Metrics

Simple games that are proven to measure your alertness system and higher level cognitive abilties. The tasks include: the psychomotor vigilance task, N-Back tasks, and combined N-Back and vigilance tasks. These tasks can measure working memory, vigilance, spatial working memory, visual perception, and task switching.

Google Scholar Citation Index

Journal Articles

Brunet, J. F., Dagenais, D., Therrien, M., Gartenberg, D., & Forest, G. (accepted). Validation of sleep-2-Peak: A smartphone application that can detect fatigue-related changes in reaction times during sleep deprivation. Behavior Research Methods. PDF

Youmans, R. J., Smith, M. A., Gartenberg, D., Sarbone, B., Liu, S., Higgins, J., Lee, P., Penaranda, N., & Liu, S. (2014). FleetTM: A distributed information gathering and processing system for the alleviation of commercial air travel anxiety. The Journal of Air Traffic Control, 56, 1, 32-38. PDF

Breslow, L., Gartenberg, D., McCurry, M., & Trafton, J. G. (2014). Dynamic Operator Overload: A model for predicting workload during supervisory control. IEEE Transactions on Human-Machine Systems, 44, 1, 30-40. PDF

Gartenberg, D., & Thornton, R., Mortazavi, M., Pfannenstiel, D., Taylor, D., & Parasuraman, R. (2013). Collecting health-related data on the smart phone: mental models, cost of collection, and perceived benefit of feedback. Pers Ubiquit Comput, 17, 3, 561-570. PDF

Dissertation

Gartenberg, D. (2016). A Comprehensive Computational Model of Sustained Attention (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses. Advisor: Greg Trafton, Committee: Glenn Gunzelmann, Tyler Shaw, & Patrick McKnight.PDF

Conferences, Chapters, and Posters

Brunet, J., Therrien, M., Hebert, K., Tzivanapoulos, N., Gartenberg, D., & Forest, G (2015). Greater decline in reaction time performance on a smartphone application during sleep deprivation is linked to extraversion.In Proceedings of the 29th annual meeting of the Associated Professional Sleep Societies.   

Gartenberg, D., Gunzelmann, G., Veksler, B., & Trafton, J. G. (2015). Improving vigilance analysis methodology: Questioning the successive versus simultaneous distinction. In Proceedings of 59th annual meeting of the Human Factors and Ergonomics Society.      

Brunet, J., Therrien, M., Gartenberg, D., & Forest, G (2014). Validation of a smartphone psychomotor vigilance application: Preliminary Data. In Proceedings of the 28th annual meeting of the Associated Professional Sleep Societies.   

Gartenberg, D., Veksler, B., Gunzelmann, G., & Trafton, J. G. (2014). An ACT-R process model of the signal duration phenomenon of vigilance. In Proceedings of 58th annual meeting of the Human Factors and Ergonomics Society.   PDF

Youmans, R. J., Smith, M. A., Gartenberg, D., Liu, S., Higgins, J., Penaranda, N., & Sarbone, B. (2013). FleetTM: A Distributed Information Gathering and Processing System for the Alleviation of Commercial Air Travel Anxiety. Proceedings of the 58th Air Traffic Control Association’s Annual Conference & Exposition, Washington, DC.   PDF

Khemlani, S., Gartenberg, D., Park, K.H., & Trafton, J.G. (2013). Uncertainty can increase explanatory credibility. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 2692-2697). Austin, TX: Cognitive Science Society.

Gartenberg, D., Breslow, L., Park, J., McCurry, M., & Trafton, J. G. (2013). Adaptive Automation and cue invocation: The effect of cue timing on operator error. Proceedings of Computer Human Interaction (CHI) 2013.   PDF  video

Therrien, M., Hebert, M., Gartenberg, D., De Koninck, J., & Forest, G (2013). Awareness of reaction time variations with sleep schedule measured on a smartphone can improve sleep habits and performance. In Proceedings of the 27th annual meeting of the Associated Professional Sleep Societies.   

Hebert, M., Gartenberg, D., De Koninck, J., & Forest, G, Therrien, M. (2013). Alertness measured by average reaction time on a smartphone predicts physical performance. In Proceedings of the 27th annual meeting of the Associated Professional Sleep Societies.   

Gartenberg, D., Forest, G., & Therrien, M. (2012). A smartphone PVT application is successfully used to identify one’s sleep schedule associated with better daytime alertness. Associated Professional Sleep Societies.     

Therrien, M., Hebert, M., Gartenberg, D., De Koninck, J., & Forest, G (2012). High correlation and predictive value between alertness measured by reaction time and physical performance. Associated Professional Sleep Societies.     

Eisert, J., Gartenberg, D., Thornton, R., & Youmans, R. (2012). Optimal interface location and limits of gesture proficiency in an automobile. In Proceedings of 56th annual meeting of the Human Factors and Ergonomics Society.

Gartenberg, D. McGarry, R., Phannenstiel, D., Cisler, D., Shaw, T., & Parasuraman, R. (2012). Development and evaluation of a neuroergonomic smart phone application to assess vigilance and arousal. 4th International Conference on Applied Human Factors and Ergonomics.     

Gartenberg, D. & Parasuraman, R. (2010). Understanding Brain Arousal and Sleep Quality Using a Neuroergonomic Smart Phone Application. In Marek, T., Karwowski, W., & Rice, V. (Eds.), Advances in Understanding Human Performance, 3rd International Conference on Applied Human Factors and Ergonomics (pp. 210-220).     PDF

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