Estimating Cognitive Performance Changes Based on Psychophysiological Sensor in the Smartphone: A Proposed Model

In the last few years, the approach to introducing cognitive performance automatically gained significant scientific interest. Likewise, cognitive performance observation research using the method of collecting the results of objective measurements that occur in everyday life. Today almost everyone has a smartphone, and they have become partners in living their daily lives. The smartphone has been equipped with various kinds of sensors to facilitate its use and for its full features. The existence of sensors on a smartphone is also the potential to be used to obtain information and the user’s situation for a long time and does not disturb the user. Therefore, research using smartphone sensing provides research opportunities in the field of psychology, especially for observing the cognitive performance of users. This study aimed to investigate the possibility of using smartphones as a medium to detect cognitive performance in general outside laboratory conditions.

[1]  Hugo Gamboa,et al.  Real-Time Approach to HRV Analysis , 2018, BIOSIGNALS.

[2]  Fang Chen,et al.  Galvanic skin response (GSR) as an index of cognitive load , 2007, CHI Extended Abstracts.

[3]  Angel Jiménez Molina,et al.  Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing , 2018, Sensors.

[4]  István Vassányi,et al.  Stress Detection Using Low Cost Heart Rate Sensors , 2016, Journal of healthcare engineering.

[5]  Edo Richard,et al.  Cognitive Testing in People at Increased Risk of Dementia Using a Smartphone App: The iVitality Proof-of-Principle Study , 2017, JMIR mHealth and uHealth.

[6]  Ilia Uma.  physiological signals based human emotion recognition a review , 2014 .

[7]  M. Valis,et al.  Smartphone Applications Can Serve as Effective Cognitive Training Tools in Healthy Aging , 2018, Front. Aging Neurosci..

[8]  T. Salthouse,et al.  What cognitive abilities are involved in trail-making performance? , 2011, Intelligence.

[9]  Winter A. Mason,et al.  Internet research in psychology. , 2015, Annual review of psychology.

[10]  Emiliano Miluzzo,et al.  A survey of mobile phone sensing , 2010, IEEE Communications Magazine.

[11]  Wanqing Wu,et al.  Combination of Wearable Multi-Biosensor Platform and Resonance Frequency Training for Stress Management of the Unemployed Population , 2012, Sensors.

[12]  A G Venkatesh,et al.  An Efficient Power Harvesting Mobile Phone-Based Electrochemical Biosensor for Point-of-Care Health Monitoring. , 2016, Sensors and actuators. B, Chemical.

[13]  P. Jorna.  Spectral analysis of heart rate and psychological state: A review of its validity as a workload index , 1992, Biological Psychology.

[14]  Leo Galway,et al.  Validation of a Smartphone-Based Approach to In Situ Cognitive Fatigue Assessment , 2017, JMIR mHealth and uHealth.

[15]  Mehmet Göktürk,et al.  Psychophysiological measures of human cognitive states applied in human computer interaction , 2011, WCIT.

[16]  Andrea Gaggioli,et al.  Is your phone so smart to affect your state? An exploratory study based on psychophysiological measures , 2012, Neurocomputing.

[17]  Philip D. Harvey,et al.  Administration and interpretation of the Trail Making Test , 2006, Nature Protocols.

[18]  Drew A. Hall,et al.  A low-cost smartphone-based electrochemical biosensor for point-of-care diagnostics , 2014, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings.

[19]  A. Teixeira-Pinto,et al.  Trail Making Test: regression-based norms for the Portuguese population. , 2013, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[20]  Bryan Reimer,et al.  An on-road assessment of the impact of cognitive workload on physiological arousal in young adult drivers , 2009, AutomotiveUI.

[21]  Zhiqi Shen,et al.  Computerizing Trail Making Test for long-term cognitive self-assessment , 2017, Int. J. Crowd Sci..

[22]  Andrew L. Kun,et al.  Estimating cognitive load using remote eye tracking in a driving simulator , 2010, ETRA.