MobileCogniTracker - A mobile experience sampling tool for tracking cognitive behaviour

As the population ages, cognitive decline is becoming a worldwide threat to older adults’ independence and quality of life. Cognitive decline involves problems with memory, language, thinking and judgement, thus severely compromising multiple aspects of people’s everyday life. Diagnosis of cognitive disorders is currently performed through clinical questionnaire-based assessments, which are typically conducted by medical experts once symptoms appear. Digital technologies can help providing more immediate, pervasive and seamless assessment, which could, in turn, allow for much earlier diagnosis of cognitive disorders and decline. In this work, we present MobileCogniTracker, a digital tool for facilitating momentary, seamless and ubiquitous clinically-validated cognitive measurements. The proposed tool develops digital cognitive tests in the form of multimedia experience sampling questionnaires, which can run on a smartphone and can be scheduled and assessed remotely. The tool further integrates the digital cognitive experience sampling with passive smartphone sensor data streams that may be used to study the interplay of cognition and physical, social and emotional behaviours. The Mini-Mental State Examination test, a clinical questionnaire extensively used to measure cognitive disorders, has been particularly implemented here to showcase the possibilities offered by our tool. A usability test showed the tool to be usable for performing digital cognitive examinations, and that cognitively unimpaired persons in the relevant age-group are capable of performing such digital examination. A qualitative expert-driven validation also shows a high inter-reliability between the digital and pencil-and-paper version of the test.

[1]  Denzil Ferreira,et al.  AWARE: Mobile Context Instrumentation Framework , 2015, Front. ICT.

[2]  Ignacio Rojas,et al.  Design, implementation and validation of a novel open framework for agile development of mobile health applications , 2015, BioMedical Engineering OnLine.

[3]  Daniel McDuff,et al.  COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera , 2016, CHI.

[4]  Klara Nahrstedt,et al.  Characterizing and modeling people movement from mobile phone sensing traces , 2015, Pervasive Mob. Comput..

[5]  M. Folstein,et al.  The Mini-Mental State Examination. , 1983, Archives of general psychiatry.

[6]  Andre Gustavo Adami,et al.  Unobtrusive assessment of activity patterns associated with mild cognitive impairment , 2008, Alzheimer's & Dementia.

[7]  Andrew T. Campbell,et al.  Bewell: A smartphone application to monitor, model and promote wellbeing , 2011, PervasiveHealth 2011.

[8]  Richard Barker,et al.  CASE method fast-track - a RAD approach , 1994 .

[9]  D. Marson,et al.  The Severe Mini-Mental State Examination: A New Neuropsychologic Instrument for the Bedside Assessment of Severely Impaired Patients With Alzheimer Disease , 2000, Alzheimer disease and associated disorders.

[10]  J. Bermúdez Cognitive Science: An Introduction to the Science of the Mind , 2020 .

[11]  Joseph L. Hardy,et al.  THE SCIENCE BEHIND LUMOSITY , 2009 .

[12]  Young-Suk Lee,et al.  Proposal of a Serious Game to Help Prevent Dementia , 2016, GALA.

[13]  Sungyoung Lee,et al.  Smartphone Location-Independent Physical Activity Recognition Based on Transportation Natural Vibration Analysis , 2017, Sensors.

[14]  Wei Zhang,et al.  A Unified Framework for Street-View Panorama Stitching , 2016, Sensors.

[15]  Dirk Heylen,et al.  Council of Coaches - A Novel Holistic Behavior Change Coaching Approach , 2018, ICT4AWE.

[16]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[17]  T. Tombaugh,et al.  The Mini‐Mental State Examination: A Comprehensive Review , 1992, Journal of the American Geriatrics Society.

[18]  Barry A. T. Brown,et al.  100 days of iPhone use: understanding the details of mobile device use , 2014, MobileHCI '14.

[19]  Jules Morgan,et al.  Gaming for dementia research: a quest to save the brain , 2016, The Lancet Neurology.

[20]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[21]  Hermie Hermens,et al.  Enabling remote assessment of cognitive behaviour through mobile experience sampling , 2018, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

[22]  Alex Mihailidis,et al.  Clustering home activity distributions for automatic detection of mild cognitive impairment in older adults , 2016, J. Ambient Intell. Smart Environ..

[23]  Misha Pavel,et al.  Unobtrusive and Ubiquitous In-Home Monitoring: A Methodology for Continuous Assessment of Gait Velocity in Elders , 2010, IEEE Transactions on Biomedical Engineering.

[24]  Jeff Sauro,et al.  The Factor Structure of the System Usability Scale , 2009, HCI.

[25]  D. Mungas In-office mental status testing: a practical guide. , 1991, Geriatrics.

[26]  Daniel McDuff,et al.  Biophone: Physiology monitoring from peripheral smartphone motions , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[27]  Stephen K. Reed Cognition: Theories and Applications , 2009 .

[28]  Matthew Kay,et al.  Cognitive rhythms: unobtrusive and continuous sensing of alertness using a mobile phone , 2016, UbiComp.

[29]  Martin Pielot,et al.  When attention is not scarce - detecting boredom from mobile phone usage , 2015, UbiComp.

[30]  D. Royall,et al.  CLOX: an executive clock drawing task , 1998, Journal of neurology, neurosurgery, and psychiatry.

[31]  Sungyoung Lee,et al.  Model-based adaptive user interface based on context and user experience evaluation , 2018, Journal on Multimodal User Interfaces.

[32]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[33]  Oresti Baños,et al.  E-Coaching for Health , 2018, Computer.

[34]  John R. M. Copeland,et al.  Principles and practice of geriatric psychiatry , 2002 .

[35]  Janet B W Williams,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .