NDLI: A Bayesian Assessment of Real-World Behavior During Multitasking

Content Provider	Springer Nature Link
Author	Bergmann, Jeroen H.M. Fei, Joan Green, David A Hussain, Amir Howard, Newton
Copyright Year	2017
Abstract	Multitasking is common in everyday life, but its effect on activities of daily living is not well understood. Critical appraisal of performance for both healthy individuals and patients is required. Motor activities during meal preparation were monitored in healthy individuals with a wearable sensor network during single and multitask conditions. Motor performance was quantified by the median frequencies (f $_{m}$) of hand trajectories and wrist accelerations. The probability that multitasking occurred based on the obtained motor information was estimated using a Naïve Bayes Model, with a specific focus on the single and triple loading conditions. The Bayesian probability estimator showed task distinction for the wrist accelerometer data at the high and low value ranges. The likelihood of encountering a certain motor performance during well-established everyday activities, such as preparing a simple meal, changed when additional (cognitive) tasks were performed. Within a healthy population, the probability of lower acceleration frequency patterns increases when people are asked to multitask. Cognitive decline due to aging or disease might yield even greater differences.
Starting Page	749
Ending Page	757
Page Count	9
File Format	PDF
ISSN	18669956
Journal	Cognitive Computation
Volume Number	9
Issue Number	6
e-ISSN	18669964
Language	English
Publisher	Springer US
Publisher Date	2017-08-12
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wearable sensors Activities of daily living Cognitive loading Executive function Motor control Neurosciences Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Computational Biology/Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Cognitive Neuroscience Computer Science Applications Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Bayesian Assessment of Real-World Behavior During Multitasking

Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking

Cognitive Computation: An Introduction

Sentic Computing

Cognitive Computation Special Issue on Cognitive Behavioural Systems

Computational Creativity, Intelligence and Autonomy

Robust Bayesian Classification with Incomplete Data

Autonomous Cognitive Systems in Real-World Environments: Less Control, More Flexibility and Better Interaction

Advances in Brain-Inspired Cognitive Systems

A Bayesian Assessment of Real-World Behavior During Multitasking

Similar Documents

A Bayesian Assessment of Real-World Behavior During Multitasking

Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking

Cognitive Computation: An Introduction

Sentic Computing

Cognitive Computation Special Issue on Cognitive Behavioural Systems

Computational Creativity, Intelligence and Autonomy

Robust Bayesian Classification with Incomplete Data

Autonomous Cognitive Systems in Real-World Environments: Less Control, More Flexibility and Better Interaction

Advances in Brain-Inspired Cognitive Systems

A Bayesian Assessment of Real-World Behavior During Multitasking