research-article

Empowering Patients and Caregivers to Manage Healthcare Via Streamlined Presentation of Web Objects Selected by Modeling Learning Benefits Obtained by Similar Peers

Authors:

John Champaign,

Disney Yan LamAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 6, Issue 4

Article No.: 54, Pages 1 - 41

https://doi.org/10.1145/2700480

Published: 13 July 2015 Publication History

Abstract

In this article, we introduce a framework for selecting web objects (texts, videos, simulations) from a large online repository to present to patients and caregivers, in order to assist in their healthcare. Motivated by the paradigm of peer-based intelligent tutoring, we model the learning gains achieved by users when exposed to specific web objects in order to recommend those objects most likely to deliver benefit to new users. We are able to show that this streamlined presentation leads to effective knowledge gains, both through a process of simulated learning and through a user study, for the specific application of caring for children with autism. The value of our framework for peer-driven content selection of health information is emphasized through two additional roles for peers: attaching commentary to web objects and proposing subdivided objects for presentation, both of which are demonstrated to deliver effective learning gains, in simulations. In all, we are offering an opportunity for patients to navigate the deep waters of excessive online information towards effective management of healthcare, through content selection influenced by previous peer experiences.

References

[1]

David Akers. 2006. Wizard of Oz for participatory design: Inventing a gestural interface for 3D selection of neural pathway estimates. In CHI'06 Extended Abstracts on Human Factors in Computing Systems (CHI EA'06). ACM, New York, NY, 454--459.

Digital Library

[2]

R. B. Almeida, B. Mozafari, and Junghoo Cho. 2007. On the evolution of Wikipedia. In Proceedings of the International Conference on Weblogs and Social Media.

[3]

Ryan S. Baker. 2007. Modeling and understanding students' off-task behavior in intelligent tutoring systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'07). ACM, New York, NY, 1059--1068.

Digital Library

[4]

John S. Breese, David Heckerman, and Carl Kadie. 1998. Empirical Analysis of Predictive Algorithms for Collaborative Filtering. Morgan Kaufmann, 43--52.

Digital Library

[5]

Amber L. Briggs and Susan Cornell. 2004. Self-monitoring blood glucose (SMBG): Now and the future. Journal of Pharmacy Practice 17, 1, 29--38.

[6]

Luca Camerini, Michele Giacobazzi, Marco Boneschi, Peter J. Schulz, and Sara Rubinelli. 2011. Design and implementation of a web-based tailored gymnasium to enhance self-management of fibromyalgia. User Modeling and User-Adapted Interaction 21, 4--5, 485--511.

Digital Library

[7]

John Champaign. 2012. Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach. Ph.D. Dissertation. University of Waterloo.

[8]

John Champaign and Robin Cohen. 2010a. A Model for content sequencing in intelligent tutoring systems based on the ecological approach and its validation through simulated students. In Proceedings of the 21st International Florida Artificial Intelligence Research Society Conference. 486--491.

[9]

John Champaign and Robin Cohen. 2010b. Peer-based intelligent tutoring systems: A corpus-oriented approach. In Intelligent Tutoring Systems (2) (Lecture Notes in Computer Science), Vincent Aleven, Judy Kay, and Jack Mostow (Eds.), Vol. 6095. Springer, 212--214.

Digital Library

[10]

John Champaign and Robin Cohen. 2011. Exploring the effects of errors in assessment and time requirements of learning objects in a peer-based intelligent tutoring system. In 2011 FLAIRS Conference Proceedings. Palm Beach, Florida.

[11]

John Champaign, Jie Zhang, and Robin Cohen. 2011. Coping with poor advice from peers in peer-based intelligent tutoring: The case of avoiding bad annotations of learning objects. In UMAP (Lecture Notes in Computer Science), Joseph A. Konstan, Ricardo Conejo, José-Luis Marzo, and Nuria Oliver (Eds.), Vol. 6787. Springer, 38--49.

Digital Library

[12]

Ran Cheng and Julita Vassileva. 2006. Design and evaluation of an adaptive incentive mechanism for sustained educational online communities. User Modeling and User-Adapted Interaction 16, 3--4, 321--348.

Digital Library

[13]

Nathalie Colineau and Cécile Paris. 2010. A portal to promote healthy living within families. In eHealth. 259--266.

[14]

Nathalie Colineau and Cécile Paris. 2011. Motivating reflection about health within the family: The use of goal setting and tailored feedback. User Modeling and User-Adapted Interaction 21, 4--5, 341--376.

Digital Library

[15]

Malcolm Gladwell. 2002. The Tipping Point: How Little Things Can Make a Big Difference. Abacus. 91--112 pages.

[16]

Carla Gomes, Meinolf Sellmann, Cindy Van Es, and Harold Van Es. 2004. The challenge of generating spatially balanced scientific experiment designs. In CP-AI-OR04. 387--394.

[17]

Alyssa Green. 2011. Information overload in healthcare management: How the read portal is helping healthcare managers 1. Journal of the Canadian Health Libraries Association 32, 3, 173--176.

[18]

Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, and John T. Riedl. 2004. Evaluating collaborative filtering recommender systems. ACM Transactions on Information and System Security (TISSEC) 22, 1, 5--53.

Digital Library

[19]

G. Tanner Jackson and Arthur C. Graesser. 2007. Content Matters: An investigation of feedback categories within an ITS. In Proceeding of the 2007 Conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work. IOS Press, Amsterdam, The Netherlands, 127--134.

Digital Library

[20]

Jackie MacDonald, Peter Bath, and Andrew Booth. 2011. Information overload and information poverty: Challenges for healthcare services managers? Journal of Documentation 67, 2, 238--263.

[21]

Catherine C. Marshall and Frank M. Shipman. 2013. Experiences surveying the crowd: Reflections on methods, participation, and reliability. In WebSci, Hugh C. Davis, Harry Halpin, Alex Pentland, Mark Bernstein, and Lada A. Adamic (Eds.). ACM, 234--243.

Digital Library

[22]

Gord McCalla. 2004. The ecological approach to the design of E-learning environments: Purpose-based capture and use of information about learners. Journal of Interactive Media in Education 7, 1--23.

[23]

Paul Pimsleur. 1967. A memory schedule. The Modern Language Journal 51, 2, 73--75.

[24]

D. Plant. 2008. HSITE: Healthcare support through information technology enhancements. NSERC Strategic Research Network Proposal.

[25]

Timothy Read, Beatriz Barros, Elena Bárcena, and Jesús Pancorbo. 2006. Coalescing individual and collaborative learning to model user linguistic competences. User Modeling and User-Adapted Interaction 16, 3--4, 349--376.

Digital Library

[26]

James B. Rebitzer, Mari Rege, and Christopher Shepard. 2008. Influence, Information Overload, and Information Technology in Health Care. Working Paper 14159. National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w14159.

[27]

Stuart Russell and Peter Norvig. 2003. Artificial Intelligence: A Modern Approach (2nd edition ed.). Prentice-Hall, Englewood Cliffs, NJ, 106--109.

Digital Library

[28]

The Nursing and Midwifery Council. 2010. Standards for Pre-registration Nursing Education. Retrieved from http://www.nmc-uk.org/.

[29]

Julita Vassileva. 2008. Toward social learning environments. IEEE Transactions on Learning Technologies (TLT) 1, 4, 199--214.

Digital Library

[30]

Julita Vassileva, Gordon McCalla, and Jim Greer. 2003. Multi-agent multi-user modeling in I-Help. User Modeling and User-Adapted Interaction 13 (February 2003), 179--210. Issue 1--2.

Digital Library

[31]

Jie Zhang and Robin Cohen. 2007. A comprehensive approach for sharing semantic web trust ratings. Computational Intelligence 23, 3, 302--319.

Cited By

Moreira MRodrigues JKorotaev VAl-Muhtadi JKumar N(2019)A Comprehensive Review on Smart Decision Support Systems for Health CareIEEE Systems Journal10.1109/JSYST.2018.289012113:3(3536-3545)Online publication date: Sep-2019
https://doi.org/10.1109/JSYST.2018.2890121
Foong PZhao STan FWilliams JMandryk RHancock MPerry MCox A(2018)Harvesting Caregiving KnowledgeProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173653(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173653
Ohashi DCohen RFu XKostkova PGrasso FCastillo CMejova YBosman A(2017)The Current State of Online Social Networking for the Health CommunityProceedings of the 2017 International Conference on Digital Health10.1145/3079452.3079462(23-32)Online publication date: 2-Jul-2017
https://dl.acm.org/doi/10.1145/3079452.3079462
Show More Cited By

Index Terms

Empowering Patients and Caregivers to Manage Healthcare Via Streamlined Presentation of Web Objects Selected by Modeling Learning Benefits Obtained by Similar Peers

Recommendations

Using Healthcare IC Cards to manage the drug doses of chronic disease patients

In Taiwan's medical system, the Healthcare IC Card is used as form of secure data storage. This research applies the Healthcare IC Card to record the chronic disease patient's recent drug doses, diagnoses and prescriptions. With the Hospital Information ...
A web-based information intervention for family caregivers of patients with Dementia: A randomized controlled trial

This study aimed to evaluate the efficacy of a web-based health information intervention on knowledge, care burden and attitudes of family caregivers of patients with dementia. This study is a unblinded randomised controlled trial. The study population ...
Empowering Mobile Healthcare Providers via a Patient Benefits Authorization Service
WETICE '01: Proceedings of the 10th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

Moving rapidly between patient examining rooms, physicians have to examine, diagnose and decide on a course of treatment appropriate for each patient. However, if the patient's health plan administrators subsequently deny coverage, the prescribed ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 6, Issue 4

Regular Papers and Special Section on Intelligent Healthcare Informatics

August 2015

419 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2801030

Editor:
Yu Zheng
Microsoft Research, China

Issue’s Table of Contents

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2015

Accepted: 01 October 2014

Revised: 01 June 2014

Received: 01 September 2013

Published in TIST Volume 6, Issue 4

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
281
Total Downloads

Downloads (Last 12 months)20
Downloads (Last 6 weeks)3

Reflects downloads up to 24 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Moreira MRodrigues JKorotaev VAl-Muhtadi JKumar N(2019)A Comprehensive Review on Smart Decision Support Systems for Health CareIEEE Systems Journal10.1109/JSYST.2018.289012113:3(3536-3545)Online publication date: Sep-2019
https://doi.org/10.1109/JSYST.2018.2890121
Foong PZhao STan FWilliams JMandryk RHancock MPerry MCox A(2018)Harvesting Caregiving KnowledgeProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173653(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173653
Ohashi DCohen RFu XKostkova PGrasso FCastillo CMejova YBosman A(2017)The Current State of Online Social Networking for the Health CommunityProceedings of the 2017 International Conference on Digital Health10.1145/3079452.3079462(23-32)Online publication date: 2-Jul-2017
https://dl.acm.org/doi/10.1145/3079452.3079462
Rahman MAbdullah NAurangozeb F(2017)A framework for designing a personalised web-based search assistant tool for eLearning2017 5th International Conference on Information and Communication Technology (ICoIC7)10.1109/ICoICT.2017.8074712(1-6)Online publication date: May-2017
https://doi.org/10.1109/ICoICT.2017.8074712

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents