schliessen

Filtern

 

Bibliotheken

Toward A Human-Centered Hyperlipidemia Management System: The Interaction between Internal and External Information on Relational Data Search

In a distributed information search task, data representation and cognitive distribution jointly affect user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered framework, we proposed a search model and task taxonomy. Th... Full description

Journal Title: Journal of Medical Systems 2011, Vol.35(2), pp.169-177
Main Author: Gong, Yang
Other Authors: Zhang, Jiajie
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0148-5598 ; E-ISSN: 1573-689X ; DOI: 10.1007/s10916-009-9354-x
Link: http://dx.doi.org/10.1007/s10916-009-9354-x
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: springer_jour10.1007/s10916-009-9354-x
title: Toward A Human-Centered Hyperlipidemia Management System: The Interaction between Internal and External Information on Relational Data Search
format: Article
creator:
  • Gong, Yang
  • Zhang, Jiajie
subjects:
  • Data display
  • Hyperlipidemias
  • User–computer interface
  • Decision making
  • Computer-assisted
ispartof: Journal of Medical Systems, 2011, Vol.35(2), pp.169-177
description: In a distributed information search task, data representation and cognitive distribution jointly affect user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered framework, we proposed a search model and task taxonomy. The model defines its application in the context of healthcare setting. The taxonomy clarifies the legitimate operations for each type of search task of relational data. We then developed experimental prototypes of hyperlipidemia data displays. Based on the displays, we tested the search tasks performance through two experiments. The experiments are of a within-subject design with a random sample of 24 participants. The results support our hypotheses and validate the prediction of the model and task taxonomy. In this study, representation dimensions, data scales, and search task types are the main factors in determining search efficiency and effectiveness. Specifically, the more external representations provided on the interface the better search task performance of users. The results also suggest the ideal search performance occurs when the question type and its corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which could be more effectively designed in electronic medical records.
language: eng
source:
identifier: ISSN: 0148-5598 ; E-ISSN: 1573-689X ; DOI: 10.1007/s10916-009-9354-x
fulltext: fulltext
issn:
  • 1573-689X
  • 1573689X
  • 0148-5598
  • 01485598
url: Link


@attributes
ID1610406244
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid10.1007/s10916-009-9354-x
sourceidspringer_jour
recordidTN_springer_jour10.1007/s10916-009-9354-x
sourcesystemPC
pqid857816867
galeid251642087
display
typearticle
titleToward A Human-Centered Hyperlipidemia Management System: The Interaction between Internal and External Information on Relational Data Search
creatorGong, Yang ; Zhang, Jiajie
ispartofJournal of Medical Systems, 2011, Vol.35(2), pp.169-177
identifier
subjectData display ; Hyperlipidemias ; User–computer interface ; Decision making ; Computer-assisted
descriptionIn a distributed information search task, data representation and cognitive distribution jointly affect user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered framework, we proposed a search model and task taxonomy. The model defines its application in the context of healthcare setting. The taxonomy clarifies the legitimate operations for each type of search task of relational data. We then developed experimental prototypes of hyperlipidemia data displays. Based on the displays, we tested the search tasks performance through two experiments. The experiments are of a within-subject design with a random sample of 24 participants. The results support our hypotheses and validate the prediction of the model and task taxonomy. In this study, representation dimensions, data scales, and search task types are the main factors in determining search efficiency and effectiveness. Specifically, the more external representations provided on the interface the better search task performance of users. The results also suggest the ideal search performance occurs when the question type and its corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which could be more effectively designed in electronic medical records.
languageeng
source
version7
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
backlink$$Uhttp://dx.doi.org/10.1007/s10916-009-9354-x$$EView_full_text_in_Springer_(Subscribers_only)
search
creatorcontrib
0Gong, Yang
1Zhang, Jiajie
titleToward A Human-Centered Hyperlipidemia Management System: The Interaction between Internal and External Information on Relational Data Search
descriptionIn a distributed information search task, data representation and cognitive distribution jointly affect user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered framework, we proposed a search model and task taxonomy. The model defines its application in the context of healthcare setting. The taxonomy clarifies the legitimate operations for each type of search task of relational data. We then developed experimental prototypes of hyperlipidemia data displays. Based on the displays, we tested the search tasks performance through two experiments. The experiments are of a within-subject design with a random sample of 24 participants. The results support our hypotheses and validate the prediction of the model and task taxonomy. In this study, representation dimensions, data scales, and search task types are the main factors in determining search efficiency and effectiveness. Specifically, the more external representations provided on the interface the better search task performance of users. The results also suggest the ideal search performance occurs when the question type and its corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which could be more effectively designed in electronic medical records.
subject
0Data display
1Hyperlipidemias
2User–computer interface
3Decision making
4Computer-assisted
general
010.1007/s10916-009-9354-x
1English
2Springer Science & Business Media B.V.
3SpringerLink
sourceidspringer_jour
recordidspringer_jour10.1007/s10916-009-9354-x
issn
01573-689X
11573689X
20148-5598
301485598
rsrctypearticle
creationdate2011
addtitle
0Journal of Medical Systems
1J Med Syst
searchscopespringer_journals_complete
scopespringer_journals_complete
lsr30VSR-Enriched:[galeid, pages, pqid]
sort
titleToward A Human-Centered Hyperlipidemia Management System: The Interaction between Internal and External Information on Relational Data Search
authorGong, Yang ; Zhang, Jiajie
creationdate20110400
facets
frbrgroupid7884794666935529711
frbrtype5
languageeng
creationdate2011
topic
0Data Display
1Hyperlipidemias
2User–Computer Interface
3Decision Making
4Computer-Assisted
collectionSpringerLink
prefilterarticles
rsrctypearticles
creatorcontrib
0Gong, Yang
1Zhang, Jiajie
jtitleJournal Of Medical Systems
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextfulltext
addata
aulast
0Gong
1Zhang
aufirst
0Yang
1Jiajie
au
0Gong, Yang
1Zhang, Jiajie
atitleToward A Human-Centered Hyperlipidemia Management System: The Interaction between Internal and External Information on Relational Data Search
jtitleJournal of Medical Systems
stitleJ Med Syst
risdate201104
volume35
issue2
spage169
epage177
issn0148-5598
eissn1573-689X
genrearticle
ristypeJOUR
abstractIn a distributed information search task, data representation and cognitive distribution jointly affect user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered framework, we proposed a search model and task taxonomy. The model defines its application in the context of healthcare setting. The taxonomy clarifies the legitimate operations for each type of search task of relational data. We then developed experimental prototypes of hyperlipidemia data displays. Based on the displays, we tested the search tasks performance through two experiments. The experiments are of a within-subject design with a random sample of 24 participants. The results support our hypotheses and validate the prediction of the model and task taxonomy. In this study, representation dimensions, data scales, and search task types are the main factors in determining search efficiency and effectiveness. Specifically, the more external representations provided on the interface the better search task performance of users. The results also suggest the ideal search performance occurs when the question type and its corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which could be more effectively designed in electronic medical records.
copBoston
pubSpringer US
doi10.1007/s10916-009-9354-x
pages169-177
date2011-04