Adaptive information density for augmented reality displays

Augmented Reality (AR) browsers show geo-referenced data in the current view of a user. When the amount of data grows too large, the display quickly becomes cluttered. Clustering items by spatial and semantic attributes can temporarily alleviate the issue, but is not effective against an increasing...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the Workshop on Future Trends of Distributed Computing Systems S. 83 - 92
Hauptverfasser: Tatzgern, Markus, Orso, Valeria, Kalkofen, Denis, Jacucci, Giulio, Gamberini, Luciano, Schmalstieg, Dieter
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2016
Schlagworte:
ISSN:2375-5334
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract Augmented Reality (AR) browsers show geo-referenced data in the current view of a user. When the amount of data grows too large, the display quickly becomes cluttered. Clustering items by spatial and semantic attributes can temporarily alleviate the issue, but is not effective against an increasing amount of data. We present an adaptive information density display for AR that balances the amount of presented information against the potential clutter created by placing items on the screen. We use hierarchical clustering to create a level-of-detail structure, in which nodes closer to the root encompass groups of items, while the leaf nodes contain single items. Our method selects items and groups from different levels of this hierarchy based on user-defined preferences and on the amount of visual clutter caused by placing these items. The number of presented items is adapted during user interaction to avoid clutter. We compare our interface to a conventional AR browser interface in a qualitative user study. Users clearly preferred our interface, because it provided a better overview of the data and allowed for easier comparison. In a second study, we evaluated the effect of different degrees of clustering on search and recall tasks. Users generally made fewer errors, when using our interface for a search task, which indicates that the reduced clutter allowed them to stay focused on finding the relevant items.
AbstractList Augmented Reality (AR) browsers show geo-referenced data in the current view of a user. When the amount of data grows too large, the display quickly becomes cluttered. Clustering items by spatial and semantic attributes can temporarily alleviate the issue, but is not effective against an increasing amount of data. We present an adaptive information density display for AR that balances the amount of presented information against the potential clutter created by placing items on the screen. We use hierarchical clustering to create a level-of-detail structure, in which nodes closer to the root encompass groups of items, while the leaf nodes contain single items. Our method selects items and groups from different levels of this hierarchy based on user-defined preferences and on the amount of visual clutter caused by placing these items. The number of presented items is adapted during user interaction to avoid clutter. We compare our interface to a conventional AR browser interface in a qualitative user study. Users clearly preferred our interface, because it provided a better overview of the data and allowed for easier comparison. In a second study, we evaluated the effect of different degrees of clustering on search and recall tasks. Users generally made fewer errors, when using our interface for a search task, which indicates that the reduced clutter allowed them to stay focused on finding the relevant items.
Author Tatzgern, Markus
Gamberini, Luciano
Orso, Valeria
Jacucci, Giulio
Kalkofen, Denis
Schmalstieg, Dieter
Author_xml – sequence: 1
  givenname: Markus
  surname: Tatzgern
  fullname: Tatzgern, Markus
  email: markus.tatzgern@fh-salzburg.ac.at
– sequence: 2
  givenname: Valeria
  surname: Orso
  fullname: Orso, Valeria
  email: valeria.orso@studenti.unipd.it
– sequence: 3
  givenname: Denis
  surname: Kalkofen
  fullname: Kalkofen, Denis
  email: kalkofen@icg.tugraz.at
– sequence: 4
  givenname: Giulio
  surname: Jacucci
  fullname: Jacucci, Giulio
  email: giulio.jacucci@cs.helsinki.fi
– sequence: 5
  givenname: Luciano
  surname: Gamberini
  fullname: Gamberini, Luciano
  email: luciano.gamberini@unipd.it
– sequence: 6
  givenname: Dieter
  surname: Schmalstieg
  fullname: Schmalstieg, Dieter
  email: schmalstieg@icg.tugraz.at
BookMark eNotj01Lw0AURUdRsK1du3CTP5D63nxlBlelWBUKgqjbMsm8yEgyCZko5N8bsasLB-7h3iW7iF0kxm4QNohg7z5eNxxQbwoFUls8Y2tbGFRgAYzQcM4WXBQqV0LIK7ZM6QuAgxJ2we633vVj-KEsxLobWjeGLmaeYgrjlM0kc9-fLcWRfDaQa_6oD6lv3JSu2WXtmkTrU67Y-_7hbfeUH14en3fbQx44mDF3qrLG1KXHAo3WjpfzDKUBoOIll3UFpbLWEMiqQiylNMqpQloHyP3cFSt2--8NRHTsh9C6YTqevopfwdtIyw
ContentType Conference Proceeding
DBID 6IE
6IH
CBEJK
RIE
RIO
DOI 10.1109/VR.2016.7504691
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan (POP) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP) 1998-present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 9781509008360
1509008365
EISSN 2375-5334
EndPage 92
ExternalDocumentID 7504691
Genre orig-research
GroupedDBID 29P
6IE
6IH
ALMA_UNASSIGNED_HOLDINGS
CBEJK
RIE
RIO
RNS
ID FETCH-LOGICAL-i208t-a5c988fbd171866a2b33456000c2b24fc0b5998e04cc11b4485a5749a012d5c93
IEDL.DBID RIE
ISICitedReferencesCount 61
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000386307300010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 02:09:32 EDT 2025
IsPeerReviewed false
IsScholarly true
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i208t-a5c988fbd171866a2b33456000c2b24fc0b5998e04cc11b4485a5749a012d5c93
PageCount 10
ParticipantIDs ieee_primary_7504691
PublicationCentury 2000
PublicationDate 20160301
PublicationDateYYYYMMDD 2016-03-01
PublicationDate_xml – month: 03
  year: 2016
  text: 20160301
  day: 01
PublicationDecade 2010
PublicationTitle Proceedings of the Workshop on Future Trends of Distributed Computing Systems
PublicationTitleAbbrev VR
PublicationYear 2016
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0020539
ssib026765277
Score 2.2342
Snippet Augmented Reality (AR) browsers show geo-referenced data in the current view of a user. When the amount of data grows too large, the display quickly becomes...
SourceID ieee
SourceType Publisher
StartPage 83
SubjectTerms Browsers
Clustering algorithms
Clutter
Data visualization
Electronic mail
Semantics
Visualization
Title Adaptive information density for augmented reality displays
URI https://ieeexplore.ieee.org/document/7504691
WOSCitedRecordID wos000386307300010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEB5q8eCpaiu-ycGj2-5mH0nwJGLxIKWIlt5KHrNSkLa0u0L_vZnttkXw4i0EEsJskpkv-803AHfC6tz7HRfkMuFB4jxOMaHUgUKTRVobbioy5uhVDAZyPFbDBtzvcmEQsSKfYZea1b98N7clPZX1SIo8o1T1AyHEJldru3d4JrKUiz3Y8ptL1VI-Uah6ozeicWXdeopftVQqV9Jv_W8Rx9DZ5-Sx4c7bnEADZ6fQ2hZlYPUZbcPDo9MLusNYrYlKlmeOeOrFmvkepsvPSonTMR8wUhTO3HS1-NLrVQc--s_vTy9BXSEhmPJQFoFOrZIyNy4SJFynuYnjhGKY0HLDk9yGJvV4CsPE2igyHoqlOhWJ0t4tOT82PoPmbD7Dc2CZQsu1yqUyHi0j6siYLCZBPrRGOLyANtlistiIYExqM1z-3X0FR2TuDVnrGprFssQbOLTfxXS1vK2-3A9MypnZ
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEB5KFfRUtRXf5uDRbXez2TzwJGKpWEuRWnorea0UpC3trtB_b7LdtghevIVAQphNMvNlv_kG4I5pmTq_Y4KUExwQ43CKCrkMhFU0klJhVZAxh13W6_HRSPQrcL_NhbHWFuQz2_TN4l--mencP5W1vBQ59anqewkhOFpna212D6aMJpjt4JbbXqIU84lC0Rq-eyIXbZaT_KqmUjiTdu1_yziCxi4rD_W3_uYYKnZ6ArVNWQZUntI6PDwaOfe3GCpVUb3tkfFM9WyFXA-S-WehxWmQCxl9HI7MZDn_kqtlAz7az4OnTlDWSAgmOORZIBMtOE-ViZiXrpNYxTHxUUyoscIk1aFKHKKyIdE6ipQDY4lMGBHSOSbjxsanUJ3OpvYMEBVWYylSLpTDy9bKSCkae0k-qxUz9hzq3hbj-VoGY1ya4eLv7ls46AzeuuPuS-_1Eg696dfUrSuoZovcXsO-_s4my8VN8RV_AH7-nSA
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=Proceedings+of+the+Workshop+on+Future+Trends+of+Distributed+Computing+Systems&rft.atitle=Adaptive+information+density+for+augmented+reality+displays&rft.au=Tatzgern%2C+Markus&rft.au=Orso%2C+Valeria&rft.au=Kalkofen%2C+Denis&rft.au=Jacucci%2C+Giulio&rft.date=2016-03-01&rft.pub=IEEE&rft.eissn=2375-5334&rft.spage=83&rft.epage=92&rft_id=info:doi/10.1109%2FVR.2016.7504691&rft.externalDocID=7504691