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D.I.P. – A Digital Interactive Pinboard with Support for Smart Device Interaction
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-8585-3103
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-0519-2537
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2010 (English)In: In Proceedings of the IASTED International Conference on Portable Lifestyle Devices (PLD '10), ACTA Press , 2010Conference paper, (Refereed)
Abstract [en]

Smart phone devices are more popular than ever and becauseof their processing power able to deal with almost any kind of multimedia content, i.e., videos, audio, images,and text documents. Files are often shared in direct ways, for example via email, or by uploading them to one of the popular internet platforms. In this paper we present the Digital Interactive Pinboard (DIP), an alternative approach for sharing multimedia files via smart phones on large display systems. DIPs are based on the idea of traditional bulletin boards and like these set up in well visited places, so called hotspots. Systems implementing the approach do not ust act as passive public displays, but support a series of advanced interaction concepts optimized for smart phones. DIPs imply a strong social component, since physical presence is required to interact with board items that can be organized based on various group-specific criteria. We argue that a combination of physical and virtual aspects has impact on how users interact with the system and the way information is perceived. We introduce and analyze the approach from a conceptual point of view, as well as from the implementation side. We further describe two scenarios in which our approach has been employed to exchange information in well-frequented locations.

Place, publisher, year, edition, pages
ACTA Press , 2010.
Keyword [en]
Mobile Device Interaction, Visual Tagging, Large Display, Information Hotspot, Human-Computer Interaction
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-8699OAI: oai:DiVA.org:lnu-8699DiVA: diva2:353736
Available from: 2010-09-28 Created: 2010-09-28 Last updated: 2015-06-08Bibliographically approved

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Cernea, DanielKerren, Andreas
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf