uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
On the Applicability of Direct and Indirect Input in Table-Top and Vertical Displays
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Högskolan i Gävle. (Datavetenskap)
2009 (English)In: Proceedings of IADIS Applied Computing 2009, 2009Conference paper (Refereed)
Abstract [en]

Recent developments in display and interaction technologies afford new IT based applications e.g. for use cases with several collaborating users. Table-top display environments are among those techniques that are expected to boost the development of an entire range of new computer applications. While technological development has advanced rapidly, little research has been done to evaluate the applicability of such techniques for general interaction. In this paper we present latest results of a study on the efficiency of direct interaction and indirect nteraction with a table-top display and we compare it with indirect input on a conventional vertical display. The results show that users made significantly shorter cursor movements in the table-top interface than in the conventional vertical interface. In regard to time, task performance for direct, pen-based input on a table-top interface was even superior to conventional, mouse based interaction on a vertical display. Users’ performance was worst for mouse based interaction in the table-top condition despite shorter travel distances. The results of our work give some interesting criteria for the development of applicable systems. That is to say, contrary to earlier research we find that the use of a table-top display yields to more efficient interaction than a comparable vertical display as long as direct input is used.

Place, publisher, year, edition, pages
National Category
Computer and Information Science
URN: urn:nbn:se:uu:diva-112155OAI: oai:DiVA.org:uu-112155DiVA: diva2:285105
Available from: 2010-01-11 Created: 2010-01-11 Last updated: 2010-03-01Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Seipel, Stefan
By organisation
Centre for Image AnalysisComputerized Image Analysis
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 197 hits
ReferencesLink to record
Permanent link

Direct link