Change search
ReferencesLink to record
Permanent link

Direct link
Touch Gesture Visualizations in Screencasts – Designing a Pictorial Language Using an Autobiographical Design Method
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A screencast is a digital recording of computer screen output. The format is frequently used to demonstrate and teach the usage of software functions, and is then often accompanied by narrative audio. In order for a screencast to be considered effective in these cases, it is required that it clearly conveys the interaction between user and computer program. This is problematic in the case of gesture based user interfaces since input by touch gestures lack visual representation other than feedback from the user interface. Thus, from visual information only, it is hard for the audience to interpret which specific gesture, such as touch, long touch and double touch, is used for a specific program function. Instead they have to rely on the producer communicating the information in some other way.

In this master’s thesis, a pictorial language with the purpose of visualizing touch gestures in screencasts is designed, since it could be a potential solution to the above dilemma. This is done by combining an autobiographical design method with external user evaluations. The research suggest that users interpret this type of visualizations as interface functions rather than physical touch gestures, and that some of the language’s design attributes are highly dependent on external factors. Thus, for the pictorial language to function as an effective tool in screencasts, it is needed for the producers using the tool to understand both its limitations as well as possibilities.

Place, publisher, year, edition, pages
2014. , 42 p.
National Category
Media and Communication Technology
URN: urn:nbn:se:kth:diva-170629OAI: diva2:839255
Available from: 2015-07-02 Created: 2015-07-02 Last updated: 2015-07-02Bibliographically approved

Open Access in DiVA

fulltext(1463 kB)42 downloads
File information
File name FULLTEXT01.pdfFile size 1463 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Media and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 42 downloads
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: 2360 hits
ReferencesLink to record
Permanent link

Direct link