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

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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
Investigating the Effects of Trends in an Interface to a Dynamic System
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Uppsala University and Trafikverket (The Swedish Transport Administration) have been in collaboration in order to improve the train traffic control systems in Sweden for many years. As a result, a train traffic control system STEG (Swedish for 'Control via an Electronic Graph') was built, and evaluated. Based on the evaluation results, need for more constrained experiments have been revealed. The use of microworlds in such dynamic decision making research is a common approach. For that reason, a microworld (train traffic simulator) was built in Uppsala University. The purpose of the designed experiment was to explore the effects of absence or presence of trend lines on performance and perceived difficulty in an interface of a dynamic system for novice users. The study also answered whether instead of a generic goal, introduction of a target to the users affected their behavior. In the experiment, 32 participants, interacting with the microworld, tried to solve a logical problem and were given 40 trials to improve their performances. In order to test main and interaction effects between the proposed variables (performance, perceived difficulty), the experiment was based on a 2 x 2 factorial design (trend lines: present/absent, target: present/absent). The results were analyzed by means of a mixed design ANOVA for repeated measures. In addition, Scheffé post-hoc analysis and regression analysis were conducted. The analysis results have shown that the trend lines did not improve performance and slowed down learning. The users who were subjected to trend lines and were introduced to a target perceived the task significantly harder.

Place, publisher, year, edition, pages
2015. , 67 p.
Series
IT, 15043
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-260463OAI: oai:DiVA.org:uu-260463DiVA: diva2:847200
Educational program
Master Programme in Human-Computer Interaction
Supervisors
Examiners
Available from: 2015-08-19 Created: 2015-08-19 Last updated: 2015-09-01Bibliographically approved

Open Access in DiVA

fulltext(1313 kB)245 downloads
File information
File name FULLTEXT01.pdfFile size 1313 kBChecksum SHA-512
99b6f929f777d735ce03eb3d94fdae3735aedf29b6dad2e0694a558fa96706955a3c2488d9397054b5e5355b2ea4adb88f7fa69653ec13c530184988d7d0c045
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 245 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

urn-nbn

Altmetric score

urn-nbn
Total: 1294 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • 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