Logo des Repositoriums
 

Evaluation of Anticipated User Experience

dc.contributor.authorOelfin, Dominik
dc.contributor.authorSchrepp, Martin
dc.contributor.editorWienrich, Carolin
dc.contributor.editorWintersberger, Philipp
dc.contributor.editorWeyers, Benjamin
dc.date.accessioned2021-09-05T18:56:35Z
dc.date.available2021-09-05T18:56:35Z
dc.date.issued2021
dc.description.abstractUser experience encompasses all the effects that the use of a product has on users - before, during and after use. But what do future users expect from a product? There are various evaluation and measurement methods to examine actual user experience. However, only a few methods allow to explore the expectations of future users before they use a product. We describe a standardized method to explore user expectations, that is supported by a web tool for efficient data collection. The method is based on a list of positive UX properties that can be configured by a researcher. Participants in a study can indicate for each property whether they expect it from the product or not. The result can be visualized via a word cloud. The same properties can be used to rate actual user experience in a classical questionnaire format. Thus, the method allows to compare user expectations with the actual user experience and helps to generate a shared understanding about the important UX properties for a product. Finally, the method was tested in a concrete evaluation project.en
dc.identifier.doi10.18420/muc2021-mci-ws01-363
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37369
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2021 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectUser Experience
dc.subjectUser Expectations
dc.subjectAnticipated Use
dc.subjectEvaluation
dc.titleEvaluation of Anticipated User Experienceen
dc.typeText/Workshop Paper
gi.citation.publisherPlaceBonn
gi.conference.date5.-8. September 2021
gi.conference.locationIngolstadt
gi.conference.sessiontitleMCI-WS01: Quantitative measurement of user experience
gi.document.qualitydigidoc

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
Contribution_363__a.pdf
Größe:
997.59 KB
Format:
Adobe Portable Document Format