Aalto Interface Metrics (AIM): A service and codebase for computational GUI evaluation

Antti Oulasvirta, Samuli De Pascale, Janin Koch, Thomas Langerak, Jussi Jokinen, Kashyap Todi, Markku Laine, Manoj Kristhombuge, Yuxi Zhu, Aliaksei Miniukovich, Gregorio Palmas, Tino Weinkauf

Research output: Contribution to conferencePosterScientificpeer-review

8 Citations (Scopus)
114 Downloads (Pure)

Abstract

Aalto Interface Metrics (AIM) pools several empirically validated models and metrics of user perception and attention into an easy-to-use online service for the evaluation of graphical user interface (GUI) designs. Users input a GUI design via URL, and select from a list of 17 different metrics covering aspects ranging from visual clutter to visual learnability. AIM presents detailed breakdowns, visualizations, and statistical comparisons, enabling designers and practitioners to detect shortcomings and possible improvements. The web service and code repository are available at interfacemetrics.aalto.fi.

Original languageEnglish
Pages16-19
Number of pages4
DOIs
Publication statusPublished - 11 Oct 2018
MoE publication typeNot Eligible
EventACM Symposium on User Interface Software and Technology - Berlin, Germany
Duration: 14 Oct 201817 Oct 2018
Conference number: 31

Conference

ConferenceACM Symposium on User Interface Software and Technology
Abbreviated titleUIST
CountryGermany
CityBerlin
Period14/10/201817/10/2018

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    Oulasvirta, A., De Pascale, S., Koch, J., Langerak, T., Jokinen, J., Todi, K., ... Weinkauf, T. (2018). Aalto Interface Metrics (AIM): A service and codebase for computational GUI evaluation. 16-19. Poster session presented at ACM Symposium on User Interface Software and Technology, Berlin, Germany. https://doi.org/10.1145/3266037.3266087