Abstract:
In domains where users are exposed to large variations in visuo-spatial features among designs, they often spend excess time searching for common elements (features) in familiar locations. This paper contributes computational approaches to restructuring layouts such that features on a new, unvisited interface can be found quicker. We explore four concepts of familiarisation, inspired by the human visual system (HVS), to automatically generate a familiar design for each user.
Cite (BibTeX):
@inproceedings{DBLP_conf_iui_TodiJLO18,
author = {Todi, Kashyap and Jokinen, Jussi and Luyten, Kris and Oulasvirta, Antti},
title = {Familiarisation: Restructuring layouts with visual learning models},
booktitle = {Proceedings of the 23rd international conference on intelligent user interfaces, IUI 2018, tokyo, japan, march 07-11, 2018},
year = {2018},
publisher = {ACM},
pages = {547-558},
doi = {10.1145/3172944.3172949},
url = {https://doi.org/10.1145/3172944.3172949}
}