%0 Journal Article %1 HagenSandnes10puc %A Hagen, Simen %A Sandnes, Frode Eika %D 2010 %J Personal and Ubiquitous Computing %K v1205 springer paper embedded ai multimodal adaptive user interface information service zzz.spm zzz.th.c4 %N 8 %P 715-721 %R 10.1007/s00779-010-0286-8 %T Toward Accessible Self-service Kiosks through Intelligent User Interfaces %V 14 %X Public self-service kiosks provide key services such as ticket sales, airport check-in and general information. Such kiosks must be universally designed to be used by society at large, irrespective of the individual users' physical and cognitive abilities, level of education and familiarity with the system. The noble goal of universal accessibility is hard to achieve. This study reports experiences with a universally designed kiosk prototype based on a multimodal intelligent user interface that adapts to the user's physical characteristics. The user interacts with the system via a tall rectangular touch-sensitive display where the interaction area is adjusted to fit the user's height. A digital camera is used to measure the user's approximate reading distance from the display such that the text size can be adjusted accordingly. The user's touch target accuracy is measured, and the target sizes are increased for users with motor difficulties. A Byzantine visualization technique is employed to exploit unused and unreachable screen real estate to provide the user with additional visual cues. The techniques explored in this study have potential for most public self-service kiosks.

@article{HagenSandnes10puc, abstract = {Public self-service kiosks provide key services such as ticket sales, airport check-in and general information. Such kiosks must be universally designed to be used by society at large, irrespective of the individual users' physical and cognitive abilities, level of education and familiarity with the system. The noble goal of universal accessibility is hard to achieve. This study reports experiences with a universally designed kiosk prototype based on a multimodal intelligent user interface that adapts to the user's physical characteristics. The user interacts with the system via a tall rectangular touch-sensitive display where the interaction area is adjusted to fit the user's height. A digital camera is used to measure the user's approximate reading distance from the display such that the text size can be adjusted accordingly. The user's touch target accuracy is measured, and the target sizes are increased for users with motor difficulties. A Byzantine visualization technique is employed to exploit unused and unreachable screen real estate to provide the user with additional visual cues. The techniques explored in this study have potential for most public self-service kiosks.}, added-at = {2012-05-30T10:47:04.000+0200}, author = {Hagen, Simen and Sandnes, Frode Eika}, biburl = {https://www.bibsonomy.org/bibtex/2ee2048e7aac27c9cd93347831df63931/flint63}, doi = {10.1007/s00779-010-0286-8}, file = {SpringerLink:2010/HagenSandnes10puc.pdf:PDF}, groups = {public}, interhash = {ccf59ffdf783246743d0ec187d74883c}, intrahash = {ee2048e7aac27c9cd93347831df63931}, issn = {1617-4909}, journal = {Personal and Ubiquitous Computing}, keywords = {v1205 springer paper embedded ai multimodal adaptive user interface information service zzz.spm zzz.th.c4}, number = 8, pages = {715-721}, timestamp = {2018-04-16T12:05:12.000+0200}, title = {Toward Accessible Self-service Kiosks through Intelligent User Interfaces}, username = {flint63}, volume = 14, year = 2010 }