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Interacting with Autostereograms

Autostereograms are 2D images that can reveal 3D content when viewed with a specific eye convergence, without using extra-apparatus. We contribute to autostereogram studies from an HCI perspective. We explore touch inputs and output design options when interacting with autostereograms on smartphones. We found that an interactive help (i.e. to control the autostereogram stereo-separation), a color-based feedback (i.e. highlight of the screen), and a direct touch input can provide support for faster and more accurate interaction than a static help (i.e. static dots indicating the stereo-separation), an animated feedback (i.e., a 'pressed' effect), and an indirect input. In addition, results reveal that participants learn to perceive smaller and smaller autostereogram content faster with practice. This learning effect transfers across display devices (smartphone to desktop screen).

The software and data could be found here.

https://doi.org/10.1145/3338286.3340141

William Delamare, Junhyeok Kim, Daichi Harada, Pourang Irani, and Xiangshi Ren. 2019. Interacting with Autostereograms. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19). ACM, New York, NY, USA, Article 30, 12 pages. DOI: https://doi.org/10.1145/3338286.3340141

Bibtext Entry

@inproceedings{Delamare:2019:IA:3338286.3340141,
author = {Delamare, William and Kim, Junhyeok and Harada, Daichi and Irani, Pourang and Ren, Xiangshi},
title = {Interacting with Autostereograms},
booktitle = {Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services},
series = {MobileHCI '19},
year = {2019},
isbn = {978-1-4503-6825-4},
location = {Taipei, Taiwan},
pages = {30:1--30:12},
articleno = {30},
numpages = {12},
url = {http://doi.acm.org/10.1145/3338286.3340141},
doi = {10.1145/3338286.3340141},
acmid = {3340141},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Autostereograms, Direct, Help, Hidden 3D, Indirect, Input, Interactive, Magic Eye, Mobile, Output, SIRDS, Stereopsis, Touch},
}

Authors

Pourang Irani

Pourang Irani

Professor
Canada Research Chair

As well as: Daichi Harada, Xiangshi Ren