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Lookup NU author(s): Dr Ahmed Kharrufa,
Dr Thomas Ploetz,
Professor Patrick OlivierORCiD
This is the final published version of an article that has been published in its final definitive form by ACM, 2018.
For re-use rights please refer to the publisher's terms and conditions.
User identification on interactive surfaces is a desirable feature that is not inherently supported by existing technologies. We have conducted an extensive survey of existing identification techniques, which led us to formulate a unified model for user identification. We start by introducing this model that (1) classifies existing user identification approaches in five categories according to the identification technology, (2) identifies eight characteristic identification system parameters, and (3) proposes a way for visualizing the system's characteristics as points on a radar chart to allow for quick comparison and contrast between systems. This model is then used to present our survey of existing user identification approaches and visualize their characteristics, highlighting their strengths and limitations. The model also makes it possible to visually represent requirements of systems that require user identification, identify existing approaches that can meet an application's requirements, and help report on and evaluate new approaches to user identification systematically.
Author(s): Kharrufa A, Ploetz T, Olivier P
Publication type: Article
Publication status: Published
Journal: ACM Transactions on Computer-Human Interaction
Print publication date: 01/01/2018
Online publication date: 31/01/2018
Acceptance date: 30/09/2017
Date deposited: 18/05/2018
ISSN (print): 1073-0516
ISSN (electronic): 1557-7325
Data Source Location: https://doi.org/10.17634/141304-12
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