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Demographic user characteristic sampling for model-based usability evaluation

Published: 26 October 2014 Publication History

Abstract

Using software for model-based usability evaluation is uncommon today, as the modelling process is considered as overhead to the actual design work. The aim of the present paper is to describe a concept, which may make model-based usability evaluation more worthwhile and feasible. The concept is based on sampling user models based on demographic characteristics; these characteristics may help to estimate the severity of usability problems found with the help of the user model. To sample representative user models, a simple Bayesian network (BN) was constructed, holding information about age and gender distributions, and attitudes towards technology. The results of the simulation suggest that a BN is an appropriate tool to store user information for modelling purposes, and thus may improve model-based usability evaluation.

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Cited By

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  • (2022)Definition of Guideline-Based Metrics to Evaluate AAL Ecosystem’s UsabilityHuman Behavior and Emerging Technologies10.1155/2022/89390722022(1-19)Online publication date: 14-Nov-2022

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    NordiCHI '14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational
    October 2014
    361 pages
    ISBN:9781450325424
    DOI:10.1145/2639189
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

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    Published: 26 October 2014

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    Author Tags

    1. Bayesian network
    2. automatic usability evaluation
    3. demographic user model

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    NordiCHI '14 Paper Acceptance Rate 89 of 361 submissions, 25%;
    Overall Acceptance Rate 379 of 1,572 submissions, 24%

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    • (2022)Definition of Guideline-Based Metrics to Evaluate AAL Ecosystem’s UsabilityHuman Behavior and Emerging Technologies10.1155/2022/89390722022(1-19)Online publication date: 14-Nov-2022

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