Options for Automatic Identification of User Activities in Usability Testing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F19%3A80687" target="_blank" >RIV/60460709:41110/19:80687 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

čeština

Original language name

Options for Automatic Identification of User Activities in Usability Testing

Original language description

When testing usability of applications, it is often needed to analyze behavior of users in terms of identifying their activities. The activity may be that the user is working on the assignment without problems, is searching for something, is absolutely lost in user interface, is filling a form, is studying the manual, etc. Identifying of the activities is usually done by tagging a video and audio record of the testing, optionally together with visualization of eye movements (eye tracking). It is a very time-consuming work for the usability experts. When testing in a specialized laboratory, we can obtain data from various measurements. Besides audio-visual record, data from eye-tracking, click tracking and keyboard tracking can be analyzed. Moreover, we can engage biometrical data such as pulse, skin temperature, humidity, hand movements, etc. The research question of the paper is whether it is possible to analyze all the data and develop methods and algorithms to automatically identify the user activ

Czech name

Options for Automatic Identification of User Activities in Usability Testing

Czech description

When testing usability of applications, it is often needed to analyze behavior of users in terms of identifying their activities. The activity may be that the user is working on the assignment without problems, is searching for something, is absolutely lost in user interface, is filling a form, is studying the manual, etc. Identifying of the activities is usually done by tagging a video and audio record of the testing, optionally together with visualization of eye movements (eye tracking). It is a very time-consuming work for the usability experts. When testing in a specialized laboratory, we can obtain data from various measurements. Besides audio-visual record, data from eye-tracking, click tracking and keyboard tracking can be analyzed. Moreover, we can engage biometrical data such as pulse, skin temperature, humidity, hand movements, etc. The research question of the paper is whether it is possible to analyze all the data and develop methods and algorithms to automatically identify the user activ

Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

EFITA-HAICTA-WCCA CONGRESS

ISBN

978-618-84798-0-7

ISSN

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e-ISSN

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Number of pages

251

Pages from-to

0-251

Publisher name

Neuveden

Place of publication

Rhodes

Event location

Rhodes, Greece

Event date

Jan 27, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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