Options for Automatic Identification of User Activities in Usability Testing

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

čeština

Název v původním jazyce

Options for Automatic Identification of User Activities in Usability Testing

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Options for Automatic Identification of User Activities in Usability Testing

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

EFITA-HAICTA-WCCA CONGRESS

ISBN

978-618-84798-0-7

ISSN

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e-ISSN

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Počet stran výsledku

251

Strana od-do

0-251

Název nakladatele

Neuveden

Místo vydání

Rhodes

Místo konání akce

Rhodes, Greece

Datum konání akce

27. 1. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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