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Erschienen in:
The Divergency Model: UX Research for and with Stigmatized and Idiosyncratic Populations Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Interaction Techniques and Pointing Task: A Preliminary Analysis to Understand How to Characterize the User Abilities in Virtual Environment

verfasst von : Eulalie Verhulst, Frédéric Banville, Paul Richard, Philippe Allain

Erschienen in: Human Interface and the Management of Information. Information in Applications and Services

Verlag: Springer International Publishing

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Abstract

The study aims to detect how the skills of a participant using a specific interaction technique can be qualified with behavioural data as number of click or miss click. Three interaction techniques were used: the gamepad, the mouse and the Razer Hydra. Users were first trained then they had to complete a pointing task. We then created two subgroups of participants: one with good abilities to use the interaction technique and one with low skill with a clustering hierarchical analysis and then compared subgroups. The Fitts throughput score during a pointing task allow to differentiate users with good abilities from other for the gamepad and the Razer Hydra but not for the mouse. These results could help to understand how familiar is a user with an interaction technique.

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Vorheriges Kapitel Study of Experience Value Design Method by Movie Prototyping
Nächstes Kapitel Development of a Blended Learning System for Engineering Students Studying Intellectual Property Law and Access Log Analysis of the System
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Metadaten
Titel
Interaction Techniques and Pointing Task: A Preliminary Analysis to Understand How to Characterize the User Abilities in Virtual Environment
verfasst von
Eulalie Verhulst
Frédéric Banville
Paul Richard
Philippe Allain
Copyright-Jahr
2018
Buch
Human Interface and the Management of Information. Information in Applications and Services

Print ISBN: 978-3-319-92045-0

Electronic ISBN: 978-3-319-92046-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-92046-7_20

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