Titre :

Quantifying Object- and Command-oriented Interaction

Auteur(s) :

Goguey, Alix [Auteur]
Computing tools to empower users [MJOLNIR]
Wagner, Julie [Auteur]
Institut für Informatik [München/Munich] [LMU]
Casiez, Géry [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Computing tools to empower users [MJOLNIR]

Éditeur(s) ou directeur(s) scientifique(s) :

Julio Abascal
Simone Barbosa
Mirko Fetter
Tom Gross
Philippe Palanque
Marco Winckler

Titre de la manifestation scientifique :

15th Human-Computer Interaction (INTERACT)

Organisateur(s) de la manifestation scientifique :

IFIP

Ville :

Bamberg

Pays :

Allemagne

Date de début de la manifestation scientifique :

2015-09-14

Titre de l’ouvrage :

Lecture Notes in Computer Science

Titre de la revue :

Human-Computer Interaction – INTERACT 2015

Éditeur :

Springer

Date de publication :

2015-09-17

Mot(s)-clé(s) en anglais :

Finger specific
Finger identification
Theory
Task strategy
Metric
interaction sequence
task strategy
metric
theory
finger identification
finger specific

Discipline(s) HAL :

Informatique [cs]/Interface homme-machine [cs.HC]

Résumé en anglais : [en]

In spite of previous work showing the importance of understanding users’ strategies when performing tasks, i.e. the order in which users perform actions on objects using commands, HCI researchers evaluating and comparing ...
Lire la suite >In spite of previous work showing the importance of understanding users’ strategies when performing tasks, i.e. the order in which users perform actions on objects using commands, HCI researchers evaluating and comparing interaction techniques remain mainly focused on performance (e.g. time, error rate). This can be explained to some extent by the difficulty to characterize such strategies.We propose metrics to quantify if an interaction technique introduces a rather object- or command-oriented task strategy, depending if users favor completing the actions on an object before moving to the next one or in contrast if they are reluctant to switch between commands. On an interactive surface, we compared Fixed Palette and Toolglass with two novel techniques that take advantage of finger identification technology, Fixed Palette using Finger Identification and Finger Palette. We evaluated our metrics with previous results on both existing techniques. With the novel techniques we found that (1) minimizing the required physical movement to switch tools does not necessarily lead to more object-oriented strategies and (2) increased cognitive load to access commands can lead to command-oriented strategies.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL