Title :

Quantifying Object- and Command-oriented Interaction

Author(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]

Scientific editor(s) :

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

Conference title :

15th Human-Computer Interaction (INTERACT)

Conference organizers(s) :

IFIP

City :

Bamberg

Country :

Allemagne

Start date of the conference :

2015-09-14

Book title :

Lecture Notes in Computer Science

Journal title :

Human-Computer Interaction – INTERACT 2015

Publisher :

Springer

Publication date :

2015-09-17

English keyword(s) :

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

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL