Title :

Storyboard-Based Empirical Modeling of Touch Interface Performance

Author(s) :

Goguey, Alix [Auteur]
University of Saskatchewan [Saskatoon, Canada] [U of S]
Casiez, Géry [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université de Lille
Technology and knowledge for interaction [LOKI]
Cockburn, Andy [Auteur]
University of Canterbury [Christchurch]
Gutwin, Carl [Auteur]
University of Saskatchewan [Saskatoon, Canada] [U of S]

Conference title :

Adjunct Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2018), Demonstration

City :

Montreal

Country :

Canada

Start date of the conference :

2018-04-21

Publication date :

2018-04-23

English keyword(s) :

Touch interaction
Modelling
Performance prediction

HAL domain(s) :

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

English abstract : [en]

Touch interactions are now ubiquitous, but few tools are available to help designers quickly prototype touch interfaces and predict their performance. For rapid prototyping, most applications only support visual design. ...
Show more >Touch interactions are now ubiquitous, but few tools are available to help designers quickly prototype touch interfaces and predict their performance. For rapid prototyping, most applications only support visual design. For predictive modelling, tools such as CogTool generate performance predictions but do not represent touch actions natively and do not allow exploration of different usage contexts. To combine the benefits of rapid visual design tools with underlying predictive models, we developed the Storyboard Empirical Modelling tool (StEM) for exploring and predicting user performance with touch interfaces. StEM provides performance models for mainstream touch actions, based on a large corpus of realistic data. Our tool provides new capabilities for exploring and predicting touch performance, even in the early stages of design. This is the demonstration of our accompanying paper.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