Français Anglais
Accueil Annuaire Plan du site
Home > Research results > Dissertations & habilitations
Research results
Ph.D de

Ph.D
Group : Human-Centered Computing

Designing expressive interaction techniques for novices inspired by expert activities: The case of musical practice

Starts on 01/10/2008
Advisor : BEAUDOUIN-LAFON, Michel
[Stéphane HUOT]

Funding :
Affiliation : Université Paris-Sud
Laboratory : LRI in-situ

Defended on 17/12/2012, committee :
Encadrants :
Michel Beaudouin-Lafon, Professeur (LRI, Université Paris-Sud)
Stéphane Huot, Maître de conférences (LRI, Université Paris-Sud)

- Rapporteurs :
Carlos Agon, Professeur (IRCAM, Université Paris 6)
Marcelo Wanderley, Associate professor (Schulich School of Music, McGill University)

- Examinateurs :
Christian Jacquemin, Professeur (LIMSI, Université Paris-Sud)
Yannick Prié, Professeur (LINA, Université de Nantes)

Research activities :

Abstract :


Ph.D. dissertations & Faculty habilitations
APPRENTISSAGE ET OPTIMISATION SUR LES GRAPHES


ANALYSE DE DONNéES MULTI-MODALES POUR LES PATHOLOGIES COMPLEXES PAR LA CONCEPTION ET L’IMPLéMENTATION DE PROTOCOLES REPRODUCTIBLES ET RéUTILISABLES


DESIGNING INTERACTIVE TOOLS FOR CREATORS AND CREATIVE WORK
Creative work has been at the core of research in Human-Computer Interaction (HCI). I describe the results of a series of studies that look at how creators work, where creators include artists with years of professional practice, as well as learners, or novices and casual makers. My research focuses on three creation activities: drawing, physical modeling, and music composition. For these activities, I examine how artists switch between representations and how these representations evolve throughout their creative process, from early sketches to fine-grained forms or structured vocabularies. I present interactive systems that enrich their workflow (i) by extending their computer tools with physical user interfaces, or (ii) by making physical materials interactive. I also argue that sketch-based representations can allow for user interfaces that are more personal and less rigid. My presentation will reflect on lessons and limitations of this work and discuss challenges for future design-support tools.