Model-Based Product Configuration in Augmented Reality Applications - Human-Centered Software Engineering Access content directly
Conference Papers Year : 2020

Model-Based Product Configuration in Augmented Reality Applications

Sebastian Gottschalk
  • Function : Author
  • PersonId : 1101207
Enes Yigitbas
  • Function : Author
  • PersonId : 1101208
Eugen Schmidt
  • Function : Author
  • PersonId : 1101209
Gregor Engels
  • Function : Author
  • PersonId : 1101210

Abstract

Augmented Reality (AR) has recently found high attention in mobile shopping apps such as in domains like furniture or decoration. Here, the developers of the apps focus on the positioning of atomic 3D objects in the physical environment. With this focus, they neglect the configuration of multi-faceted 3D object composition according to the user needs and environmental constraints. To tackle these challenges, we present a model-based approach to support AR-assisted product configuration based on the concept of Dynamic Software Product Lines. Our approach splits products (e.g. table) into parts (e.g. tabletop, table legs, funnier) with their 3D objects and additional information (e.g. name, price). The possible products, which can be configured out of these parts, are stored in a feature model. At runtime, this feature model can be used to configure 3D object compositions out of the product parts and adapt to user needs and environmental constraints. The benefits of this approach are demonstrated by a case study of configuring modular kitchens with the help of a prototypical mobile-based implementation.
Fichier principal
Vignette du fichier
497999_1_En_5_Chapter.pdf (2.14 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03250496 , version 1 (04-06-2021)

Licence

Attribution

Identifiers

Cite

Sebastian Gottschalk, Enes Yigitbas, Eugen Schmidt, Gregor Engels. Model-Based Product Configuration in Augmented Reality Applications. 8th International Conference on Human-Centred Software Engineering (HCSE), Nov 2020, Eindhoven, Netherlands. pp.84-104, ⟨10.1007/978-3-030-64266-2_5⟩. ⟨hal-03250496⟩
58 View
62 Download

Altmetric

Share

Gmail Facebook X LinkedIn More