Visual Methods for the Design of Shape-Changing Interfaces - Human-Computer Interaction Access content directly
Conference Papers Year : 2019

Visual Methods for the Design of Shape-Changing Interfaces

Miriam Sturdee
  • Function : Author
  • PersonId : 1068678
Aluna Everitt
  • Function : Author
  • PersonId : 1068679
Joseph Lindley
  • Function : Author
  • PersonId : 1068680
Paul Coulton
  • Function : Author
  • PersonId : 999722
Jason Alexander
  • Function : Author
  • PersonId : 1005461

Abstract

Shape-changing interfaces use physical change in shape as input and/or output. As the field matures, it will move from technology-driven design toward more formal processes. However, this is challenging: end-users are not aware of the capabilities of shape-change, devices are difficult to demonstrate, and presenting single systems can ‘trap’ user-thinking into particular forms. It is crucial to ensure this technology is developed with requirements in mind to ensure successful end-user experiences. To address this challenge, we developed and tested (n = 50) an approach that combines low-fidelity white-box prototypes and high-fidelity video footage with end-user diagram and scenario sketching to design context dependent devices. We analysed the outputs of our test process and identified themes in device design requirements, and from this constructed a shape-change stack model to support practitioners in developing, classifying, and synthesising end-user requirements for this novel technology.
Fichier principal
Vignette du fichier
488593_1_En_19_Chapter.pdf (3.61 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02553913 , version 1 (24-04-2020)

Licence

Attribution

Identifiers

Cite

Miriam Sturdee, Aluna Everitt, Joseph Lindley, Paul Coulton, Jason Alexander. Visual Methods for the Design of Shape-Changing Interfaces. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.337-358, ⟨10.1007/978-3-030-29387-1_19⟩. ⟨hal-02553913⟩
37 View
85 Download

Altmetric

Share

Gmail Facebook X LinkedIn More