Promoting and improving discoverability in interactive systems

Latest news:

2020 Oct. 21:

Congratulations to Nicole Pong who defended her PhD investigating the interaction with signifierless designs in which she describes a preliminary conceptual model of how users may discover interactions in GUI.

2020 Oct. 1:

Eva Mackamul starts an ANR-Funded PhD at Inria, to work on the design, implementation and evaluation of discoverable GUIs. Welcome Eva!

2020 May. 25:

Research paper from K. Fennedy in collaboration with S. Malacria, Y. Lee and S. Perrault on the performance and usage of input methods for soft keyboard hotkeys has been accepted to Mobile HCI 2020.

Discovery is a project funded by The French National Research Agency (ANR) under the funding scheme code ANR-19-CE33-0006. The project started in January 2020 for an initial duration of 4 years. It investigates a fundamental limitation in the way interactive systems are usually designed, as in practice they do not tend to foster the discovery of their input methods (operations that can be used to communicate with the system) and corresponding features (commands and functionalities that the system supports). Indeed, advances in academic and industrial HCI research have led to the recent release of novel commercial interactive systems (e.g. smartphones, smartwatches, VR) relying on various input methods, and we argue that a poor discoverability of these input methods can significantly impact the adoption of these interactive systems.

We will investigate this issue with a focus on three main objectives:

  • Providing fundamental knowledge on human factors influencing the discovery of input methods
  • Defining experimental protocols adapted to the evaluation of discoverability
  • Proposing UI refinements and reflective interfaces that would fost the discovery of input methods