Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 221-238

Finding Objects Faster in Dense Environments Using a Projection Augmented Robotic Arm

  • Hind Gacem
  • Gilles Bailly
  • James Eagan
  • Eric Lecolinet
Conference paper

DOI: 10.1007/978-3-319-22698-9_15

Volume 9298 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Gacem H., Bailly G., Eagan J., Lecolinet E. (2015) Finding Objects Faster in Dense Environments Using a Projection Augmented Robotic Arm. In: Abascal J., Barbosa S., Fetter M., Gross T., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2015. INTERACT 2015. Lecture Notes in Computer Science, vol 9298. Springer, Cham

Abstract

Locating an object in an unfamiliar and dense physical environment, such as a control room, supermarket, or warehouse, can be challenging. In this paper, we present the Projection-Augmented Arm (PAA), a motorized robotic arm augmented with a pico-projector to help users to localize targets in such environments. The arm moves and displays a projected spotlight on the target. We present the results of a study that shows that the PAA helps users to more quickly locate target objects in a dense environment. We further study the influence of the visibility of the projected spotlight while moving versus that of the physical movement of the projection arm on user performance and search strategy, finding that (1) information about the orientation of the arm has a stronger impact on performance than moving spotlight projected on the search space; (2) the orientation of the arm is useful (24 % improvement) and especially when the target is behind the user (26 % improvement); and (3) users’ strategies relied mainly on the arm when it is visible.

Keywords

Guidance techniques Augmented arm Steerable pico-projector 

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Hind Gacem
    • 1
    • 2
  • Gilles Bailly
    • 1
    • 2
  • James Eagan
    • 1
    • 2
  • Eric Lecolinet
    • 1
    • 2
  1. 1.Télécom ParisTechParisFrance
  2. 2.CNRS LTCI UMR 5141ParisFrance