ECSGlasses and EyePliances: using attention to open sociable windows of interaction

  • Authors:

  • Jeffrey S. Shell;Roel Vertegaal;Daniel Cheng;Alexander W. Skaburskis;Changuk Sohn;A. James Stewart;Omar Aoudeh;Connor Dickie

  • Affiliations:

  • Human Media Lab, Queen's University, Kingston, ON, Canada K7L 3N6 and School Of Computing, Queen's University, Kingston, ON, Canada K7L 3N6;Human Media Lab, Queen's University, Kingston, ON, Canada K7L 3N6 and School Of Computing, Queen's University, Kingston, ON, Canada K7L 3N6;Human Media Lab, Queen's University, Kingston, ON, Canada K7L 3N6 and School Of Computing, Queen's University, Kingston, ON, Canada K7L 3N6;Human Media Lab, Queen's University, Kingston, ON, Canada K7L 3N6 and School Of Computing, Queen's University, Kingston, ON, Canada K7L 3N6;Human Media Lab, Queen's University, Kingston, ON, Canada K7L 3N6 and School Of Computing, Queen's University, Kingston, ON, Canada K7L 3N6;School Of Computing, Queen's University, Kingston, ON, Canada K7L 3N6;Human Media Lab, Queen's University, Kingston, ON, Canada K7L 3N6;Human Media Lab, Queen's University, Kingston, ON, Canada K7L 3N6 and School Of Computing, Queen's University, Kingston, ON, Canada K7L 3N6

  • Venue:
  • Proceedings of the 2004 symposium on Eye tracking research & applications
  • Year:
  • 2004

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Abstract

We present ECSGlasses: wearable eye contact sensing glasses that detect human eye contact. ECSGlasses report eye contact to digital devices, appliances and EyePliances in the user's attention space. Devices use this attentional cue to engage in a more sociable process of turn taking with users. This has the potential to reduce inappropriate intrusions, and limit their disruptiveness. We describe new prototype systems, including the Attentive Messaging Service (AMS), the Attentive Hit Counter, the first person attentive camcorder eyeBlog, and an updated Attentive Cell Phone. We also discuss the potential of these devices to open new windows of interaction using attention as a communication modality. Further, we present a novel signal-encoding scheme to uniquely identify EyePliances and users wearing ECSGlasses in multiparty scenarios.