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extended-abstract

Augmenting human interaction capabilities with proximity, natural gestures, and eye gaze

Published:04 September 2017Publication History

ABSTRACT

Nowadays, humans are surrounded by many complex computer systems. When people interact among each other, they use multiple modalities including voice, body posture, hand gestures, facial expressions, or eye gaze. Currently, computers can only understand a small subset of these modalities, but such cues can be captured by an increasing number of wearable devices. This research aims to improve traditional human-human and human-machine interaction by augmenting humans with wearable technology and developing novel user interfaces.

More specifically, (i) we investigate and develop systems that enable a group of people in close proximity to interact using in-air hand gestures and facilitate effortless information sharing. Additionally, we focus on (ii) eye gaze which can further enrich the interaction between humans and cyber-physical systems.

References

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  2. Mihai Bâce, Gábor Sörös, Sander Staal, and Giorgio Corbellini. HandshakAR: Wearable Augmented Reality System for Effortless Information Sharing. In Proc. Augmented Human '17. 34:1--34:5. Google ScholarGoogle ScholarDigital LibraryDigital Library
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    • Published in

      cover image ACM Conferences
      MobileHCI '17: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services
      September 2017
      874 pages
      ISBN:9781450350754
      DOI:10.1145/3098279

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 September 2017

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      • extended-abstract

      Acceptance Rates

      MobileHCI '17 Paper Acceptance Rate45of224submissions,20%Overall Acceptance Rate202of906submissions,22%

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