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Lucida: Enhancing the Creation of Photography Through Semantic, Sympathetic, Augmented, Voice Agent Interaction

  • Brad Wrobleski
  • Alexander Ivanov
  • Eric Eidelberg
  • Katayoon Etemad
  • Denis Gadbois
  • Christian Jacob
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10903)

Abstract

We present a dynamic framework for the integration of Machine Learning (ML), Augmented Reality (AR), Affective Computing (AC), Natural Language Processing (NLP) and Computer Vision (CV) to make possible, the development of a mobile, sympathetic, ambient (virtual), augmented intelligence (Agent). For this study we developed a prototype agent to assist photographers to enhance the learning and creation of photography. Learning the art of photography is complicated by the technical complexity of the camera, the limitations of the user to see photographically and the lack of real time instruction and emotive support. The study looked at the interaction patterns between human student and instructor, the disparity between human vision and the camera, and the potential of an ambient agent to assist students in learning. The study measured the efficacy of the agent and its ability to transmute human-to-Human method of instruction to human-to-Agent interaction. This study illuminates the effectiveness of Agent based instruction. We demonstrate that a mobile, semantic, sympathetic, augmented intelligence, ambient agent can ameliorate learning photography metering in real time, ‘on location’. We show that the integration of specific technologies and design produces an effective architecture for the creation of augmented agent-based instruction.

Keywords

Affective Computing Augmented Reality Agent Machine Learning Natural Language Processing Computer Vision Voice interaction Instructional technology 

Notes

Acknowledgements

The research team would like to thank Rick Young, Jill Hockaday, Rob Leedham and John Brosz for their assistance with this research.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Brad Wrobleski
    • 1
  • Alexander Ivanov
    • 1
  • Eric Eidelberg
    • 1
  • Katayoon Etemad
    • 1
  • Denis Gadbois
    • 1
  • Christian Jacob
    • 1
  1. 1.Computational Media Design and Department of Computer ScienceUniversity of CalgaryCalgaryCanada

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