---
_id: '4102'
abstract:
- lang: eng
  text: Complexity is a fundamental part of product design and manufacturing today,
    owing to increased demands for customization and advances in digital design techniques.
    Assembling and repairing such an enormous variety of components means that workers
    are cognitively challenged, take longer to search for the relevant information
    and are prone to making mistakes. Although in recent years deep learning approaches
    to object recognition have seen rapid advances, the combined potential of deep
    learning and augmented reality in the industrial domain remains relatively under
    explored. In this paper we introduce AR-ProMO, a combined hardware/software solution
    that provides a generalizable assistance system for identifying mistakes during
    product assembly and repair.
author:
- first_name: Hitesh
  full_name: Dhiman, Hitesh
  id: '71767'
  last_name: Dhiman
- first_name: Sebastian
  full_name: Büttner, Sebastian
  id: '61868'
  last_name: Büttner
- first_name: Carsten
  full_name: Röcker, Carsten
  id: '61525'
  last_name: Röcker
- first_name: Raphael
  full_name: Reisch, Raphael
  last_name: Reisch
citation:
  ama: 'Dhiman H, Büttner S, Röcker C, Reisch R. Handling Work Complexity with AR/Deep
    Learning. In: <i>Proceedings of the 31st Australian Conference on Human-Computer-Interaction
    (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia</i>. ACM;
    2019:518–522. doi:<a href="https://doi.org/10.1145/3369457.3370919">10.1145/3369457.3370919</a>'
  apa: 'Dhiman, H., Büttner, S., Röcker, C., &#38; Reisch, R. (2019). Handling Work
    Complexity with AR/Deep Learning. In <i>Proceedings of the 31st Australian Conference
    on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle,
    WA, Australia</i> (pp. 518–522). Perth/Fremantle, WA, Australia: ACM. <a href="https://doi.org/10.1145/3369457.3370919">https://doi.org/10.1145/3369457.3370919</a>'
  bjps: '<b>Dhiman H <i>et al.</i></b> (2019) Handling Work Complexity with AR/Deep
    Learning. <i>Proceedings of the 31st Australian Conference on Human-Computer-Interaction
    (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia</i>. ACM,
    pp. 518–522.'
  chicago: 'Dhiman, Hitesh, Sebastian Büttner, Carsten Röcker, and Raphael Reisch.
    “Handling Work Complexity with AR/Deep Learning.” In <i>Proceedings of the 31st
    Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th
    Dec. 2019, Perth/Fremantle, WA, Australia</i>, 518–522. ACM, 2019. <a href="https://doi.org/10.1145/3369457.3370919">https://doi.org/10.1145/3369457.3370919</a>.'
  chicago-de: 'Dhiman, Hitesh, Sebastian Büttner, Carsten Röcker und Raphael Reisch.
    2019. Handling Work Complexity with AR/Deep Learning. In: <i>Proceedings of the
    31st Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th
    Dec. 2019, Perth/Fremantle, WA, Australia</i>, 518–522. ACM. doi:<a href="https://doi.org/10.1145/3369457.3370919,">10.1145/3369457.3370919,</a>
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Dhiman, Hitesh</span> ; <span
    style="font-variant:small-caps;">Büttner, Sebastian</span> ; <span style="font-variant:small-caps;">Röcker,
    Carsten</span> ; <span style="font-variant:small-caps;">Reisch, Raphael</span>:
    Handling Work Complexity with AR/Deep Learning. In: <i>Proceedings of the 31st
    Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th
    Dec. 2019, Perth/Fremantle, WA, Australia</i> : ACM, 2019, S. 518–522'
  havard: 'H. Dhiman, S. Büttner, C. Röcker, R. Reisch, Handling Work Complexity with
    AR/Deep Learning, in: Proceedings of the 31st Australian Conference on Human-Computer-Interaction
    (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia, ACM, 2019:
    pp. 518–522.'
  ieee: 'H. Dhiman, S. Büttner, C. Röcker, and R. Reisch, “Handling Work Complexity
    with AR/Deep Learning,” in <i>Proceedings of the 31st Australian Conference on
    Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle,
    WA, Australia</i>, Perth/Fremantle, WA, Australia, 2019, pp. 518–522.'
  mla: 'Dhiman, Hitesh, et al. “Handling Work Complexity with AR/Deep Learning.” <i>Proceedings
    of the 31st Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd
    Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia</i>, ACM, 2019, pp. 518–522,
    doi:<a href="https://doi.org/10.1145/3369457.3370919">10.1145/3369457.3370919</a>.'
  short: 'H. Dhiman, S. Büttner, C. Röcker, R. Reisch, in: Proceedings of the 31st
    Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th
    Dec. 2019, Perth/Fremantle, WA, Australia, ACM, 2019, pp. 518–522.'
  ufg: '<b>Dhiman, Hitesh et. al. (2019)</b>: Handling Work Complexity with AR/Deep
    Learning, in: <i>Proceedings of the 31st Australian Conference on Human-Computer-Interaction
    (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia</i>, S. 518–522.'
  van: 'Dhiman H, Büttner S, Röcker C, Reisch R. Handling Work Complexity with AR/Deep
    Learning. In: Proceedings of the 31st Australian Conference on Human-Computer-Interaction
    (OzCHI’19) : 2nd Dec-5th Dec 2019, Perth/Fremantle, WA, Australia. ACM; 2019.
    p. 518–522.'
conference:
  end_date: 2019-12-05
  location: Perth/Fremantle, WA, Australia
  name: '31st Australian Conference on Human-Computer-Interaction (OzCHI''19) '
  start_date: 201912-02
date_created: 2020-11-27T10:22:40Z
date_updated: 2023-03-15T13:49:50Z
department:
- _id: DEP5023
doi: 10.1145/3369457.3370919
keyword:
- Augmented Reality
- Deep Learning
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1145/3369457.3370919
oa: '1'
page: ' 518–522'
publication: 'Proceedings of the 31st Australian Conference on Human-Computer-Interaction
  (OzCHI''19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia'
publication_identifier:
  isbn:
  - 978-1-4503-7696-9
publication_status: published
publisher: ACM
status: public
title: Handling Work Complexity with AR/Deep Learning
type: conference
user_id: '15514'
year: 2019
...
