---
_id: '53816'
abstract:
- lang: eng
  text: Augmented (AR) and Virtual Reality (VR) technologies have been applied very
    broadly in the recent past. While prior work emphasizes the potential of these
    technologies in various application domains, the process of visual attention in
    and across the contexts of AR/VR environments is not exhaustively explored yet.
    By now, visual attention in AR/VR environments has majorly been studied by means
    of overt attention (i.e. saccadic eye movements), self-report, and process-related
    visual attention proxies (like reaction time). In this work, we analyze covert
    visual attention based on the (psychological) Theory of Visual Attention (TVA),
    which allows us to quantify theory-based interpretable properties of the visual
    attention process. For example, the TVA allows us to measure the overall processing
    speed. We instantiate this TVA-based framework with a 30-participant explorative
    within-subjects study. The results show a decisive difference in visual attention
    between Reality (i.e. the neutral condition) and Virtual Reality and a weak difference
    between Reality and Augmented Reality. We discuss the consequences of our findings
    and provide ideas for future studies.
author:
- first_name: Kai
  full_name: Biermeier, Kai
  id: '55908'
  last_name: Biermeier
  orcid: 0000-0002-2879-2359
- first_name: Ingrid
  full_name: Scharlau, Ingrid
  id: '451'
  last_name: Scharlau
  orcid: 0000-0003-2364-9489
- first_name: Enes
  full_name: Yigitbas, Enes
  id: '8447'
  last_name: Yigitbas
  orcid: 0000-0002-5967-833X
citation:
  ama: 'Biermeier K, Scharlau I, Yigitbas E. Measuring Visual Attention Capacity Across
    xReality. In: <i>Proceedings of the 17th International Conference on PErvasive
    Technologies Related to Assistive Environments (PETRA 2024)</i>. ACM; 2024. doi:<a
    href="https://doi.org/10.1145/3652037.3652050">10.1145/3652037.3652050</a>'
  apa: Biermeier, K., Scharlau, I., &#38; Yigitbas, E. (2024). Measuring Visual Attention
    Capacity Across xReality. <i>Proceedings of the 17th International Conference
    on PErvasive Technologies Related to Assistive Environments (PETRA 2024)</i>.
    <a href="https://doi.org/10.1145/3652037.3652050">https://doi.org/10.1145/3652037.3652050</a>
  bibtex: '@inproceedings{Biermeier_Scharlau_Yigitbas_2024, title={Measuring Visual
    Attention Capacity Across xReality}, DOI={<a href="https://doi.org/10.1145/3652037.3652050">10.1145/3652037.3652050</a>},
    booktitle={Proceedings of the 17th International Conference on PErvasive Technologies
    Related to Assistive Environments (PETRA 2024)}, publisher={ACM}, author={Biermeier,
    Kai and Scharlau, Ingrid and Yigitbas, Enes}, year={2024} }'
  chicago: Biermeier, Kai, Ingrid Scharlau, and Enes Yigitbas. “Measuring Visual Attention
    Capacity Across XReality.” In <i>Proceedings of the 17th International Conference
    on PErvasive Technologies Related to Assistive Environments (PETRA 2024)</i>.
    ACM, 2024. <a href="https://doi.org/10.1145/3652037.3652050">https://doi.org/10.1145/3652037.3652050</a>.
  ieee: 'K. Biermeier, I. Scharlau, and E. Yigitbas, “Measuring Visual Attention Capacity
    Across xReality,” 2024, doi: <a href="https://doi.org/10.1145/3652037.3652050">10.1145/3652037.3652050</a>.'
  mla: Biermeier, Kai, et al. “Measuring Visual Attention Capacity Across XReality.”
    <i>Proceedings of the 17th International Conference on PErvasive Technologies
    Related to Assistive Environments (PETRA 2024)</i>, ACM, 2024, doi:<a href="https://doi.org/10.1145/3652037.3652050">10.1145/3652037.3652050</a>.
  short: 'K. Biermeier, I. Scharlau, E. Yigitbas, in: Proceedings of the 17th International
    Conference on PErvasive Technologies Related to Assistive Environments (PETRA
    2024), ACM, 2024.'
date_created: 2024-05-02T10:28:03Z
date_updated: 2024-07-08T08:32:21Z
department:
- _id: '66'
- _id: '534'
- _id: '424'
doi: 10.1145/3652037.3652050
keyword:
- Visual Attention
- TVA
- Cognitive Modelling
- Bayesian Modelling
- AR
- VR
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://dl.acm.org/doi/pdf/10.1145/3652037.3652050
oa: '1'
publication: Proceedings of the 17th International Conference on PErvasive Technologies
  Related to Assistive Environments (PETRA 2024)
publisher: ACM
status: public
title: Measuring Visual Attention Capacity Across xReality
type: conference
user_id: '55908'
year: '2024'
...
---
_id: '33957'
abstract:
- lang: eng
  text: Manufacturing companies are challenged to make the increasingly complex work
    processes equally manageable for all employees to prevent an impending loss of
    competence. In this contribution, an intelligent assistance system is proposed
    enabling employees to help themselves in the workplace and provide them with competence-related
    support. This results in increasing the short- and long-term efficiency of problem
    solving in companies.
author:
- first_name: Sahar
  full_name: Deppe, Sahar
  last_name: Deppe
- first_name: Lukas
  full_name: Brandt, Lukas
  last_name: Brandt
- first_name: Marc
  full_name: Brünninghaus, Marc
  last_name: Brünninghaus
- first_name: Jörg
  full_name: Papenkordt, Jörg
  id: '44648'
  last_name: Papenkordt
- first_name: Stefan
  full_name: Heindorf, Stefan
  id: '11871'
  last_name: Heindorf
  orcid: 0000-0002-4525-6865
- first_name: Gudrun
  full_name: Tschirner-Vinke, Gudrun
  last_name: Tschirner-Vinke
citation:
  ama: Deppe S, Brandt L, Brünninghaus M, Papenkordt J, Heindorf S, Tschirner-Vinke
    G. AI-Based Assistance System for Manufacturing. Published online 2022. doi:<a
    href="https://doi.org/10.1109/ETFA52439.2022.9921520">10.1109/ETFA52439.2022.9921520</a>
  apa: Deppe, S., Brandt, L., Brünninghaus, M., Papenkordt, J., Heindorf, S., &#38;
    Tschirner-Vinke, G. (2022). <i>AI-Based Assistance System for Manufacturing</i>.
    ETFA, Stuttgart. <a href="https://doi.org/10.1109/ETFA52439.2022.9921520">https://doi.org/10.1109/ETFA52439.2022.9921520</a>
  bibtex: '@article{Deppe_Brandt_Brünninghaus_Papenkordt_Heindorf_Tschirner-Vinke_2022,
    series={2022 IEEE 27th International Conference on Emerging Technologies and Factory
    Automation (ETFA)}, title={AI-Based Assistance System for Manufacturing}, DOI={<a
    href="https://doi.org/10.1109/ETFA52439.2022.9921520">10.1109/ETFA52439.2022.9921520</a>},
    author={Deppe, Sahar and Brandt, Lukas and Brünninghaus, Marc and Papenkordt,
    Jörg and Heindorf, Stefan and Tschirner-Vinke, Gudrun}, year={2022}, collection={2022
    IEEE 27th International Conference on Emerging Technologies and Factory Automation
    (ETFA)} }'
  chicago: Deppe, Sahar, Lukas Brandt, Marc Brünninghaus, Jörg Papenkordt, Stefan
    Heindorf, and Gudrun Tschirner-Vinke. “AI-Based Assistance System for Manufacturing.”
    2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation
    (ETFA), 2022. <a href="https://doi.org/10.1109/ETFA52439.2022.9921520">https://doi.org/10.1109/ETFA52439.2022.9921520</a>.
  ieee: 'S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, and G.
    Tschirner-Vinke, “AI-Based Assistance System for Manufacturing.” 2022, doi: <a
    href="https://doi.org/10.1109/ETFA52439.2022.9921520">10.1109/ETFA52439.2022.9921520</a>.'
  mla: Deppe, Sahar, et al. <i>AI-Based Assistance System for Manufacturing</i>. 2022,
    doi:<a href="https://doi.org/10.1109/ETFA52439.2022.9921520">10.1109/ETFA52439.2022.9921520</a>.
  short: S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, G. Tschirner-Vinke,
    (2022).
conference:
  end_date: 2022-09-09
  location: Stuttgart
  name: ETFA
  start_date: 2022-09-06
date_created: 2022-10-28T11:43:49Z
date_updated: 2023-11-23T08:07:51Z
department:
- _id: '178'
- _id: '574'
- _id: '184'
doi: 10.1109/ETFA52439.2022.9921520
keyword:
- Assistance system
- Knowledge graph
- Information retrieval
- Neural networks
- AR
language:
- iso: eng
project:
- _id: '409'
  grant_number: 02L19C115
  name: 'KIAM: KIAM: Kompetenzzentrum KI in der Arbeitswelt des industriellen Mittelstands
    in OstWestfalenLippe'
related_material:
  link:
  - relation: confirmation
    url: https://ieeexplore.ieee.org/document/9921520
series_title: 2022 IEEE 27th International Conference on Emerging Technologies and
  Factory Automation (ETFA)
status: public
title: AI-Based Assistance System for Manufacturing
type: conference
user_id: '44648'
year: '2022'
...
---
_id: '33914'
abstract:
- lang: eng
  text: Workshops on business model generation lead to collaborative work phases and
    discussions on business models. Therefore, tools such as the Business Model Canvas
    are used, typically filled with sticky notes. Generated content needs to be digitized
    in a time-consuming manual follow-up as part of the documentation and basis for
    a further use of the results in the company. In addition, there are challenges,
    such as decentralized work and digital workshop formats. Augmented Reality offers
    a way to reduce the digitization effort and enables decentralized work. In this
    research, the potentials of the use of AR technology in workshops on business
    model generation is investigated. Therefore, functions are implemented and evaluated
    in a demonstrator that reduces digitization effort and enable distributed work.
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Benedikt
  full_name: Grewe, Benedikt
  id: '52359'
  last_name: Grewe
- first_name: Hendrik
  full_name: Kramer, Hendrik
  last_name: Kramer
- first_name: Jens
  full_name: Pottebaum, Jens
  id: '405'
  last_name: Pottebaum
  orcid: http://orcid.org/0000-0001-8778-2989
citation:
  ama: 'Gräßler I, Grewe B, Kramer H, Pottebaum J. Supporting Business Model Generation
    with Augmented Reality. In: <i>LUT Scientific and Expertise Publications</i>.
    ; 2022.'
  apa: Gräßler, I., Grewe, B., Kramer, H., &#38; Pottebaum, J. (2022). Supporting
    Business Model Generation with Augmented Reality. <i>LUT Scientific and Expertise
    Publications</i>. 33. ISPIM Innovation Conference “Innovating in a Digital World,”
    Copenhagen.
  bibtex: '@inproceedings{Gräßler_Grewe_Kramer_Pottebaum_2022, place={Manchester},
    title={Supporting Business Model Generation with Augmented Reality}, booktitle={LUT
    Scientific and Expertise Publications}, author={Gräßler, Iris and Grewe, Benedikt
    and Kramer, Hendrik and Pottebaum, Jens}, year={2022} }'
  chicago: Gräßler, Iris, Benedikt Grewe, Hendrik Kramer, and Jens Pottebaum. “Supporting
    Business Model Generation with Augmented Reality.” In <i>LUT Scientific and Expertise
    Publications</i>. Manchester, 2022.
  ieee: I. Gräßler, B. Grewe, H. Kramer, and J. Pottebaum, “Supporting Business Model
    Generation with Augmented Reality,” presented at the 33. ISPIM Innovation Conference
    “Innovating in a Digital World,” Copenhagen, 2022.
  mla: Gräßler, Iris, et al. “Supporting Business Model Generation with Augmented
    Reality.” <i>LUT Scientific and Expertise Publications</i>, 2022.
  short: 'I. Gräßler, B. Grewe, H. Kramer, J. Pottebaum, in: LUT Scientific and Expertise
    Publications, Manchester, 2022.'
conference:
  end_date: 2022-06-08
  location: Copenhagen
  name: 33. ISPIM Innovation Conference "Innovating in a Digital World"
  start_date: 2022-06-05
date_created: 2022-10-27T13:20:22Z
date_updated: 2026-04-13T07:59:12Z
ddc:
- '620'
department:
- _id: '152'
has_accepted_license: '1'
keyword:
- business model generation
- augmented reality
- workshop
- collaborative work
- digitization
- AR-supported workshop concept
- immersive technologies
- decentralized work
- business model canvas
language:
- iso: eng
place: Manchester
publication: LUT Scientific and Expertise Publications
publication_identifier:
  unknown:
  - 978-952-335-694-8
publication_status: published
quality_controlled: '1'
status: public
title: Supporting Business Model Generation with Augmented Reality
type: conference
user_id: '5905'
year: '2022'
...