Exploring Relations in Neuroscientific Literature using Augmented Reality: A Design Study

Ivar Troost; Ghazaleh Tanhaei; Lynda Hardman; Wolfgang Hürst

doi:10.1145/3461778.3462053

Exploring Relations in Neuroscientific Literature using Augmented Reality: A Design Study

Ivar Troost, Ghazaleh Tanhaei, Lynda Hardman, Wolfgang Hürst

Utrecht University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

To support scientists in maintaining an overview of disciplinary concepts and their interrelations, we investigate whether Augmented Reality can serve as a platform to make automated methods more accessible and integrated into current literature exploration practices. Building on insights from text and immersive analytics, we identify information and design requirements. We embody these in DatAR, a system design and implementation focussed on analysis of co-occurrences in neuroscientific text collections. We conducted a scenario-based video survey with a sample of neuroscientists and other domain experts, focusing on participants' willingness to adopt such an AR system in their regular literature review practices. The AR-tailored epistemic and representational designs of our system were generally perceived as suitable for performing complex analytics. We also discuss several fundamental issues with our chosen 3D visualisations, making steps towards understanding in which ways AR is a suitable medium for high-level conceptual literature exploration.

Original language	English
Title of host publication	DIS '21
Subtitle of host publication	Designing Interactive Systems Conference 2021
Editors	Wendy Ju, Lora Oehlberg, Sean Follmer, Sarah Fox, Stacey Kuznetsov
Publisher	Association for Computing Machinery
Pages	266-274
Number of pages	9
ISBN (Electronic)	978-1-4503-8476-6
DOIs	https://doi.org/10.1145/3461778.3462053
Publication status	Published - 28 Jun 2021
Event	2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere, DIS 2021 - Virtual, Online, United States Duration: 28 Jun 2021 → 2 Jul 2021

Conference

Conference	2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere, DIS 2021
Country/Territory	United States
City	Virtual, Online
Period	28/06/21 → 2/07/21

Bibliographical note

Funding Information:
We would like to thank Cunqing Huangfu, Research Center for Brain-inspired Intelligence at the Institute of Automation, Chinese Academy of Sciences, for helping us survey the problem domain and for his attentiveness in resolving any BAG-related data problems. Tessa Heeroma and Anna van Harmelen helped to link various external data sources. The second author is supported by a scholarship from the Iranian Ministry of Science, Research and Technology. This publication is based on the MSc thesis by the first author [30].

Publisher Copyright:
© 2021 Owner/Author.

Funding

We would like to thank Cunqing Huangfu, Research Center for Brain-inspired Intelligence at the Institute of Automation, Chinese Academy of Sciences, for helping us survey the problem domain and for his attentiveness in resolving any BAG-related data problems. Tessa Heeroma and Anna van Harmelen helped to link various external data sources. The second author is supported by a scholarship from the Iranian Ministry of Science, Research and Technology. This publication is based on the MSc thesis by the first author [30].

Keywords

augmented reality
immersive analytics
linked data
literature exploration
neuroscience

Access to Document

10.1145/3461778.3462053Licence: CC BY

3461778.3462053Final published version, 9.35 MBLicence: CC BY

Cite this

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title = "Exploring Relations in Neuroscientific Literature using Augmented Reality: A Design Study",

abstract = "To support scientists in maintaining an overview of disciplinary concepts and their interrelations, we investigate whether Augmented Reality can serve as a platform to make automated methods more accessible and integrated into current literature exploration practices. Building on insights from text and immersive analytics, we identify information and design requirements. We embody these in DatAR, a system design and implementation focussed on analysis of co-occurrences in neuroscientific text collections. We conducted a scenario-based video survey with a sample of neuroscientists and other domain experts, focusing on participants' willingness to adopt such an AR system in their regular literature review practices. The AR-tailored epistemic and representational designs of our system were generally perceived as suitable for performing complex analytics. We also discuss several fundamental issues with our chosen 3D visualisations, making steps towards understanding in which ways AR is a suitable medium for high-level conceptual literature exploration.",

keywords = "augmented reality, immersive analytics, linked data, literature exploration, neuroscience",

author = "Ivar Troost and Ghazaleh Tanhaei and Lynda Hardman and Wolfgang H{\"u}rst",

note = "Funding Information: We would like to thank Cunqing Huangfu, Research Center for Brain-inspired Intelligence at the Institute of Automation, Chinese Academy of Sciences, for helping us survey the problem domain and for his attentiveness in resolving any BAG-related data problems. Tessa Heeroma and Anna van Harmelen helped to link various external data sources. The second author is supported by a scholarship from the Iranian Ministry of Science, Research and Technology. This publication is based on the MSc thesis by the first author [30]. Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere, DIS 2021 ; Conference date: 28-06-2021 Through 02-07-2021",

year = "2021",

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doi = "10.1145/3461778.3462053",

language = "English",

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editor = "Ju, {Wendy } and Oehlberg, {Lora } and Follmer, {Sean } and Fox, {Sarah } and Kuznetsov, {Stacey }",

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publisher = "Association for Computing Machinery",

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Troost, I, Tanhaei, G, Hardman, L & Hürst, W 2021, Exploring Relations in Neuroscientific Literature using Augmented Reality: A Design Study. in W Ju, L Oehlberg, S Follmer, S Fox & S Kuznetsov (eds), DIS '21: Designing Interactive Systems Conference 2021. Association for Computing Machinery, pp. 266-274, 2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere, DIS 2021, Virtual, Online, United States, 28/06/21. https://doi.org/10.1145/3461778.3462053

Exploring Relations in Neuroscientific Literature using Augmented Reality: A Design Study. / Troost, Ivar; Tanhaei, Ghazaleh; Hardman, Lynda et al.
DIS '21: Designing Interactive Systems Conference 2021. ed. / Wendy Ju; Lora Oehlberg; Sean Follmer; Sarah Fox; Stacey Kuznetsov. Association for Computing Machinery, 2021. p. 266-274.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Funding Information: We would like to thank Cunqing Huangfu, Research Center for Brain-inspired Intelligence at the Institute of Automation, Chinese Academy of Sciences, for helping us survey the problem domain and for his attentiveness in resolving any BAG-related data problems. Tessa Heeroma and Anna van Harmelen helped to link various external data sources. The second author is supported by a scholarship from the Iranian Ministry of Science, Research and Technology. This publication is based on the MSc thesis by the first author [30]. Publisher Copyright: © 2021 Owner/Author.

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N2 - To support scientists in maintaining an overview of disciplinary concepts and their interrelations, we investigate whether Augmented Reality can serve as a platform to make automated methods more accessible and integrated into current literature exploration practices. Building on insights from text and immersive analytics, we identify information and design requirements. We embody these in DatAR, a system design and implementation focussed on analysis of co-occurrences in neuroscientific text collections. We conducted a scenario-based video survey with a sample of neuroscientists and other domain experts, focusing on participants' willingness to adopt such an AR system in their regular literature review practices. The AR-tailored epistemic and representational designs of our system were generally perceived as suitable for performing complex analytics. We also discuss several fundamental issues with our chosen 3D visualisations, making steps towards understanding in which ways AR is a suitable medium for high-level conceptual literature exploration.

AB - To support scientists in maintaining an overview of disciplinary concepts and their interrelations, we investigate whether Augmented Reality can serve as a platform to make automated methods more accessible and integrated into current literature exploration practices. Building on insights from text and immersive analytics, we identify information and design requirements. We embody these in DatAR, a system design and implementation focussed on analysis of co-occurrences in neuroscientific text collections. We conducted a scenario-based video survey with a sample of neuroscientists and other domain experts, focusing on participants' willingness to adopt such an AR system in their regular literature review practices. The AR-tailored epistemic and representational designs of our system were generally perceived as suitable for performing complex analytics. We also discuss several fundamental issues with our chosen 3D visualisations, making steps towards understanding in which ways AR is a suitable medium for high-level conceptual literature exploration.

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M3 - Conference contribution

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BT - DIS '21

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A2 - Oehlberg, Lora

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ER -

Exploring Relations in Neuroscientific Literature using Augmented Reality: A Design Study

Abstract

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Bibliographical note

Funding

Keywords

Access to Document

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