Text analysis using large high-resolution displays

Sven Mayer; Lars Lischke; Valentin Schwind; Markus Gärtner; Eric Hämmerle; Emine Turcan; Florin Rheinwald; Gustav Murawski; Jonas Kuhn; Niels Henze

doi:10.1145/3340764.3340768

Text analysis using large high-resolution displays

Sven Mayer^*
, Lars Lischke
, Valentin Schwind
, Markus Gärtner
, Eric Hämmerle
, Emine Turcan
, Florin Rheinwald
, Gustav Murawski
, Jonas Kuhn
, Niels Henze

^*Corresponding author for this work

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

Abstract

Large high-resolution displays (LHRDs) are entering into our daily life. Today, we already see them in installations where they display tailored applications, e.g. in exhibitions. However, while heavily studied under lab conditions, real-world applications for personal use, which utilize the extended screen space are rarely available. Thus, today’s studies of LHRD are particularly designed to embrace the large screen space. In contrast, in this paper, we investigate a real-world application designed for researchers working on large text corpora to support them in deep text understanding. We conducted a study with 14 experts from the humanities and computational linguistics which solved a text analysis task using a standard desktop version on a 24 inch screen and an LHRD version on three 50 inch screens. Surprisingly, the smaller display condition outperformed the LHRD in terms of task completion time and error rate. While participants appreciated the overview provided by the large screen, qualitative feedback also revealed that the need for head movement and the scrolling mechanism decreased the usability of the LHRD condition.

Original language	English
Title of host publication	Mensch und Computer 2019, MuC 2019 - Tagungsband
Editors	Florian Alt, Andreas Bulling, Tanja Doring
Publisher	Association for Computing Machinery
Pages	189-197
Number of pages	9
ISBN (Electronic)	9781450371988
DOIs	https://doi.org/10.1145/3340764.3340768
Publication status	Published - 8 Sept 2019
Event	2019 Conference on Mensch und Computer, MuC 2019 - Hamburg, Germany Duration: 8 Sept 2019 → 11 Sept 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2019 Conference on Mensch und Computer, MuC 2019
Country/Territory	Germany
City	Hamburg
Period	8/09/19 → 11/09/19

Funding

This work was financially supported by the German Research Foundation (DFG) within Cluster of Excellence in Simulation Technology (EXC 310/2) at the University of Stuttgart, through project C04 of SFB/Transregio 161, and project INF of SFB 732.

Funders	Funder number
Deutsche Forschungsgemeinschaft	EXC 310/2
Universität Stuttgart	SFB/Transregio 161, SFB 732

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

Application study
Large high-resolution displays
Wall-sized display

Access to Document

10.1145/3340764.3340768

Persistent URL (handle)

Persistent link

Cite this

Mayer, S., Lischke, L., Schwind, V., Gärtner, M., Hämmerle, E., Turcan, E., Rheinwald, F., Murawski, G., Kuhn, J., & Henze, N. (2019). Text analysis using large high-resolution displays. In F. Alt, A. Bulling, & T. Doring (Eds.), Mensch und Computer 2019, MuC 2019 - Tagungsband (pp. 189-197). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3340764.3340768

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title = "Text analysis using large high-resolution displays",

abstract = "Large high-resolution displays (LHRDs) are entering into our daily life. Today, we already see them in installations where they display tailored applications, e.g. in exhibitions. However, while heavily studied under lab conditions, real-world applications for personal use, which utilize the extended screen space are rarely available. Thus, today{\textquoteright}s studies of LHRD are particularly designed to embrace the large screen space. In contrast, in this paper, we investigate a real-world application designed for researchers working on large text corpora to support them in deep text understanding. We conducted a study with 14 experts from the humanities and computational linguistics which solved a text analysis task using a standard desktop version on a 24 inch screen and an LHRD version on three 50 inch screens. Surprisingly, the smaller display condition outperformed the LHRD in terms of task completion time and error rate. While participants appreciated the overview provided by the large screen, qualitative feedback also revealed that the need for head movement and the scrolling mechanism decreased the usability of the LHRD condition.",

keywords = "Application study, Large high-resolution displays, Wall-sized display",

author = "Sven Mayer and Lars Lischke and Valentin Schwind and Markus G{\"a}rtner and Eric H{\"a}mmerle and Emine Turcan and Florin Rheinwald and Gustav Murawski and Jonas Kuhn and Niels Henze",

year = "2019",

month = sep,

day = "8",

doi = "10.1145/3340764.3340768",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "189--197",

editor = "Florian Alt and Andreas Bulling and Tanja Doring",

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note = "2019 Conference on Mensch und Computer, MuC 2019 ; Conference date: 08-09-2019 Through 11-09-2019",

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Mayer, S, Lischke, L, Schwind, V, Gärtner, M, Hämmerle, E, Turcan, E, Rheinwald, F, Murawski, G, Kuhn, J & Henze, N 2019, Text analysis using large high-resolution displays. in F Alt, A Bulling & T Doring (eds), Mensch und Computer 2019, MuC 2019 - Tagungsband. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 189-197, 2019 Conference on Mensch und Computer, MuC 2019, Hamburg, Germany, 8/09/19. https://doi.org/10.1145/3340764.3340768

Text analysis using large high-resolution displays. / Mayer, Sven; Lischke, Lars; Schwind, Valentin et al.
Mensch und Computer 2019, MuC 2019 - Tagungsband. ed. / Florian Alt; Andreas Bulling; Tanja Doring. Association for Computing Machinery, 2019. p. 189-197 (ACM International Conference Proceeding Series).

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

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AU - Schwind, Valentin

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AU - Hämmerle, Eric

AU - Turcan, Emine

AU - Rheinwald, Florin

AU - Murawski, Gustav

AU - Kuhn, Jonas

AU - Henze, Niels

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N2 - Large high-resolution displays (LHRDs) are entering into our daily life. Today, we already see them in installations where they display tailored applications, e.g. in exhibitions. However, while heavily studied under lab conditions, real-world applications for personal use, which utilize the extended screen space are rarely available. Thus, today’s studies of LHRD are particularly designed to embrace the large screen space. In contrast, in this paper, we investigate a real-world application designed for researchers working on large text corpora to support them in deep text understanding. We conducted a study with 14 experts from the humanities and computational linguistics which solved a text analysis task using a standard desktop version on a 24 inch screen and an LHRD version on three 50 inch screens. Surprisingly, the smaller display condition outperformed the LHRD in terms of task completion time and error rate. While participants appreciated the overview provided by the large screen, qualitative feedback also revealed that the need for head movement and the scrolling mechanism decreased the usability of the LHRD condition.

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ER -

Text analysis using large high-resolution displays

Abstract

Publication series

Conference

Funding

UN SDGs

Keywords

Access to Document

Persistent URL (handle)

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Cite this