Summary of the workshop on visual methods and analyzing visual data in human computer interaction

Zezhong Wang; Samuel Huron; Miriam Sturdee; Sheelagh Carpendale

doi:10.1145/3696762.3698047

Summary of the workshop on visual methods and analyzing visual data in human computer interaction

Zezhong Wang, Samuel Huron, Miriam Sturdee, Sheelagh Carpendale

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Visual methods have become increasingly vital in Human Computer Interaction (HCI) research, particularly as we analyze and interpret the complex visual data that emerges from various interaction modalities. However, the methodologies for analyzing this visual data remain underdeveloped compared to textual data analysis. This workshop seeks to unite HCI researchers who work with visual data-such as hand sketches, photographs, physical artifacts, UI screenshots, videos, and information visualizations-To identify, name, and categorize methods for analyzing visual data in HCI.

Original language	English
Title of host publication	ISS companion '24
Subtitle of host publication	companion proceedings of the 2024 conference on interactive surfaces and spaces
Editors	Barrett Ens, Sheelagh Carpendale
Place of Publication	New York
Publisher	ACM
Pages	29-32
Number of pages	4
ISBN (Electronic)	9798400712784
DOIs	https://doi.org/10.1145/3696762.3698047
Publication status	Published - 27 Oct 2024
Event	2024 ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2024 - Vancouver, Canada Duration: 27 Oct 2024 → 30 Oct 2024

Conference

Conference	2024 ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2024
Country/Territory	Canada
City	Vancouver
Period	27/10/24 → 30/10/24

Keywords

Analyzing visuals
Qualitative coding
Research methods

Access to Document

10.1145/3696762.3698047

Cite this

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title = "Summary of the workshop on visual methods and analyzing visual data in human computer interaction",

abstract = "Visual methods have become increasingly vital in Human Computer Interaction (HCI) research, particularly as we analyze and interpret the complex visual data that emerges from various interaction modalities. However, the methodologies for analyzing this visual data remain underdeveloped compared to textual data analysis. This workshop seeks to unite HCI researchers who work with visual data-such as hand sketches, photographs, physical artifacts, UI screenshots, videos, and information visualizations-To identify, name, and categorize methods for analyzing visual data in HCI.",

keywords = "Analyzing visuals, Qualitative coding, Research methods",

author = "Zezhong Wang and Samuel Huron and Miriam Sturdee and Sheelagh Carpendale",

note = "Further: This work was supported by the Investments for the Future Program (PIA), CONTINUUM (ANR-21-ESRE-0030), Banque Publique d'Investissement (BPI), Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-2019-07192], and Canada Research Chair in Data Visualization [CRC-2019-00368].; 2024 ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2024 ; Conference date: 27-10-2024 Through 30-10-2024",

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month = oct,

day = "27",

doi = "10.1145/3696762.3698047",

language = "English",

pages = "29--32",

editor = "Barrett Ens and Sheelagh Carpendale",

booktitle = "ISS companion '24",

publisher = "ACM",

address = "United States",

}

Wang, Z, Huron, S, Sturdee, M & Carpendale, S 2024, Summary of the workshop on visual methods and analyzing visual data in human computer interaction. in B Ens & S Carpendale (eds), ISS companion '24: companion proceedings of the 2024 conference on interactive surfaces and spaces. ACM, New York, pp. 29-32, 2024 ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2024, Vancouver, Canada, 27/10/24. https://doi.org/10.1145/3696762.3698047

Summary of the workshop on visual methods and analyzing visual data in human computer interaction. / Wang, Zezhong; Huron, Samuel; Sturdee, Miriam et al.
ISS companion '24: companion proceedings of the 2024 conference on interactive surfaces and spaces. ed. / Barrett Ens; Sheelagh Carpendale. New York: ACM, 2024. p. 29-32.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Huron, Samuel

AU - Sturdee, Miriam

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N1 - Further: This work was supported by the Investments for the Future Program (PIA), CONTINUUM (ANR-21-ESRE-0030), Banque Publique d'Investissement (BPI), Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-2019-07192], and Canada Research Chair in Data Visualization [CRC-2019-00368].

PY - 2024/10/27

Y1 - 2024/10/27

N2 - Visual methods have become increasingly vital in Human Computer Interaction (HCI) research, particularly as we analyze and interpret the complex visual data that emerges from various interaction modalities. However, the methodologies for analyzing this visual data remain underdeveloped compared to textual data analysis. This workshop seeks to unite HCI researchers who work with visual data-such as hand sketches, photographs, physical artifacts, UI screenshots, videos, and information visualizations-To identify, name, and categorize methods for analyzing visual data in HCI.

AB - Visual methods have become increasingly vital in Human Computer Interaction (HCI) research, particularly as we analyze and interpret the complex visual data that emerges from various interaction modalities. However, the methodologies for analyzing this visual data remain underdeveloped compared to textual data analysis. This workshop seeks to unite HCI researchers who work with visual data-such as hand sketches, photographs, physical artifacts, UI screenshots, videos, and information visualizations-To identify, name, and categorize methods for analyzing visual data in HCI.

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KW - Qualitative coding

KW - Research methods

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BT - ISS companion '24

A2 - Ens, Barrett

A2 - Carpendale, Sheelagh

PB - ACM

CY - New York

T2 - 2024 ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2024

Y2 - 27 October 2024 through 30 October 2024

ER -

Summary of the workshop on visual methods and analyzing visual data in human computer interaction

Abstract

Conference

Keywords

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