Visual Methods & Analyzing Visual Data in Human Computer InteractionACM ISS 2024

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, and determine how they differ from methods used in verbal analysis.

Call for Participation

In the evolving landscape of HCI, visual data analysis plays a crucial role in understanding user interactions, designing innovative interfaces, and interpreting complex visualizations. Despite its importance, the field lacks standardized methods and tools to handle the unique challenges posed by visual data, such as the non-verbal aspects, contextual nuances, and subjective interpretations inherent in visual materials. This workshop seeks to gather researchers, practitioners, and scholars interested in advancing the methods for analyzing visual data within HCI. We aim to discuss and reflect on the processes, strategies, and challenges involved in using visual methods in qualitative research. Topics may include the development of new visual analysis methods, the adaptation of existing qualitative techniques for visual data, and the integration of visual and textual data analysis.

Topics

We invite contributions on a wide range of topics related to visual data analysis in HCI, including but not limited to: * Challenges and opportunities in visual data analysis methods within HCI. * Methodologies for coding and analyzing visual data. * Reflections on visual data analysis practices in HCI and visualization research. * Innovations in tools and systems that support qualitative coding of visual data. * Combining qualitative and quantitative methods for rich insights from visual materials. * Epistemological reflections on the use of visual methods in research.

Submission Guidelines

We welcome submissions of papers (1-3 pages) that explore various aspects of visual data analysis, including reflections on current research, discussions of methodological challenges, and future ideas for visual methods. Submissions can be in the form of traditional papers or pictorials that visually represent the analytical process. All submissions will undergo a peer-review process. Accepted papers will be shared among participants prior to the workshop to foster discussion and collaboration.

Please indicate on the submission form if you would like your manuscript included in the proceedings, which we will compile and archive on the Open Science Framework (OSF). Submit your paper here: https://forms.gle/AQayMrGkmay1MUudA

Important Dates

Paper Submission: October 10, 2024 (AOE)
Author Notification: October 17, 2024 (AOE)

Contact

Please contact Zezhong Wang (zezhongw@sfu.ca) for more information.

Organizers

Zezhong Wang
Miriam Sturdee
Samuel Huron
Sheelagh Carpendale