Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper

Research papers, in addition to textual documents, are a designed interface through which researchers communicate. Recently, rapid growth has transformed that interface in many fields of computing. In this work, we examine the effects of this growth from a media archaeology perspective, through the changes to figures and tables in research papers. Specifically, we study these changes in computer vision over the past decade, as the deep learning revolution has driven unprecedented growth in the discipline. We ground our investigation through interviews with veteran researchers spanning computer vision, graphics, and visualization. Our analysis focuses on the research attention economy: how research paper elements contribute towards advertising, measuring, and disseminating an increasingly commodified "contribution." Through this work, we seek to motivate future discussion surrounding the design of both the research paper itself as well as the larger sociotechnical research publishing system, including tools for finding, reading, and writing research papers.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-11-07
DOI
https://doi.org/10.1145/3686955
Primary Topic
Museums and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00
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article

Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper

David Crandall, Norman Makoto Su, Samuel Goree, Gabriel Appleby
Proceedings of the ACM on Human-Computer Interaction
Museums and Cultural Heritage
article

Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper

David Crandall, Norman Makoto Su, Samuel Goree, Gabriel Appleby
article en

Abstract

Research papers, in addition to textual documents, are a designed interface through which researchers communicate. Recently, rapid growth has transformed that interface in many fields of computing. In this work, we examine the effects of this growth from a media archaeology perspective, through the changes to figures and tables in research papers. Specifically, we study these changes in computer vision over the past decade, as the deep learning revolution has driven unprecedented growth in the discipline. We ground our investigation through interviews with veteran researchers spanning computer vision, graphics, and visualization. Our analysis focuses on the research attention economy: how research paper elements contribute towards advertising, measuring, and disseminating an increasingly commodified "contribution." Through this work, we seek to motivate future discussion surrounding the design of both the research paper itself as well as the larger sociotechnical research publishing system, including tools for finding, reading, and writing research papers.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CSCW2)
Tufts University (US), University of California, Santa Cruz (US), Indiana University Bloomington (US), Stonehill College (US)
Quality Education
Openalex Percentile: Top 76%
Museums and Cultural Heritage
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