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Michael Lyons
Ritsumeikan University
  1. Visual Perception in Japanese Rock Garden Design.Gert J. van Tonder & Michael J. Lyons - 2005 - Axiomathes 15 (3):353-371.
    We present an investigation into the relation between design princi- ples in Japanese gardens, and their associated perceptual effects. This leads to the realization that a set of design principles described in a Japanese gardening text by Shingen (1466), shows many parallels to the visual effects of perceptual grouping, studied by the Gestalt school of psychology. Guidelines for composition of rock clusters closely relate to perception of visual figure. Garden design elements are arranged into patterns that simplify figure-ground segmentation, while (...)
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  2.  88
    Excavating “Excavating AI”: The Elephant in the Gallery.Michael J. Lyons - 2020 - arXiv 2009:1-15.
    Two art exhibitions, “Training Humans” and “Making Faces,” and the accompanying essay “Excavating AI: The politics of images in machine learning training sets” by Kate Crawford and Trevor Paglen, are making substantial impact on discourse taking place in the social and mass media networks, and some scholarly circles. Critical scrutiny reveals, however, a self-contradictory stance regarding informed consent for the use of facial images, as well as serious flaws in their critique of ML training sets. Our analysis underlines the non-negotiability (...)
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  3.  40
    A Linked Aggregate Code for Processing Faces (Revised Version).Michael J. Lyons & Kazunori Morikawa - 2000 - Pragmatics and Cognition 8 (1):63-81.
    A model of face representation, inspired by the biology of the visual system, is compared to experimental data on the perception of facial similarity. The face representation model uses aggregate primary visual cortex (V1) cell responses topographically linked to a grid covering the face, allowing comparison of shape and texture at corresponding points in two facial images. When a set of relatively similar faces was used as stimuli, this Linked Aggregate Code (LAC) predicted human performance in similarity judgment experiments. When (...)
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  4.  25
    “Excavating AI” Re-Excavated: Debunking a Fallacious Account of the JAFFE Dataset.Michael J. Lyons - 2021 - arXiv 2107:1-20.
    Twenty-five years ago, my colleagues Miyuki Kamachi and Jiro Gyoba and I designed and photographed JAFFE, a set of facial expression images intended for use in a study of face perception. In 2019, without seeking permission or informing us, Kate Crawford and Trevor Paglen exhibited JAFFE in two widely publicized art shows. In addition, they published a nonfactual account of the images in the essay “Excavating AI: The Politics of Images in Machine Learning Training Sets.” The present article recounts the (...)
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  5.  35
    Machine Intelligence, New Interfaces, and the Art of the Soluble.Michael J. Lyons - 2017 - Arxiv.
    Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression. (3) The study of the aesthetics of human augmentation in musical performance is in its infancy. -/- CHI 2015 Workshop on Collaborating with Intelligent Machines: Interfaces for Creative Sound, April 18, 2015, Seoul, Republic of Korea.
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