From Scanner to Court: A Neuroscientifically Informed “Reasonable Person” Test of Trademark Infringement

Zhihao Zhang*, Maxwell Good, Vera Kulikov, Femke van Horen, Mark Bartholomew, Andrew S. Kayser, Ming Hsu

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Many legal decisions center on the thoughts or perceptions of some idealized group of individuals, referred to variously as the “average person,” “the typical consumer,” or the “reasonable person.” Substantial concerns exist, however, regarding the subjectivity and vulnerability to biases inherent in conventional means of assessing such responses, particularly the use of self-report evidence. Here, we addressed these concerns by complementing self-report evidence with neural data to inform the mental representations in question. Using an example from intellectual property law, we demonstrate that it is possible to construct a parsimonious neural index of visual similarity that can inform the reasonable person test of trademark infringement. Moreover, when aggregated across multiple participants, this index was able to detect experimenter-induced biases in self-report surveys in a sensitive and replicable fashion. Together, these findings potentially broaden the possibilities for neuroscientific data to inform legal decision-making across a range of settings.

Original languageEnglish
Article numbereabo1095
Pages (from-to)1-12
Number of pages12
JournalScience advances
Volume9
Issue number6
DOIs
Publication statusPublished - 10 Feb 2023

Bibliographical note

Funding Information:
We thank A. Zheng for developing the visual stimuli; S. Gilaie-Dotan, C. Camerer, A. Jenkins, D. Marciano, A. Schultze-Mosgau, B. Vines, M. Sundara Rajan, and the audience at the UC Davis Law School Seminar on Intellectual Property for feedback; C. Wong for programming support; and J. Giffin and A. Won for assistance with data collection. Support was provided by R01 EY024554 (to A.K.) and the UC Berkeley-UCSF Faculty Exchange Program (to M.H.).

Publisher Copyright:
Copyright © 2023 The Authors, some rights reserved.

Funding

We thank A. Zheng for developing the visual stimuli; S. Gilaie-Dotan, C. Camerer, A. Jenkins, D. Marciano, A. Schultze-Mosgau, B. Vines, M. Sundara Rajan, and the audience at the UC Davis Law School Seminar on Intellectual Property for feedback; C. Wong for programming support; and J. Giffin and A. Won for assistance with data collection. Support was provided by R01 EY024554 (to A.K.) and the UC Berkeley-UCSF Faculty Exchange Program (to M.H.).

FundersFunder number
UC Berkeley-UCSF
University of California, DavisR01 EY024554
University of California, Davis

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