Evaluation of a Visual Tool for Early Patent Infringement Detection During Design

Vito Gentile, Salvatore Sorce, Mark Atherton, David Harrison, Pingfei Jiang, Alessio Malizia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Patent infringement detection usually implies research among documents in different forms, in both natural and unstructured language, often involving a lot of human resources and time. In order to ease this patent check process, we previously presented a visual tool to be used by designers themselves at any stage of the design process, providing them with useful and reliable information for deciding whether to steer their design away from potential patent infringements. In this work, we report on a usability study carried out on such a tool with 21 professional designers from industry in the field of mechanical engineering. The outcome of our study shows that our tool is very well accepted by designers, and felt useful and helpful even by legal experts.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages166-173
Number of pages8
Publication statusPublished - 2019

Publication series

NameLECTURE NOTES IN ARTIFICIAL INTELLIGENCE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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