Home > Research > Publications & Outputs > Measuring User Comprehension of Inference Rules...

Links

Text available via DOI:

View graph of relations

Measuring User Comprehension of Inference Rules in Euler Diagrams

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Close
Publication date10/08/2016
Host publicationDiagrammatic Representation and Inference: 9th International Conference, Diagrams 2016, Philadelphia, PA, USA, August 7-10, 2016, Proceedings
EditorsMateja Jamnik, Yuri Uesaka, Stephanie Elzer Schwartz
Place of PublicationCham
PublisherSpringer
Pages32-39
Number of pages8
ISBN (electronic)9783319423333
ISBN (print)9783319423326
<mark>Original language</mark>English

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume9781
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

Proofs created by diagrammatic theorem provers are not designed with human readers in mind. We say that one proof, P1, is more “readable” than another, P2, if users make fewer errors in understanding which inference rules were applied in P1 than in P2, and do so in a shorter time. We analysed the readability of individual rules in an empirical study which required users to identify the rules used in inferences. We found that increased clutter (redundant syntax) in the premiss diagrams affects readability, and that rule applications which require the user to combine information from several diagrams are sometimes less readable than those which focus on a single diagram. We provide an explanation based on mental models.