Is ArguMessage Effective? A Critical Evaluation of the Persuasive Message Generation System

Rosemary J. Thomas*, Judith Masthoff, Nir Oren

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)


This paper describes an investigation into the effectiveness of ArguMessage, a system that uses argumentation schemes and limited user input to semi-automatically generate persuasive messages encouraging behaviour change that follow specific argumentation patterns. We conducted user studies in the domains of healthy eating and email security to investigate its effectiveness. Our results show that ArguMessage in general supported users in generating messages based on the argumentation schemes. However, there were some issues in particular with copying the example messages, and some system improvements need to be made. Participants were generally satisfied with the messages produced, with the exception of those produced by two schemes (‘Argument from memory with goal’ and ‘Argument from values with goal’) which were removed after the first study.

Original languageEnglish
Title of host publicationPersuasive Technology
Subtitle of host publicationDevelopment of Persuasive and Behavior Change Support Systems - 14th International Conference, PERSUASIVE 2019, Proceedings
EditorsHarri Oinas-Kukkonen, Khin Than Win, Evangelos Karapanos, Pasi Karppinen, Eleni Kyza
Place of PublicationCham
Number of pages13
ISBN (Electronic)9783030172879
ISBN (Print)9783030172862
Publication statusPublished - 2019
Event14th International Conference on Persuasive Technology, PERSUASIVE 2019 - Limassol, Cyprus
Duration: 9 Apr 201911 Apr 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11433 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Conference on Persuasive Technology, PERSUASIVE 2019

Bibliographical note

The work on cyber-security in this paper was supported by EPSRC award EP/P011829/1.


  • Argumentation schemes
  • Message generation
  • Persuasion


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