Graphical Representation Enhances Human Compliance with Principles for Graded Argumentation Semantics - Archive ouverte HAL Access content directly
Conference Papers Year : 2022

Graphical Representation Enhances Human Compliance with Principles for Graded Argumentation Semantics

(1) , ,
1
Srdjan Vesic
Bruno Yun
  • Function : Author
  • PersonId : 1084273
Predrag Teovanovic
  • Function : Author
  • PersonId : 1130736

Abstract

We examined principles of graded argumentation semantics (independence, anonymity, void precedence, and maximality) to explore if (a) they realistically model human reasoning, (b) graphical representation of arguments facilitates compliance with the principles, (c) there is a positive correlation between compliance with different principles, and (d) this compliance is related to cognitive reflection, need for cognition and faith in intuition. The participants (N = 96) were randomly assigned to one of two experimental conditions - the graph group was presented with textual and graphical representations, while the second group was presented only with textual arguments. Our results indicate that there are major differences in the compliance with the several argumentation principles studied in this paper. However, compliance with argumentation principles was consistently better and more consistent in the graph group. Moreover, cognitive reflection correlated with compliance to some principles, but only in the graph group.
Fichier principal
Vignette du fichier
AAMAS_2022_for_HAL.pdf (466.97 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03615534 , version 1 (21-03-2022)

Identifiers

  • HAL Id : hal-03615534 , version 1

Cite

Srdjan Vesic, Bruno Yun, Predrag Teovanovic. Graphical Representation Enhances Human Compliance with Principles for Graded Argumentation Semantics. AAMAS, May 2022, online, New Zealand. ⟨hal-03615534⟩
30 View
42 Download

Share

Gmail Facebook Twitter LinkedIn More