Modelling Trust: An Empirical Assessment - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Modelling Trust: An Empirical Assessment

Siddharth Gulati
  • Fonction : Auteur
  • PersonId : 1026368
Sonia Sousa
  • Fonction : Auteur
  • PersonId : 1026369
David Lamas
  • Fonction : Auteur
  • PersonId : 1026370

Résumé

Trust has shown to be a key factor influencing user uptake and acceptance of technologies. Despite the increase in interest in trust research and its stated importance in HCI, prior research has mainly focused on understanding its role in human to human interactions mediated through technology. The ongoing and rapid technological developments have made it necessary to move beyond studying trust relationships between people mediated by information technology (IT) and focus on studying the relationship of the user with the IT artifact itself. We recognize that HCI discipline lacks a focused body of knowledge on trust and there is a lack of theoretically grounded and robust psychometric instruments for quantifying trust. With this in mind, this article is aimed at empirically evaluating a socio-technical model of trust so as to assess its feasibility in user technology interactions. Using prior established measures and theories, we identify seven trust attributes and test the proposed model using partial least square structural equation modelling (PLS-SEM). Our study contributes to the literature by advancing the discussion of trust in human-artefact relationship.
Fichier principal
Vignette du fichier
421765_1_En_3_Chapter.pdf (582.02 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01679802 , version 1 (10-01-2018)

Licence

Paternité

Identifiants

Citer

Siddharth Gulati, Sonia Sousa, David Lamas. Modelling Trust: An Empirical Assessment. 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.40-61, ⟨10.1007/978-3-319-68059-0_3⟩. ⟨hal-01679802⟩
86 Consultations
322 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More