ECUXH: A Set of User eXperience Heuristics for e-Commerce

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3 Citas (Scopus)

Resumen

Currently, e-Commerce users have different objectives and contexts of use, so it is essential to consider each of these cases when designing appropriate websites, so that the User eXperience (UX) would be as pleasant as possible. UX extends the usability concept. UX refers to user’s perceptions and responses that result from the use and/or anticipated use of a system, product, or service. Heuristic evaluation is an inspection method that allows evaluating the usability of interfaces. A set of heuristics can be general, like Nielsen’s heuristics, or specific to the area of application of the interactive software system under evaluation. Due to the specific characteristics of e-Commerce websites, general usability heuristics are not suitable, especially when evaluating UX aspects beyond usability. Specific sets of heuristics have been proposed to evaluate e-Commerce websites, but they mainly focus on usability. This article presents a set of heuristics that address not only usability, but also other UX factors. The new set of heuristics was developed, validated, and refined in three iterations, based on the methodology established by Quiñones et al. (2018). This methodology establishes 8 steps that allow obtaining a set of heuristics for a specific domain. The results obtained in the experimental validation indicate that the ECUXH set is a useful and more efficient tool than generic heuristics, when evaluating e-Commerce websites. As future work, we pretend to develop a set of retail-oriented Customer eXperince (CX) heuristics, based on ECUXH.

Idioma originalInglés
Título de la publicación alojadaSocial Computing and Social Media
Subtítulo de la publicación alojadaExperience Design and Social Network Analysis - 13th International Conference, SCSM 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
EditoresGabriele Meiselwitz
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas407-420
Número de páginas14
ISBN (versión impresa)9783030776251
DOI
EstadoPublicada - 2021
Evento13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021 - Virtual, Online
Duración: 24 jul. 202129 jul. 2021

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12774 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia13th International Conference on Social Computing and Social Media, SCSM 2021, held as part of the 23rd International Conference, HCI International 2021
CiudadVirtual, Online
Período24/07/2129/07/21

Huella

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