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更好地理解用户体验:超越情感评估的新技术。

Understanding UX Better: A New Technique to Go beyond Emotion Assessment.

机构信息

Institute of Computing (IComp), Federal University of Amazonas (UFAM), Avenida Rodrigo Otávio 6200, Manaus 69067-005, Brazil.

Department of Informatics, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rua Marquês de São Vicente 225, Rio de Janeiro 22451-900, Brazil.

出版信息

Sensors (Basel). 2021 Oct 29;21(21):7183. doi: 10.3390/s21217183.

Abstract

User experience (UX) is a quality aspect that considers the emotions evoked by the system, extending the usability concept beyond effectiveness, efficiency, and satisfaction. Practitioners and researchers are aware of the importance of evaluating UX. Thus, UX evaluation is a growing field with diverse approaches. Despite various approaches, most of them produce a general indication of the experience as a result and do not seek to capture the problem that gave rise to the bad UX. This information makes it difficult to obtain relevant results to improve the application, making it challenging to identify what caused a negative user experience. To address this gap, we developed a UX evaluation technique called UX-Tips. This paper presents UX-Tips and reports two empirical studies performed in an academic and an industrial setting to evaluate it. Our results show that UX-Tips had good performance in terms of efficiency and effectiveness, making it possible to identify the causes that led to a negative user experience, and it was easy to use. In this sense, we present a new technique suitable for use in both academic and industrial settings, allowing UX evaluation and finding the problems that may lead to a negative experience.

摘要

用户体验(UX)是一个质量方面,它考虑了系统所引起的情感,将可用性概念从有效性、效率和满意度扩展到了更广泛的范围。从业者和研究人员都意识到评估 UX 的重要性。因此,UX 评估是一个不断发展的领域,有多种方法。尽管有各种方法,但它们中的大多数只是产生了体验的一般指示,而不是试图捕捉导致不良 UX 的问题。这些信息使得难以获得相关结果来改进应用程序,从而难以确定是什么导致了负面的用户体验。为了解决这个差距,我们开发了一种名为 UX-Tips 的 UX 评估技术。本文介绍了 UX-Tips,并报告了在学术和工业环境中进行的两项实证研究,以评估其性能。我们的结果表明,UX-Tips 在效率和有效性方面表现良好,能够识别导致负面用户体验的原因,并且易于使用。从这个意义上说,我们提出了一种适用于学术和工业环境的新技术,允许进行 UX 评估并找到可能导致负面体验的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13c8/8586993/e066160f3ef1/sensors-21-07183-g001.jpg

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