Functionality, usability, and user experience

McNamara, Niamh; Kirakowski, Jurek

doi:10.1145/1167948.1167972

Cited by 114 publications

(59 citation statements)

References 5 publications

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“…User experience is an ill-defined concept, and lacks well-developed assessment methods and metrics (McNamara and Kirakowski 2006;Law et al 2009). In our framework, we distinguish between objective system aspects, (e.g.…”

Section: Components Of the Frameworkmentioning

confidence: 99%

Explaining the user experience of recommender systems

Knijnenburg

Willemsen

Gantner

et al. 2012

User Model User-Adap Inter

555

340

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Research on recommender systems typically focuses on the accuracy of prediction algorithms. Because accuracy only partially constitutes the user experience of a recommender system, this paper proposes a framework that takes a user-centric approach to recommender system evaluation. The framework links objective system aspects to objective user behavior through a series of perceptual and evaluative constructs (called subjective system aspects and experience, respectively). Furthermore, it incorporates the influence of personal and situational characteristics on the user experience. This paper reviews how current literature maps to the framework and identifies several gaps in existing work. Consequently, the framework is validated with four field trials and two controlled experiments and analyzed using Structural Equation Modeling. The results of these studies show that subjective system aspects and experience variables are invaluable in explaining why and how the user experience of recommender systems comes about. In all studies we observe that perceptions of recommendation quality and/or variety are important mediators in predicting the effects of objective system aspects on the three components of user experience: process (e.g. perceived effort, difficulty), system (e.g. perceived system effectiveness) and outcome (e.g. choice satisfaction). Furthermore, we find that these subjective aspects have strong and sometimes interesting behavioral correlates (e.g. reduced browsing indicates higher system effectiveness). They also show several tradeoffs between system aspects and personal and situational characteristics (e.g. the amount of preference feedback users provide is a tradeoff between perceived system usefulness and privacy concerns). These results, as well as the validated framework itself, provide a platform for future research on the user-centric evaluation of recommender systems.

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Section: Components Of the Frameworkmentioning

confidence: 99%

Explaining the user experience of recommender systems

Knijnenburg

Willemsen

Gantner

et al. 2012

User Model User-Adap Inter

555

340

View full text Add to dashboard Cite

show abstract

“…McNamara and Kirakowski proposed a model of factors for understanding the interactions between humans and technology: User Experience (UX) and Usability [26]. The UX can be academically summarized as every aspect of the interaction between a user and a product.…”

Section: Evaluation and Resultsmentioning

confidence: 99%

Gestural Interaction for Virtual Reality Environments through Data Gloves

Rodríguez¹,

Jofré²,

Alvarado³

et al. 2017

Adv. sci. technol. eng. syst. j.

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“…However, some related research can be found [6]. The main problem of this kind of research is the lack of methodology in the research settings of field studies [7]. The questions: "How, where and whom to measure?"…”

Section: Discussionmentioning

confidence: 99%

Evaluation of a Context-Aware Mobile Peer-to-Peer Navigation Application

Ohtonen

Koskela

Kostamo

et al. 2007

2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications

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In mobile networking, the use of context information in a versatile manner is emerging. Context information, which characterizes the situation of an entity, provides ease of use in mobile devices with limited input and output capabilities. A mobile peer-to-peer navigation application uses context information to verify this statement. It acts as a graphical user interface for group-based context-aware communication and as an enabler of inter-application cooperation. It uses an intelligent application platform for distributing context information. The analytical results consist of quantitative evaluation, involving functional testing and delay analysis, and a qualitative evaluation, involving user testing. The concepts of group-based context distribution and interapplication cooperation were found functional and useful.

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Functionality, usability, and user experience

Cited by 114 publications

References 5 publications

Explaining the user experience of recommender systems

Explaining the user experience of recommender systems

Gestural Interaction for Virtual Reality Environments through Data Gloves

Evaluation of a Context-Aware Mobile Peer-to-Peer Navigation Application

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