A Context-of-Use Taxonomy for Usability Studies

Alonso-Ríos, David; Vázquez-García, Ana; Mosqueira-Rey, Eduardo; Moret‐Bonillo, Vicente

doi:10.1080/10447318.2010.502099

Cited by 25 publications

(11 citation statements)

References 18 publications

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“…Taking into account features of users is fundamental for the User Modeling community in order to build systems that fit the specific background, knowledge and objectives of users [1–3]. Similarly, considering the context of use has a significant influence in the inference of meaningful assessments of usability [4–7]. Additionally, during the usability inspection process, accounting for the demands of the underlying task is essential for predicting user experience and informing the design of interactive systems [8, 9].…”

Section: Introductionmentioning

confidence: 99%

Experienced mental workload, perception of usability, their interaction and impact on task performance

Longo¹

2018

PLoS ONE

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Past research in HCI has generated a number of procedures for assessing the usability of interacting systems. In these procedures there is a tendency to omit characteristics of the users, aspects of the context and peculiarities of the tasks. Building a cohesive model that incorporates these features is not obvious. A construct greatly invoked in Human Factors is human Mental Workload. Its assessment is fundamental for predicting human performance. Despite the several uses of Usability and Mental Workload, not much has been done to explore their relationship. This empirical research focused on I) the investigation of such a relationship and II) the investigation of the impact of the two constructs on human performance. A user study was carried out with participants executing a set of information-seeking tasks over three popular web-sites. A deep correlation analysis of usability and mental workload, by task, by user and by classes of objective task performance was done (I). A number of Supervised Machine Learning techniques based upon different learning strategy were employed for building models aimed at predicting classes of task performance (II). Findings strongly suggests that usability and mental workload are two non overlapping constructs and they can be jointly employed to greatly improve the prediction of human performance.

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Section: Introductionmentioning

confidence: 99%

Experienced mental workload, perception of usability, their interaction and impact on task performance

Longo¹

2018

PLoS ONE

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“…This taxonomy served as the basis for the decision-order framework he developed to further the understanding of decision making. In the usability research arena, a context-of-use taxonomy was developed (Alonso-Rios et al 2010). This taxonomy outlines context-of-use attributes that could be used as a formal model to support context-of-use studies and to ensure a common perspective.…”

Section: Taxonomymentioning

confidence: 99%

Development of a Taxonomy of Sociocultural Factors that Influence Decision Making

Samms¹,

Hill²,

Animashaun³

et al. 2015

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“…Considering features of users is fundamental for the User Modeling community [1,16]. Similarly, taking into consideration the context of use is of extreme importance for inferring reliable assessments of usability [3,36]. Additionally, during the usability assessment process, accounting for the demands of the task executed is core for describing user experience [20].…”

Section: Introductionmentioning

confidence: 99%

Subjective Usability, Mental Workload Assessments and Their Impact on Objective Human Performance

Longo¹

2017

Human-Computer Interaction - INTERACT 2017

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A Context-of-Use Taxonomy for Usability Studies

Cited by 25 publications

References 18 publications

Experienced mental workload, perception of usability, their interaction and impact on task performance

Experienced mental workload, perception of usability, their interaction and impact on task performance

Development of a Taxonomy of Sociocultural Factors that Influence Decision Making

Subjective Usability, Mental Workload Assessments and Their Impact on Objective Human Performance

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