The meCUE Questionnaire: A Modular Tool for Measuring User Experience

Minge, Michael; Thüring, Manfred; Wagner, Ingmar; Kuhr, Carina V.

doi:10.1007/978-3-319-41685-4_11

Cited by 86 publications

(72 citation statements)

References 11 publications

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“…The ISO standard on the ergonomics of human system interaction defines UX as “a person’s perceptions and responses that result from the use or anticipated use of a product, system or service” (ISO 9241–210, 2010 , p. 7). Based on this definition, the components of the UX model (CUE model, Thüring & Mahlke, 2007 ; Minge, Thüring, Wagner, & Kuhr, 2016 ) assumes three major components of UX: the perception of instrumental qualities; the perception of non-instrumental qualities; and the experienced emotions. Instrumental qualities describe attributes of the system that are beneficial for the task such as usability and usefulness of the product.…”

Section: Introductionmentioning

confidence: 99%

App icon similarity and its impact on visual search efficiency on mobile touch devices

Trapp

Wienrich

2018

Cogn. Research

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Users of mobile touch devices are often confronted with a great number of apps, challenging an efficient access to single applications. Especially when looking for infrequently used apps, users have to perform a visual search. We address this problem in two studies by applying knowledge about visual search efficiency to app icons on mobile touch devices. We aimed to transfer findings of similarity grouping for complex stimuli to a more applied setting and to investigate the effect of search efficiency on user experience. In Study 1 (N = 18), we varied set size and target presence as well as visual similarity between icons by color manipulation. Results indicated a highly efficient search when the target was easy to discriminate from the distractors and a less efficient search with increasing similarity. These results were replicated in a second, more realistic use case (N = 36). Regarding user experience, Study 2 showed that perceived usability and intuitiveness increased with search efficiency but that the overall liking also depended on the visual variety of the design. Moreover, although participants showed a general interest in a system supporting their search, most participants had concerns about data privacy with such a system. In conclusion, the results indicate that concepts and findings from basic attention research serve as fruitful heuristics for searches in more realistic (applied) settings. Furthermore, results showed that similarity manipulation with color works without controlling for other icon characteristics (e.g. luminance, shade). The findings might offer a new approach when designing for smooth interaction with mobile touch devices.

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Section: Introductionmentioning

confidence: 99%

App icon similarity and its impact on visual search efficiency on mobile touch devices

Trapp

Wienrich

2018

Cogn. Research

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“…These documents, named user guides, report the activities to do and these activities develop orderly through the twelve UX items described before. The irMMs method reached release 2.0 thanks to the adoption of the meCUE (modular evaluation of key Components of User Experience) questionnaire, specifically devoted to the quantification of the UX [23,24]. This was the final step of the irMMs method development that enabled it to deal with the whole set of UX items.…”

Section: Irmms-based Ux Evaluation Methodsmentioning

confidence: 99%

PERSEL, a Ready-to-Use PERsonality-Based User SELection Tool to Maximize User Experience Redesign Effectiveness

Filippi¹

2020

MTI

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Some literature has already demonstrated the widespread influence of human personality on product design. Nevertheless, most of the existing user experience (UX) design methods and tools do not fully exploit knowledge about user personality in selecting the best participants to maximize the effectiveness of the design efforts. This research tries to fill the gap by introducing PERSEL, the ready-to-use PERsonality-based SELector. PERSEL is a Microsoft Excel workbook, free to download, which allows expression of the objectives (needs) and assessment of the user personality; in turn, PERSEL suggests the best users to be involved in UX redesign activities and in what way, in order to get solutions answering to the needs in the best possible way. A comparison of the solutions generated by the first adoption of PERSEL in the field with those coming from the involvement of users selected without obeying any specific criterion, begins validating the research results, mainly in terms of PERSEL functioning and effectiveness.

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“…First, the correlations between the dimensions of meCUE and the dimensions of other questionnaires measuring similar constructs were examined (convergent validity). Here, it was found that meCUE consistently led to comparable values [11,14,17]. For example, significant correlations were observed between the meCUE single-item "overall rating" (module IV) and the dimension "attraction" of AttrakDiff (r = .559) [16,17], AttrakDiff mini (r = .919) and UEQ (r = .887) [11].…”

Section: Introductionmentioning

confidence: 95%

Developing and Validating an English Version of the meCUE Questionnaire for Measuring User Experience

Minge

Thüring

Wagner

2016

Proceedings of the Human Factors and Ergonomics Society Annual

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Based on the Component model of User Experience (CUE), a standardized questionnaire (meCUE) was developed measuring key aspects of user experience (UX) for interactive products. The questionnaire consists of 34 items and covers four components: product perceptions (usefulness, usability, visual aesthetics, status, commitment), user emotions (positive, negative), consequences of usage (intention to use, product loyalty), and overall judgment. The modules were separately validated in a series of studies. Therefore, meCUE can be easily adapted to specific research goals by simply choosing those modules which are required. The original German questionnaire was translated into an English version that was validated in an online study. Fifty-eight native English speakers assessed a wide variety of interactive products, such as cell phones, digital cameras, PCs, laptops, tablets, software and mobile applications. Results show that the English version reliably assesses the key components of UX and that the internal consistency of its scales is high.

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The meCUE Questionnaire: A Modular Tool for Measuring User Experience

Cited by 86 publications

References 11 publications

App icon similarity and its impact on visual search efficiency on mobile touch devices

App icon similarity and its impact on visual search efficiency on mobile touch devices

PERSEL, a Ready-to-Use PERsonality-Based User SELection Tool to Maximize User Experience Redesign Effectiveness

Developing and Validating an English Version of the meCUE Questionnaire for Measuring User Experience

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