Towards a Set of Design Guidelines for Multi-device Experience

Sánchez-Adame, Luis Martín; Mendoza, Sonia; Viveros, Amilcar Meneses; Rodríguez, José

doi:10.1007/978-3-030-22646-6_15

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…Existing studies contribute to HCI research by presenting and addressing issues related to cross-platform systems and applications. These issues include the challenges and opportunities of designing an interactive cross-platform [26,27]; terminologies and trends in cross-devices [25,28]; designing the development of multi-application and users' interface experience [29][30][31][32]; and evaluation and comparison of crossplatform mobile applications and tools [33,34]. Limited studies have explored and assessed crossplatform user experiences [5,10,14,35].…”

Section: User Experience (Ux) and Human-computer Interaction (Hci)mentioning

confidence: 99%

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Predicting Mobile Cross-Platform Adaptation Using a Hybrid Sem–ANN Approach

Alkhalifah¹

2022

Computer Systems Science and Engineering

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Owing to constant changes in user needs, new technologies have been introduced to keep pace by building sustainable applications. Researchers and practitioners are keen to understand the factors that create an attractive user interface. Although the use of cross-platform applications and services is increasing, limited research has examined and evaluated cross-platforms for developing mobile applications for different operating systems. This study evaluates crossplatform features, identifying the main factors that help to create an attractive user adaptation when building sustainable applications for both Android and iOS. Flutter and React Native were selected so end-users could test their features using the cross-platform usability assessment model. Usability, satisfaction, and navigation were tested to measure the cross-platform adaptation and end-user experience. The data were analyzed using hybrid structural equation modeling (SEM) and artificial neural network (ANN) approaches. The study results show that usability and navigation both have a positive effect on adaptation on Flutter and React Native, while satisfaction only has an effect on Flutter. The navigation variable was also the most significant predictor of adaptation for both models. This study has several implications and makes contributions to the research field, to developers, and to end-users.

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Section: User Experience (Ux) and Human-computer Interaction (Hci)mentioning

confidence: 99%

“…Firstly, most previous studies are technical in nature, focusing on design science and software engineering. These studies focused on the compression of cross-platform frameworks [25,33], designing user interfaces [29,30], and evaluation performance [22,32].…”

Section: User Experience (Ux) and Human-computer Interaction (Hci)mentioning

confidence: 99%

Predicting Mobile Cross-Platform Adaptation Using a Hybrid Sem–ANN Approach

Alkhalifah¹

2022

Computer Systems Science and Engineering

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“…Brudy et al [5] provides an overview of cross-device research trends and terminology to unify common understanding for future research. A number of researchers have contributed to the body of knowledge concerning the design and development of cross-device systems (e.g., [21,[36][37][38][39][40]). Dong et al [21] explored the barriers of designing and developing multi-device experiences.…”

Section: Related Workmentioning

confidence: 99%

“…Through a series of interviews with designers and developers of cross-device systems, the authors identified three challenges pertaining to designing interactions, complexity of user interface standards, and lack of evaluation tools and techniques. Other work, such as O'Leary et al [37] and Sanchez-Adame et al [38], provide designers toolkits and guidelines for cross-device user interfaces for context shifts and consistency, respectively. These studies reflect the relevance of the work presented in the paper, and for the rest of this section we explore the evaluation methods previously utilised in the area of cross-device evaluations.…”

Section: Related Workmentioning

confidence: 99%

Cross-Platform Usability Model Evaluation

Majrashi¹,

Hamilton

Uitdenbogerd

et al. 2020

MTI

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It is becoming common for several devices to be utilised together to access and manipulate shared information spaces and migrate tasks between devices. Despite the increased worldwide use of cross-platform services, there is limited research into how cross-platform service usability can be assessed. This paper presents a novel cross-platform usability model. The model employs the think-aloud protocol, observations, and questionnaires to reveal cross-platform usability problems. Two Likert scales were developed for measuring overall user satisfaction of cross-platform usability and user satisfaction with the seamlessness of the transition between one device and another. The paper further employs a series of objective measures for the proposed model. The viability and performance of the model were examined in the context of evaluating three cross-platform services across three devices. The results demonstrate that the model is a valuable method for assessing and quantifying cross-platform usability. The findings were thoroughly analysed and discussed, and subsequently used to refine the model. The model was also evaluated by eight user experience experts and seven out of the eight agreed that it is useful.

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“…Inter-platform consistency, also known as cross-device consistency and inter-device consistency, has been identified as a central inter-usability element (Denis & Karsenty, 2004;Majrashi, 2016;Majrashi, Hamilton, & Uitdenbogerd, 2016a, 2016bMajrashi et al, 2017;Rodrıguez, 2019;Sánchez-Adame, Mendoza, Meneses Viveros, & Rodríguez, 2019). Inter-platform consistency concerns how the UI designs and contents of the same system are consistent across platforms or the consistency of the user experience across multiple platforms (Burny & Vanderdonckt, 2022;Gajos, Wu, & Weld, 2005;Guerra-Manzanares & Välbe, 2022;S.…”

Section: Introductionmentioning

confidence: 99%

Inter-Platform Consistency Inspection Method

Majrashi¹

2023

International Journal of Technology and Human Interaction

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Inter-platform consistency is a central inter-usability attribute in cross-platform service design. However, limited studies have investigated the importance of the different characteristics of inter-platform consistency for user experience (UX) of cross-platform services. A discounted, easy, fast inter-platform inspection method for cross-platform service design is still unavailable. In this paper, the authors present the results of a study on inter-platform service consistency using a new inspection method. Three UX experts evaluated three cross-platform services using predefined inter-platform consistency heuristics (perceptual, lexical, operational, and compositional). The evaluation yielded 287 inter-platform consistency findings (194 negative and 93 positive). The results indicated that all predefined consistency heuristics that represent inter-platform consistency characteristics are important and should be considered when designing the UX of cross-platform services. The evaluators assessed our inspection method and found it appropriate and effective.

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Towards a Set of Design Guidelines for Multi-device Experience

Cited by 5 publications

References 15 publications

Predicting Mobile Cross-Platform Adaptation Using a Hybrid Sem–ANN Approach

Predicting Mobile Cross-Platform Adaptation Using a Hybrid Sem–ANN Approach

Cross-Platform Usability Model Evaluation

Inter-Platform Consistency Inspection Method

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