Complexity in Enterprise Applications vs. Simplicity in User Experience

Uflacker, Matthias; Busse, Daniela

doi:10.1007/978-3-540-73111-5_87

Cited by 12 publications

(11 citation statements)

References 1 publication

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“…Such simplified tracking environments that stand today's practical test are also more easily accepted by our target audience of domain experts due to their simplicity, versatility, and low maintenance needs (e. g., [31], [53], [68]). …”

Section: Narrowing Down the Design Spacementioning

confidence: 99%

Towards An Understanding of Mobile Touch Navigation in a Stereoscopic Viewing Environment for 3D Data Exploration

Lopez

Oehlberg

Doger

et al. 2016

IEEE Trans. Visual. Comput. Graphics

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We discuss touch-based navigation of 3D visualizations in a combined monoscopic and stereoscopic viewing environment. We identify a set of interaction modes, and a workflow that helps users transition between these modes to improve their interaction experience. In our discussion we analyze, in particular, the control-display space mapping between the different reference frames of the stereoscopic and monoscopic displays. We show how this mapping supports interactive data exploration, but may also lead to conflicts between the stereoscopic and monoscopic views due to users' movement in space; we resolve these problems through synchronization. To support our discussion, we present results from an exploratory observational evaluation with domain experts in fluid mechanics and structural biology. These experts explored domain-specific datasets using variations of a system that embodies the interaction modes and workflows; we report on their interactions and qualitative feedback on the system and its workflow.

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Section: Narrowing Down the Design Spacementioning

confidence: 99%

Towards An Understanding of Mobile Touch Navigation in a Stereoscopic Viewing Environment for 3D Data Exploration

Lopez

Oehlberg

Doger

et al. 2016

IEEE Trans. Visual. Comput. Graphics

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“…For example, the usability of SA (world's leading ERP system [Jacobson et al 2007]) is mostly affected by navigation and presentation [Singh and Wesson 2009] and its UI does not adapt to each end-user's skills [Uflacker and Busse 2007]. Existing works use different approaches for adapting the UI layout.…”

Section: Layout Optimization Techniques 62mentioning

confidence: 99%

Adaptive Model-Driven User Interface Development Systems

2014

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Adaptive user interfaces (UIs) were introduced to address some of the usability problems that plague many software applications. Model-driven engineering formed the basis for most of the systems targeting the development of such UIs. An overview of these systems is presented and a set of criteria is established to evaluate the strengths and shortcomings of the state-of-the-art, which is categorized under architectures, techniques, and tools. A summary of the evaluation is presented in tables that visually illustrate the fulfillment of each criterion by each system. The evaluation identified several gaps in the existing art and highlighted the areas of promising improvement. The user interface (UI) layer is considered one of the key components of software applications since it connects their end-users to the functionality. Well-engineered and robust software applications could eventually fail to be adopted due to a weak UI layer. Some user interface development techniques such as: universal design [Mace et al. 1990], inclusive design [Keates et al. 2000], and design for all [Stephanidis 1997] promote the concept of making one UI design fit as many people as possible. Yet, a UI is not independent from its context-of-use, which is defined in terms of the user, platform, and environment [Calvary et al. 2003]. The "one design fits all" approach is unable to accommodate all the cases of variability in the context-of-use, in many cases leading to a diminished user experience. Building multiple UIs for the same functionality due to context variability is difficult since the scope of variability cannot be completely known at design-time and there is a high cost incurred by manually developing multiple versions of the UI. Adaptive UIs have been promoted as a solution for context variability due to their ability to automatically adapt to the context-of-use at runtime. User interfaces capable of adapting to their context-of-use are also referred to as multi-context or multi-target [Fonseca 2010]. A key goal behind adaptive UIs is plasticity denoting a UI's ability to preserve its usability across multiple contexts-of-use [Coutaz 2010]. Norcio and Stanley [1989] consider that the idea of an adaptive UI is straightforward since it simply means that: "The interface should adapt to the user; rather than the user adapting to the system" (p. 399) but they note that in spite of the simplicity of the definition, there are some difficult and complex problems relating to adaptive UIs. In our study of the literature, we noticed that some of these problems are technical and are related to devising systems that can support the development of adaptive UIs, while others are related to human factors such as the end-user acceptance of these UIs. Realizing the abstract properties illustrated in Fig. 1, could help in handling some of the technical and human problems related to adaptive UIs. Salehie and Tahvildari [2009] present a hierarchy of adaptability properties for software systems, referred to as self-* properties. This hierarchy demon...

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“…For example, SAP's usability (world's leading ERP [17]) is mostly affected by "Navigation" and "Presentation" [29] and its UI does not adapt to the user's skills [30]. Many existing works target the adaptation of the user interface layout, yet each uses a different approach to handle the adaptive functionality.…”

Section: Layout Optimizationmentioning

confidence: 99%

“…Also, users have different layout preferences. Both feature-set and layout related choices could be affected by several aspects such as skills [30], culture [27], etc. This paper presents Role-Based UI Simplification (RBUIS), a mechanism for increasing usability by providing users with a minimal feature-set and an optimal layout based on the context-of-use (user, platform, and environment).…”

Section: Introductionmentioning

confidence: 99%

Rbuis

Akiki

Bandara

2013

Proceedings of the 5th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

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Enterprise applications such as customer relationship management (CRM) and enterprise resource planning (ERP) are very large scale, encompassing millions of linesof-code and thousands of user interfaces (UI). These applications have to be sold as feature-bloated off-the-shelf products to be used by people with diverse needs in required feature-set and layout preferences based on aspects such as skills, culture, etc. Although several approaches have been proposed for adapting UIs to various contexts-ofuse, little work has focused on simplifying enterprise application UIs through engineering adaptive behavior. We define UI simplification as a mechanism for increasing usability through adaptive behavior by providing users with a minimal feature-set and an optimal layout based on the context-of-use. In this paper we present Role-Based UI Simplification (RBUIS), a tool supported approach based on our CEDAR architecture for simplifying enterprise application UIs through engineering role-based adaptive behavior. RBUIS is integrated in our general-purpose platform for developing adaptive model-driven enterprise UIs. Our approach is validated from the technical and enduser perspectives by applying it to developing a prototype enterprise application and user-testing the outcome.

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Complexity in Enterprise Applications vs. Simplicity in User Experience

Cited by 12 publications

References 1 publication

Towards An Understanding of Mobile Touch Navigation in a Stereoscopic Viewing Environment for 3D Data Exploration

Towards An Understanding of Mobile Touch Navigation in a Stereoscopic Viewing Environment for 3D Data Exploration

Adaptive Model-Driven User Interface Development Systems

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