Engineering adaptive user interfaces for enterprise applications

The user interface (UI) layer is considered an important component in software applications since it links the users to the software’s functionality. Enterprise applications such as enterprise resource planning and customer relationship management systems have very complex UIs that are used by users with diverse needs in terms of the required features and layout preferences. The inability to cater for the variety of user needs diminishes the usability of these applications. One way to cater for those needs is through adaptive UIs. Some enterprise software providers offer mechanisms for tailoring UIs based on the variable user needs, yet those are not generic enough to be used with other applications and require maintaining multiple UI copies manually. A generic platform based on a model-driven approach could be more reusable since operating on the model level makes it technology independent. The main objective of this research is devising a generic, scalable, and extensible platform for building adaptive enterprise application UIs based on a runtime model-driven approach. This platform primarily targets UI simplification, which we defined 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. This paper provides an overview of the research questions and methodology, the results that were achieved so far, and the remaining work

Using interpreted runtime models for devising adaptive user interfaces of enterprise applications

Although proposed to accommodate new technologies and the continuous evolution of business processes and business rules, current model-driven approaches do not meet the flexibility and dynamic needs of feature-rich enterprise applications. This paper illustrates the use of interpreted runtime models instead of static models or generative runtime models, i.e. those that depend on code generation. The benefit of interpreting runtime models is illustrated in two enterprise user interface (UI) scenarios requiring adaptive capabilities. Concerned with devising a tool-supported methodology to accommodate such advanced adaptive user interface scenarios, we propose an adaptive UI architecture and the meta-model for such UIs. We called our architecture Custom Enterprise Development Adaptive Architecture (CEDAR). The applicability and performance of the proposed approach are evaluated by a case study

RBUIS: simplifying enterprise application user interfaces through engineering role-based adaptive behavior

Enterprise applications such as customer relationship management (CRM) and enterprise resource planning (ERP) are very large scale, encompassing millions of lines-of-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-of-use, 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 end-user perspectives by applying it to developing a prototype enterprise application and user-testing the outcome

Adapt-First: a MDE Transformation Approach for Supporting User Interface Adaptation

Adapting user interfaces to different contexts of use is essential to enhance usability. Adaptation enhances user satisfaction by meeting changing context of use requirements. However, given the variety of contexts of use, and the significant amount of involved information and contextual treatments, transformations of user interface models that consider adaptation become complex. This complexity becomes a challenge when trying to add new adaptation rules or modify the transformation. In this paper, we present “Adapt-first”, an adaptation approach intended to simplify adaptation within model based user interfaces. It capitalizes on differentiating adaptations and concretization via two transformation techniques: concretization and translation. First-Adapt approach aims at reducing complexity and maintenance efforts of transformations from a model to another

Integrating adaptive user interface capabilities in enterprise applications

Many existing enterprise applications are at a mature stage in their development and are unable to easily benefit from the usability gains offered by adaptive user interfaces (UIs). Therefore, a method is needed for integrating adaptive UI capabilities into these systems without incurring a high cost or significantly disrupting the way they function. This paper presents a method for integrating adaptive UI behavior in enterprise applications based on CEDAR, a model-driven, service-oriented, and tool-supported architecture for devising adaptive enterprise application UIs. The proposed integration method is evaluated with a case study, which includes establishing and applying technical metrics to measure several of the method’s properties using the open-source enterprise application OFBiz as a test-case. The generality and flexibility of the integration method are also evaluated based on an interview and discussions with practitioners about their real-life projects

Designing for user attention: a method for supporting unobtrusive routine tasks

NOTICE: this is the author’s version of a work that was accepted for publication in Science of Computer Programming. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of Computer Programming, [Volume 78, Issue 10, 1 October 2013, Pages 1987–2008] DOI 10.1016/j.scico.2013.03.002The automation of user routine tasks is one of the most important challenges in the development of Ambient Intelligence systems. However, this automation may be annoying since some tasks may grab users attention in inappropriate situations. Since user attention is a valuable resource, task automation must behave in a considerate manner demanding user attention only when it is required. To address this issue, this work presents a systematic method for supporting the design and automation of unobtrusive routine tasks that can adjust their obtrusiveness level at runtime according to the user attentional resources and context. This method proposes to design the routine tasks that the system must carry out and how they must interact with users in terms of obtrusiveness. The method also provides a software infrastructure that makes the execution of the tasks at the appropriate obtrusiveness degree a reality. Finally, the system has been validated by means of usefulness and performance tests and a practical case study that demonstrates the correctness and applicability of our approach without compromising system performance.This work has been developed with the support of MICINN under the project EVERYWARE TIN2010-18011 and co-financed with ERDF, in the grants program FPU, and it has also been supported by the Christian Doppler Forschungsgesellschaft and the BMWFJ, Austria.Gil Pascual, M.; Serral Asensio, E.; Valderas Aranda, PJ.; Pelechano Ferragud, V. (2013). Designing for user attention: a method for supporting unobtrusive routine tasks. Science of Computer Programming. 78(10):1987-2008. https://doi.org/10.1016/j.scico.2013.03.002S19872008781

Automating unobtrusive personalized services in ambient media environments

The final publication is available at Springer via http://dx.doi.org/10.1007/s11042-013-1634-2In the age of ambient media, people are surrounded by lots of physical objects (media objects) for rendering the digital world in the natural environment. These media objects should interact with users in a way that is not disturbing for them. To address this issue, this work presents a design and automation strategy for augmenting the world around us with personalized ambient media services that behave in a considerate manner. That is, ambient services are capable of adjusting its obtrusiveness level (i.e., the extent to which each service intrudes the user¿s mind) by using the appropriate media objects for each user¿s situation.This work has been developed with the support of MICINN, under the project EVERYWARE TIN2010-18011, and the support of the Christian Doppler Forschungsgesellschaft and the BMWFJ, Austria.Serral Asensio, E.; Gil Pascual, M.; Valderas Aranda, PJ.; Pelechano Ferragud, V. (2014). Automating unobtrusive personalized services in ambient media environments. Multimedia Tools and Applications. 71(1):159-178. https://doi.org/10.1007/s11042-013-1634-2S159178711Bencomo N, Grace P, Flores-Cortés CA, Hughes D, Blair GS (2008) Genie: supporting the model driven development of reflective, component-based adaptive systems. In: ICSE, pp 811–814Blumendorf M, Lehmann G, Albayrak S (2010) Bridging models and systems at runtime to build adaptive user interfaces. In: Proc. of EICS 2010. 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In: Proc. of the UIST ’01, pp 191–192Ho J, Intille SS (2005) Using context-aware computing to reduce the perceived burden of interruptions from mobile devices. In: Proc. of CHI ’05. ACM, pp 909–918Horvitz E, Kadie C, Paek T, Hovel D (2003) Models of attention in computing and communication: from principles to applications. Commun ACM 46:52–59Ju W, Leifer L (2008) The design of implicit interactions: making interactive systems less obnoxious. Des Issues 24(3):72–84Kortuem G, Kawsar F, Fitton D, Sundramoorthy V (2010) Smart objects as building blocks for the internet of things. IEEE Internet Comput 14(1):44–51Lewis JR (1995) Ibm computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int J Hum Comput Interact 7(1):57–78Lugmayr A, Risse T, Stockleben B, Laurila K, Kaario J (2009) Semantic ambient media—an introduction. Multimed Tools Appl 43(3):337–359Mattern F (2003) From smart devices to smart everyday objects. In: Proc. Smart Objects Conf. (SOC 03). Springer, pp 15–16Morin B, Barais O, Jezequel JM, Fleurey F, Solberg A (2009) Models run.time to support dynamic adaptation. Comput 42(10):44–51Nelson L, Churchill EF (2005) User experience of physical-digital object systems: implications for representation and infrastructure. Paper presented at smart object systems workshop, in cojunction with ubicomp 2005Paternò F (2002) Concurtasktrees: an engineered approach to model-based design of interactive systems. In: L.E. Associates (ed) The handbook of analysis for human-computer interaction, pp 483–500Paternò F (2003) From model-based to natural development. HCI International, pp 592–596Ramchurn SD, Deitch B, Thompson MK, Roure DCD, Jennings NR, Luck M (2004) Minimising intrusiveness in pervasive computing environments using multi-agent negotiation. MobiQuitous ’04, pp 364–372Runeson P, Höst M (2009) Guidelines for conducting and reporting case study research in software engineering. 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Engineering Adaptive Model-Driven User Interfaces

Software applications that are very large-scale, can encompass hundreds of complex user interfaces (UIs). Such applications are commonly sold as feature-bloated off-the-shelf products to be used by people with variable needs in the required features and layout preferences. Although many UI adaptation approaches were proposed, several gaps and limitations including: extensibility and integration in legacy systems, still need to be addressed in the state-of-the-art adaptive UI development systems. This paper presents Role-Based UI Simplification (RBUIS) as a mechanism for increasing usability through adaptive behaviour by providing end-users with a minimal feature-set and an optimal layout, based on the context-of- use. RBUIS uses an interpreted runtime model-driven approach based on the Cedar Architecture, and is supported by the integrated development environment (IDE), Cedar Studio. RBUIS was evaluated by integrating it into OFBiz, an open-source ERP system. The integration method was assessed and measured by establishing and applying technical metrics. Afterwards, a usability study was carried out to evaluate whether UIs simplified with RBUIS show an improvement over their initial counterparts. This study leveraged questionnaires, checking task completion times and output quality, and eye-tracking. The results showed that UIs simplified with RBUIS significantly improve end-user efficiency, effectiveness, and perceived usability

Proceedings of the 2012 Workshop on Ambient Intelligence Infrastructures (WAmIi)

This is a technical report including the papers presented at the Workshop on Ambient Intelligence Infrastructures (WAmIi) that took place in conjunction with the International Joint Conference on Ambient Intelligence (AmI) in Pisa, Italy on November 13, 2012. The motivation for organizing the workshop was the wish to learn from past experience on Ambient Intelligence systems, and in particular, on the lessons learned on the system architecture of such systems. A significant number of European projects and other research have been performed, often with the goal of developing AmI technology to showcase AmI scenarios. We believe that for AmI to become further successfully accepted the system architecture is essential