Extending OCCI for an autonomous SLA negotiation strategy in federated clouds

Each cloud service provider provides only an interface of its own cloud infrastructure for enabling clients to use its cloud resources. However, there is a number of difficulties for cloud providers to ensure proper functioning. One of the main problems of a cloud provider is the lack of resources to support a huge number of on-demand resources provisioning. Thus, resources cannot be distributed among different cloud providers since the federation is not the basic operation of the cloud provider. The most efficient way to overcome this problem is to extend the interface's cloud provider with an automatic negotiation to dynamically form the best agreement between the different cloud providers based on the service level agreement. In this article, we propose an extension for the Open Cloud Computing Interface which is the standardized interface for the cloud computing to support the automatic negotiation between the different cloud providers. To prove the efficiency and the effectiveness of our approach, we implement a prototype to evaluate the key presented in this article.     

Identifying competences for the design of systems supporting complex decision-making tasks: a managerial planning application

The work presented in this paper is addressed to the front-end phases of the development of a system supporting a complex decision-making task: high-level managerial planning in small-to-medium enterprises (SMEs). It attempts to identify characteristics of the competences possessed by experienced managers and used when taking high-level managerial planning decisions, and to assess their potential implications for system design. The work is based on the assumption that the design of effective systems supporting complex decision-making tasks in a specific domain, would require elicitation of competences possessed by experienced persons in the domain, especially those related to the mental processes followed when confronting the cognitive constraints involved in the specific decision-making environment. Such an investigation would lead to the development of systems improving decision making since they would (1) respond to the difficulties met by potential users in performing complex decision-making tasks; (2) reduce possible negative consequences of users' decision-making competences; and (3) at the same time they would achieve the required compatibility with users' mental processes. The research methodology was based on a planning scenario and on an analysis of verbal protocols obtained from a sample of small-enterprise managers confronted with this scenario. Results provide evidence about (1) the type of decisions and actions taken by experienced managers when confronted with the cognitive constraints involved in managerial planning situations; (2) phases and sequence of the process of arriving at planning decisions; and (3) data used and types of analyses performed. Some general implications are drawn from these results with respect to the configuration of a system aiming at supporting managerial planning. These refer to the type of support to be provided at various phases of the planning process, possible features of the human-computer interface, and generic or task/user specific aspects of the system.     

Cognitive support,UML adherence,and XMI interchange in Argo/UML

Software design is a cognitively challenging task. Most software design tools provide support for editing, viewing, storing, and transforming designs, but lack support for the essential and difficult cognitive tasks facing designers. These cognitive tasks include decision-making, decision ordering, and task-specific design understanding.This paper describes Argo/UML, an object-oriented design tool using the unified modeling language (UML) design notation. Argo/UML supports several identified cognitive needs of software designers. This support is provided in the form of design tool features. We describe each feature in the context of Argo/UML and provide enough detail to enable other tool builders to provide similar support in their own tools. We also discuss our implementation of the UML and XMI standards, and our development approach.     

Integrating specification of human-computer interface with Jackson system development

Procedures for integrating task analysis and design of the human-computer interface (HCl) with a structured system development method, Jackson system development (JSD), are described. Process structure diagrams (PSDs), the major modelling notation of JSD, described tasks, and task specifications were evaluated for cognitive complexity. Task complexity analysis helped allocation and design of human tasks and to produce computer task support specifications. The cognitive dimension of task analysis highlighted the need for task support actions, especially information display support for working memory. Dialogue specification for a direct manipulation interface design was based on the JSD entity/event model from which the interaction metaphor, screen design, and permissible manipulations were derived. Further PSDs were constructed to specify interface object management processes. Preliminary evaluation of the method was carried out using JSD analysts. Results showed the method proved easy to learn even for non-HCl specialists.     

导弹总体方案设计软件系统设计与实现

针对提高导弹研制效率,研究了支持导弹总体方案设计软件构造的建模方法和软件实现技术,开发了相应软件系统。针对多方案设计过程中任务组织和数据交互动态变化的特点,采用一种通用的建模方法,以5类模型表达基本设计活动及数据结构,可使层次式模型管理策略实现全局组织和调度。依据此建模方法和多方案设计需求,设计了面向对象的模型数据结构和知识库接口方案,解决了软件实现关键问题。在VS.net环境下发展了一套战术导弹设计软件MCDesign,初步应用表明,提出的建模方法和软件设计思想可较好地支持战术导弹的多方案选型。     

Making Instance-based Learning Theory usable and understandable: The Instance-based Learning Tool

This paper focuses on the creation and presentation of a user-friendly experience for developing computational models of human behavior. Although computational models of human behavior have enjoyed a rich history in cognitive psychology, they have lacked widespread impact, partly due to the technical knowledge and programming required in addition to the complexities of the modeling process. We describe a modeling tool called IBLTool that is a computational implementation of the Instance-based Learning Theory (IBLT). IBLT is a theory that represents how decisions are made from experience in dynamic tasks. The IBLTool makes IBLT usable and understandable to a wider community of cognitive and behavioral scientists. The tool uses graphical user interfaces that take a modeler step-by-step through several IBLT processes and help the modeler derive predictions of human behavior in a particular task. A task would connect and interact with the IBLTool and store the decision-making data while the tool collects statistical data from the execution of a model for the task. We explain the functioning of the IBLTool and demonstrate a concrete example of the design and execution of a model for the Iowa Gambling task. The example is intended to provide a concrete demonstration of the capabilities of the IBLTool.     

Measuring Cognitive Load Using Linguistic Features: Implications for Usability Evaluation and Adaptive Interaction Design

An intelligent adaptable system, aware of a user’s experienced cognitive load, may help improve performance in complex, time-critical situations by dynamically deploying more appropriate output strategies to reduce cognitive load. However, measuring a user’s cognitive load robustly, in real-time is not a trivial task. Many research studies have attempted to assess users’ cognitive load using different measurements, but these are often unsuitable for deployment in real-life applications due to high intrusiveness. Relatively novel linguistic behavioral features as potential indices of user’s cognitive load is proposed. These features may be collected implicitly and nonintrusively supporting real-time assessment of users’ cognitive load and accordingly allowing adaptive usability evaluation and interaction. Results from a laboratory experiment show significantly different linguistic patterns under different task complexities and cognitive load levels. Implications of the research for adaptive interaction are also discussed, that is, how the cognitive load measurement-based approach could be used for user interface evaluation and interaction design improvement.     

Bridging the gap between analysis and design: improving existing driver interfaces with tools from the framework of cognitive work analysis

Two studies of train driving are presented, both within the framework of cognitive work analysis. In the first study, the modelling tool abstraction–decomposition space is adapted to routine conditions, making the analysis more representative for normal procedures. A major contribution to these analyses was the use of the method for ‘collegial verbalisation’. One particular advantage with this method over other verbalisation methods is that it supplies the analysts with data that contain much more information, but not at the expense of being more subjective. On the contrary, this method produces think-aloud protocols from video-recordings that do not have to be interpreted by the researcher. From these analyses, it was possible to distinguish information that is an intrinsic part of the train driver task from information that is dependent on the configuration and design of the current support system. The analyses show that the driver works in three rather separate time intervals with a long-range, a short-term and an immediate sense of perspective. The driver switches between these while travelling between two stations. Based on these behaviour-shaping constraints, a prototype of a planning area of a driver interface was developed, making feed-forward planning possible for the driver. Four design iterations were completed, using a user-centred system design (UCSD) approach. Early tests show that the planning area of the interface supports the feed-forward decision strategy used by drivers who prefer an active driving style. However, the driver group also made substantial changes in the design, indicating that UCSD is an efficient tool in order to capture user competencies, and to bridge the gap between analysis and design.     

Considering perception and cognition in the design of an instructional software package

An instructional multimedia software package was developed for use by students taking introductory physics courses. Studies have indicated that many of these students possess a set of common misunderstandings of graphs describing the motion of objects. The software described here was constructed as a student tool which would specifically address these difficulties. The impact of educational psychology, cognitive science, and human factors research on software design and user interface development are described. This work was supported by NSF grant MDR-9154127 with additional support from the RasterOps Corporation, Sony Corporation of America, and Apple Computer, Inc.     

Evaluation of a computerized aid for creating human behavioral representations of human-computer interaction

The research reported herein presents the results of an empirical evaluation that focused on the accuracy and reliability of cognitive models created using a computerized tool: the cognitive analysis tool for human-computer interaction (CAT-HCI). A sample of participants, expert in interacting with a newly developed tactical display for the U.S. Army's Bradley Fighting Vehicle, individually modeled their knowledge of 4 specific tasks employing the CAT-HCI tool. Measures of the accuracy and consistency of task models created by these task domain experts using the tool were compared with task models created by a double expert. The findings indicated a high degree of consistency and accuracy between the different "single experts" in the task domain in terms of the resultant models generated using the tool. Actual or potential applications of this research include assessing human-computer interaction complexity, determining the productivity of human-computer interfaces, and analyzing an interface design to determine whether methods can be automated.     

Situated cognitive engineering for crew support in space

Space crews are in need for excellent cognitive support to perform nominal and off-nominal actions. This paper presents a coherent cognitive engineering methodology for the design of such support, which may be used to establish adequate usability, context-specific support that is integrated into astronaut’s task performance and/or electronic partners who enhance human–machine team’s resilience. It comprises (a) usability guidelines, measures and methods, (b) a general process guide that integrates task procedure design into user interface design and a software framework to implement such support and (c) theories, methods and tools to analyse, model and test future human–machine collaborations in space. In empirical studies, the knowledge base and tools for crew support are continuously being extended, refined and maintained.     

A CAE-integrated distributed collaborative design system for finite element analysis of complex product based on SOOA

Large-scale finite element analysis of complex product needs a wider support from external CAE resources. This paper proposes a method of the distributed concurrent and collaborative design in the distributed intelligent resources environment to use Web-based extended manufacturing resources for product development. The CAE-integrated distributed collaborative design system architecture and enabling techniques are presented. Distributed CAE service resources on the Internet are achieved through Jini^TM and service object-oriented architecture technologies. These CAE software tool resources are encapsulated as service providers in the system. A case study of railway bogie development is presented, and the Pro/E, HyperMesh, Ansys and HumanExpert service providers dynamically invoked and integrated as a temporary service federated environment with no need to know the exact location of a provider beforehand, flexibility can be well achieved, and collaborative design in the system can be implemented in the distributed dynamic environment. Compared with the traditional design system, some preliminary results indicate this architecture can shorten the cycle of service exchange, and strongly support concurrent and collaborative design of the complex product.     

Cognitive engineering of a new telephone operator workstation using COGNET

Many cognitive engineering methodologies for user-centered design involve modeling procedural knowledge; others deal with domain semantics or conceptual models. COGnitive NEwork of Tasks (COGNET) is a framework for modeling human cognition and decision-making which provides an integrated representation of the knowledge, behavioral actions, strategies and problem solving skills used in a domain or task situation, yielding a powerful cognitive engineering tool. A case study of the design of the user interface for a new telephone operator workstation is presented to illustrate the derivation of the design from the components of the COGNET model. The model does not directly convey any specific feature of the interface design, but rather a formal representation of what the user must do with the resulting interface. This information is then evolved through a set of transformations which systematically move toward design features, in a fully traceable manner.

Relevance to industry

With the increasing prevalence of technical systems in complex work domains, cognitive engineering is necessary in designing the user interface for those systems to promote efficient integration of person and machine. The cognitive engineering methodology presented here addresses that need.     

Trust-inspiring explanation interfaces for recommender systems

A recommender system’s ability to establish trust with users and convince them of its recommendations, such as which camera or PC to purchase, is a crucial design factor especially for e-commerce environments. This observation led us to build a trust model for recommender agents with a focus on the agent’s trustworthiness as derived from the user’s perception of its competence and especially its ability to explain the recommended results. We present in this article new results of our work in developing design principles and algorithms for constructing explanation interfaces. We show the effectiveness of these principles via a significant-scale user study in which we compared an interface developed based on these principles with a traditional one. The new interface, called the organization interface where results are grouped according to their tradeoff properties, is shown to be significantly more effective in building user trust than the traditional approach. Users perceive it more capable and efficient in assisting them to make decisions, and they are more likely to return to the interface. We therefore recommend designers to build trust-inspiring interfaces due to their high likelihood to increase users’ intention to save cognitive effort and the intention to return to the recommender system.     

Characterizing user performance in command-driven dialogue

To learn to use an interactive system, a person typically has to acquire a good deal of new knowledge. The ease of learning will depend on the extent to which the design of the task and the interface capitalizes on the user's pre-existing knowledge and his or her cognitive capabilities for learning. This paper explores the nature of both design decisions and user learning with a command-based system. Three studies were conducted, all involving a task in which secret messages were decoded by means of a sequence of commands (based on the task used by Barnard et al. In Study I, software specialists designed command structures for the task and gave reasons for their choices. In Study II, naive subjects chose between alternative command terms. In Study TTI, subjects learned to use interactive versions of the task in which dialogue factors (command terms and argument structures) were systematically varied. The results enabled the development of user knowledge of the system to be specified in detail. Comparisons across the three studies highlighted the diversity of the factors determining both design decisions and user behaviour.     

An ontology-based universal design knowledge support system

An effective and efficient knowledge support system is crucial for universal design process, as it has become a major design issue in the last decade with the growth of the elderly population and disabled people. There are a limited number of CAD investigations on the nature of knowledge processing that supports the cognitive activities of universal design process. Therefore, this paper proposes an ontology-based computer-assisted universal design (CAUD) plug-in tool that supports designers in developing satisfactory universal design solutions in the conceptual design phase. The required knowledge processing and representation of the developed tool is motivated by the ontological language. It is based on the multiple divergence–convergence cognitive strategies and cognitive needs of designers in the analysis/synthesis/evaluation operations. The CAUD plug-in tool is the first attempt to interface the universal design knowledge ontologically and respond to the requirements of conceptual design phase. According to the user acceptance study, the tool is assessed as useful, understandable, efficient, supportive and satisfactory.     

Investigating designers’ and users’ cognitive representations of products to assist inclusive interaction design

There is strong evidence of the importance of good interaction design in the creation of intuitive-use products. However, there is also a strong indication, both in the literature and in the study with designers documented in this paper, that despite this evidence designers get little support in adequately representing, analysing and comparing design and user information. Since designers require a practical and relatively easy-to-use support tool that would enable them to better understand cognitive processes of users and evaluate the accessibility and usability of different product features, this paper proposes the Goals-Actions-Beliefs-Objects (GABO) modelling approach that can form the basis of such a tool for designers. The four distinct stages of the GABO approach are designed to assess and compare designers and users’ understanding and usage of everyday products. The evaluation results of the GABO approach with eight product designers have indicated that designers find it useful and effective in identifying the key similarities and differences in the understanding of designers and users.     

Extensible Prototyping for pragmatic engineering of knowledge-based systems

Knowledge-based systems (KBSs) have been built and practically applied in various contexts for decades. Yet, they still challenge developers by their complexity: Apart from a sound knowledge base they likewise require comprehensive user interface (UI) and interaction design for supporting the task at hand optimally. However, current KBS-Engineering methodologies still mostly focus on knowledge base development, regarding UI/interaction design a more incidental, low priority task. Thus, the UI often is developed in a rather ad hoc manner, thereby neglecting the potential of experimental design and creating reusable solutions. The integration of (rapid) evolutionary prototyping activities with KBS Engineering offers the chance for incorporating UI/interaction design more prominently into the process while at the same time leveraging the overall development task; specifically, we propose Extensible Prototyping as a tailored prototyping approach and we suggest its integration with the Agile Process Model for knowledge-based systems in this paper. For practical support, we further introduce the customized prototyping and knowledge systems engineering tool ProKEt, and we report on practical experiences with applying both the approach and the tool.