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The research on shared mental models (SMMs) focuses on the importance of all team members holding similar mental models to realize team performance. However, for a perceived decomposable task, it is not required for all team members to have similar mental models to achieve team performance. Moreover, unnecessary overlapping mental models among team members may engender information overloading, translating into suboptimal team performance. Absent from the current literature is an understanding of the factors that determine the minimal overlapping mental models required across specific members for team performance. The purpose of this study is to yield an understanding of these issues.

This study highlights that the requirement to hold similar mental models across specific team members depends on the task decomposition mechanisms used: task complexity and decomposability, subtask assigned and layer, task modularity, workflow interdependence type and tool attributes.

Unlike much prior research which measured the relationship between SMMs and team performance at the team level, our conceptualization suggests that the measurement of SMMs and team performance needs to be conducted across a team and subsets of the team or individuals depending on task complexity and decomposability. This current research offers an important viewpoint regarding when team members need to hold similar mental models to realize task performance.

By suggesting new insights into when mental models should be similar across specific team members, this research also provides understanding of why some empirical SMMs studies do not yield positive relationships between similar SMMs and team effectiveness while others do.

The purpose of this paper is to present a novel automatic planning and coordinated control method of redundant dual‐arm space robot for inner space‐station operation based on multiple sensors information by stages.

In order to improve the coordinated control capability of dual‐arm robot system, a four‐layer hierarchical control structure is designed based on the theory of centralization and decentralization. At the high‐level planning of dual‐arm system, a task decomposition strategy based on task knowledge and a task allocation strategy in terms of the robotic capability are proposed, respectively. Moreover, a control method by stages based on the information of multiple sensors is introduced to object recognition, task planning, path planning and trajectory planning. Finally, a 3D simulation and experiment of screwing nut and bolt are implemented on a dual‐arm robot system, and the feasibility and applicability of this control strategy are verified.

The automatic planning can be accomplished by means of sensors information by stages, and by this method, the autonomy and intelligence of dual‐arm space robot system can be further improved.

A new automatic planning strategy integrated with multiple sensors information by stages is proposed, and can be implemented on a dual‐arm robot system for inner space‐station operations. This method specializes in heterogeneous dual‐arm robot system.

A task decomposition strategy based on task knowledge and a task allocation strategy in terms of the robotic capability are proposed, respectively. Moreover, a control method by stages based on the information of multiple sensors is introduced to object recognition, task planning, path planning and trajectory planning of dual‐arm robot system.

Network planning is not often used in architectural design projects, partly because no actor has a realistic overview of the entire project. Despite having a relatively good idea of what their own work will involve, designers often have an inadequate understanding of what their collaborators do. Collaborative Design Planning Networks (CDPN) permit designers from different firms to build a project model in which the plans of each participant are integrated with those of the others. Actors submit partial plans describing what they intend to do. These partial plans are represented in networks composed of tasks and infotems. By representing not only tasks but also their inputs and outputs, it becomes possible to link the partial projects of the collaborating actors and construct a global project plan. The involvement of every actor in the construction of the plan ensures both that the plan more accurately reflects the project and provides a greater degree of commitment to the plan by the individual actors.

In this paper we present a new approach for integrating knowledge management and business process management. We focus on the modelling of weakly‐structured knowledge‐intensive business processes. We develop a framework for modelling this type of processes that explicitly considers knowledge‐related tasks and knowledge objects and present a workflow tool that is an implementation of our theoretical meta‐model. As an example, we sketch one case study, the process for granting full old age pension as it is performed in the Greek Social Security Institution. Finally we briefly describe some related approaches and compare them to our work and draw the main conclusions and further research directions.

An IDEF0 model contains information describing how an organization executes its business processes. Describes how informa‐ tion from IDEF0 process models can be used to support execution of knowledge worker business processes via an automated system called the knowledge worker system (KWS). KWS enables an organization to implement an online business process model of their organization that contains information about the organization’s tasks along with the information resources and computer applica‐tions required to support task execution. Through this online model, KWS provides daily support to knowledge workers in the execution of the organization’s processes.

The study consists of a literature study and a case study. The need for a method via which to handle instruction complexity was identified in both studies. The proposed method was developed based on methods from the literature and experience from the case company.

The purpose of the study presented in this paper is to investigate how linking different maintenance domains in a modular maintenance instruction architecture can help reduce the complexity of maintenance instructions.

The proposed method combines knowledge from the operational and physical domains to reduce the number of instruction task variants. In a case study, the number of instruction task modules was reduced from 224 to 20, covering 83% of the maintenance performed on emergency shutdown valves.

The study showed that the other methods proposed within the body of maintenance literature mainly focus on the development of modular instructions, without the reduction of complexity and non-value-adding variation observed in the product architecture literature.

Based on organizational task decomposition, an extensive role‐based access control (ERBAC) model is proposed in this paper. In ERBAC, the abstract concept of “permission” in RBAC96 is substituted by a set of “tasks”, mutual exclusion of basic business actions and mutual exclusion of roles are presented, and separation of duty (SoD) policy is defined formally. Furthermore, a method of identifying mutual exclusion of roles is described, and static SoD and dynamic SoD algorithms are discussed. This paper is significant for modeling and implementing business‐oriented SoD policy for information systems.

This article proposes a strategy to make the testing step easier, generating user acceptance tests (UATs) in an automatic way from requirements artifacts.

This strategy is based on two modeling frameworks: scenarios and task/method paradigm. Scenarios are a requirement artifact used to describe business processes and requirements, and task/method paradigm is a modeling paradigm coming from the artificial intelligence field. The proposed strategy is composed of four steps. In the first step, scenarios are described through a semantic wiki website. Then scenarios are automatically translated into a task/method model (step two). In the third step, the task/method model obtained in step two is executed in order to produce and store all possible achievements of tasks and thus scenarios. The stored achievements are saved in a data structure called execution tree (ET). Finally, from this ET (step four), the UATs are generated.

The feasibility of this strategy is shown through a case study coming from the agriculture production systems field.

Generally, test design approaches deal with a small number of variables describing one specific situation where a decision table or workflow is used to design tests. The proposed approach can deal with many variables because the authors rely on scenarios that can be composed in order to obtain a tree with all the testing paths that can arise from their description.

The design of tests is a very important step in the software development process because it allows us to match the users’ expectations with the finished product. Considered as a cumbersome activity, efforts have been made to automatize and alleviate the burden of test generation, but it is still a largely neglected step. The study aims to propose taking advantage of existing requirement artifacts, like scenarios that describe the dynamic of the domain in a very early stage of software development, to obtain tests from them.

In particular, the approach proposed complement the scenarios that are textually described with a glossary, the language extended lexicon. Thus, a set of rules to derive tests from scenarios is also proposed. The tests are then described using the task/method model.

The main findings of this study consist of an extension of a previously presented set of rules. And, a tool based on a media wiki platform that makes possible to record scenarios and the language extended lexicon and implement the rules to obtain the tests.

The main originality of this study is the glossary which complements scenarios, the semantic support to obtain tests and the tool to automatize the approach.

The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal.

After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations.

The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations.

This paper will help researchers solve the social public decision-making problems in large-scale simulations.