Improving collaboration efficiency via diverse networked mobile devices

Rupprecht, Franca-Alexandra; Kasakow, Georg; Aurich, Jan C.; Hamann, Bernd; Ebert, Achim

doi:10.1007/s12193-017-0251-1

Cited by 3 publications

(2 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Those are supported by continuously informing others about changes that have occurred outside their views [5]. Really interesting findings have furthermore been explored by Johnson et al who stated, that not all team members must be fully aware of the entire scope of an activity; but every participant needs to be aware of the interdependence in-between their activities [4]. The awareness of tasks and performed activities within a collaborative work session influences the coordination and performance of tasks in a positive manner.…”

Section: Related Workmentioning

confidence: 99%

“…The interactive 2-dimensional layout uses draggable nodes to facilitate the recognition of existing connections. Such a collaboration environment is IN2CO (intuitive & interactive collaboration), a humancentric visualization framework for intuitive and collaborative data exploration and manipulation has been developed therefore [4]. Specifically, its contribution is the integration of ubiquitous technologies and existing techniques to explore data and dependencies in collaborative decisionmaking for co-located and distributed participants.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work

Rupprecht

Torner

Seewig

et al. 2017

AMM

View full text Add to dashboard Cite

Abstract. Collaboration, performed by a large group of experts of diverse fields and competences, is a time-demanding and complex process. It is crucial to provide tools to facilitate the identification and manipulation of interdependencies as well as the active collaboration process. Dependency graphs of the participants can help to improve processes, to plan tasks, and to identify potential for more efficient cooperation. Such a dependency graph comprises clear defined entities, which are linked with each other based on defined relationships [1]. In the course of this work, a taxonomy of users in industrial corporations will be introduced, which is needed to define the entities and relationships of the dependency graph and is easily adaptable to specific corporations. Such a taxonomy cannot be found in the literature, but is important for the design and development of software products under the rules of user centered design [2]. However, there is still the big challenge to display a meaningful relation between those entities and to give an easy understandable overview of the whole relationship with the goal to solve complex tasks and to improve a groups' performance. Therefore, a set of parameters will be introduced, which help to find out how good tasks and work packages are distributed within the network. State-of-the-art techniques are used to visualize and recognize interdependencies and information flow. Based on a case study, the findings of this work are embedded and combined in an interactive and intuitive user interface that facilitates planners to recognize and explore complex multi-dimensional networks.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work

Rupprecht

Torner

Seewig

et al. 2017

AMM

View full text Add to dashboard Cite

show abstract

System construction for comprehensive industrial ecosystem oriented networked collaborative manufacturing platform (NCMP) based on three chains

Zhang

Ming

Bao

et al. 2022

Advanced Engineering Informatics

View full text Add to dashboard Cite

Is Group-Awareness Context-Awareness?

Pinheiro

Souveyet

2019

International Journal of E-Collaboration

View full text Add to dashboard Cite

This article discusses the interest of emerging a unified view for group awareness and context information on groupware and context-aware systems. Group awareness corresponds to an important concept on Groupware applications, allowing individual users to be kept aware of group's activities and status. Context is defined by ubiquitous computing as any relevant information that can be used to characterize the situation of an entity. We assume that group awareness information should be considered as context information and handled as such. Group awareness information is often employed for decision making, contributing to users' activities and decisions, but it gives also an important clue about user's context, characterizing individual's actions regarding the group. As such, group awareness may be used for adaptation purposes, adapting the system behavior, the supplied content or its services. Besides, architectural concerns adopted on context-aware system should also be considered when developing new groupware applications that are more and more designed as context-aware systems.

show abstract

Improving collaboration efficiency via diverse networked mobile devices

Cited by 3 publications

References 54 publications

Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work

Dependency Graph Based on User Taxonomy and Related Parameters for more Efficient Collaborative Work

System construction for comprehensive industrial ecosystem oriented networked collaborative manufacturing platform (NCMP) based on three chains

Is Group-Awareness Context-Awareness?

Contact Info

Product

Resources

About