Activity theory based context model: application for enterprise intelligent assistant systems

Dhuieb, Mohamed Anis; Laroche, Florent; Belkadi, Farouk; Bernard, Alain

doi:10.1016/j.ifacol.2015.06.187

Cited by 7 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Da Cunha Mattos et al (2014) propose a formal representation for context-aware businesses. In the field of manufacturing, context-aware approaches enable workers to receive manufacturing information according to their job and experience (Dhuieb et al, 2016). Although manufacturing differs from design, this example provides us with some details on the definition of the context that includes three viewpoints: operational (activities and tasks of the worker), organisational (team and role of the worker), and usercentric (expertise and skills).…”

Section: Cognitive Assistantsmentioning

confidence: 99%

“…We notice that few context-aware models are proposed in industrial domains. The context-aware information retrieval soft-ware that supports workers in factories (Dhuieb et al, 2016) is an exception. To the best of our knowledge, there is no knowledge graph for structuring and reasoning about a design context and large sets of heterogeneous design rules.…”

Section: Knowledge Graphmentioning

confidence: 99%

See 1 more Smart Citation

CACDA: A knowledge graph for a context-aware cognitive design assistant

Huet

Pinquié

Véron

et al. 2021

Computers in Industry

View full text Add to dashboard Cite

The design of complex engineered systems highly relies on a laborious zigzagging between computeraided design (CAD) software and design rules prescribed by design manuals. Despite the emergence of knowledge management techniques (ontology, expert system, text mining, etc.), companies continue to store design rules in large and unstructured documents. To facilitate the integration of design rules and CAD software, we propose a knowledge graph that structures a large set of design rules in a computable format. The knowledge graph organises entities of design rules (nodes), relationships among design rules (edges), as well as contextual information. The categorisation of entities and relationships in four subcontexts: semantic, social, engineering, and IT -facilitates the development of the data model, especially the definition of the "design context" concept. The knowledge graph paves the way to a context-aware cognitive design assistant. Indeed, connected to or embedded in a CAD software, a context-aware cognitive design assistant will capture the design context in near real time and run reasoning operations on the knowledge graph to extend traditional CAD capabilities, such as the recommendation of design rules, the verification of design solutions, or the automation of design routines. Our validation experiment shows that the current version of the context-aware cognitive design assistant is more efficient than the traditional document-based design. On average, participants using an unstructured design rules document have a precision of 0.36 whereas participants using our demonstrator obtain a 0.61 precision score. Finally, designers supported by the design assistant spend more time designing than searching for applicable design rules compared to the traditional design approach.

show abstract

Section: Cognitive Assistantsmentioning

confidence: 99%

Section: Knowledge Graphmentioning

confidence: 99%

CACDA: A knowledge graph for a context-aware cognitive design assistant

Huet

Pinquié

Véron

et al. 2021

Computers in Industry

View full text Add to dashboard Cite

show abstract

“…separately from the knowledge base. The context-awareness is considered as a core feature of ubiquitous computing (Dhuieb, Laroche, Belkadi, & Alain, 2015). It relies on a context notion with the aim of increasing the ubiquitous system capabilities in order to adapt the service they provide to the situation of the user.…”

Section: Ubiquitous Knowledge Accessmentioning

confidence: 99%

Intelligent assistant system as a context-aware decision-making support for the workers of the future

Belkadi

Dhuieb

Aguado

et al. 2020

Computers & Industrial Engineering

Self Cite

View full text Add to dashboard Cite

The key role of information and communication technologies (ICT) to improve manufacturing productivity within the paradigm of factory of the future is often proved. These tools are used in a wide range of product lifecycle activities, from the early design phase to product recycling. Generally, the assistance tools are mainly dedicated to the management board and fewer initiatives focus on the operational needs of the worker at the shop-floor level. This paper proposes a context-aware knowledge-based system dedicated to support the actors of the factory by the right information at the right time and in the appropriate format regarding their context of work and level of expertise. Particularly, specific assistance functionalities are dedicated to the workers in charge of the machine configuration and the realization of manufacturing operations. PGD-based (Proper Generalized Decomposition) algorithms are used for real time simulation of industrial processes and machine configuration. At the conceptual level, a semantic model is proposedas key enablersfor the structuration of the knowledgebased system.

show abstract

“…Research around the AT are substantial and have had many contributions in the fields of education [73] and learning in collaborative environments [74], online learning [75], digital teaching [76], collection and analysis of learning data [77], creativity development methodology [78], information systems [79], apps [80], inclusive education [81], and Building Information Modelling (BIM) implementation [82]. In relation to BMs, there are some works such as designing BMs from different perspectives [83], digital BMs [84], and application to Smart companies [85]. From the point of view of the BM, they do not provide an explicit methodology since they mainly focus on the design and characterization of the different subjects in a qualitative way.…”

Section: Business As Activity That Creates Valuementioning

confidence: 99%

Eco-Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain towards Digital Transition

et al. 2020

View full text Add to dashboard Cite

The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects.

show abstract

Activity theory based context model: application for enterprise intelligent assistant systems

Cited by 7 publications

References 18 publications

CACDA: A knowledge graph for a context-aware cognitive design assistant

CACDA: A knowledge graph for a context-aware cognitive design assistant

Intelligent assistant system as a context-aware decision-making support for the workers of the future

Eco-Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain towards Digital Transition

Contact Info

Product

Resources

About