Enabling Context Aware Services in the Area of AAC

2011 ◽  
pp. 159-192
Author(s):  
Lau Sian Lun ◽  
Klaus David
Keyword(s):  
Context Awareness ◽  
Remote Monitoring ◽  
State Of The Art ◽  
People With Disabilities ◽  
Potential Method ◽  
Augmentative Communication ◽  
Daily Activities ◽  
Context Aware ◽  
Movement Recognition ◽  
Future Work

Technology can be used to assist people with disabilities in their daily activities. Especially when the users have communication deficiencies, suitable technology and tools can assuage such needs. We envision that context awareness is a potential method suitable to provide services and solutions in the area of Assistive and Augmentative Communication (AAC). In this chapter, the authors give an introduction to context awareness and the state of the art. This is followed with the elaboration on how context awareness can be used in AAC. The Context Aware Remote Monitoring Assistant (CARMA) is presented as an application designed for a care assistant and his patient. A demonstration of a context aware component implemented in the CARMA application is shown in this chapter. An experiment that investigates movement recognition using an accelerometer in a smartphone and the obtained results are presented. This chapter ends with a discussion on challenges, future work and the conclusion.

Enabling Context Aware Services in the Area of AAC

2013 ◽  
pp. 1357-1381
Author(s):  
Lau Sian Lun ◽  
Klaus David
Keyword(s):  
Context Awareness ◽  
Remote Monitoring ◽  
State Of The Art ◽  
People With Disabilities ◽  
Potential Method ◽  
Augmentative Communication ◽  
Daily Activities ◽  
Context Aware ◽  
Movement Recognition ◽  
Future Work

Technology can be used to assist people with disabilities in their daily activities. Especially when the users have communication deficiencies, suitable technology and tools can assuage such needs. We envision that context awareness is a potential method suitable to provide services and solutions in the area of Assistive and Augmentative Communication (AAC). In this chapter, the authors give an introduction to context awareness and the state of the art. This is followed with the elaboration on how context awareness can be used in AAC. The Context Aware Remote Monitoring Assistant (CARMA) is presented as an application designed for a care assistant and his patient. A demonstration of a context aware component implemented in the CARMA application is shown in this chapter. An experiment that investigates movement recognition using an accelerometer in a smartphone and the obtained results are presented. This chapter ends with a discussion on challenges, future work and the conclusion.

scholarly journals Design Rules Application in Manufacturing Industries: A State of the Art Survey and Proposal of a Context-Aware Approach

2021 ◽  
pp. 335-340
Author(s):  
Armand Huet ◽  
Romain Pinquie ◽  
Philippe Veron ◽  
Frederic Segonds ◽  
Victor Fau
Keyword(s):  
State Of The Art ◽  
Manufacturing Industries ◽  
Design Rule ◽  
Context Aware ◽  
Management Tools ◽  
Design Rules ◽  
Rule Application ◽  
Workflow Integration ◽  
Industrial Designers ◽  
Future Work

Abstract[Context] In manufacturing industries, the design of a product needs to comply with many design rules. These rules are essentials as they help industrial designers to create high quality design in an efficient way. [Problem] However, the management of an ever-increasing number of design rules becomes a real problem, especially for new designers. Even if there exists some knowledge management tools for design rules, their capabilities are still limited and many companies continue to store their design rules in unstructured documents. Nowadays, design rule application is still a difficult task that needs a circular validation process between many expert services in a manufacturing company. [Proposition] In this paper, we will analyze the main existing approaches for design rules application from which we will demonstrate the need of a new approach to improve the current state-of-the-art practices. To minimize rule application impact on the design process, we propose to develop a Context-Aware Design Assistant that will perform design rule recommendation on the fly while designing using computer-aided technologies. Our Design Assistant relies on the modelling of the design rules and the design context in a single knowledge graph that can fuel a recommendation engine. [Future Work] In future work, we will describe the technical structure of the Context-Aware Design Assistant and develop it. The potential outcome of this research are: a better workflow integration of design rules application, a proactive verification of design solutions, a continuous learning of design rules, the detection and automation of design routines.

Accessible Audiovisual Translation

2020 ◽  
pp. 65-82
Author(s):  
Adriana Silvina Pagano ◽  
André Luiz Rosa Teixeira ◽  
Flávia Affonso Mayer
Keyword(s):  
Universal Design ◽  
Social Inequalities ◽  
State Of The Art ◽  
People With Disabilities ◽  
Translation Studies ◽  
Digital Infrastructure ◽  
Technological Advances ◽  
Audiovisual Translation

Ever-increasing technological advances and growing demands for accessibility have been evolving new audiovisual translation practices and shaped the development of the field within the discipline of translation studies. This chapter provides a brief survey of state-of-the-art audiovisual translation practices, with particular focus on the ways growing demands for accessibility have been met within models of integration and inclusion of people with disabilities. It briefly reviews initiatives toward universal design and accessibility thinking in the preproduction of audiovisual content. Finally, audiovisual translation is framed within a wider user-oriented model of accessibility intended to inform the planning and development of digital infrastructure toward inclusion and reduction of social inequalities.

Enhanced context-aware recommendation using topic modeling and particle swarm optimization

2021 ◽  
pp. 1-16
Author(s):  
Ibtissem Gasmi ◽  
Mohamed Walid Azizi ◽  
Hassina Seridi-Bouchelaghem ◽  
Nabiha Azizi ◽  
Samir Brahim Belhaouari
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
State Of The Art ◽  
Weighting Function ◽  
Contextual Factors ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Pso Algorithm ◽  
Context Aware ◽  
Proposed Model

Context-Aware Recommender System (CARS) suggests more relevant services by adapting them to the user’s specific context situation. Nevertheless, the use of many contextual factors can increase data sparsity while few context parameters fail to introduce the contextual effects in recommendations. Moreover, several CARSs are based on similarity algorithms, such as cosine and Pearson correlation coefficients. These methods are not very effective in the sparse datasets. This paper presents a context-aware model to integrate contextual factors into prediction process when there are insufficient co-rated items. The proposed algorithm uses Latent Dirichlet Allocation (LDA) to learn the latent interests of users from the textual descriptions of items. Then, it integrates both the explicit contextual factors and their degree of importance in the prediction process by introducing a weighting function. Indeed, the PSO algorithm is employed to learn and optimize weights of these features. The results on the Movielens 1 M dataset show that the proposed model can achieve an F-measure of 45.51% with precision as 68.64%. Furthermore, the enhancement in MAE and RMSE can respectively reach 41.63% and 39.69% compared with the state-of-the-art techniques.

scholarly journals Context-aware recommender systems and cultural heritage: a survey

2021 ◽  
Author(s):  
Mario Casillo ◽  
Francesco Colace ◽  
Dajana Conte ◽  
Marco Lombardi ◽  
Domenico Santaniello ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Recommender Systems ◽  
Context Awareness ◽  
Technological Development ◽  
Context Aware ◽  
Human Beings ◽  
Context Analysis ◽  
Analysis Techniques ◽  
The Right ◽  
Technological Improvements

AbstractIn the Big Data era, every sector has adapted to technological development to service the vast amount of information available. In this way, each field has benefited from technological improvements over the years. The cultural and artistic field was no exception, and several studies contributed to the aim of the interaction between human beings and artistic-cultural heritage. In this scenario, systems able to analyze the current situation and recommend the right services play a crucial role. In particular, in the Recommender Systems field, Context-Awareness helps to improve the recommendations provided. This article aims to present a general overview of the introduction of Context analysis techniques in Recommender Systems and discuss some challenging applications to the Cultural Heritage field.

App2Vec: Context-Aware Application Usage Prediction

2021 ◽  
Vol 15 (6) ◽  
pp. 1-21
Author(s):  
Huandong Wang ◽  
Yong Li ◽  
Mu Du ◽  
Zhenhui Li ◽  
Depeng Jin
Keyword(s):  
Dirichlet Process ◽  
Service Providers ◽  
State Of The Art ◽  
Representation Learning ◽  
Context Aware ◽  
Challenging Problem ◽  
Performance Gap ◽  
Bayesian Mixture Model ◽  
Bayesian Mixture ◽  
Spatio Temporal

Both app developers and service providers have strong motivations to understand when and where certain apps are used by users. However, it has been a challenging problem due to the highly skewed and noisy app usage data. Moreover, apps are regarded as independent items in existing studies, which fail to capture the hidden semantics in app usage traces. In this article, we propose App2Vec, a powerful representation learning model to learn the semantic embedding of apps with the consideration of spatio-temporal context. Based on the obtained semantic embeddings, we develop a probabilistic model based on the Bayesian mixture model and Dirichlet process to capture when , where , and what semantics of apps are used to predict the future usage. We evaluate our model using two different app usage datasets, which involve over 1.7 million users and 2,000+ apps. Evaluation results show that our proposed App2Vec algorithm outperforms the state-of-the-art algorithms in app usage prediction with a performance gap of over 17.0%.

scholarly journals Context-Aware Business Process Management

2021 ◽  
Author(s):  
Jan vom Brocke ◽  
Marie-Sophie Baier ◽  
Theresa Schmiedel ◽  
Katharina Stelzl ◽  
Maximilian Röglinger ◽  
...  
Keyword(s):  
Business Process ◽  
Process Design ◽  
Context Awareness ◽  
Business Process Management ◽  
Process Management ◽  
Design Science ◽  
Status Quo ◽  
Context Aware ◽  
The Status ◽  
Successful Business

AbstractContext awareness is essential for successful business process management (BPM). So far, research has covered relevant BPM context factors and context-aware process design, but little is known about how to assess and select BPM methods in a context-aware manner. As BPM methods are involved in all stages of the BPM lifecycle, it is key to apply appropriate methods to efficiently use organizational resources. Following the design science paradigm, the study at hand addresses this gap by developing and evaluating the Context-Aware BPM Method Assessment and Selection (CAMAS) Method. This method assists method engineers in assessing in which contexts their BPM methods can be applied and method users in selecting appropriate BPM methods for given contexts. The findings of this study call for more context awareness in BPM method design and for a stronger focus on explorative BPM. They also provide insights into the status quo of existing BPM methods.

Towards context-aware environments: A framework for tagging context awareness

2013 ◽  
Author(s):  
Salvador W. Nava-Diaz ◽  
Gabriel Chavira ◽  
Jorge Regalado ◽  
Gerardo Quiroga ◽  
Roberto Pichardo
Keyword(s):  
Context Awareness ◽  
Context Aware

A study on next‐generation digital library using context‐awareness technology

2013 ◽  
Vol 31 (2) ◽  
pp. 236-253 ◽  
Author(s):  
Younghee Noh
Keyword(s):  
Digital Library ◽  
Digital Libraries ◽  
Context Awareness ◽  
Theoretical Research ◽  
Context Aware ◽  
Semantic Retrieval ◽  
Next Generation ◽  
Climate Control ◽  
Content Type ◽  
Reference Services

PurposeThis study seeks to examine the concepts of context, context‐awareness, and context‐awareness technology needed for applying context‐awareness technology to the next‐generation of digital libraries, and proposed context‐aware services that can be applied to any situation by illustrating some library contexts.Design/methodology/approachThe paper investigated both theoretical research and case analysis studies before suggesting a service model for context‐awareness‐based libraries by examining the context, context‐awareness, and context‐awareness technology in depth.FindingsThis paper derived possible library services which could be provided if context‐awareness services are implemented by examining and analyzing case studies and systems constructed in other fields. A library‐applied context‐aware system could recognize users entering the library and provide optimal services tailored to each situation for both new and existing users. In addition, the context‐awareness‐based library could provide context‐awareness‐based reference services, context‐awareness‐based loan services, and cater to other user needs in the stacks, research space, and a variety of other information spaces. The context‐awareness‐based library could also recognize users in need of emergency assistance by detecting the user's behavior, movement path, and temperature, etc. Comfort or climate‐control services could provide the user with control of the temperature, humidity, illumination and other environmental elements to fit the circumstances of users, books, and instruments through context‐aware technology.Practical implicationsNext‐generation digital libraries apply new concepts such as semantic retrieval, real‐time web, cloud computing, mobile web, linked data, and context‐awareness. Context‐awareness‐based libraries can provide applied context‐awareness access service, reactive space according to the user's access, applied context‐awareness lobbies, applied context‐awareness reference services, and applied context‐awareness safety services, context‐awareness‐based comfort services and so on.Originality/valueReal instances of libraries applying context‐aware technology are few, according to the investigative results of this study. The study finds that the next‐generation digital library using context‐awareness technology can provide the best possible service for the convenience of its users.

scholarly journals CONTEXT STORAGE USING CLOUD-BASED MONGODB WITH RULE-BASED RETE ALGORITHM

2021 ◽  
Vol 9 (2) ◽  
pp. 1022-1030
Author(s):  
Shivakumar. C, Et. al.
Keyword(s):  
Sensor Network ◽  
Context Awareness ◽  
Research Work ◽  
Context Aware ◽  
The Novel ◽  
Rule Based ◽  
Smart System ◽  
Context Aware Computing ◽  
Context Data ◽  
Day By Day

In this Context-aware computing era, everything is being automated and because of this, smart system’s count been incrementing day by day.  The smart system is all about context awareness, which is a synergy with the objects in the system. The result of the interaction between the users and the sensors is nothing but the repository of the vast amount of context data. Now the challenging task is to represent, store, and retrieve context data. So, in this research work, we have provided solutions to context storage. Since the data generated from the sensor network is dynamic, we have represented data using Context dimension tree, stored the data in cloud-based ‘MongoDB’, which is a NoSQL. It provides dynamic schema and reasoning data using If-Then rules with RETE algorithm. The Novel research work is the integration of NoSQL cloud-based MongoDB, rule-based RETE algorithm and CLIPS tool architecture. This integration helps us to represent, store, retrieve and derive inferences from the context data efficiently..                       

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