Search results for "Context model"
showing 10 items of 11 documents
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning
2021
This article provides an overview of the recently proposed forward model approximation framework for learning games of the general video game artificial intelligence (GVGAI) framework. In contrast to other general game-playing algorithms, the proposed agent model does not need a full description of the game but can learn the game's rules by observing game state transitions. Based on hierarchical knowledge bases, the forward model can be learned and revised during game-play, improving the accuracy of the agent's state predictions over time. This allows the application of simulation-based search algorithms and belief revision techniques to previously unknown settings. We show that the propose…
RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes
2015
Abstract Recommender systems are used to provide filtered information from a large amount of elements. They provide personalized recommendations on products or services to users. The recommendations are intended to provide interesting elements to users. Recommender systems can be developed using different techniques and algorithms where the selection of these techniques depends on the area in which they will be applied. This paper proposes a recommender system in the leisure domain, specifically in the movie showtimes domain. The system proposed is called RecomMetz, and it is a context-aware mobile recommender system based on Semantic Web technologies. In detail, a domain ontology primarily…
Less is More! Preliminary Evaluation of Multi-Functional Document-Based Online Learning Environment
2019
This work-in-progress paper in innovative practice category presents and evaluates a multi-functional document-based learning management system, TIM (The Interactive Material). This system is developed with the goal of integrating a rich set of features seamlessly into teachers’ every-day pedagogical and disciplinary needs. The aim is that a single system (“Less”) would provide all technological solutions necessary for online teaching and learning (“More”), hence the punchline “Less is More!” We illustrate the system and evaluate it based on feedback from teachers. This preliminary evaluation focuses on how teachers reacted to the multi-functional system and is discussed in the context of T…
The Shape of Interoperability: Reviewing and Characterizing a Central Area within eGovernment Research
2012
Interoperability has been discussed and studied for more than a decade. While early discussions were very conceptual, interoperability is increasingly seen as one of the key enablers of the promised benefits from eGovernment. Consequently, and not surprisingly, a considerable amount of research has been published related to interoperability. However, a conceptual model of the interoperability domain is currently missing. We thus propose such a model based on an extensive review of a subset of the eGovernment literature published in highly ranked information systems, public administration and eGovernment journals. The model outlines and discusses actors, activities, contextual factors, effec…
Determinants to the Use of Business Process Modeling
2010
This article addresses a theoretical gap in the BPM literature on factors that influence the acceptance of process modeling (PM) in organizations. Literature review on PM and 34 qualitative interviews were combined into a PM acceptance model and empirically tested with data from 74 companies showing that PM is to a large extent a mandated activity, explaining the missing link between PM attitudes on PM intention. The study extends the TAM and the TPB to the context of process modeling and demonstrates that less studied socio-political factors in addition to awareness of PM are important to understand PM acceptance. The findings show that social influence from different stakeholder reference…
Tool Support for Model Driven Development of Pervasive Systems
2007
This work presents the PervML Generative Tool (PervGT) that supports a model driven method for the development of pervasive services in ubiquitous environments. The tool, which is based on the Eclipse platform, provides facilities for the graphical description of pervasive systems using PervML, a UML-like modeling language. Once the pervasive system is specified, the PervML model is used as input to a transformation engine that generates source code and other implementation assets. This generated code extends an OSGi-based framework in order to build the final pervasive applications
Towards a Non-Intrusive Context-Aware Speech Quality Model
2020
Understanding how humans judge perceived speech quality while interacting through Voice over Internet Protocol (VoIP) applications in real-time is essential to build a robust and accurate speech quality prediction model. Speech quality is degraded in the presence of background noise reducing the Quality of Experience (QoE). Speech Enhancement (SE) algorithms can improve speech quality in noisy environments. The publicly available NOIZEUS speech corpus contains speech in environmental background noise babble, car, street, and train at two Signal-to-noise ratio (SNRs) 5dB and 10dB. Objective Speech Quality Metrics (OSQM) are used to monitor and measure speech quality for VoIP applications. Th…
A value sensitive ABM of the refugee crisis in The Netherlands
2019
We develop an agent based model to characterize the wellbeing of newcomers (i.e. asylum seeking refugees) in the context of asylum logistics using Schwartz’s theory of values. The model produces recommendations for decision-makers with respect to avoiding catastrophic outcomes and maximizing best case outcomes. We conduct analysis to show that while a relatively simple set of conditions is necessary to avoid catastrophic outcomes, these conditions are insufficient to maximize the best case outcomes. Furthermore, the conditions that maximize one best case outcome do so at the expense of another. The result is a platform for decision-makers to understand tradeoffs in policies for government a…
Modelling contexts in cross-cultural communication environments
2011
In our research, context is defined as a situation a user has at hand. The focus in our study is on modelling contexts in cross-cultural communication environments. These environments can be physical, virtual or hybrid. Crosscultural communication environment – user – situation is the key triplet in our context research. In our paper we discuss context as a key to situation-specific computing. We introduce our cross-cultural communication context tree and context flow architecture and an example of implementation i.e. Context-Based eAssistant for Cross-Cultural Communication (CeACCC). peerReviewed
Consumer Acceptance and Use of Instagram
2016
This study extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to investigate factors affecting the acceptance and use of a social networking service (SNS) called Instagram. The UTAUT2 model is modified to better suit the context of SNSs by replacing the price value construct with self-congruence. Furthermore, we explore the effects of behavioral intention and use behavior on "user indegree" defined as the number of people who follow an SNS user. The results of the survey study largely support the hypothesized model in the context of Instagram. The findings contribute to previous knowledge by demonstrating the important roles of hedonic motivation and habit in co…