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(1 - 15 of 15)
- Title
- Mulitmedia Technology to Enhance the Social Behavior and Verbal Communication Skills of Children with Autism Spectrum Disorder.
- Creator
- Minan, Maria Jose, Huang, Shihong, Graduate College
- Abstract/Description
-
Affecting one in every 88 children, Autism Spectrum Disorder ASD is one of the fastest growing developmental disabilities. Scientific research has proven that early behavioral intervention can improve learning, communication, and social skills. Similarly, studies have shown that the usage of off-the-shelf technology to this end boosts motivation in children under the spectrum while increasing their attention span and ability to interact socially. Embracing perspectives from different fields...
Show moreAffecting one in every 88 children, Autism Spectrum Disorder ASD is one of the fastest growing developmental disabilities. Scientific research has proven that early behavioral intervention can improve learning, communication, and social skills. Similarly, studies have shown that the usage of off-the-shelf technology to this end boosts motivation in children under the spectrum while increasing their attention span and ability to interact socially. Embracing perspectives from different fields can lead to the development of an effective tool that can complement the treatment of those with ASD. This thesis documents the re-engineering and extension of Ying, an existing mobile software application designed to aid in the learning of autistic children. Ying’s original methodology combined expertise from different fields including developmental psychology, semantic learning, and computer science. In this work, Ying is modified to incorporate additional aspects of traditional treatment, like applied behavior analysis and verbal behavior therapy, while enhancing the user experience by improving the audio and visual capabilities of the application. Using cutting-edge software technology in areas like voice recognition and mobile device applications, this project aspires to enhance social behavior and reinforce verbal communication skills in children with ASD, while detecting and storing learning patterns for later study.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00005158
- Format
- Document (PDF)
- Title
- Analyzing software repository data to synthesize and visualize relationships between development artifacts.
- Creator
- Mulcahy, James J., Huang, Shihong, Graduate College
- Abstract/Description
-
As computing technology continues to advance, it has become increasingly difficult to find businesses that do not rely, at least in part, upon the collection and analysis of data for project management and process improvement. The cost of software, for example, tends to increase over time due to its complexity and the expense of employing humans to develop, maintain, and evolve it. To help control costs, organizations often seek to improve the process by which software systems are developed...
Show moreAs computing technology continues to advance, it has become increasingly difficult to find businesses that do not rely, at least in part, upon the collection and analysis of data for project management and process improvement. The cost of software, for example, tends to increase over time due to its complexity and the expense of employing humans to develop, maintain, and evolve it. To help control costs, organizations often seek to improve the process by which software systems are developed and evolved. Improvements can be realized by discovering previously unknown or hidden relationships between the artifacts generated as a result of developing a complex software system. The objective of this the work was to engineer a visualization software tool that helps managers and engineers better plan for future projects by helping them discover new knowledge gained by synthesizing and visualizing data mined from software repository records from their own previous projects.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00005841
- Format
- Document (PDF)
- Title
- Autonomic Computing.
- Creator
- Mulcahy, James J., Huang, Shihong, Graduate College
- Abstract/Description
-
Modern software systems have grown in complexity and expense, even while costs for the supporting hardware have decreased. Humans still comprise a significant cost from the development to operation and evolution of software, and must be increasingly more skilled as systems grow more complex. Further, legacy software has become more prevalent, as sophisticated enterprise systems developed over many years approach complexity that is too expensive to replace or re-engineer. One of the major...
Show moreModern software systems have grown in complexity and expense, even while costs for the supporting hardware have decreased. Humans still comprise a significant cost from the development to operation and evolution of software, and must be increasingly more skilled as systems grow more complex. Further, legacy software has become more prevalent, as sophisticated enterprise systems developed over many years approach complexity that is too expensive to replace or re-engineer. One of the major software engineering challenges today is the maintenance and evolution of these existing legacy systems to extend the business value of the software, while mitigating the costs and increased complexity. Approaches practiced by researchers and engineers include software reuse, serviceoriented architecture, and autonomic computing principles to improve the reliability of systems, while removing the need for human monitoring and intervention where possible. In this paper, we describe a real-world project in which a multi-channel vendor of musical equipment sought to extend their legacy enterprise system to automatically process customer orders originating from a third party retailer specializing in ecommerce. To realize the solution, an addition to the existing enterprise system was developed using autonomic computing, software reuse, and service-oriented architectural approaches, producing a highly automated order processing stream that was self-monitoring, self-adaptive, and fault-tolerant, while minimizing the need for additional human resources to monitor the system and process the data.
Show less - Date Issued
- 2015
- PURL
- http://purl.flvc.org/fau/fd/FA00005902
- Format
- Document (PDF)
- Title
- Scientific data visualization interface.
- Creator
- Hughes, Rowan, Huang, Shihong
- Date Issued
- 2013-04-05
- PURL
- http://purl.flvc.org/fcla/dt/3361097
- Subject Headings
- Data visualization, Information visualization, Information visualization--Computer programs, Interactive computer systems
- Format
- Document (PDF)
- Title
- Assessing Data Interoperability ofUML Modeling Tools.
- Creator
- Gohel, Vaishali P., Huang, Shihong, Florida Atlantic University
- Abstract/Description
-
In the globalization software development environments, where the development activities are distributed geographically and temporally, it is increasingly important for the Computer Aided Software Engineering (CASE) tools to maintain the information (both syntactic and semantic) captured in the design models. The Unified Modeling Language (UML) is the de facto standard for modeling software applications and UML diagrams serve as graphical documentations of the software system. The...
Show moreIn the globalization software development environments, where the development activities are distributed geographically and temporally, it is increasingly important for the Computer Aided Software Engineering (CASE) tools to maintain the information (both syntactic and semantic) captured in the design models. The Unified Modeling Language (UML) is the de facto standard for modeling software applications and UML diagrams serve as graphical documentations of the software system. The interoperability of UML modeling tools is important in supporting the models exchange, and further support design reuse. Tool interoperability is often implemented using XML Metadata Interchange (XMI). Unfortunately, there is a loss of fidelity of the design documentation when transforming between UML and XMI due to the compatibility of different versions of UML, XMI and add-on proprietary information, which hinder reuse. This thesis evaluates the interoperability of UML modeling tools by assessing the quality of XMI documents representing the design. Case studies in this thesis demonstrate a framework of preserving the fidelity of UML model 's data when importing and exporting different UML models in a distributed heterogeneous environment.
Show less - Date Issued
- 2007
- PURL
- http://purl.flvc.org/fau/fd/FA00012519
- Subject Headings
- UML (Computer science), Computer software--Development, Software engineering, Computer-aided design
- Format
- Document (PDF)
- Title
- Facial Expression Computer Interaction System for Children with Asperger's Syndrome.
- Creator
- Amador, Francisco Javier, Huang, Shihong, Florida Atlantic University
- Abstract/Description
-
People with Autism Spectrum Disorders, particularly Asperger's Syndrome, have a set of symptoms, such as difficulty processing emotive facial expressions and making less eye contact, that affect the individual's social interactions. The prototype developed is geared to help children with Asperger's Syndrome recognize facial expressions, improve eye contact, and to reinforce connections between facial and verbal components of expressions. This application utilizes a computer generated human...
Show morePeople with Autism Spectrum Disorders, particularly Asperger's Syndrome, have a set of symptoms, such as difficulty processing emotive facial expressions and making less eye contact, that affect the individual's social interactions. The prototype developed is geared to help children with Asperger's Syndrome recognize facial expressions, improve eye contact, and to reinforce connections between facial and verbal components of expressions. This application utilizes a computer generated human head, an avatar, to interact with the children while displaying various emotions and using games to increase the children's eye contact. The unique properties of the avatar utilized allow for a comprehensive coverage of the children's attention spectrum to maximize their learning potential. Knowing that about 17% of Autism Spectrum Disorders belong to the Asperger's Syndrome subclass, the positive impact of this application on their life would be of great importance for their families and the community.
Show less - Date Issued
- 2010
- PURL
- http://purl.flvc.org/fau/fd/FA00012503
- Subject Headings
- Autism spectrum disorders--Treatment--Technological innovations, Optical pattern recognition, Interpersonal communication in children, Emotions in children, Exceptional children--Psychology, Social skills in children
- Format
- Document (PDF)
- Title
- An interactive system to enhance social and verbal communication skills of children withautism spectrum disorders.
- Creator
- Minan, Maria Jose, Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Affecting one in every 68 children, Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disabilities. Scientific research has proven that early behavioral intervention can improve learning, communication, and social skills. Similarly, studies have shown that the usage of of-the-shelf technology boosts motivation in children diagnosed with ASD while increasing their attention span and ability to interact socially. Embracing perspectives from different fields of study can...
Show moreAffecting one in every 68 children, Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disabilities. Scientific research has proven that early behavioral intervention can improve learning, communication, and social skills. Similarly, studies have shown that the usage of of-the-shelf technology boosts motivation in children diagnosed with ASD while increasing their attention span and ability to interact socially. Embracing perspectives from different fields of study can lead to the development of an effective tool to complement traditional treatment of those with ASD. This thesis documents the re-engineering, extension, and evolu- tion of Ying, an existing web application designed to aid in the learning of autistic children. The original methodology of Ying combines expertise from other research areas including developmental psychology, semantic learning, and computer science. In this work, Ying is modifed to incorporate aspects of traditional treatment, such as Applied Behavior Analysis. Using cutting-edge software technology in areas like voice recognition and mobile device applications, this project aspires to use software engineering approaches and audio-visual interaction with the learner to enhance social behavior and reinforce verbal communication skills in children with ASD, while detecting and storing learning patterns for later study.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00004306, http://purl.flvc.org/fau/fd/FA00004306
- Subject Headings
- Autism spectrum disorders in children -- Treatment -- Technological innovations, Children with autism spectrum disorders -- Education -- Technological innovations, Communication disorders in children -- Treatment -- Technological innovations, Computers and people with disabilities, Learning, Psychology of, Optical pattern recognition
- Format
- Document (PDF)
- Title
- An Augmentative System with Facial and Emotion Recognition for Improving the Skills of Children with Autism Spectrum Disorders.
- Creator
- Alharbi, Mohammed N., Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Autism spectrum disorders (ASDs) are one of the complex, pervasive, and multifactorial neurodevelopmental conditions which affect one in 68 children. Scientific research has proven the efficiency of using technologies to improve communication and social skills of autistic children. The use of technological devices, such as mobile applications and multimedia, increase the interest of autistic children to learn while playing games. This thesis presents the re-engineering, extension, and...
Show moreAutism spectrum disorders (ASDs) are one of the complex, pervasive, and multifactorial neurodevelopmental conditions which affect one in 68 children. Scientific research has proven the efficiency of using technologies to improve communication and social skills of autistic children. The use of technological devices, such as mobile applications and multimedia, increase the interest of autistic children to learn while playing games. This thesis presents the re-engineering, extension, and evolution of an existing prototype Windows-based mobile application called Ying to become an Android mobile application which is augmented with facial and emotion recognition. This mobile app complements different approaches of traditional therapy, such as Applied Behavior Analysis (ABA). Ying integrates different computer-assisted technologies, including speech recognition, audio and visual interaction, and mobile applications to enhance autistic children’s social behavior and verbal communication skills. An evaluation of the efficacy of using Ying has been conducted and its results are presented in the thesis.
Show less - Date Issued
- 2018
- PURL
- http://purl.flvc.org/fau/fd/FA00005981
- Subject Headings
- Autism spectrum disorders, Human-computer interaction, Mobile apps
- Format
- Document (PDF)
- Title
- Evolving Legacy Software Systems with a Resource and Performance-Sensitive Autonomic Interaction Manager.
- Creator
- Mulcahy, James J., Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Retaining business value in a legacy commercial enterprise resource planning system today often entails more than just maintaining the software to preserve existing functionality. This type of system tends to represent a significant capital investment that may not be easily scrapped, replaced, or re-engineered without considerable expense. A legacy system may need to be frequently extended to impart new behavior as stakeholder business goals and technical requirements evolve. Legacy ERP...
Show moreRetaining business value in a legacy commercial enterprise resource planning system today often entails more than just maintaining the software to preserve existing functionality. This type of system tends to represent a significant capital investment that may not be easily scrapped, replaced, or re-engineered without considerable expense. A legacy system may need to be frequently extended to impart new behavior as stakeholder business goals and technical requirements evolve. Legacy ERP systems are growing in prevalence and are both expensive to maintain and risky to evolve. Humans are the driving factor behind the expense, from the engineering costs associated with evolving these types of systems to the labor costs required to operate the result. Autonomic computing is one approach that addresses these challenges by imparting self-adaptive behavior into the evolved system. The contribution of this dissertation aims to add to the body of knowledge in software engineering some insight and best practices for development approaches that are normally hidden from academia by the competitive nature of the retail industry. We present a formal architectural pattern that describes an asynchronous, low-complexity, and autonomic approach. We validate the pattern with two real-world commercial case studies and a reengineering simulation to demonstrate that the pattern is repeatable and agnostic with respect to the operating system, programming language, and communication protocols.
Show less - Date Issued
- 2015
- PURL
- http://purl.flvc.org/fau/fd/FA00004527, http://purl.flvc.org/fau/fd/FA00004527
- Subject Headings
- Business logistics -- Automation, Electronic commerce -- Management, Enterprise application integration (Computer systems), Information resources management, Management information systems, Software reengineering
- Format
- Document (PDF)
- Title
- Determining the Effectiveness of Human Interaction in Human-in-the-Loop Systems by Using Mental States.
- Creator
- Lloyd, Eric, Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
A self-adaptive software is developed to predict the stock market. It’s Stock Prediction Engine functions autonomously when its skill-set suffices to achieve its goal, and it includes human-in-the-loop when it recognizes conditions benefiting from more complex, expert human intervention. Key to the system is a module that decides of human participation. It works by monitoring three mental states unobtrusively and in real time with Electroencephalography (EEG). The mental states are drawn from...
Show moreA self-adaptive software is developed to predict the stock market. It’s Stock Prediction Engine functions autonomously when its skill-set suffices to achieve its goal, and it includes human-in-the-loop when it recognizes conditions benefiting from more complex, expert human intervention. Key to the system is a module that decides of human participation. It works by monitoring three mental states unobtrusively and in real time with Electroencephalography (EEG). The mental states are drawn from the Opportunity-Willingness-Capability (OWC) model. This research demonstrates that the three mental states are predictive of whether the Human Computer Interaction System functions better autonomously (human with low scores on opportunity and/or willingness, capability) or with the human-in-the-loop, with willingness carrying the largest predictive power. This transdisciplinary software engineering research exemplifies the next step of self-adaptive systems in which human and computer benefit from optimized autonomous and cooperative interactions, and in which neural inputs allow for unobtrusive pre-interactions.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004764, http://purl.flvc.org/fau/fd/FA00004764
- Subject Headings
- Cognitive neuroscience., Neural networks (Computer science), Pattern recognition systems., Artificial intelligence., Self-organizing systems., Human-computer interaction., Human information processing.
- Format
- Document (PDF)
- Title
- A Decision Support System for Sprint Planning in Scrum Practice.
- Creator
- Alhazmi, Alhejab Shawqi, Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Scrum is one of the Agile software development processes broadly adopted in industry. Scrum promotes frequent customer involvements and incremental short release. Sprint planning is a critical step in Scrum that sets up next release goals and lays out plans to achieve those goals. This thesis presents a Sprint Planning dEcision Support System (SPESS) which is a tool to assist the managers for Sprint planning. Among considering other Sprint planning factors, SPESS takes into consideration...
Show moreScrum is one of the Agile software development processes broadly adopted in industry. Scrum promotes frequent customer involvements and incremental short release. Sprint planning is a critical step in Scrum that sets up next release goals and lays out plans to achieve those goals. This thesis presents a Sprint Planning dEcision Support System (SPESS) which is a tool to assist the managers for Sprint planning. Among considering other Sprint planning factors, SPESS takes into consideration developer competency, developer seniority and task dependency. The results are that the assignments of the tasks of each Sprint to developers guarantee that each team member contributes to their fullest potential, and project planning is optimized for the shortest possible time. Keywords—Scrum, Sprint planning, planning poker, competence, task dependence, Hungarian algorithm, Essence.
Show less - Date Issued
- 2018
- PURL
- http://purl.flvc.org/fau/fd/FA00005970
- Subject Headings
- Scrum (Computer software development), Project management, Agile software development
- Format
- Document (PDF)
- Title
- INTEGRATING DESIGN THINKING MODEL AND ITEMS PRIORITIZATION DECISION SUPPORT SYSTEMS INTO REQUIREMENTS MANAGEMENT IN SCRUM.
- Creator
- Alhazmi, Alhejab Shawqi, Huang, Shihong, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
The Agile methodologies have attracted the software development industry's attention due to their capability to overcome the limitations of the traditional software development approaches and to cope with increasing complexity in system development. Scrum is one of the Agile software development processes broadly adopted by industry. Scrum promotes frequent customer involvement and incremental short releases. Despite its popular use, Scrum’s requirements engineering stage is inadequately...
Show moreThe Agile methodologies have attracted the software development industry's attention due to their capability to overcome the limitations of the traditional software development approaches and to cope with increasing complexity in system development. Scrum is one of the Agile software development processes broadly adopted by industry. Scrum promotes frequent customer involvement and incremental short releases. Despite its popular use, Scrum’s requirements engineering stage is inadequately defined which can lead to increase development time and cost, along with low quality or failure for the end products. This research shows the importance of activity planning of requirements engineering in improving the product quality, cost, and scheduling as well as it points out some drawbacks of Agile practices and available solutions. To improve the Scrum requirements engineering by overcoming its challenges in cases, such as providing a comprehensive understanding of the customer’s needs and addressing the effects of the challenges in other cases, such as frequent changes of requirements, the Design Thinking model is integrated into the Scrum framework in the context of requirements engineering management. The use of the Design Thinking model, in the context of requirements engineering management, is validated through an in-depth scientific study of the IBM Design Thinking framework. In addition, this research presents an Items Prioritization dEcision Support System (IPESS) which is a tool to assist the Product Owners for requirements prioritization. IPESS is built on information collected in the Design Thinking model. The IPESS tool adopts Analytic Hierarchy Process (AHP) technique and PageRank algorithm to deal with the specified factors and to achieve the optimal order for requirements items based on the prioritization score. IPESS is a flexible and comprehensive tool that focuses on different important aspects including customer satisfaction and product quality. The IPESS tool is validated through an experiment that was conducted in a real-world project
Show less - Date Issued
- 2021
- PURL
- http://purl.flvc.org/fau/fd/FA00013699
- Subject Headings
- Scrum (Computer software development), Computer software--Development--Management, Software engineering
- Format
- Document (PDF)
- Title
- A PROBABILISTIC CHECKING MODEL FOR EFFECTIVE EXPLAINABILITY BASED ON PERSONALITY TRAITS.
- Creator
- Alharbi, Mohammed N., Huang, Shihong, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
It is becoming increasingly important for an autonomous system to be able to explain its actions to humans in order to improve trust and enhance human-machine collaboration. However, providing the most appropriate kind of explanations – in terms of length, format, and presentation mode of explanations at the proper time – is critical to enhancing their effectiveness. Explanation entails costs, such as the time it takes to explain and for humans to comprehend and respond. Therefore, the actual...
Show moreIt is becoming increasingly important for an autonomous system to be able to explain its actions to humans in order to improve trust and enhance human-machine collaboration. However, providing the most appropriate kind of explanations – in terms of length, format, and presentation mode of explanations at the proper time – is critical to enhancing their effectiveness. Explanation entails costs, such as the time it takes to explain and for humans to comprehend and respond. Therefore, the actual improvement in human-system tasks from explanations (if any) is not always obvious, particularly given various forms of uncertainty in knowledge about humans. In this research, we propose an approach to address this issue. The key idea is to provide a structured framework that allows a system to model and reason about human personality traits as critical elements to guide proper explanation in human and system collaboration. In particular, we focus on the two concerns of modality and amount of explanation in order to optimize the explanation experience and improve overall system-human utility. Our models are based on probabilistic modeling and analysis (PRISM-games) to determine at run time what the most effective explanation under uncertainty is. To demonstrate our approach, we introduce a self-adaptative system called Grid – a virtual game – and the Stock Prediction Engine (SPE), which allows an automated system and a human to collaborate on the game and stock investments. Our evaluation of these exemplars, through simulation, demonstrates that a human subject’s performance and overall human-system utility is improved when considering the psychology of human personality traits in providing explanations.
Show less - Date Issued
- 2022
- PURL
- http://purl.flvc.org/fau/fd/FA00013894
- Subject Headings
- Human-computer interaction, Probabilistic modelling, Human-machine systems, Affective Computing
- Format
- Document (PDF)
- Title
- Visualization of Impact Analysis on Configuration Management Data for Software Process Improvement.
- Creator
- Lo, Christopher Hoi-Yin, Huang, Shihong, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
The software development process is an incremental and iterative activity. Source code is constantly altered to reflect changing requirements, to respond to testing results, and to address problem reports. Proper software measurement that derives meaningful numeric values for some attributes of a software product or process can help in identifying problem areas and development bottlenecks. Impact analysis is the evaluation of the risks associated with change requests or problem reports,...
Show moreThe software development process is an incremental and iterative activity. Source code is constantly altered to reflect changing requirements, to respond to testing results, and to address problem reports. Proper software measurement that derives meaningful numeric values for some attributes of a software product or process can help in identifying problem areas and development bottlenecks. Impact analysis is the evaluation of the risks associated with change requests or problem reports, including estimates of effects on resources, effort, and schedule. This thesis presents a methodology called VITA for applying software analysis techniques to configuration management repository data with the aim of identifying the impact on file changes due to change requests and problem reports. The repository data can be analyzed and visualized in a semi-automated manner according to user-selectable criteria. The approach is illustrated with a model problem concerning software process improvement of an embedded software system in the context of performing high-quality software maintenance.
Show less - Date Issued
- 2007
- PURL
- http://purl.flvc.org/fau/fd/FA00012535
- Subject Headings
- Software mesurement, Software engineering--Quality control, Data mining--Quality control
- Format
- Document (PDF)
- Title
- INCORPORATING EMOTION RECOGNITION IN CO-ADAPTIVE SYSTEMS.
- Creator
- Al-Omair, Osamah M., Huang, Shihong, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
The collaboration between human and computer systems has grown astronomically over the past few years. The ability of software systems adapting to human's input is critical in the symbiosis of human-system co-adaptation, where human and software-based systems work together in a close partnership to achieve synergetic goals. However, it is not always clear what kinds of human’s input should be considered to enhance the effectiveness of human and system co-adaptation. To address this issue,...
Show moreThe collaboration between human and computer systems has grown astronomically over the past few years. The ability of software systems adapting to human's input is critical in the symbiosis of human-system co-adaptation, where human and software-based systems work together in a close partnership to achieve synergetic goals. However, it is not always clear what kinds of human’s input should be considered to enhance the effectiveness of human and system co-adaptation. To address this issue, this research describes an approach that focuses on incorporating human emotion to improve human-computer co-adaption. The key idea is to provide a formal framework that incorporates human emotions as a foundation for explainability into co-adaptive systems, especially, how software systems recognize human emotions and adapt the system’s behaviors accordingly. Detecting and recognizing optimum human emotion is a first step towards human and computer symbiosis. As the first step of this research, we conduct a comparative review for a number of technologies and methods for emotion recognition. Specifically, testing the detection accuracy of facial expression recognition of different cloud-services, algorithms, and methods. Secondly, we study the application of emotion recognition within the areas of e-learning, robotics, and explainable artificial intelligence (XAI). We propose a formal framework that incorporates human emotions into an adaptive e-learning system, to create a more personalized learning experience for higher quality of learning outcomes. In addition, we propose a framework for a co-adaptive Emotional Support Robot. This human-centric framework adopts a reinforced learning approach where the system assesses its own emotional re-actions.
Show less - Date Issued
- 2022
- PURL
- http://purl.flvc.org/fau/fd/FA00013926
- Subject Headings
- Emotion recognition, Human-computer interaction, Affective Computing
- Format
- Document (PDF)
