Computer Engineering Commons^™

Understanding The Role Of Interactivity And Explanation In Adaptive Experiences, Lijie Guo

All Dissertations

Adaptive experiences have been an active area of research in the past few decades, accompanied by advances in technology such as machine learning and artificial intelligence. Whether the currently ongoing research on adaptive experiences has focused on personalization algorithms, explainability, user engagement, or privacy and security, there is growing interest and resources in developing and improving these research focuses. Even though the research on adaptive experiences has been dynamic and rapidly evolving, achieving a high level of user engagement in adaptive experiences remains a challenge. %????? This dissertation aims to uncover ways to engage users in adaptive experiences by incorporating …

Classification Of Arabic Social Media Texts Based On A Deep Learning Multi-Tasks Model, Ali A. Jalil, Ahmed H. Aliwy

Al-Bahir Journal for Engineering and Pure Sciences

The proliferation of social networking sites and their user base has led to an exponential increase in the amount of data generated on a daily basis. Textual content is one type of data that is commonly found on these platforms, and it has been shown to have a significant impact on decision-making processes at the individual, group, and national levels. One of the most important and largest part of this data are the texts that express human intentions, feelings and condition. Understanding these texts is one of the biggest challenges that facing data analysis. It is the backbone for understanding …

Principe Of Behavior Computing On Emotional Game, Guofeng Zhang, Wang Niu, Xiong Hu

Journal of System Simulation

Abstract: Emotions is analyzed by mathematical statistics as an influence factor on behavior interaction in the current behavioral game researches. On the face of the status quo, premising emotion rationality that is the alternative to results rationality, a fresh emotional game computing principle was proposed by building emotion behavior schemata function. The suggested thought was applied to a modified ultimatum game computing, an emotional equilibrium outcome was obtained, and the psychological mechanism of the brave behavior was revealed. Meanwhile, the basic principle of pattern recognition to behavior selection mode was established. According to the constraint conditions of …

E-Learner's Emotion Regulation Model With Undirected Gaussian Graphical Model, Jiwei Qin, Turgun· Ibragim, Huiguo Zhang

Journal of System Simulation

Abstract: Based on the absence of emotion in the background, e-Learner's emotion regulation model with simple variable can't fit the sparse and complex data in e-Learning, an e-Learner's emotion regulation model was proposed by Undirected Gaussian Graphical Model, which emphasized on many kinds of factor influences in emotion regulation. Correlation analysis, statistics, Gaussian undirected graph model fit the data to understand the relationship between data variables by using Chow-Liu algorithm, which searched for the smallest BIC forests and built e-learner's emotion regulation model based on the e-Learner's log. This model gives a basis for emotion regulation in e-Learning.

Analysis Of Human Affect And Bug Patterns To Improve Software Quality And Security, Md Rakibul Islam

University of New Orleans Theses and Dissertations

The impact of software is ever increasing as more and more systems are being software operated. Despite the usefulness of software, many instances software failures have been causing tremendous losses in lives and dollars. Software failures take place because of bugs (i.e., faults) in the software systems. These bugs cause the program to malfunction or crash and expose security vulnerabilities exploitable by malicious hackers.

Studies confirm that software defects and vulnerabilities appear in source code largely due to the human mistakes and errors of the developers. Human performance is impacted by the underlying development process and human affects, such as …

Emotional Awareness During Bug Fixes – A Pilot Study, Jada O. Loro, Abigail L. Schneff, Sarah J. Oran, Bonita Sharif

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

This study examines the effects of a programmer's emotional awareness on progress while fixing bugs. The goal of the study is to capitalize on emotional awareness to ultimately increase progress made during software development. This process could result in improved software maintenance.

Determining Tone Of A Body Of Text, Cole G. Hollant

Senior Projects Spring 2020

We will be looking into emotion detection and manipulation within a body of text based off of Robert Plutchik’s basic emotions. This project encompasses building probabilistic and lexical models, full-stack web development, and dataset creation and application. We will build our models off of Latent Dirichlet Allocation—a grouping model common in natural language processing (nlp) and lexicons compiled through crowdsourcing. User testing is undergone as a means of measuring the effectiveness of our models. We discuss the application of concepts and technologies including MongoDB, REST APIs, containerization, IaaS, and web frontends.

Emotion Forecasting In Dyadic Conversation : Characterizing And Predicting Future Emotion With Audio-Visual Information Using Deep Learning, Sadat Shahriar

Legacy Theses & Dissertations (2009 - 2024)

Emotion forecasting is the task of predicting the future emotion of a speaker, i.e., the emotion label of the future speaking turn–based on the speaker’s past and current audio-visual cues. Emotion forecasting systems require new problem formulations that differ from traditional emotion recognition systems. In this thesis, we first explore two types of forecasting windows(i.e., analysis windows for which the speaker’s emotion is being forecasted): utterance forecasting and time forecasting. Utterance forecasting is based on speaking turns and forecasts what the speaker’s emotion will be after one, two, or three speaking turns. Time forecasting forecasts what the speaker’s emotion will …

Inducing Emotional Response In Interactive Media, Keenan M. Reimer

Master's Theses

Video games, and entertainment media have been developed for many years, and eliciting emotional experiences is an integral part of that process. Producing and editing game content in order to affect desired emotional experiences can be expensive and cumbersome to developers. This paper presents a study intended to show that such experiences can be affected with simple after-the-fact audio-visual effects. As subjects of the study, participants experience three different emotional states, fear, peace, and none, over three rounds and in three different game environments. They are given a simple narrative in each environment that directs them to gather various objects. …

“My Logic Is Undeniable”: Replicating The Brain For Ideal Artificial Intelligence, Samuel C. Adams

Senior Honors Theses

Alan Turing asked if machines can think, but intelligence is more than logic and reason. I ask if a machine can feel pain or joy, have visions and dreams, or paint a masterpiece. The human brain sets the bar high, and despite our progress, artificial intelligence has a long way to go. Studying neurology from a software engineer’s perspective reveals numerous uncanny similarities between the functionality of the brain and that of a computer. If the brain is a biological computer, then it is the embodiment of artificial intelligence beyond anything we have yet achieved, and its architecture is advanced …

A Distinct Approach For Human Face Emotion Detection Using Pca-Bfo Method, Innovative Research Publications Irp India, Banupriya. N, Pushpalatha. M

Innovative Research Publications IRP India

Research on emotion has increased significantly over the past two decades with many fields contributing includingpsychology,neuroscience,endocrinology,medicine, hi story, sociology, and even computer science. The numerous theories that attempt to explain the origin, neurobiology, experience, and function of emotions have only fostered more intense research on this topic. Current areas of research in the concept of emotion include the development of materials that stimulate and elicit emotion. Recent discoveries suggest that emotions are intricately linked to other functions such as attention, perception, memory, decision making, and learning. In the field of Human Computer Interaction, audio and visual information are considered to …

Judging Emotion From Low-Pass Filtered Naturalistic Emotional Speech, John Snel, Charlie Cullen

Conference papers

In speech, low frequency regions play a significant role in paralinguistic communication such as the conveyance of emotion or mood. The extent to which lower frequencies signify or contribute to affective speech is still an area for investigation. To investigate paralinguistic cues, and remove interference from linguistic cues, researchers can low-pass filter the speech signal on the assumption that certain acoustic cues characterizing affect are still discernible. Low-pass filtering is a practical technique to investigate paralinguistic phenomena, and is used here to investigate the inference of naturalistic emotional speech. This paper investigates how listeners perceive the level of Activation, and …

Generation Of High Quality Audio Natural Emotional Speech Corpus Using Task Based Mood Induction, Charlie Cullen, Brian Vaughan, Spyros Kousidis, Yi Wang, Ciaran Mcdonnell, Dermot Campbell

Conference papers

Detecting emotional dimensions [1] in speech is an area of great research interest, notably as a means of improving human computer interaction in areas such as speech synthesis [2]. In this paper, a method of obtaining high quality emotional audio speech assets is proposed. The methods of obtaining emotional content are subject to considerable debate, with distinctions between acted [3] and natural [4] speech being made based on the grounds of authenticity. Mood Induction Procedures (MIP’s) [5] are often employed to stimulate emotional dimensions in a controlled environment. This paper details experimental procedures based around MIP 4, using performance related …