Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 50 for “"Affective Computing"”.
-
Adversarial uses of affective computing and ethical implications
Much existing affective computing research focuses on systems designed to use information related to emotion to benefit users. Many technologies are used in situations their designers didn't anticipate and would not have intended. This thesis discusses several adversarial uses of affective …
-
An Analysis of Grey Theory for Personal Affective Computing
Affective computing, the study of artificial intelligence for computing with mood and emotion, has been rapidly growing since its inception in the late 1990s, however model-based affective computing remains limited. This thesis proposes grey theory, in particular grey systems analysis, as a …
-
Affective computing and crowdsourcing : subjective labels and sequential effects
… examples are in the same order; likely due to affective priming. To model these effects, matrix factorization is found to be effective in improving aggregation of dialog evaluation ratings (low-annotator agreement) while the Dawid-Skene model [1] improves label aggregation for both dialog and …
-
Using Music and Emotion to Enable Effective Affective Computing
The computing devices with which we interact daily continue to become ever smaller, intelligent, and pervasive. Not only are they becoming more intelligent, but some are developing awareness of a user's affective state. Affective computing—computing that in some way senses, expresses, or modifies …
-
A Mixed Emotions Framework And Its Applications In Affective Computing
Traditionally, computer vision has categorized displayed emotions into seven basic categories.: sadness, happiness, anger, fear, disgust, surprise, and neutral. This approach is restrictive because human emotions do not always fall neatly into these seven categories but often cross categorical …
-
Medship: Affective Computing for Building Empathetic Behaviors Toward Patients with Substance Use Disorders
… of away from it. This thesis both identifies the affective features and expressions most attributed to positive clinical perception, from the perspective of actual patients with SUDs, and introduces Medship, a web-application-based tool embedded with affective computing models to provide real-time …
-
Content-based Image Understanding with Applications to Affective Computing and Person Recognition in Natural Settings
… for image understanding with applications to affective computing, and person detection and recognition. Our proposed method applied to fashion photo analysis can understand the aesthetic quality of photos. Further, a bilinear model that takes into account the relative confidence of region …
-
Using affective computing to enhance the believability of virtual agents and the social interaction with users
… humans has fuelled extensive research efforts in affective computing, the field dedicated to developing systems that recognize and adapt to human emotions. Despite advancements in recent decades, the field continues to face challenges related to (1) responding accurately to human emotions and …
-
Behavioral Design for Emotional Intelligence: Leveraging Affective Computing in Medical Education for Improved Care for Substance Use Disorders
… Stigma can also be expressed through one's affective states, where facial expressions may unintentionally convey negative emotions or judgments. To address this issue, this thesis aims to introduce medical trainees to Medship, an affective computing tool that promotes self-reflection about …
-
Software support for experience sampling
… sense and gather the users’ emotional responses. Affective computing research has used predictive modeling to determine user emotional states, but studies are usually performed in controlled laboratory settings and lack realism. Field studies can be conducted to improve realism, but there are a …
-
Affective analysis of text in tweets
Affective computing is the study and development of devices that can recognize emotions through various modes such as video, audio and text automatically. In this thesis, I focus on the problem of affective computing in short texts, in particular, tweets. With the evolution of social media in the …
-
Hyperaudience : designing performance systems for audience inclusion
… so, it embraces concepts found in ubiquitous computing, affective computing, interactive arts, music, theatrical tradition, and pervasive gaming. In addition, five new systems are demonstrated to develop a framework for thinking about audience participation and orchestrating social co-presence …
-
Cardiac Signals: Remote Measurement and Applications
… application of cardiac signals in biometrics and affective computing, and noninvasive measurement of cardiac signals. We have mainly discussed two major cardiac signals: electrocardiogram (ECG), and photoplethysmogram (PPG). ECG and PPG signals hold strong potential for biometric authentications …
-
Active one-shot learning for personalized human affect estimation
… yet been examined in the context of personalized affective computing. This study presents a novel active one-shot learning model for personalized estimation of human affect, in particular, detection of pain from facial expressions. The model demonstrates the ability to learn an active learner that …
-
Artificial Emotional Intelligence in Socially Assistive Robots
… AEI is part of a larger field of studies called Affective Computing. Affective computing is the integration of artificial intelligence, psychology, robotics, biometrics, and many more fields of study. The main component in AEI and affective computing is emotion, and how we can utilize emotion to …
-
Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality
… recognition has long been a popular topic in affective computing since it significantly enhances the performance compared with that of a single modality. Among all, the combination of electroencephalography (EEG) and eye movement signals is one of the most attractive practices due to their …
-
Determining Correlation Between Video Stimulus and Electrodermal Activity
… capable of measuring physiological signals, affective computing is becoming more popular than before that gradually will remove our cognitive approach. One of the physiological signals is the electrodermal activities (EDA) signal. We explore how video stimulus that might arouse fear affect …
-
Detecting and Modelling Stress Levels in E-Learning Environment Users
… should be sentient of a learner's cognitive and affective states, as a learner’s performance could be affected by motivational and emotional factors. It is important to design a method that supports low-cost, task-independent and unobtrusive sensing of a learner’s cognitive and affective states, …
-
Three essays on online word-of-mouth and user behavior in online environments
… the literature on online WOM by integrating affective computing, causal modeling, and drawing on psychological theories. They provide both theoretical and practical insights into how emotional and cognitive responses to content shape user behavior in online environments.
-
Affective social quest (ASQ) : teaching emotion recognition with interactive media & wireless expressive toys
In this thesis, I investigate new ways to use affective computing and multimedia tools to augment a child's learning of emotional expression. I develop the hypothesis that these tools can be particularly useful to children with autism and their practitioners. I test the hypothesis by building a …
Page 1 of 3