Physical Sciences and Mathematics Commons^™

A Voice Interactive Multilingual Student Support System Using Ibm Watson, Kennedy Ralston, Yuhao Chen, Haruna Isah, Farhana Zulkernine

Publications and Scholarship

Systems powered by artificial intelligence are being developed to be more user-friendly by communicating with users in a progressively human-like conversational way. Chatbots, also known as dialogue systems, interactive conversational agents, or virtual agents are an example of such systems used in a wide variety of applications ranging from customer support in the business domain to companionship in the healthcare sector. It is becoming increasingly important to develop chatbots that can best respond to the personalized needs of their users so that they can be as helpful to the user as possible in a real human way. This paper investigates …

Serious Game Human-Computer Interaction Design For Rehabilitation Training, Jiajia Wu, Liu Zhen, Huihuang Xu, Tingting Liu, Wang Jin, Yanjie Chai

Journal of System Simulation

Abstract: Constructing a human-computer interaction environment which can effectively enhance users’ experiences of serious game. By integrating the rehabilitation training process into an interactive game story, users can do their mental and body rehabilitation training in the community. The prototype of the game is realized by the game engine. Experimental results showed that using mouse to roam in the system is easier than other interaction method and the somatosensory interaction is convenient for exercising the limb. By designing emoji for virtual characters, it is easy for users to learn other people's emotions and the comfortable distances for others. The results …

Designing A General Education Course On The Societal Impacts Of Artificial Intelligence, Vincent Rollins

Honors Theses

Most colleges, including UTC, already offer an artificial intelligence course (CPSC 4440) as part of their computer science curricula. Such courses are meant to explain the technology behind these elaborate systems, but these courses often neglect extensive coverage of the real-world impacts of the technology itself. UTC also offers a course entitled “Ethical and Social Issues in Computing” that does convey the importance behind the advances of computer technology and its impacts, but this course is practically available only to computer science majors. There is no generalized and widely available course that covers the technological, economic, cultural, philosophical/theological, and ethical …

Facilitating Natural Conversational Agent Interactions: Lessons From A Deception Experiment, Ryan M. Schuetzler, Mark Grimes, Justin Scott Giboney, Joesph Buckman

Ryan Schuetzler

This study reports the results of a laboratory experiment exploring interactions between humans and a conversational agent. Using the ChatScript language, we created a chat bot that asked participants to describe a series of images. The two objectives of this study were (1) to analyze the impact of dynamic responses on participants’ perceptions of the conversational agent, and (2) to explore behavioral changes in interactions with the chat bot (i.e. response latency and pauses) when participants engaged in deception. We discovered that a chat bot that provides adaptive responses based on the participant’s input dramatically increases the perceived humanness and …

Interactive Modelling On Smooth Weighted Distance Surface In Hmd Vr Environment, Xiaoqiang Zhu, Hongyi Pan, Xu Hao, Song Lei, Mengyao Zhu, Xiangyang Wang

Journal of System Simulation

Abstract: An interactive modelling scheme in immersive VR environment is proposed, in which the point, line and polygon skeletons are inputted by handles of HMD (Head-Mounted Device). Weighted distance field is calculated in parallel with CUDA on GPU according to the varying radii, and then the iso-surface is extracted using paralleled marching cubes. In order to avoid the non-smoothness at interactions between different distance surface components, weighted filtering kernels are utilized to smooth the skeleton-based distance field with various radii in our modelling system, so that smooth blending model is produced from multi-component distance fields. In our system, …

Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen

Journal of System Simulation

Abstract: Human body motion simulation refers to real time rendering of human body and its motion in a computer. It is a computational model to simulate the natural and physical movement of human body under given constraints. Rendering a good human body movement can improve people's sense of immersion and substitution when watching. It is an inevitable premise of interaction between the viewer and the system. Based on the above theory, under the premise of using the rendering engine to ensure the quality of human motion rendering, it is further proposed to use the speech recognition engine to identify the …

Domain Process Model Overcome Limitations Of Engineering Models For Developing Artificial Intelligent Systems, Gary O. Langford, John Green, Daniel P. Burns, Alexander Keller, Dean C. Schmidt

Engineering and Technology Management Faculty Publications and Presentations

The integrated set of prognostic domains (ISPD) of technology presented here provides a normative means to construct a wholly new process model for guiding Technology Management of Artificial Intelligent Systems (AIS). Seventeen domains represent all-inclusive stakeholder perspectives that encapsulate lifecycle analyses, evaluations, feasibilities, and tradeoffs with the domain contexts. Following Systems Model-Based thinking (SMBT), a postulated focal point interaction is the entry condition from which each domain is considered and thereafter traversed. Domains are interactive with each other through concurrent, iterative, recursive, and non-recursive processes. This interactive work continues until the completion milestones of each domain are satisfied. Techniques such …

The Changing Moral Mirror Of Society: From Human To Artifical Intelligent Systems, Gary Langford, Teresa Langford

Engineering and Technology Management Faculty Publications and Presentations

Management of technology and its development carry along the responsibility and consequences for interactions between Human and Artificial Intelligent Systems (AIS). In spite of all good intentions, the effects and repercussions of conflicts between Human and the systems built with intent to assist Human may be proceeding along the path that will recognize a dismal mistake in judgment. Dreadful and intolerable impositions on Human behavior may arise regardless of how AIS is designed. That is not to say progress should cease, but rather to make the case that intensely determined efforts need to delve into the uses and implications of …

Contextualizing Sexual Assault Data Collection On College Campuses: A Socio-Technical Approach, Anushikha Sharma

Honors Theses

Sexual assault is a rampant issue on college campuses in the United States. Colleges and universities use a variety of survey instruments to collect data regarding sexual assault as a means to improve campus culture, policies, and resources. These instruments contain a wealth of associated information in the form of metadata, that is, data about data.

This project takes a human-centered socio-technical approach to understanding the data collection processes associated with sexual assault, specifically, on the campus of Bucknell University. By identifying the underlying metadata within the data collection processes, this research contextualizes and critiques the process of data collection, …

Transfer Learning Approach To Multiclass Classification Of Child Facial Expressions, Megan A. Witherow, Manar D. Samad, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

The classification of facial expression has been extensively studied using adult facial images which are not appropriate ground truths for classifying facial expressions in children. The state-of-the-art deep learning approaches have been successful in the classification of facial expressions in adults. A deep learning model may be better able to learn the subtle but important features underlying child facial expressions and improve upon the performance of traditional machine learning and feature extraction methods. However, unlike adult data, only a limited number of ground truth images exist for training and validating models for child facial expression classification and there is a …