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Full-Text Articles in Business
What You See Is Not What You Know: Studying Deception In Deepfake Video Manipulation, Cathryn Allen, Bryson R. Payne, Tamirat Abegaz, Chuck Robertson
What You See Is Not What You Know: Studying Deception In Deepfake Video Manipulation, Cathryn Allen, Bryson R. Payne, Tamirat Abegaz, Chuck Robertson
Journal of Cybersecurity Education, Research and Practice
Research indicates that deceitful videos tend to spread rapidly online and influence people’s opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat. This study aims to discover what factors can influence viewers’ capability to distinguish deepfake videos from genuine video footage. This work focuses on exploring deepfake videos’ potential use for deception and misinformation by exploring people’s ability to determine whether videos are deepfakes in a survey consisting of deepfake videos and original unedited videos. The participants viewed a set of four videos and were asked to judge whether the videos shown …
Machine-Learning-Based Vulnerability Detection And Classification In Internet Of Things Device Security, Sarah Bin Hulayyil, Shancang Li, Li Da Xu
Machine-Learning-Based Vulnerability Detection And Classification In Internet Of Things Device Security, Sarah Bin Hulayyil, Shancang Li, Li Da Xu
Information Technology & Decision Sciences Faculty Publications
Detecting cyber security vulnerabilities in the Internet of Things (IoT) devices before they are exploited is increasingly challenging and is one of the key technologies to protect IoT devices from cyber attacks. This work conducts a comprehensive survey to investigate the methods and tools used in vulnerability detection in IoT environments utilizing machine learning techniques on various datasets, i.e., IoT23. During this study, the common potential vulnerabilities of IoT architectures are analyzed on each layer and the machine learning workflow is described for detecting IoT vulnerabilities. A vulnerability detection and mitigation framework was proposed for machine learning-based vulnerability detection in …
Enhancing Innovation Via The Digital Twin, Nobuyuki Fukawa, Aric Rindfleisch
Enhancing Innovation Via The Digital Twin, Nobuyuki Fukawa, Aric Rindfleisch
Business and Information Technology Faculty Research & Creative Works
A Growing Number of Firms Are Seeking to Leverage Emerging Technologies, Such as Artificial Intelligence (AI) and 3D Printing, to Enhance their Innovation Efforts. These Seemingly Distinct Technologies Are Currently Coalescing into an Encompassing New Technology Called the Digital Twin. This Technology Allows Innovative Firms to Create a Digital Replica of a Physical Entity that Evolves over its Life Cycle. This Article Explores the Implications of the Digital Twin for Innovation Theory and Practice. First, We Examine the Connection between the Digital Twin and Three Related Technologies (I.e., 3D Printing, Big Data, and AI). Second, We Create a Typology of …
Integrated Dynamic Airline Route And Schedule Optimization, Bayan Begaliyeva
Integrated Dynamic Airline Route And Schedule Optimization, Bayan Begaliyeva
Student Works
By harnessing real-time and historical data in conjunction with advanced AI technologies, this project revolutionizes route and schedule planning, leading to enhanced efficiency, cost reduction, and an improved passenger experience.
Speculative Futures On Chatgpt And Generative Artificial Intelligence (Ai): A Collective Reflection From The Educational Landscape, Aras Bozkurt, Junhong Xiao, Sarah Lambert, Angelica Pazurek, Helen Crompton, Suzan Koseoglu, Robert Farrow, Melissa Bond, Chrissi Nerantzi, Sarah Honeychurch, Maha Bali, Jon Dron, Kamran Mir, Bonnie Stewart, Eamon Costello, Jon Mason, Christian M. Stracke, Enilda Romero-Hall, Apostolos Koutropoulos, Cathy Mae Toquero, Lenandlar Singh, Ahmed Tlili, Kyungmee Lee, Mark Nichols, Ebba Ossiannilsson, Mark Brown, Valerie Irvine, Juliana Elisa Raffaghelli, Gema Santos-Hermosa, Orna Farrell, Taskeen Adam, Ying Li Thong, Sunagul Sani-Bozkurt, Ramesh C. Sharma, Stefan Hrastinski, Petar Jandrić
Speculative Futures On Chatgpt And Generative Artificial Intelligence (Ai): A Collective Reflection From The Educational Landscape, Aras Bozkurt, Junhong Xiao, Sarah Lambert, Angelica Pazurek, Helen Crompton, Suzan Koseoglu, Robert Farrow, Melissa Bond, Chrissi Nerantzi, Sarah Honeychurch, Maha Bali, Jon Dron, Kamran Mir, Bonnie Stewart, Eamon Costello, Jon Mason, Christian M. Stracke, Enilda Romero-Hall, Apostolos Koutropoulos, Cathy Mae Toquero, Lenandlar Singh, Ahmed Tlili, Kyungmee Lee, Mark Nichols, Ebba Ossiannilsson, Mark Brown, Valerie Irvine, Juliana Elisa Raffaghelli, Gema Santos-Hermosa, Orna Farrell, Taskeen Adam, Ying Li Thong, Sunagul Sani-Bozkurt, Ramesh C. Sharma, Stefan Hrastinski, Petar Jandrić
Teaching & Learning Faculty Publications
While ChatGPT has recently become very popular, AI has a long history and philosophy. This paper intends to explore the promises and pitfalls of the Generative Pre-trained Transformer (GPT) AI and potentially future technologies by adopting a speculative methodology. Speculative future narratives with a specific focus on educational contexts are provided in an attempt to identify emerging themes and discuss their implications for education in the 21st century. Affordances of (using) AI in Education (AIEd) and possible adverse effects are identified and discussed which emerge from the narratives. It is argued that now is the best of times to define …
Behind The Definition Of Industry 5.0: A Systematic Review Of Technologies, Principles, Components, And Values, Morteza Ghobakhloo, Mohammad Iranmanesh, Ming-Lang Tseng, Andrius Grybauskas, Alessandro Stefanini, Azlan Amran
Behind The Definition Of Industry 5.0: A Systematic Review Of Technologies, Principles, Components, And Values, Morteza Ghobakhloo, Mohammad Iranmanesh, Ming-Lang Tseng, Andrius Grybauskas, Alessandro Stefanini, Azlan Amran
Research outputs 2022 to 2026
This study addresses the emerging concept of Industry 5.0, which aims to tackle societal concerns associated with the ongoing digital industrial transformation. However, there is still a lack of consensus on the definition and scope of Industry 5.0, as well as limited understanding of its technological components, design principles, and intended values. To bridge these knowledge gaps, the study conducts a content-centric review of relevant literature and synthesizes evidence to develop an architectural design for Industry 5.0. The findings reveal that Industry 5.0 represents the future of industrial transformation, offering potential solutions to socio-economic and environmental issues that were inadequately …
Relationship Quality In Customer-Service Robot Interactions In Industry 5.0: An Analysis Of Value Recipes, Sanjit K. Roy, Gaganpreet Singh, Richard L. Gruner, Bidit L. Dey, Saadia Shabnam, Syed S. Muhammad, Mohammed Quaddus
Relationship Quality In Customer-Service Robot Interactions In Industry 5.0: An Analysis Of Value Recipes, Sanjit K. Roy, Gaganpreet Singh, Richard L. Gruner, Bidit L. Dey, Saadia Shabnam, Syed S. Muhammad, Mohammed Quaddus
Research outputs 2022 to 2026
The paper studies the interactions between customers and robots within the framework of Industry 5.0-driven services. Prior studies have explored several factors contributing to the quality of these interactions, with perceived value being a crucial aspect. This study uses value recipes, which refer to specific configurations of how different benefits and costs are weighed up/evaluated, as a theoretical framework to investigate the quality of relationships between customers and service robots. The study aims to shed light on the complex interplay between different value dimensions that shape customers' relationships with robots. To achieve this goal, the authors analyze what value configurations …