Results of radiology imaging studies are not typically comprehensible to patients. With the advances in artificial intelligence (AI) technology recent years, it is expected that AI can aid patients’ understanding data. The aim this study understand perceptions and acceptance using interpret their reports. We conducted semi-structured interviews with 13 participants elicit reflections pertaining use report interpretation. A thematic analysis approach was employed analyze interview...

Much research has focused on advancing techniques for explainable artificial intelligence (XAI) to improve the utility of AI recommendations. However, metacognitive processes involved in interacting with explanations have not been fully explored. In this study, we examine effects human decisions from perspective cognitive mechanisms that evaluate correctness To accomplish this, conducted a large-scale, between-subject experiment (N=4,302) Amazon Mechanical Turk, during which each participant...

We present a novel benchmarking methodology for evaluating offline Large Language Models (LLMs) in resource-constrained mobile robotics applications. Using an Nvidia Jetson Nano platform with 4GB RAM limitation, we demonstrate the feasibility of deploying tuned ChatGPT4All robotic control tasks. The model, trained on 22,000+ ICRA proceedings papers, achieves 82% similarity to ChatGPT responses while maintaining sub-second inference time. Our evaluation framework combines TF-IDF scoring and...

Abstract With the recent advances in Artificial Intelligence (AI) technology, patient‐facing applications have started embodying this novel technology to deliver timely healthcare information and services patient. However, little is known about lay individuals' perceptions acceptance of AI‐driven, health systems. In study, we conducted a survey with 203 participants investigate their using AI consult related diagnostic results what factors influence perceptions. Our showed that despite...

This paper examines the key issues associated with current and future implementations of business intelligence (BI). The authors review literature discover both growing importance emerging BI. are further examined an exploratory, but detailed, case study organizations from a variety industries, yielding series lessons learned. find that rapidly moving to enterprise perspective on BI, in unsystematic way. present prescription for BI called “enterprise intelligence” (EI). EI is described...

Internet robots, also known as bots, have transformed the businesses and society with convenience. However, dynamics of these interactions could be under adversarial circumstances detrimental effects on network security. Bots that use domain-generation algorithms (DGAs) can generate many random domains dynamically so static domain blacklists become ineffective in preventing malicious attacks by botnets. Various families recent botnets used DGA to establish communication bots. Researchers...

Abstract DESIGN AND DEVELOPMENT OF INTERACTIVE SIMULATIONS TO SUPPORT AN ENGINEERING TECHNOLOGY COURSEOnline courses prove to be a convenient and effective way of learning. The flexibility timeand the location independency online solve many scheduling problems makeeducation available more students who wouldn’t have chance otherwise. Hence,colleges universities adopt distance-learning every year. Albeit theadvantages, educators still need make sure quality education is not affected by...

e-mail scams have been around for a long time, and they are still remarkably successful. Understanding these can help combat fraud by raising public awareness improving anti-fraud technologies. We conducted an in-depth analysis of contents with mixed-method approach using machine-learning-based content qualitative analysis. identified five stories (i.e., topics) scammers used in their e-mails. Further, we explored similarities between messages from the same scammers. Our findings suggest...

Sometimes we search for simple facts. Other times relationships between concepts. While existing information retrieval systems work well searches, they are less satisfying complex inquiries because of the ill-structured nature many searches and cognitive load involved in process. Search can be improved by leveraging network concepts that maintained collaborative knowledge bases such as Wikipedia. By treating exploratory inquires networks -- then mapping documents to these concepts,...

Topic models are used to classify documents, and they do so by designating sets of keywords that describe ideas, leaving interpretation these humans. In this paper, we create variants topic in which documents classified the Wikipedia page match best; way generate human-understandable names – titles. We tested our method on a dataset ACM abstracts had been manually into topics papers' authors. Our results often matched authors' classifications. Moreover, identified clearer than LDA modeling...

Ability to engage in lifelong learning requires the individuals possess self-directed skills. ABET student outcome 3.i states that upon graduation a should be able demonstrate “a recognition of need for, and an ability learning”. The challenge is instilling these skills students traditional environments. In effort overcome this challenge, educators developed implemented various approaches; one being flipped classroom approach. One when conducting research for environment classrooms finding...

Learning is shifting from synchronous in-class settings to asynchronous online platforms in an attempt make education accessible wider audience. However, certain vital components of engineering education, such as laboratory work and hands-on practices, are harder conduct online. Understanding how technology can help offering impact the quality a great deal. The goal this study improve effectiveness courses engineering. Particularly, we aim transform some practices that fundamental for into...

Abstract CAN WE MAKE STUDENTS LIFELONG LEARNERS THROUGH SOCIAL NETWORKS?Technological advances continually improve the efficiency and effectiveness of highereducation. These technological can be divided into two groups: first group istechnology dedicated to education (ex. Smart boards, online campuses, blackboards); thesecond involves technologies that are more generic but applicable educationalpurposes (email, bookstores etc.). The advantage targeted is they arecustom fit solutions problems...

While many consumers rely heavily on online reviews during their purchases, it is unrealistic to expect a consumer read every review and make an informed decision. Many systems provide summary views in the form of overall sentiment scores or rating distributions (e.g., Amazon, Alibaba etc.). such high-level that summarize opinions many, they also individual understand nature sentiment. In way, product details, summaries network information users explore purchase decisions. This work studies...

These keynotes discuss the following: Big Data, Internet of Things, cybersecurity, stream analytics & knowledge discovery; SDN/NFV open networking ecosystem; Data mining: tools and practices; Network coding -applications basics.