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With the advances in Natural Language Processing (NLP), the industry has been moving towards human-directed artificial intelligence (AI) solutions. Recently, chatbots and automated news generation have captured a lot of attention. The goal is to ...

Learning response generation models constitute the main component of building open-domain dialogue systems. However, training open-domain response generation models requires large amounts of labeled data and pre-trained language generation models that are ...

Detection rates of non-compliant activity in Australian provider medical claims are below international benchmarks, and new methods are required. Since the Department of Health requires interpretability and incorporation of expert feedback as key ...

Learning management systems provide a wide breadth of data waiting to be analyzed and utilized to enhance student and faculty experience in higher education. As universities struggle to support students’ engagement, success and retention, learning ...

Numerous studies have successfully adopted learning analytics techniques such as machine learning (ML) to address educational issues. However, limited research has addressed the problem of algorithmic bias in ML. In the few attempts to develop ...

Mathematical discussions have become a popular educational strategy to promote math literacy. While some studies have associated math literacy with linguistic factors such as verbal ability and phonological skills, no studies have examined the ...

Dependency on electricity is currently at an all-time high with power distribution being a key element. Currently, the maintenance and monitoring methodologies especially in Pakistan revolve around taking on-field samples (DGA) which is overall ...

Persons with Dementia face the issue of a deteriorating memory. As assistive robots are being increasingly adapted as a helper to persons with dementia, this paper presents an additional feature to such robots. Assistive robots that might assist with ...

Citizens and policy institutions increasingly express their concerns regarding the emerging challenges in the context of Artificial Intelligence (AI) and have concrete demands for the protection of human rights. In parallel, studies in the field of AI ...

As robots become increasingly prevalent in our communities, aligning the values motivating their behavior with human values is critical. However, it is often difficult or impossible for humans, both expert and non-expert, to enumerate values ...

Human skeleton-based gesture classification plays a dominant role in social robotics. Learning the variety of human skeleton-based gestures can help the robot to continuously interact in an appropriate manner in a natural human-robot interaction (HRI). ...

Theory of mind (ToM) corresponds to the human ability to infer other people's desires, beliefs, and intentions. Acquisition of ToM skills is crucial to obtain a natural interaction between robots and humans. A core component of ToM is the ability to ...

With the rise in the number of robots in our daily lives, human-robot encounters will become more frequent. To improve human-robot interaction (HRI), people will require explanations of robots' actions, especially if they do something unexpected. Our ...

Many assistive home robotics applications assume open-loop interactions: robots incorporate little feedback from people while autonomously completing tasks. This places undue burden on people to condition their actions and environment to maximize the ...

The prolificacy of human-robot interaction not only depends on a robot's ability to understand the intent and content of the human utterance but also gets impacted by the automatic speech recognition (ASR) system. Modern ASR can provide highly accurate (...

In this paper, we describe ongoing work to develop a robust and natural turn-taking behavior for a social agent to engage a dynamically changing group in a conversation. We specifically focus on discussing likely interaction scenarios for a social robot ...

Lane changes of autonomous vehicles (AV) should not only succeed in making the maneuver but also provide a positive interaction experience for other drivers. As lane changes involve complex interactions, identification of a set of behaviors for ...

This paper describes a user experience comparison study to explore whether a user's 'cultural background' affects their interaction with in-home pet robots designed for health purposes, e.g. socially-assistive robots (SARs). 11 Koreans and 10 Americans ...

Social robots should deal with uncertainties in unseen environments and situations in an interactive setting. For humans, question-answering is one of the most typical activities for resolving or reducing uncertainty by acquiring additional information, ...

Robots could support older adults' well-being by engaging them in meaningful conversations, specifically to reflect on, support, and improve different aspects of their well-being. We implemented a system on a QT social robot to conduct short autonomous ...