Reviewerly/exHarmony huggingface dataset:
Using Experience-Based Participatory Approach to Design Interactive Voice User Interfaces for Delivering Physical Activity Programs with Older Adults

Voice User Interfaces (VUIs) are popular among older adults, who find them easy to use and perceive them as social companions. However, there is a lack of research on voice-based applications to support physical activities for older adults. To address this gap, we present "Workout Pal," a voice agent designed to deliver physical activities to older adults. We conducted a mixed-methods study involving ten older adults to understand their perceptions and design priorities when interacting with Workout Pal. Questionnaires and semi-structured interviews were used to assess their experience, while experience-based co-design sessions facilitated collaboration in exploring the design space and identifying design requirements. Our findings highlight the feasibility and design preferences for smart speaker-based physical activity programs. The study contributes by sharing the design and development of Workout Pal, illustrating a novel co-design approach with older adults, and providing design implications tailored to the specific needs of older adults. The design guidelines emphasize the importance of sociability, voice design, and individualization. This research supports the development of elder-friendly VUIs helping older adults live independently and engage in physical activities.
CAD TECHNOLOGIES IN TECHNOLOGICAL AND PROFESSIONAL EDUCATION

The article is devoted to the use of CAD in the lessons of technology in the institution of general secondary and vocational education. Today's labor and professional training takes place within the framework of the design and technological activities of high school students during the study of the subject "Technology" in ZZSO and students of schools when mastering special disciplines in RFP (PT) O using automated design systems. The task of the teacher (teacher) at the same time is to form elements of the project-technological culture of the individual, develop the student's ability to generate creative ideas, introspection, the ability to make decisions independently, formulate and explain their thoughts and positions, interact and conduct dialogue with classmates, etc. A theoretical analysis of the work of scientists on the formation of design and technological competencies in the lessons of technology. It is the combination of theoretical knowledge and skills of project activity that forms the student's project-technological competence, which is realized through the implementation of creative projects that can be performed using a computer. The use of programs by students to automate certain design processes makes it possible to diversify the forms of presentation of educational information, types of educational tasks; creation of educational environments that will ensure their "immersion" in the world of 3D modeling, allows you to visit real production situations, activates thinking and spatial imagination, enhances motivation for self-education. The factors of introduction of modern CAD in the educational activity of high school students, including the competence of the teacher of labor training and technology and the availability of computer equipment with appropriate software. When using CAD, the role of the teacher changes, which acquires the functions of the organizer of the design-creative and cognitive activity of students. The functions of automated design systems in the educational activities of students are also defined, in particular, educational, information, career guidance, technological. The possibilities of CAD in the process of technological preparation are described. The use of CAD in technology lessons will increase the interest of students and the formation of design and technological skills for future professional activities.
Towards Intelligent Companion Systems in General Aviation using Hierarchical Plan and Goal Recognition

Modern ultralight aircraft in general aviation are equipped with an onboard Pilot Assistance System (PAS) as a companion system, meant to guide the pilot in decision-making, e.g. with plan suggestions, especially in critical situations. For more meaningful guidance, the PAS must possess a continuous understanding of the context, i.e. the pilot’s intention, so that decision-making support is relevant. However, in realistic settings, the pilot’s intention is not communicated manually, but can only be proactively monitored by the PAS. This paper explores the possibility of embedding domain expertise using Hierarchical Task Network (HTN) planning to track the pilot’s intention, by recognising the pilot’s current goal task judging from the pilot’s actions. Furthermore, by leveraging probability theory for state estimation, we derive belief values to be associated with the recognised goal task, inferred from already executed actions which are in turn inferred from in-cockpit observable measurement data. Statistical evaluation using data collected from human-in-the-loop tests shows that our method for tracking the pilot’s intention is reliable enough to provide the PAS with a contextual understanding in real time.
The Impact of the Order of Vicarious and Self Experiences in a VR Environment on Self-Efficacy

In systems where agents teach skills to users in environments such as VR or digital applications, the efficiency of skill improvement is crucial. For designing such skill-teaching and assistive systems, this study focuses on applying Bandura’s concept of self-efficacy. Demonstrations and assistance by the agent are considered vicarious experiences, which is a crucial component for improving self-efficacy. This study investigates and analyzes the impact of vicarious experiences on self-efficacy, specifically examining the sequence of vicarious and self experiences and the resulting differences in performance. We developed a virtual reality (VR) juggling experiment to investigate how altering the sequence of vicarious and self experiences impacts self-efficacy. The results showed that the group for which the performance was tested after the vicarious experience showed reduced self-efficacy. This suggests that the sequence in which vicarious experiences are presented can impact self-efficacy. Because Bandura’s theory did not specify the order of experiences, our findings would contribute to considering lesson designs and how assistive agents must behave to enhance users’ self-efficacy.
Leveraging Large Language Models for Goal-driven Interactive Recommendations

We present a proof of concept application for interactive recommendations and explanations leveraging the capabilities of Large Language Models (LLMs). The application creates a highly interactive user-driven setting for recommendations giving users the possibility to explicitly tailor recommendations to their needs. Using the possibilities brought by LLMs, the application further generates convincing explanations of recommendations, aligned with the explicitly stated goals of the users. The web application continuously improves by incorporating user feedback and updating recommendations and explanations as needed.
Multimodal Voice Activity Prediction: Turn-taking Events Detection in Expert-Novice Conversation

Predicting the timing of utterances in dyadic conversations is essential for achieving natural interactions between humans and virtual agents. Since the former often use non-verbal cues to adjust the order of their speech, this study proposes a multimodal model incorporating non-verbal features using a Transformer-based voice activity prediction model. First, in line with previous research, we reproduced a baseline model that utilized audio features (audio waveform, voice activity frame, and voice activity history) as inputs. To this baseline model, we added non-verbal features: gaze direction, action units, head pose, and articular points. We compared our multimodal model with the baseline model to investigate the impact of non-verbal cues on voice activity prediction. We utilized a dyadic expert-novice conversation dataset and evaluated the average outcomes across ten model trainings. Results revealed that our proposed models with all the features improved the accuracy of the next speaker prediction by 2.3% and back-channeled prediction by 1.8% (p-value < 0.025). In particular, action units may contribute significantly to the turn-shift and back-channeled predictions. This study demonstrates that including non-verbal features in Transformer-based turn-taking models enhances the efficacy of models for predicting voice activity in dyadic conversations.
Onboarding Stages and Scrutable Interaction: How Experts Envisioned Explainability in Proactive Time Management Assistants

Intelligent Personal Assistants (IPAs) have become increasingly ubiquitous, yet they remain primarily reactive, non-personalised, and inscrutable. Moreover, concerns regarding user control, data stewardship, and communication design persist in the literature. Aiming to shape an appropriate human-assistant interaction framework, we organised a multidisciplinary expert discussion focusing on proactive IPAs for time management – a bounded yet complex domain that may catalyse identifying and tackling paradigmatic challenges. We invited the experts to propose, debate, and chart interaction scenarios, desired characteristics and constraints, and user modelling for proactive IPAs. This paper presents the thematic analysis of the discussion and the resulting interaction diagram. The ability of the user to scrutinise the assistant’s models that underpin personalisation and to receive adequate explanations were identified to be of paramount significance. Moreover, a proposed onboarding and control mechanism that may help align the user’s perception of the system and the system’s actual capabilities is discussed.
Towards Explainable Recommender Systems for Illiterate Users

Explainable AI (XAI) has emerged in recent years as a set of techniques to build systems that enable humans to understand the outcomes produced by artificial intelligent entities. Although these initiatives have advanced over the past few years, most approaches focus on explanations that are meant for literate or even skilled end users such as engineers, researchers etc. Few works available in the literature address the needs of illiterate end-users in XAI (illiterate centered design). This paper proposes a generic model to extract the contents of explanations from a given explainable AI system, and translate them into a representation format that illiterate end users may understand. The usefulness of the model is shown by reference to an application of a food recommender system.
A Structured Prompting based on Belief-Desire-Intention Model for Proactive and Explainable Task Planning

We investigate the potential of the belief-desire-intention (BDI) model for enhancing proactive action planning and transparency in large language models (LLMs). Our proposed method, BDIPrompting, integrates the knowledge representation framework of the BDI model into prompt design. This allows agents to generate motivational and goal-directed service plans proactively while offering human users insights into the rationale behind the decision-making process. Through preliminary experiments with OpenAI’s GPT-4, we highlight the effectiveness of our approach in planning motivational actions and providing improved explanations during human-agent interactions.
Enhancing Explanaibility in AI: Food Recommender System Use Case

As automated decision-making systems proliferate, accountability becomes crucial. Developers must ensure adherence to regulations and fairness. Explainable AI offers a remedy by crafting algorithms that provide precise outcomes and understandable explanations. This paper focuses on food recommender system interpretability for better health. Integrating explainable AI empowers users to make informed dietary decisions. The proposed framework generates natural language explanations for recommendations using the prompting technique, demonstrating superior performance and broad applicability across domains.
TECHNOLOGY «MATRIX INTEGRATION OF SELF-CONTROL AND SELF-ASSESSMENT (MISS)»: A PRACTICAL ASPECT OF IMPLEMENTATION DURING THE STUDY OF AN EDUCATIONAL DISCIPLINE

The article examines self-control and self-assessment as phenomena that are relevant for modern times, given their multifunctionality, implementation in the process of learning, professional activity, and everyday life. The significant interest of scientists in revealing the essence of these phenomena, highlighting the peculiarities of their formation and practical application served as a prerequisite for the author of the article to identify the expediency of their integration. As well as the establishment of semantic variability inherent in phenomena, which is conveyed by identical terms-contexts (process, formed ability, mental personal formation). The technology "Matrix integration of self-control and self-evaluation (MISS)" is based on the combination of self-evaluation and self-control as complementary processes; contributes to the formation and development of the integral ability underlying these processes, as well as to the improvement of the personality substructure, which ensures the effectiveness of these and other processes. A basic table was developed for the practical implementation of the "MISS" technology. When filling it out, the information provided in the training plan for higher education applicants according to the educational and professional program, according to which the students are studying, is used. Information recorded in the work program of the educational discipline, during the teaching of which it is planned to use this technology, is also used. A table with filled-in information about the types of classes, their number, types of activities, evaluation of each type of activity, the maximum number of points per semester is provided to the student for further self-monitoring and self-evaluation. At the beginning of studies in an academic discipline, students conditionally receive the maximum number of points that can be obtained per semester during the study of an academic discipline. The MISS technology provides that, depending on the student's learning results, he keeps all the points for himself (in the case of effective learning) or returns unused points (in the case of ineffective learning), or shows a desire to improve his results and returns the unused points back, i.e. to himself. The practical aspect of implementing the "MISS" technology has been experimentally verified in the process of teaching various educational disciplines. Data on the significant potential for systematic involvement of education seekers in self-monitoring and self-assessment are also summarized.
CONTINUITY OF PRACTICAL TRAINING OF FUTURE TEACHERS OF BIOLOGY AND BASICS OF HEALTH

The article substantiates the importance of practical training of future teachers of biology and the basics of health in institutions of general secondary education. The issue of ensuring the principle of continuity between educational and industrial practices, which directs the planned development of practical skills and the formation of general and professional competencies of higher education students, is highlighted. A holistic analysis of the organizational aspects of practical training of students of the first (bachelor's) level of the educational program "Secondary Education (Biology and Human Health)" was carried out. The value of educational practice in botany and zoology is determined. Its purpose, tasks and features of the organization in a remote format are characterized. The goals, content and types of work performed by interns during educational and production pedagogical practices are named. The importance of educational pedagogical practice, aimed at familiarizing students with the practical experience of teachers-mentors, class teachers, forms, methods and means of teaching biology and the basics of health, has been clarified. Highlighted features of second-year practice by students who do not have pedagogical and methodical knowledge. To reveal the peculiarities of the organization of practice in the conditions of distance learning. The importance of industrial pedagogical practice in the system of methodical training of future teachers is substantiated. A list of mandatory types of work has been determined: conducting lessons in biology and the basics of health, a biology project, training on the basics of health, extracurricular educational work, psychological and pedagogical tasks. The need for interns to conduct non-standard lessons, to involve their experience in mastering various innovative methods, elements of STEM-education, digital applications and services was emphasized. Attention is focused on the peculiarities of the organization of educational and cognitive activities of students in online lessons of biology and the basics of health in synchronous and asynchronous formats. The role of teachers-mentors in the development of programs and the implementation of pedagogical practice tasks, summarizing the results of students' work is revealed. The mutual influence on the development of professionalism among practice managers from the university and the institution of general secondary education was noted.
An Analysis of The Current State of Crypto currency Regulation and Its Impact on The Adoption of Crypto currencies in Different Region

Cryptocurrency is a latest and large innovation within the financial industry. The purpose is to offer a currency that isn't always tied, created, or subsidized by way of a government. Cryptocurrency uses Blockchain technology as the economic platform. Cryptocurrency adoption degree has multiplied, and the marketplace has grown dramatically. The intention of this paper is to fill the gap inside the cutting-edge literature by way of investigating the modern cryptocurrency adaptation stage, adoption-influencing factors, supplying an In depth analysis of these factors and discussing some pitfalls surrounding the cryptocurrency exchange sites’ users. In addition, the paper shows that the principle factors driving the adoption choice revealed from the literature evaluate are the investment possibility cryptocurrency paperwork, the anonymity of the transactions and privateness, the popularity through companies as a payment approach, the quick transfer of finances, the low price of transactions, and technological curiosity. The research findings help research, regulators, and cryptocurrency developers to better apprehend their consumer’s aim toward cryptocurrency adoption.
Evolution of Blockchain Technology in the Financial Sector: An Empirical Analysis

This study investigated the impact of blockchain technology in the financial sector. 20 countries from the Sub SaharanAfrica for a time periodfrom 2011 to 2021 was used. The study employed component analysis to represent the financial development variable, and a Generalized Method of Moments (GMM) was used to evaluate the link between the dependent and independent variables, including blockchain technology and macroeconomic variables. The findings indicatedthat blockchain technology has positive and significant relationship with the financial development. This indicates that the existence of blockchain innovation promotes financial growth. The findings also specified that macroeconomic factors such as lagged financial development, GDP, GDP per capita, FDI, trade openness and Rule of Law have significant and positive relationship with financial development. The institutional variable, government effectiveness has an insignificant relationship.
Mobile learning frameworks and pedagogy: A systematic review

Abstract This article provides a systematic review of mobile learning frameworks that address issues of pedagogy published between 2011 and 2022. The objective of the review was to gain a clear picture of recent developments in mobile learning frameworks to provide an understanding of current directions in mobile learning pedagogy. Eighteen peer‐reviewed journal articles that presented new mobile learning pedagogical frameworks were examined and evaluated based on the characteristics of each framework. The two main areas of analysis were the pedagogical approaches integrated into the frameworks and their definitions of mobile learning. We conclude that mobile learning frameworks have become more diverse over time, in many cases tending to focus on specific aspects of mobile learning rather than attempting to address overarching concepts. With respect to pedagogies and their underlying theories of learning, social constructivism, heutagogy, collaborative learning, experiential learning, inquiry‐based learning, and student‐centred learning were mentioned most frequently. However, although many frameworks make reference to pedagogy, there is limited analysis of how mobile learning pedagogy might be defined as distinct from other contexts of learning. The key characteristics of mobile learning, consistent through most of the reviewed frameworks, comprise the portability of mobile devices across multiple contexts, connectivity, and accessibility, as well as learner‐centredness (including personalisation and self‐regulation). One key aspect of identifying the uniqueness and future potential of mobile learning is the special affordances addressed by mobile learning theory. We conclude that this is an area where further research is required.
A Comparative Analysis of Cryptocurrency Legal Frameworks in the United States and the European Union

Cryptocurrencies have changed the way the world's finances work. They are challenging standard financial systems and bringing up a lot of legal and regulatory issues. The legal systems that govern cryptocurrencies in the United States and the European Union are compared in this study paper. The first part of the study looks at how cryptocurrencies have changed over time, showing how important they are becoming in the digital market. It then looks at the legal and regulatory problems that have come up in the bitcoin space. It also looks at the legal systems that are already in place in the US and the EU. In the US, the study looks at both federal rules and the part that each state plays in making bitcoin policies. A number of important court decisions involving cryptocurrencies are looked at to give some background. In the European Union, the study looks at both EU-wide rules and the different ways that different member states handle things. Important court cases in the EU are also looked at to get a sense of the governing environment in the area. Comparative research is the most important part of this study because it shows how the US and the EU regulate cryptocurrencies and what their main similarities and differences are. We look closely at how these differences in regulation affect the cryptocurrency industry, the compliance problems companies in both regions face, and new regulatory trends. In the US and the EU, cryptocurrency laws are changing all the time. This study shows how these laws work and what they mean for lawmakers, businesses, and researchers. This study shows how important it is for countries to agree on how to regulate cryptocurrencies so that the ecosystem can grow safely and continue to grow.