VIRTUAL DIGITAL ASSISTANT WITH VOICE INTERFACE SUPPORT

A virtual digital assistant which can work with arbitrary systems and provide an effective solution of narrowly focused user tasks for interaction with Ukrainian services voice inter-face supported has been proposed. The developed web service was implemented by using the PHP programming language, Wit.ai service for audio signal processing, FANN library for neural network construction, Telegram service for creating an interface.

ABOUT ENSURING INFORMATION SECURITY BASED ON THE USE OF ARTIFICIAL INTELLIGENCE

В статье представлены подходы к решению проблем обеспечения информационной безопасности на основе использования искусственного интеллекта с позиций возможности реализации на практике вариантов воплощения программной и аппаратной частей потенциального функционала искусственного интеллекта в данной сфере. В статье рассмотрены вопросы обучения и интерфейса искусственного интеллекта с внешней средой. Обсуждается создание навыков голосового интерфейса для искусственного интеллекта. Представлен анализ категории «Искусственный интеллект» и приведена последовательность «подготовительных» действий, необходимых для практической реализации каких-либо управленческих функций человека, независимо от сферы применения, на основе искусственного интеллекта. The article presents approaches to solving the problems of ensuring information security based on the use of artificial intelligence from the standpoint of the possibility of realizing in practice the options for implementing the software and hardware parts of the potential functionality of artificial intelligence in this area. The article discusses the issues of training and the interface of artificial intelligence with the external environment. The creation of voice interface skills for artificial intelligence is discussed. An analysis of the category "Artificial Intelligence" is presented and a sequence of "preparatory" actions necessary for the practical implementation of any managerial functions of a person, regardless of the scope of application, based on artificial intelligence is presented.

Voice Interface Technology Adoption by Patients With Heart Failure: Pilot Comparison Study (Preprint)

BACKGROUND Heart failure (HF) is associated with high mortality rates and high costs, and self-care is crucial in the management of the condition. Telehealth can promote patients’ self-care while providing frequent feedback to their health care providers about the patient’s compliance and symptoms. A number of technologies have been considered in the literature to facilitate telehealth in patients with HF. An important factor in the adoption of these technologies is their ease of use. Conversational agent technologies using a voice interface can be a good option because they use speech recognition to communicate with patients. OBJECTIVE The aim of this paper is to study the engagement of patients with HF with voice interface technology. In particular, we investigate which patient characteristics are linked to increased technology use. METHODS We used data from two separate HF patient groups that used different telehealth technologies over a 90-day period. Each group used a different type of voice interface; however, the scripts followed by the two technologies were identical. One technology was based on Amazon’s Alexa (Alexa+), and in the other technology, patients used a tablet to interact with a visually animated and voice-enabled avatar (Avatar). Patient engagement was measured as the number of days on which the patients used the technology during the study period. We used multiple linear regression to model engagement with the technology based on patients’ demographic and clinical characteristics and past technology use. RESULTS In both populations, the patients were predominantly male and Black, had an average age of 55 years, and had HF for an average of 7 years. The only patient characteristic that was statistically different (<i>P</i>=.008) between the two populations was the number of medications they took to manage HF, with a mean of 8.7 (SD 4.0) for Alexa+ and 5.8 (SD 3.4) for Avatar patients. The regression model on the combined population shows that older patients used the technology more frequently (an additional 1.19 days of use for each additional year of age; <i>P</i>=.004). The number of medications to manage HF was negatively associated with use (−5.49; <i>P</i>=.005), and Black patients used the technology less frequently than other patients with similar characteristics (−15.96; <i>P</i>=.08). CONCLUSIONS Older patients’ higher engagement with telehealth is consistent with findings from previous studies, confirming the acceptability of technology in this subset of patients with HF. However, we also found that a higher number of HF medications, which may be correlated with a higher disease burden, is negatively associated with telehealth use. Finally, the lower engagement of Black patients highlights the need for further study to identify the reasons behind this lower engagement, including the possible role of social determinants of health, and potentially create technologies that are better tailored for this population. CLINICALTRIAL

Emotional Wellbeing Assessment for Elderly Using Multi-Language Robot Interface

There is always necessity prevailing for the exposed platforms under the vigilance of experts, incorporated with the capability of developing and gathering enquiries followed up by the analysis and remedial measures based on the long duration laborious medical follow-up. So the work carried out in the paper initiates to cultivate a robotic interface with the multi-language capability to assist in monitoring and assessing the emotional health of the elderly people by extending conversations. For this purpose the proposed method utilizes the voice interface to put forward, enquires from the experts and the robotic interface developed converses automatically to the clients with the supervisions of the experts to course the replies. The proposed system would be compatible in any room as it is carried out on an embedded platform designed for the edge computing. The advantage of the system was understood by subjecting it to the answer files in the audio form and validating it in the terms of the recognition scores, and the percentage of estimation accuracy.

Edge Computing Robot Interface for Automatic Elderly Mental Health Care Based on Voice

We need open platforms driven by specialists, in which queries can be created and collected for long periods and the diagnosis made based on a rigorous clinical follow-up. In this work, we developed a multi-language robot interface helping to evaluate the mental health of seniors by interacting through questions. Through the voice interface, the specialist can propose questions, as well as receive users’ answers, in text form. The robot can automatically interact with the user using the appropriate language. It can process the answers and under the guidance of a specialist, questions and answers can be oriented towards the desired therapy direction. The prototype was implemented on an embedded device meant for edge computing, thus it was able to filter environmental noise and can be placed anywhere at home. The proposed platform allows the integration of well-known open source and commercial data flow processing frameworks. The experience is now available for specialists to create queries and answers through a Web-based interface.