Journal articles: 'Virtual Assistants'

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Karande, Pramod, Shubham Borchate, Bhavesh Chaudhary, and Prof Deveshree Wankhede. "Virtual Desktop Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 1916–20. http://dx.doi.org/10.22214/ijraset.2022.41024.

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Abstract: Voice Assistants are becoming immensely popular feature that has changed the way user interact with devices. Voice assistants are used in many devices like mobile phones, laptops. These voice assistants are based on Artificial-Intelligence and Natural Language Processing. They take human voices as input and give output in integrated voices. This voice assistant takes voice through microphone, we have used libraries like pyttsx3 to convert text-to-speech. Keywords: Voice Assistant, python, pyttsx3, Artificial Intelligence, Speech Recognition

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Malamas, Nikolaos, Konstantinos Papangelou, and Andreas L. Symeonidis. "Upon Improving the Performance of Localized Healthcare Virtual Assistants." Healthcare 10, no. 1 (January 4, 2022): 99. http://dx.doi.org/10.3390/healthcare10010099.

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Virtual assistants are becoming popular in a variety of domains, responsible for automating repetitive tasks or allowing users to seamlessly access useful information. With the advances in Machine Learning and Natural Language Processing, there has been an increasing interest in applying such assistants in new areas and with new capabilities. In particular, their application in e-healthcare is becoming attractive and is driven by the need to access medically-related knowledge, as well as providing first-level assistance in an efficient manner. In such types of virtual assistants, localization is of utmost importance, since the general population (especially the aging population) is not familiar with the needed “healthcare vocabulary” to communicate facts properly; and state-of-practice proves relatively poor in performance when it comes to specialized virtual assistants for less frequently spoken languages. In this context, we present a Greek ML-based virtual assistant specifically designed to address some commonly occurring tasks in the healthcare domain, such as doctor’s appointments or distress (panic situations) management. We build on top of an existing open-source framework, discuss the necessary modifications needed to address the language-specific characteristics and evaluate various combinations of word embeddings and machine learning models to enhance the assistant’s behaviour. Results show that we are able to build an efficient Greek-speaking virtual assistant to support e-healthcare, while the NLP pipeline proposed can be applied in other (less frequently spoken) languages, without loss of generality.

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Faiz, Zeeshan, Vedika Srivastava, and Suchitra Khoje. "Virtual Voice Assistant for Smart Devices." ECS Transactions 107, no. 1 (April 24, 2022): 4315–26. http://dx.doi.org/10.1149/10701.4315ecst.

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Digital assistants have been a budding technology lately. In modern society, chatbots have found their way in many sectors of e-commerce. With widespread advancements in the field of artificial intelligence, developing machines to ease real life tasks is the norm of the day. Voice Assistants have gained a lot of popularity in this era of home automation and smart devices. These personal assistants, voice or text, can be easily programmed to perform many tasks by simply commanding them to. High tech industries like, Google have publicized voice-based search that is, especially, a bonanza for many like senior citizens who are not comfortable using the keypad/keyboard or English language as these assistants offer support in other languages like Hindi too. Any voice-based assistant works on two pivotal functions namely - listening to(detecting) commands and responding to the given commands given by user. Along with these two base functions, we need customized directive that will define the functionality of the voice assistant.

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Giachos, Ioannis, Evangelos C. Papakitsos, Petros Savvidis, and Nikolaos Laskaris. "Inquiring Natural Language Processing Capabilities on Robotic Systems through Virtual Assistants: A Systemic Approach." Journal of Computer Science Research 5, no. 2 (April 18, 2023): 28–36. http://dx.doi.org/10.30564/jcsr.v5i2.5537.

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This paper attempts to approach the interface of a robot from the perspective of virtual assistants. Virtual assistants can also be characterized as the mind of a robot, since they manage communication and action with the rest of the world they exist in. Therefore, virtual assistants can also be described as the brain of a robot and they include a Natural Language Processing (NLP) module for conducting communication in their human-robot interface. This work is focused on inquiring and enhancing the capabilities of this module. The problem is that nothing much is revealed about the nature of the human-robot interface of commercial virtual assistants. Therefore, any new attempt of developing such a capability has to start from scratch. Accordingly, to include corresponding capabilities to a developing NLP system of a virtual assistant, a method of systemic semantic modelling is proposed and applied. For this purpose, the paper briefly reviews the evolution of virtual assistants from the first assistant, in the form of a game, to the latest assistant that has significantly elevated their standards. Then there is a reference to the evolution of their services and their continued offerings, as well as future expectations. The paper presents their structure and the technologies used, according to the data provided by the development companies to the public, while an attempt is made to classify virtual assistants, based on their characteristics and capabilities. Consequently, a robotic NLP interface is being developed, based on the communicative power of a proposed systemic conceptual model that may enhance the NLP capabilities of virtual assistants, being tested through a small natural language dictionary in Greek.

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Manojkumar, Patil Kavita, Aditi Patil, Sakshi Shinde, Shaktiprasad Patra, and Saloni Patil. "AI-Based Virtual Assistant Using Python: A Systematic Review." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (March 31, 2023): 814–18. http://dx.doi.org/10.22214/ijraset.2023.49519.

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Abstract: A software agent that will carry out tasks or provide services in response to a user's privately supported instructions or inquiries is known as an intelligent virtual assistant (IVA) or intelligent personal assistant (IPA). A virtual assistant capable of being accessed via web chat is sometimes called a "chatbot." Online chat systems can occasionally only be used for amusement. Some virtual assistants are equipped to comprehend spoken language and answer with synthetic voices. Users can use voice commands to manage other basic chores like email, to-do lists, and calendars in addition to asking their assistants questions, controlling home automation devices, and controlling media playing. One of the best applications of artificial intelligence is the virtual personal assistant (VPA), which offers a new way for people to delegate tasks to machines. To create a Virtual Personal Assistant (VPA) and use it in various software applications, certain approaches and principles are used. To enable users to communicate with virtual assistants, speech recognition systems—also known as Automatic Speech Recognition, or ASR—play a crucial role.

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Roca, Surya, María Luisa Lozano, José García, and Álvaro Alesanco. "Validation of a Virtual Assistant for Improving Medication Adherence in Patients with Comorbid Type 2 Diabetes Mellitus and Depressive Disorder." International Journal of Environmental Research and Public Health 18, no. 22 (November 17, 2021): 12056. http://dx.doi.org/10.3390/ijerph182212056.

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Virtual assistants are programs that interact with users through text or voice messages simulating a human-based conversation. The development of healthcare virtual assistants that use messaging platforms is rapidly increasing. Still, there is a lack of validation of these assistants. In particular, this work aimed to validate the effectiveness of a healthcare virtual assistant, integrated within messaging platforms, with the aim of improving medication adherence in patients with comorbid type 2 diabetes mellitus and depressive disorder. For this purpose, a nine-month pilot study was designed and subsequently conducted. The virtual assistant reminds patients about their medication and provides healthcare professionals with the ability to monitor their patients. We analyzed the medication possession ratio (MPR), measured the level of glycosylated hemoglobin (HbA1c), and obtained the patient health questionnaire (PHQ-9) score in the patients before and after the study. We also conducted interviews with all participants. A total of thirteen patients and five nurses used and evaluated the proposed virtual assistant using the messaging platform Signal. Results showed that on average, the medication adherence improved. In the final interview, 69% of the patients agreed with the idea of continuing to use the virtual assistant after the study.

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Curtis, Rachel G., Bethany Bartel, Ty Ferguson, Henry T. Blake, Celine Northcott, Rosa Virgara, and Carol A. Maher. "Improving User Experience of Virtual Health Assistants: Scoping Review." Journal of Medical Internet Research 23, no. 12 (December 21, 2021): e31737. http://dx.doi.org/10.2196/31737.

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Background Virtual assistants can be used to deliver innovative health programs that provide appealing, personalized, and convenient health advice and support at scale and low cost. Design characteristics that influence the look and feel of the virtual assistant, such as visual appearance or language features, may significantly influence users’ experience and engagement with the assistant. Objective This scoping review aims to provide an overview of the experimental research examining how design characteristics of virtual health assistants affect user experience, summarize research findings of experimental research examining how design characteristics of virtual health assistants affect user experience, and provide recommendations for the design of virtual health assistants if sufficient evidence exists. Methods We searched 5 electronic databases (Web of Science, MEDLINE, Embase, PsycINFO, and ACM Digital Library) to identify the studies that used an experimental design to compare the effects of design characteristics between 2 or more versions of an interactive virtual health assistant on user experience among adults. Data were synthesized descriptively. Health domains, design characteristics, and outcomes were categorized, and descriptive statistics were used to summarize the body of research. Results for each study were categorized as positive, negative, or no effect, and a matrix of the design characteristics and outcome categories was constructed to summarize the findings. Results The database searches identified 6879 articles after the removal of duplicates. We included 48 articles representing 45 unique studies in the review. The most common health domains were mental health and physical activity. Studies most commonly examined design characteristics in the categories of visual design or conversational style and relational behavior and assessed outcomes in the categories of personality, satisfaction, relationship, or use intention. Over half of the design characteristics were examined by only 1 study. Results suggest that empathy and relational behavior and self-disclosure are related to more positive user experience. Results also suggest that if a human-like avatar is used, realistic rendering and medical attire may potentially be related to more positive user experience; however, more research is needed to confirm this. Conclusions There is a growing body of scientific evidence examining the impact of virtual health assistants’ design characteristics on user experience. Taken together, data suggest that the look and feel of a virtual health assistant does affect user experience. Virtual health assistants that show empathy, display nonverbal relational behaviors, and disclose personal information about themselves achieve better user experience. At present, the evidence base is broad, and the studies are typically small in scale and highly heterogeneous. Further research, particularly using longitudinal research designs with repeated user interactions, is needed to inform the optimal design of virtual health assistants.

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N.R, Impana, and Prof G. R. Manjula. "VOICE AND TEXT BASED VIRTUAL PERSONAL ASSISTANT FOR DESKTOP." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (May 1, 2022): 192–96. http://dx.doi.org/10.33564/ijeast.2022.v07i01.030.

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A virtual personal assistant (VPA) is a computer application that simulates human-to-machine communication through the Internet. Virtual personal assistants mimic and process human interactions, allowing users to converse as if they were speaking with real people. The goal of the project is to use facial recognition to offer security for a virtual personal assistant. Users have the option of communicating via voice or text. The virtual personal assistant will be able to tell the time, tell jokes, take screenshots, take photos using the webcam, search Wikipedia, open calendar, open applications, Google search, play music, perform mathematical calculations, volume control, send emails, and much more, and it will be very user-friendly. Virtual assistants will play a vital role in reducing human effort and also time spent on any given task.

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Álvarez Reyes, Julio César. "Design of intuitive user interfaces for virtual assistants in university education." Journal of Scientific and Technological Research Industrial 4, no. 1 (May 3, 2023): 17–20. http://dx.doi.org/10.47422/jstri.v4i1.34.

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Designing an intuitive user interface for virtual assistants in higher education presents several challenges, chief among them being natural language understanding, virtual assistant customization, user-centered design, integration with existing technology, and consideration of the educational context. The success of virtual assistants in higher education depends on the ability of designers and developers to understand the needs and preferences of users and their ability to design intuitive and effective user interfaces that enhance the learning and teaching experience. To address the challenges in designing intuitive user interfaces for virtual assistants, various methods can be used, such as creating a natural language-based user interface, including visual elements, and designing a custom user interface. and adaptable.

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Supriya Jadhav et al. "Multipurpose Virtual Assistant Using Machine Learning." Proceeding International Conference on Science and Engineering 11, no. 1 (February 18, 2023): 291–96. http://dx.doi.org/10.52783/cienceng.v11i1.126.

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— Virtual assistant is a software agent who will perform a different task or work for personally supported Questions or commands called a Virtual Assistant with the intelligence of a human. In some phenomena, virtual assistants can interpret human speech, and sign language responds via synthesized voices and moves to convert voice to text. Clients can interrogate with their virtual assistants to control home automation devices manage their tasks like email, to-do lists, and media playback, check weather updates interact with help of sign language with verbal command and response. Several research papers regarding multipurpose virtual assistant were reviewed and an appropriate solution to address this problem was concluded. You Only Look Once Natural Language Processing and Convolutional Neural Network (CNN) algorithms assist to perform operations with voice and text commands. By using this approach, the final result is expected to have an accuracy score of over 96%.

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Valera Román, Adrián, Denis Pato Martínez, Álvaro Lozano Murciego, Diego M. Jiménez-Bravo, and Juan F. de Paz. "Voice Assistant Application for Avoiding Sedentarism in Elderly People Based on IoT Technologies." Electronics 10, no. 8 (April 20, 2021): 980. http://dx.doi.org/10.3390/electronics10080980.

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The rise in the use of virtual assistants such as Siri, Google Assistant, or Alexa among different sectors of society is facilitating access to information and services that were previously inconceivable due to the existing digital divide due to age. This situation allows especially the elderly to perform tasks much more easily and to access applications and services that could be a challenge for them with other digital user interfaces. With this in mind, the EMERITI project aims to improve the lives of the elderly through the use of virtual assistants in different case studies. In this sense, virtual voice assistants along with the use of Internet of Things (IoT) technologies can contribute to avoid sedentarism in the elderly; however, it is necessary to address the problem of proactivity presented by the virtual assistants available in the market. This article presents a solution that, through the use of activity monitoring smart bracelets, IoT devices and virtual voice assistants allow the elderly to monitor their daily physical activity simply by using their voice and therefore prevent them from sedentary patterns. Finally, this study presents the technical results obtained after the deployment of the proposed system and discusses the main advantages and the current challenges of the use of virtual assistants in applications to prevent sedentary lifestyles in the elderly.

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Бесшапошников, Н. О., М. С. Дьяченко, А. Г. Леонов, and К. А. Мащенко. "AI-Based Virtual Teacher Assistants." Успехи кибернетики / Russian Journal of Cybernetics, no. 3(3) (September 30, 2020): 15–22. http://dx.doi.org/10.51790/2712-9942-2020-1-3-2.

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Современное образование находится на рубеже цифровой эпохи в преподавании, когда повсеместно внедряются новые методы обучения с использованием передовых информационно-коммуникационных технологий для дистанционных форм общения между педагогом и слушателями, автоматизации образовательного процесса с применением нейронных сетей и машинного обучения. Разрабатываемые цифровые образовательные среды и платформы не только позволяют учителю готовить и предоставлять школьникам и студентам учебный материал в удобной цифровой форме, которые доступны им в любом месте земного шара через сеть Интернет, но и существенно увеличивают нагрузку на преподавателя ростом объема необходимого для подготовки занятий образовательного контента. При этом преподаватель на дистанционной форме обучения фактически вынужден находиться круглые сутки на связи со своими слушателями. Использование цифровых образовательных сред с автоматизированной проверкой заданий позволяет освободить педагога от части рутинной работы. Другая возможность состоит в использовании в курсах виртуальных ассистентов преподавателя чат-ботов, обученных с помощью нейросетевых технологий отвечать на широкий круг вопросов студентов, без участия педагога. В статье излагаются результаты исследования и разработки подобных виртуальных помощников педагога. Одновременно указывается, что собранный материал диалогов бота со студентами позволяет использовать результаты для косвенного анализа успеваемости студента и формирования персональных образовательных траекторий. Today the education is on the verge of the digital age as new learning approaches with advanced information and communication distant learning technologies, and academic process digitalization with neural networks and machine learning. The new digital learning environments and platforms help the teacher to develop and deliver digital learning content for high school and university students making it available globally over the Internet. However, the teacher efforts are multiplied, as more and more content is to be developed. Even more, an elearning teacher is expected to be available 24/7. Digital learning environments with a computerassisted assessment feature remove some of the burdens from the educator. Another option is using virtual teacher assistants or chatbots based on trained neural networks. they can answer a wide range of student questions without the teacher’s intervention. We studied the development of such virtual teacher assistants. The recorded student/chatbot scripts can be used to indirectly estimate the student’s academic performance, and to offer a customized learning path.

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Lareyre, Fabien, Cédric Adam, Marion Carrier, and Juliette Raffort. "Virtual assistants for vascular surgeons." Journal of Vascular Surgery 72, no. 2 (August 2020): 772–73. http://dx.doi.org/10.1016/j.jvs.2019.12.028.

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White, Ryen W. "Skill discovery in virtual assistants." Communications of the ACM 61, no. 11 (October 26, 2018): 106–13. http://dx.doi.org/10.1145/3185336.

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Baranchuk, Vladislav A. "Virtual assistance information model for public services." Yugra State University Bulletin 15, no. 2 (December 10, 2019): 7–15. http://dx.doi.org/10.17816/byusu20190207-15.

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Currently, the world and Russia are rapidly developing the direction of developing virtual assistants. This is primarily due to the demands of business, the state and the population for this product, as well as the development of technologies capable of high-quality implementation of this product. Offers on virtual assistants for business and the public exist in large numbers: Google Assistant, Microsoft Cortana, Siri, etc. At the same time, there are no ready-made solutions for state needs in the market. The task of navigating public services today is the most relevant and relevant for the public sector. Solving this problem using a virtual assistant will save billions of rubles a year across the country. The article proposes an information model for the implementation of a virtual assistant for navigating public services. The basis of the intelligence of the developed virtual assistant is made up of artificial neural networks. The developed virtual assistant information model is implemented in the VIka software product. The trial operation of VIka takes place on the website of the administration of the Khanty-Mansiysk Autonomous Okrug Yugra, located at https://vi.admhmao.ru/chat/new.php. To date, VIka can help navigate services in 10 areas, such as healthcare, utilities, a line to kindergarten, etc.

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Srivastava, Smita, Dr Devesh Katiyar, and Mr Gaurav Goel. "Desktop Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 962–64. http://dx.doi.org/10.22214/ijraset.2022.40785.

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Abstract: Changes in technology have impacted human life in a variety of ways. Because of technology improvements, the way we lived in the past and how we live now are vastly different. Previously, computers could only perform a limited number of jobs, but advances in machine learning, artificial intelligence, and other technologies have advanced computers significantly. As a result, various voice assistants such as Alexa, Siri, and Cortana, which function on speech recognition, have been developed to make computers more advanced and to eliminate the use of input devices. Keywords: Virtual assistant, Speech recognition, python, text to speech.

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Geetha, Dr V., Dr C. K. Gomathy*, Mr Kottamasu Manasa Sri Vardhan, and Mr Nukala Pavan Kumar. "The Voice Enabled Personal Assistant for Pc using Python." International Journal of Engineering and Advanced Technology 10, no. 4 (April 30, 2021): 162–65. http://dx.doi.org/10.35940/ijeat.d2425.0410421.

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Personal Assistants, or conversational interfaces, or chat bots reinvent a new way for individuals to interact with computes. A Personal Virtual Assistant allows a user to simply ask questions in the same manner that they would address a human, and are even capable of doing some basic tasks like opening apps, reading out news, taking notes etc., with just a voice command. Personal Assistants like Google Assistant, Alexa, Siri wo

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Blom, Joleen, and Kai Mikkonen. "Virtual Assistants as Characters—Or Not." Narrative 30, no. 2 (May 2022): 169–81. http://dx.doi.org/10.1353/nar.2022.0009.

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Chérif, Emna, and Jean-François Lemoine. "Anthropomorphic virtual assistants and the reactions of Internet users: An experiment on the assistant’s voice." Recherche et Applications en Marketing (English Edition) 34, no. 1 (March 2019): 28–47. http://dx.doi.org/10.1177/2051570719829432.

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Virtual assistants are increasingly common on commercial websites. In view of the benefits they offer to businesses for improving navigation and interaction with the consumers, researchers and practitioners agree on the value of providing them with anthropomorphic characteristics. This study focuses on the effect of the voice of the virtual assistant. Although there are some studies of human–computer interaction in this field, there is no work that addresses the topic from a marketing perspective and compares the effect of a human voice versus a synthetic voice. Our findings show that consumers who interact with a virtual assistant with a human voice have a stronger impression of social presence than those interacting with a virtual assistant with a synthetic voice. The human voice also builds trust in the virtual assistant and generates stronger behavioural intentions.

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Krishna, Tummala Sri Ranga Sai. "Virtual Personal Assistant for Desktop Automation using Selenium." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3261–64. http://dx.doi.org/10.22214/ijraset.2021.35798.

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In recent years, Virtual Personal Assistants(VPA) have worked with utmost efficacy sorting out queries and specific tasks posted by the individual users on the website by AI and Natural Language Processing . VPA developers develop functions to either scrape the query result from the Internet. The result data include copious formats from a simple definition in Wikipedia to complex calculations or recommendations. However, VPA’s designed for desktops do not work as extensively as the VPA’s featuring in the smart phones . They do not provide a complete automation of desktop websites due to continuous and frequent development. The current desktop personal assistant’s can show you the top results of the query ‘Biryani’, but cannot order on behalf of you. In this study, we propose a Virtual Personal Assistant ARCHER for desktop automation using Selenium by using the specifications of the behavior data of websites.

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Patil, Atish, Madhuri Kardule, and Praveen Gupta. "Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (June 30, 2023): 2496–506. http://dx.doi.org/10.22214/ijraset.2023.54064.

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Abstract: Python is a relatively new programming language, and writing a script for a voice assistant in Python is simple. How the assistant responds to our requests is entirely under our control. We can convert anything we speak into text using voice recognition. This method is used by all voice-activated assistants like Alexa, Siri, Cortana, and others. Python's Speech Recognition library makes it easy to convert speech into text. The challenge of making my own personal helper was exciting. You can now launch your preferred IDE, send emails, perform web searches, play music, and more with just one voice command without ever opening a browser. Given the status of technology today, it is capable of performing any task at least as well as we do, if not better. This project's capabilities include being able to send emails to anyone, read PDF files for you, send WhatsApp messages, etc. Now, the fundamental question is: How is it an AI? The virtual assistant I developed isn't quite artificial intelligence, but it is the result of a number of statements. Artificial intelligence (AI) computers' main objective is to carry out tasks as effectively and efficiently as people. My virtual assistant is not a particularly good example of artificial intelligence, but it is one, and that is a fact.

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Graham, Christian, and Nory B. Jones. "Intelligent Virtual Assistant's Impact on Technical Proficiency within Virtual Teams." International Journal of Virtual and Personal Learning Environments 6, no. 1 (January 2016): 41–61. http://dx.doi.org/10.4018/ijvple.2016010104.

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Information-systems development continues to be a difficult process, particularly for virtual teams that do not have the luxury of meeting face-to-face. The research literature on this topic reinforces this point: the greater part of database systems development projects ends in failure. The use of virtual teams to complete projects further compounds these failures. However, recent developments in intelligent virtual assistants (IVAs), such as Siri, Cortana, or Watson, have created opportunities to automate the systems-development process and improve success rates. Specifically, the use of a virtual assistant possessing key knowledge about database systems development can increase virtual team member technical proficiency in project-based skills. In addition, a virtual assistant can contribute to the development of higher-quality virtual team projects—in this case, database management systems. This observational study found that while the result of statistical analysis was not quite significant, teams that used the IVA did develop higher-quality team projects.

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Rani, Dr Yatu, Ms Gurminder Kaur, Harsh Rana, Sagar ., and Nikhil . "JARVIS: A Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (February 28, 2023): 751–53. http://dx.doi.org/10.22214/ijraset.2023.49111.

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Abstract: As we know Python is an emerging language so it becomes easy to write a script for Voice Assistant in Python.The instructions for the assistant can be handled as per the requirement of user. Speech recognition is the process of converting speech into text. This is commonly used in voice assistants like Alexa, Siri, etc. In Python there is an API called Speech Recognition which allows us to convert speech into text. It was an interesting task to make my own assistant. It became easier to send emails without typing any word, Searching on Google without opening the browser, andperforming many other daily tasks like playing music, opening your favorite IDE with the help of a single voice command. In the current scenario, advancement in technologies are such that they can perform any task with same effectiveness or can say more effectively than us. I realized that the concept of AI in every field is decreasing human effort and saving time.

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Ortiz, Charles L. "Holistic Conversational Assistants." AI Magazine 39, no. 1 (March 27, 2018): 88–90. http://dx.doi.org/10.1609/aimag.v39i1.2771.

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This column describes work being done at Nuance Communication in developing virtual personal assistants (VPAs) that can engage in extended task center dialogues and the involve the coordination of many complex modules, along with conversational and collaborative support to such VPAs.

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Burns, Mary B., and Amy Igou. "“Alexa, Write an Audit Opinion”: Adopting Intelligent Virtual Assistants in Accounting Workplaces." Journal of Emerging Technologies in Accounting 16, no. 1 (March 1, 2019): 81–92. http://dx.doi.org/10.2308/jeta-52424.

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ABSTRACTIn recent years, there has been exponential growth in the volume of “always listening” intelligent virtual assistant devices used in the home. The adoption of intelligent virtual assistants is also moving rapidly into applications and devices utilized by businesses, including accounting workplaces. Although there are highly publicized drawbacks related to the home-use of this technology, the benefits of this spoken interface are many. Therefore, it is important to review the relevant literature, such as Altman's (1975) regulation of interpersonal barriers, Nissenbaum's (2010) notions of contextual integrity, the privacy paradox (Norberg et al. 2007), and Eyal's (2014) work on habit-forming products, to help understand the concerns related to the adoption of these assistants. This paper will discuss the advantages and disadvantages of these interfaces, imagine how accountants might use these devices in the near future, examine the challenges of adopting digital assistants, and provide recommendations for future research.

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Pérez, Anxo, Paula Lopez-Otero, and Javier Parapar. "Designing an Open Source Virtual Assistant." Proceedings 54, no. 1 (August 21, 2020): 30. http://dx.doi.org/10.3390/proceedings2020054030.

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A chatbot is a type of agent that allows people to interact with an information repository using natural language. Nowadays, chatbots have been incorporated in the form of conversational assistants on the most important mobile and desktop platforms. In this article, we present our design of an assistant developed with open-source and widely used components. Our proposal covers the process end-to-end, from information gathering and processing to visual and speech-based interaction. We have deployed a proof of concept over the website of our Computer Science Faculty.

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Davis, Courtney R., Karen J. Murphy, Rachel G. Curtis, and Carol A. Maher. "A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant." International Journal of Environmental Research and Public Health 17, no. 23 (December 7, 2020): 9137. http://dx.doi.org/10.3390/ijerph17239137.

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Artificial intelligence virtual health assistants are a promising emerging technology. This study is a process evaluation of a 12-week pilot physical activity and diet program delivered by virtual assistant “Paola”. This single-arm repeated measures study (n = 28, aged 45–75 years) was evaluated on technical performance (accuracy of conversational exchanges), engagement (number of weekly check-ins completed), adherence (percentage of step goal and recommended food servings), and user feedback. Paola correctly asked scripted questions and responded to participants during the check-ins 97% and 96% of the time, respectively, but correctly responded to spontaneous exchanges only 21% of the time. Participants completed 63% of weekly check-ins and conducted a total of 3648 exchanges. Mean dietary adherence was 91% and was lowest for discretionary foods, grains, red meat, and vegetables. Participants met their step goal 59% of the time. Participants enjoyed the program and found Paola useful during check-ins but not for spontaneous exchanges. More in-depth knowledge, personalized advice and spontaneity were identified as important improvements. Virtual health assistants should ensure an adequate knowledge base and ability to recognize intents and entities, include personality and spontaneity, and provide ongoing technical troubleshooting of the virtual assistant to ensure the assistant remains effective.

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Roshini, M., S. Nandhika, S. Prathipa, and Dr Rajasekar Velswamy. "AI System With Voice Modulation Using Neural Network." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 385–88. http://dx.doi.org/10.22214/ijraset.2022.42193.

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Abstract: A virtual assistant, also called AI assistant or digital assistant, is an application that understands voice commands and completes tasks for the user. Popular virtual assistants currently include Amazon Alexa, Apple, Siri, Google Assistant. In our project we'll create an AI system using Neural network algorithm and NLP Techniques. AI System which is able to perform all the actions-speaking, listening task, google search engine tasks, playing YouTube videos, tracking current location, date, time, day, year etc. Additionally, to these features AI Assistant will recognize emotions and communicate back to the speaker ,changing the voice of the assistant and recognize other language

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Hernandez, Pablo Ramires, and David Valle Cruz. "Los Asistentes virtuales basados en Inteligencia Artificial." RECIBE, REVISTA ELECTRÓNICA DE COMPUTACIÓN, INFORMÁTICA, BIOMÉDICA Y ELECTRÓNICA 11, no. 2 (November 28, 2022): C1–1—C1–11. http://dx.doi.org/10.32870/recibe.v11i2.251.

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La inteligencia artificial (IA) ha comenzado a adentrarse en diferentes ámbitos y sectores. Actualmente, existen aplicaciones de IA en nuestros teléfonos, las plataformas de streaming y para el servicio al cliente, lo que representa una actividad estratégica fundamental en las organizaciones. En este documento se presenta el estado del arte de los asistentes virtuales basados en IA. Los hallazgos de esta investigación exploratoria identificaron que, aunque, la IA permite desarrollar diferentes herramientas, como el que un asistente virtual simule conversaciones humanas, las arquitecturas existentes no son del todo eficientes. Esta situación se debe a que los chatbots actuales no explotan al máximo el potencial de las técnicas de IA, pues básicamente solo funcionan con base en menús.

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Ayedun, C. A., A. S. Oni, O. A. Oluwatobi, D. M. Kurya, and R. K. Alimi. "Adoption of Virtual Assistants Application to Estate Surveying and Valuation Practice in Nigeria." Journal of International Cooperation and Development 6, no. 1 (March 6, 2023): 73. http://dx.doi.org/10.36941/jicd-2023-0006.

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The Estate Surveying and Valuation practice in Nigeria has come a long way and has been facing various kind of challenges one of which is its inability to keeping up with technological trends in facilitating the efficiency of its operations. The need to subscribe to the trends in technology has now become more important than ever before. One of such technologies is the application of Virtual Assistant to real estate services which has become household tool in developed economy but which has received little attention in developing countries such as Nigeria. It is in view of the aforementioned that this study is set to examine the application of virtual assistants in the estate surveying and valuation practice especially in the area of property marketing in the Abuja Metropolis area of Nigeria. Data for the study was obtained with the aid of questionnaire administered to sixty (60) randomly selected estate surveyors and valuers practicing Abuja Metropolis of Nigeria with a response rate of 100%. Descriptive statistical tools such as frequencies, percentages, and Relative Importance Index (RII) were used to analyse the data obtained. The study revealed that the greatest factor mitigating the application of virtual assistants to be lack of knowledge regarding its utilization and benefits. The study recommends creation of awareness about the inherent benefits in the application of virtual assistants to the estate surveying and valuation profession be vigorously embarked upon at professional workshops and seminars to be the most plausible measure to be taken towards ameliorating the inherent problems to the application of virtual assistants. Received: 4 April 2022 / Accepted: 3 February 2023 / Published: 6 March 2023

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Li, Chang, and Hideyoshi Yanagisawa. "Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions." PLOS ONE 16, no. 4 (April 23, 2021): e0250326. http://dx.doi.org/10.1371/journal.pone.0250326.

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With the growing utility of today’s conversational virtual assistants, the importance of user motivation in human–artificial intelligence interactions is becoming more obvious. However, previous studies in this and related fields, such as human–computer interaction, scarcely discussed intrinsic motivation (the motivation to interact with the assistants for fun). Previous studies either treated motivation as an inseparable concept or focused on non-intrinsic motivation (the motivation to interact with the assistant for utilitarian purposes). The current study aims to cover intrinsic motivation by taking an affective engineering approach. A novel motivation model is proposed, in which intrinsic motivation is affected by two factors that derive from user interactions with virtual assistants: expectation of capability and uncertainty. Experiments in which these two factors are manipulated by making participants believe they are interacting with the smart speaker “Amazon Echo” are conducted. Intrinsic motivation is measured both by using questionnaires and by covertly monitoring a five-minute free-choice period in the experimenter’s absence, during which the participants could decide for themselves whether to interact with the virtual assistants. Results of the first experiment showed that high expectation engenders more intrinsically motivated interaction compared with low expectation. However, the results did not support our hypothesis that expectation and uncertainty have an interaction effect on intrinsic motivation. We then revised our hypothetical model of action selection accordingly and conducted a verification experiment of the effects of uncertainty. Results of the verification experiment showed that reducing uncertainty encourages more interactions and causes the motivation behind these interactions to shift from non-intrinsic to intrinsic.

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Farhi, Faycal, Riadh Jeljeli, Ala'aldin Zahra, Salami Saidani, and Leila Feguiri. "Factors Behind Virtual Assistance Usage Among iPhone Users: Theory of Reasoned Action." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 02 (January 25, 2023): 42–61. http://dx.doi.org/10.3991/ijim.v17i02.36021.

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Smartphone usage is increasing due to several features and opportunities offered by manufacturers and service providers. Existing literature attributes this increased usage to the availability of virtual assistants, mainly voice assistants, that ensure users' facility and maximum benefit. This research also focused on the factors behind voice assistant usage, particularly in iPhones among users in the United Arab Emirates. Notably, the conceptual framework in this research is supported by the Theory of Reasoned Action. The researchers adopted a cross-sectional design and gathered data from n= 251 respondents. Data analysis through Structural Equation Modelling revealed that, Perceived Ease of Use, Subjective Norms, and Perceived Behavioral Control work as significant factors contributing to iPhone-based voice assistant usage. On the other hand, Expectation Confirmation also works as a significant factor in Siri usage. On the other hand, Satisfaction significantly mediated (p> .022) the users’ Expectation Confirmation leading to Siri usage among the respondents. Further, the Artificial Neural Network Analysis (ANN) revealed an overall accuracy regarding Training at 14.8% and 30.8% concerning Testing. Thus, it is concluded that the devices accompanied by ease of use are preferred due to their distinguished services. In this regard, highlighting voice assistants' help also reflects the importance of technology in our daily lives. Especially mobile computing is playing a significant role in improving our everyday technology experiences.

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Ali, MD Mohsin, S. Vamshi, S. Shiva, and S. Bhanu Prakash. "Virtual Assistant Using Supervised Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (June 30, 2023): 3239–45. http://dx.doi.org/10.22214/ijraset.2023.54262.

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Abstract: Todays modern world, everything got evoluted including technology from vacuum tubes to nanoelectronics.Now a days the total world is in single palm of human in the form of mobile.But these days we aren’t using hands, instead we using voice commands to wake electronics devices like mobiles,it is not only in mobiles, also in every electronics.This type of usage is possible by embedding a virtual assistant into electronics. Virtual Assistants are software programs that help you ease your day to day tasks, such as showing weather report, creating reminders, making shopping lists etc. They can take commands via text (online chat bots) or by voice. This paper delivers steps to build a web based virtual assistant using supervised learning to achieve goals which cannot done by the VA’s in market.And as this model uses supervised learning, so there will be limited commands and data to maintain it in our control.

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Tejaswi, Ch V. "Virtual Voice Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 4097–101. http://dx.doi.org/10.22214/ijraset.2021.35868.

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This is desktop application which can assist people with basic tasks using natural language. Virtual Voice Assistants can go online and search for an answer to a user’s question. Actions can be triggered using text or voice. Voice is the key. A virtual voice assistant is a personal assistant which uses natural language processing (NLP) , voice recognition and speech synthesis to provide a service through a particular application. Natural Language Processing in short is called as NLP. It is basically a branch of artificial intelligence which mainly deals with the interaction between personal computers and human beings using the natural language. The main objective of NLP is to read, convert, understand, and make use of the human languages in a manner that is valuable. Voice recognition is a hardware device or computer software program with the potential to decode the voice of human beings. Voice recognition is usually used to operate a gadget, execute commands, or write without making use of any mouse, keyboard, or press any buttons. Artificial production of human speech is called as Speech Synthesis. A system used for this purpose is called a speech computer or speech synthesizer and can be implemented in many products of software’s and hardware’s.

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Riddell, Heather, and Christopher Fenner. "Hey Google: A thematic analysis of Twitter users’ comments on the privacy of AI devices in the home." Explorations in Media Ecology 20, no. 4 (December 1, 2021): 457–77. http://dx.doi.org/10.1386/eme_00111_1.

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The advancement of technology has been accompanied by the rise of data breaches and privacy concerns. The integration of artificial intelligence (AI)-based virtual assistants into society has led to smart homes that enable users to complete commands instantly. This project uses the diffusion of innovation theory to explain why consumers adopt the technology. A thematic analysis was conducted on Twitter news stories, and open coding showed a strong negative reaction to the stories, with users concluding that privacy was too essential to purchase a virtual assistant for their home. These findings have implications for the future rate of adoption of AI and virtual assistant technology.

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Du, Xiaomin, Xinran Zhao, Chia-Huei Wu, and Kesha Feng. "Functionality, Emotion, and Acceptance of Artificial Intelligence Virtual Assistants." Journal of Global Information Management 30, no. 7 (September 2022): 1–21. http://dx.doi.org/10.4018/jgim.290418.

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This paper aims to expand the acceptance of the AI Virtual Assistant model from the perspective of user’s cognition. Based on the 240 samples, we used multi-layer regression analysis to investigate the influencing factors and differential effects of users' acceptance of AI Virtual Assistant. The results show that functional cognition and emotional cognition of users are important influencing factors for an artificial intelligence virtual assistant. This provides a new perspective for user acceptance processes of the AI Virtual Assistant. We also examined the moderating effect of social norms between user cognition and AI Virtual Assistant. At last, a new AI acceptance model of AI Virtual Assistant was established.

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Choudhari, Prof Y. D. "Emotion Recognizing Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1554–59. http://dx.doi.org/10.22214/ijraset.2021.35151.

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Virtual Assistants are the most effective product of AI which makes people’s life easier. They are used in many machines. With AI many other technologies are also born like emotion recognition. This paper presents the AI with the feature of emotion recognition. This AI will complete the task by considering the emotion of user. As so as it takes the command it will analyze the task but before it perform it will recognize the emotion of user and then according to it, it will proceed for task completion. We have used Python language with machine learning algorithm. It is very effective to detect the emotions and avoid any problems. It will provide closer interaction with user like friend.

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Goel, Jatin, Harshita Jain, and Prabhjot Kaur. "Bicep Curl Count: Computer Vision Based Counting." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 1898–902. http://dx.doi.org/10.22214/ijraset.2022.42702.

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Abstract: Gym is a place which is mostly used by everyone these days. It is important to have a good trainer in order to guide you so that you can avoid injuries. Gym machines are getting upgraded at a high pace like Flexnet, which provides us with a AI based virtual assistant. Virtual assistant is used by mostly everyone in daily life like while walking to count steps, or the use of SIRI or ALEXA which are also an example of virtual assistant. These assistants are required in gym to count our repetitions while we are exercising. So this project uses MediaPipe and its inbuilt libraries with the help of Computer Vision to get the best result. With the help of this project we are marking the various coordinates of our body and then calculating the angle of our left arm to measure our arm angle and then counting the repetitions of it. Keywords: AI, Virtual Assistant, ALEXA, SIRI, Repetitions, Computer Vision.

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Hasler, Béatrice S., Peleg Tuchman, and Doron Friedman. "Virtual research assistants: Replacing human interviewers by automated avatars in virtual worlds." Computers in Human Behavior 29, no. 4 (July 2013): 1608–16. http://dx.doi.org/10.1016/j.chb.2013.01.004.

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Oliveira, Christiane Burle de, and Marilia Abrahão Amaral. "A Discourse Analysis of Interactions with Alexa Virtual Assistant Showing Reproductions of Gender Bias." Clepsydra. Revista de Estudios de Género y Teoría Feminista, no. 23 (2022): 37–58. http://dx.doi.org/10.25145/j.clepsydra.2022.23.03.

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Virtual assistants are everywhere, and most of these artifacts come by default with a female name and voice. This article refers to Science, Technology and Society (STS) studies to analyze the reproduction of gender bias in the discourse of Alexa virtual assistant, making use of the French Discourse Analysis method. From the interaction with Alexa and comparison of its responses with those found in previous surveys, it is identified the discursive and ideological formations in such speech, aiming to find stereotypic patterns. By working on the identification of unconscious gender biases in the discourse, approaching HumanComputer Interaction, this study presents how the prejudice-laden patriarchal culture presents itself in mediation with technology. By analyzing the assistant’s answers to genderrelated interactions, an awareness can be developed to help with a strategy of technological solutions that adjust this experience and create a less harmful and more inclusive design

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Calahorra Candao, Guillermo, and María José Martín de Hoyos. "Hey Siri: Exploring the Effect of Voice Humanity on Virtual Assistant Acceptance." European Conference on the Impact of Artificial Intelligence and Robotics 4, no. 1 (November 17, 2022): 119–25. http://dx.doi.org/10.34190/eciair.4.1.954.

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This work in progress presents a proposed model to measure the acceptance of the use of voiced virtual assistants in commercial contexts. The use of these devices has increased after their implementation in smartphones and with the arrival of smart speakers in any household appliance. We propose the present model emphasizing the anthropomorphic aspect of the assistant to know if it has an emphasis on its acceptance. Unlike other models of acceptance, the contribution of the work is the inclusion of anthropomorphic variables such as human presence and human like voice. The work focuses on the virtual assistant Siri.

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Fragkoulidi, Ntiana. "Posthuman Relationships: Social Assistants as Virtual (Girl)friends." Junctions: Graduate Journal of the Humanities 2, no. 2 (September 1, 2017): 49. http://dx.doi.org/10.33391/jgjh.35.

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Kefi, Hajer, Ekaterina Besson, Karina Sokolova, and Chiraz Aouina-Mejri. "Privacy and Intelligent Virtual Assistants Usage across Generations." Systèmes d'information & management Volume 26, no. 2 (July 13, 2021): 43–76. http://dx.doi.org/10.3917/sim.212.0043.

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Eisman, Eduardo M., Víctor López, and Juan Luis Castro. "A framework for designing closed domain virtual assistants." Expert Systems with Applications 39, no. 3 (February 2012): 3135–44. http://dx.doi.org/10.1016/j.eswa.2011.08.177.

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Schadelbauer, Lisa, Stephan Schlögl, and Aleksander Groth. "Linking Personality and Trust in Intelligent Virtual Assistants." Multimodal Technologies and Interaction 7, no. 6 (May 25, 2023): 54. http://dx.doi.org/10.3390/mti7060054.

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Throughout the last years, Intelligent Virtual Assistants (IVAs), such as Alexa and Siri, have increasingly gained in popularity. Yet, privacy advocates raise great concerns regarding the amount and type of data these systems collect and consequently process. Among many other things, it is technology trust which seems to be of high significance here, particularly when it comes to the adoption of IVAs, for they usually provide little transparency as to how they function and use personal and potentially sensitive data. While technology trust is influenced by many different socio-technical parameters, this article focuses on human personality and its connection to respective trust perceptions, which in turn may further impact the actual adoption of IVA products. To this end, we report on the results of an online survey (n=367). Findings show that on a scale from 0 to 100%, people trust IVAs 51.59% on average. Furthermore, the data point to a significant positive correlation between people’s propensity to trust in general technology and their trust in IVAs. Yet, they also show that those who exhibit a higher propensity to trust in technology tend to also have a higher affinity for technology interaction and are consequently more likely to adopt IVAs.

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R, Apoorva, Amogavarsha N R, Bhupin Hegde Hegde, Deepak B P, and Likithesh M. "AI and Arduino –Based Smart Home Robot Assistant." Advancement of IoT in Blockchain Technology and its Applications 2, no. 1 (February 13, 2023): 12–16. http://dx.doi.org/10.46610/aibtia.2023.v02i01.003.

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The creation of genuine conversation between humans and machines is the primary objective of artificial intelligence (AI). To increase the connection between humans and machines, numerous IT firmshave developed various types of Virtual Personal Assistants (VPAs) based on their applications and use cases, including Microsoft's Cortana, Apple's Siri, Amazon Alexa, and Google Assistant. Using Python, we have developed our own virtual personal assistant that is only available for Windows and can be accessed on any Windows explorer version, including Windows 7, 8, and 10. Python is used as a programming language because it has several important libraries that are used to carry out tasks. Our virtual assistant can identify and respond to the user's voice utilizing python installation packages. Because of how simple it is, home automation has become considerably more popular and in demand in recent years. Recently, work in this area has taken place, and a few systems that either use voice assistants or applications to manage electrical appliances have been developed. To administer the smart home and its various apps, an embedded system is employed as a local server. The findings show a variety of activities that the robot can take to answer the user's questions. The activities performed can be voice responses, mechanical moves, and motions, software tasks, or simply text messages.

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Roca, Surya, Manuel Almenara, Yolanda Gilaberte, Tamara Gracia-Cazaña, Ana M. Morales Callaghan, Daniel Murciano, José García, and Álvaro Alesanco. "When Virtual Assistants Meet Teledermatology: Validation of a Virtual Assistant to Improve the Quality of Life of Psoriatic Patients." International Journal of Environmental Research and Public Health 19, no. 21 (November 5, 2022): 14527. http://dx.doi.org/10.3390/ijerph192114527.

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Teledermatology has given dermatologists a tool to track patients’ responses to therapy using images. Virtual assistants, the programs that interact with users through text or voice messages, could be used in teledermatology to enhance the interaction of the tool with the patients and healthcare professionals and the overall impact of the medication and quality of life of patients. As such, this work aimed to investigate the effectiveness of using a virtual assistant for teledermatology and its impact on the quality of life. We conducted surveys with the participants and measured the usability of the system with the System Usability Scale (SUS). A total of 34 participants (30 patients diagnosed with moderate-severe psoriasis and 4 healthcare professionals) were included in the study. The measurement of the improvement of quality of life was done by analyzing Psoriasis Quality of Life (PSOLIFE) and Dermatology Life Quality Index (DLQI) questionnaires. The results showed that, on average, the quality of life improved (from 63.8 to 64.8 for PSOLIFE (with a p-value of 0.66 and an effect size of 0.06) and 4.4 to 2.8 for DLQI (with a p-value of 0.04 and an effect size of 0.31)). Patients also used the virtual assistant to do 52 medical consultations. Moreover, the usability is above average, with a SUS score of 70.1. As supported by MMAS-8 results, adherence also improved slightly. Our work demonstrates the improvement of the quality of life with the use of a virtual assistant in teledermatology, which could be attributed to the sense of security or peace of mind the patients get as they can contact their dermatologists directly within the virtual assistant-integrated system.

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Chien, Daniel, Isai Figueroa, Gloria Wu, and Weichen Zhao. "ODP168 Can Virtual Assistants Help our Diverse Population of Diabetic Patients?" Journal of the Endocrine Society 6, Supplement_1 (November 1, 2022): A301—A302. http://dx.doi.org/10.1210/jendso/bvac150.623.

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Abstract Background Diabetes affects 34 million in the US and an additional 88 million are prediabetic. 1 According to the CDC, Diabetes affects Hispanic Americans (22%) and Asian Americans (19%) more than the Caucasian (12%) population. 2 Many of these patients do not speak English. In addition, 55% of US adults did not graduate from high school. 3 Health literacy is a barrier to health care. There are 4.2 billion Virtual Assistant AI devices, e. g. Amazon Echo Dot and Google Home Mini, which are used worldwide. Virtual assistant devices are used in nursing homes and assisted living facilities. 4 Purpose: To evaluate Virtual Assistant Devices, Alexa and Google, as a educational tool for our multicultural Diabetic Population Methods: Evaluation of Amazon Echo Dot (Alexa) and Google Home Mini (Google) with voice activation in English, Spanish and Mandarin was performed. Alexa did not have Mandarin Chinese speaking capability. Responses from both devices were recorded and then transcribed to text using Google Docs "speech to text" tool and assistance from native Mandarin Chinese and Spanish speakers. Transcribed English language responses were pasted into WebFx.com and readabilityformulas.com for readability analysis via Flesch-Kincaid Reading Ease (FRE), Flesch-Kincaid Grade Level Score (FGL), Simple Measure of Gobbledygook Index (SI), and the Dale-Chall Adjusted Grade Level (DCGL). Verbal Questions: 1) I have diabetes- what do I do? 2) I have Type 1 Diabetes Mellitus - What do I do? 3) I have Type 2 Diabetes - What do I do? 4) Does diabetes cause me to have problems seeing? 5) Does diabetes cause kidney problems? 6) Does diabetes cause problems with my feet? Results: Word Counts: English: Google (36.7 words +/- 10.4), Alexa (39.2 words +/- 25.2) Spanish: Google (31.2 words +/- 13.6), Alexa (45.2 words +/- 27.9) Chinese: Google (73.3 words +/- 31.6), Alexa (NA) No significant differences between the number of words for English vs. Chinese responses or English vs. Spanish responses. English Responses Readability: Avg FRE: Google (51.3 +/-12. 0), Alexa (71.1 +/- 9.9) (higher = easier reading) Avg FGL: Google (9.8 grade +/-1.7), Alexa (6.5 grade +/- 0.8) (higher = higher grade level) Avg SI: Google (9.5 +/-1.5), Alexa (6.5 +/-0.9) (higher = harder reading) Avg DCGL: Google (College), Alexa (Grades 9-10) Conclusion: Digital Voice Assistant Devices are helpful to patients who are visually impaired, have poor mobility or need language translation. Under physician guidance, these devices provide diabetes education for our patients and for the lay public. References: Diabetes Quick Facts. CDC. https://www.cdc.gov/diabetes/basics/quick-facts.html. Accessed 18 Jan 2022. Cheng YJ, Kanaya AM, et al. Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016. JAMA. 2019;322(24): 2389-2398. Accessed 19 Jan 2022 National Center for Education Statistics. https://nces.ed.gov/naal/kf_demographics.asp. Accessed 20 Jan 2022 Number of voice assistants in use worldwide 2019-2024. Statista. https://www.statista.com/statistics/973815/worldwide-digital-voice-assistant-in-use/ Accessed 17 Jan 2022 Presentation: No date and time listed

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Çepik, Hilal, Ömer Aydın, and Gökhan Dalkılıç. "Security Vulnerability Assessment of Google Home Connection with an Internet of Things Device." Proceedings 74, no. 1 (March 2, 2021): 1. http://dx.doi.org/10.3390/proceedings2021074001.

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With virtual assistants, both changes and serious conveniences are provided in human life. For this reason, the use of virtual assistants is increasing. The virtual assistant software has started to be produced as separate devices as well as working on phones, tablets, and computer systems. Google Home is one of these devices. Google Home can work integrated with smart home systems and various Internet of Things devices. The security of these systems is an important issue. As a result of attackers taking over these systems, very serious problems may occur. It is very important to take the necessary actions to detect these problems and to take the necessary measures to prevent possible attacks. The purpose of this study is to test whether an attack that attackers can make to these systems via network time protocol will be successful or not. Accordingly, it has been tried to attack the wireless connection established between Google Home and an Internet of Things device over the network time protocol. Attack results have been shared.

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Ammerman Yebra, Julia. "“The power of the voice”." RED — Revista Electrónica de Direito 29, no. 3 (2022): 6–24. http://dx.doi.org/10.24840/2182-9845_2022-0003_0002.

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Voice is a feature that individualizes and identifies us. Also, a voice is a biometric data, which means that once a voice has been processed, its owner can be identified. This allows us to state that the voice can be used as a means to authenticate the signature of an electronic contract. Therefore, biometric voice recognition techniques will make it possible to identify the owner of the voice, who will thus be giving his contractual consent. The issue could become more complicated when not only the “voiceprint” is used as a signature, but also the counterpart is a virtual voice assistant. These assistants, designed to both “answer” and “listen”, should contain strong privacy policies regarding the processing of the voices interacting with them. The purpose of this paper is to analyze the consent given both for electronic contracting by voice and for the processing of these voices by virtual assistants.

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Journal articles on the topic 'Virtual Assistants'

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