Top Research Papers on Virtual Assistant

The Virtuail aissistaint enaibles users to aiccess e-maiil aind cailendair notificaition using naiturail lainguaige speaiks, and the user must present the system to conduct ai diailogue in which it is aiffaible to operaite between these domaiins.

An autonomous virtual health assistant to interact between a doctor and patients via chat and Attribute-based encryption which has been used to securely share personal health records (PHRs) in the cloud are demonstrated.

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.

This voice assistant takes voice through microphone, it has used libraries like pyttsx3 to convert text-to-speech and it takes human voices as input and gives output in integrated voices.

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.

A solution to identify COVID- 19 patients in advance at corporate level using an IoT based solution that is supposed to be setup on top of each employee’s desk, which in return will be used to monitor the oxygen level, temperature, and heartbeat rate of the employees.

The privacy, cybersecurity, and physical security hazards of these technologies are becoming well known and understood, and the application of these devices to healthcare use cases must be approached with care and skepticism that are at least equal to the optimism with which they are currently being hyped and marketed.

Project Ethel at ETH Zurich aims to construct a virtual teaching assistant usingGenerative AI to provide feedback on homework solutions and grading exams, and augmenting the prompts with course-specific reference materials for feedback on homework solutions and exams.

This Chatbot is developed to be both educational and conversational, which delivers medical information, such as symptoms and remedies for diseases, and patients receive real-time advice from experts.

An intelligent, hands-free virtual assistant that revolutionizes user interaction and task management that makes use of cutting-edge machine learning, speech recognition, and other technologies is created.

This work proposes vmcache, a buffer manager design that instead uses hardware-supported virtual memory to translate page identifiers to virtual memory addresses, in contrast to existing mmap-based approaches, which retains control over page faulting and eviction.

A review of the current systems that aid in carrying out tasks traditionally performed by human assistants, their advantages, and drawbacks are presented.

There is a gap in the current state of the art in VA research, and no current literature reviews on the topic exist, which sheds light on future research directions, such as providing solutions to perform voice authentication without an external device, and the compliance of VAs with privacy regulations.

This study is aimed at designing an AI based virtual assistant that acts as a human language interface through automation and voice recognition based interaction from human based on Python to minimise human effort and time while performing a task that imitates a human assistant to carry out any particular task.

The study shows that several branches of chatbots are also in mainstream like natural language processing, e-learning, behavioural research, conversational agents, virtual assistants, human–computer interaction, natural language and so on.

GptVoiceTasker is a virtual assistant poised to enhance user experiences and task efficiency on mobile devices that excels at intelligently deciphering user commands and executing relevant device interactions to streamline task completion.

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The purpose of the project is to develop a system/assistant that will assist a visually impaired person and communicate the person by speaking through the earpiece, which applies the concept of Deep learning i.e. Neural networks.

This project embarks on the creation of a personalized virtual assistant using Python, focusing on fostering natural language interaction and tailoring responses to individ- ual user needs, to craft a fully functional virtual assistant.

Twenty-two guidelines for the development of Bimodal Virtual Assistants that combine both writing and speech modes are analyzed and synthesized and proposed, providing a unified model that helps raise awareness among designers who want to develop BVAs.

The concept of ethics is introduced, and the ethical principles of virtual assistants, (Transparency, Justice & fairness, Non-maleficence, Responsibly and Privacy) are discussed, for designers and developers to understand the ethical implications when building a virtual assistant.

The method of creating a voice assistant without using cloud services is described, which will allow the expansion of such devices in the future.

The added security feature addresses this concern by incorporating encryption, authentication, and access controls to ensure that personal data remains secure and protects the user’s privacy.

The proposed assistant will have a chat feature, psychological assessment, an emotion detection module and a recommendation system for improving the mood of the user, and has shown comparatively higher accuracy for Naive Bayesian model.

DIYA (Do-It-Yourself Assistant), a new system that empowers users to create personalized web-based virtual assistant skills that require the full generality of composable control constructs, without having to learn a formal programming language.

Virtual-assisted lung mapping (VALMAP), a preoperative bronchoscopic multiple-spot dye-marking technique, using indigo carmine as a preoperatively localization technique to identify hardly detectable pulmonary nodules and confirm the adequacy of the surgical margin is performed, enabling three-dimensional mapping and making sublobar resection more accurate.

The main task of a voice assistant is to minimize the use of input devices like keyboard, mouse, touch pens, etc. to reduce both the hardware cost and space taken by it.

The improvement of the quality of life with the use of a virtual assistant in teledermatology is demonstrated, 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.

It is argued that designers and policymakers need to be sensitive to the ethical side of the future of virtual assistants, and systematic frameworks are required to aid their moral imagination.

This research focuses on serious games research group, focusing on games for training and education where he utilizes artificial intelligence, virtual reality, and eye-tracking technologies.

Main aim of this paper is to provide detail description of global software architecture for such a virtual assistant in teaching computer science, which will be a set of micro-services that will serve a specific task.

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, the authors need customized directive that will define the functionality of the voice assistant.

Voice assistant in python on windows system is developed which provide user to perform any task without using keyboard, and now user can send email just by giving receiver’s email and the message user wants to send.

An overview of VDA intended for integration with online education platforms to enhance the process of evaluation of students’ performance is presented and it is affirm that relying on the advancements in NLP and Machine Learning, the approach can provide an enhanced experience of evaluation for modern ODL platforms.

Psychotherapy with the use of psychedelic substances, including psilocybin, lysergic acid diethylamide (LSD), ketamine, and 3,4-methylenedioxymethamphetamine (MDMA), has demonstrated promise in treatment of post-traumatic stress disorder (PTSD), anxiety, addiction, and treatment-resistant depression. Psychedelic-assisted psychotherapy (PP) represents a unique psychopharmacological model that leverages the profound effects of the psychedelic experience. That experience is characterized by strong dependency on two key factors: participant mindset and the therapeutic environment. As such, therape...

DMigrate shortens the time for live-migrating VMs with even large memory DBMSes with even large memory DBMSes by performing regular memory transfers while simultaneously constructing the DBMS's buffer-pool by fetching the data items from the shared storage.

The results indicate that the integration of Whisper API with Chat GPT API significantly improves the quality and accuracy of voice-based interaction, streamlining system operation while minimizing the need for complex graphical interfaces.

To provide a better platform, Web Connectivity is also can be done to evaluate the Voice Assistant on a Web-based platform which will help in analyzing human speech and react properly.

The idea is to use neural networks to build a medical chatbot that can offer information, identify diseases, and provide basic illness information as well as when and where to seek medical advice.

Svant, a system that automatically generates task shortcuts for virtual assistants by mapping user tasks to relevant UI screens in apps by mapping text and semantic information contained within UIs to identify relevant screens, is presented.

This chapter introduces an overview of the current approaches for generating spoken content using text-to-speech synthesis (TTS) systems, and thus the voice of an Interactive Virtual Assistant (IVA), and introduces the two main components of a TTS system: text processing and acoustic modelling.

An adaptable virtual reality simulation and visualization method is developed to provide essential information to the physician ahead of time with the goal of reducing potential risks, decreasing operation time, and improving the accuracy of cardiac catheterization procedures.

Artificial Intelligence technology, especially digital language processing, can be used to develop a prototype of the Virtual Sales Assistant in Property Project’s House Show Unit which aims to help improve the sales process.

This paper proposes a novel LLM-based virtual assistant that can automatically perform multi-step operations within mobile apps based on high-level user requests and represents an advance in assistants by providing an end-to-end solution for parsing instructions, reasoning about goals, and executing actions.

A prototype smart home assistant that utilises gesture-based controls, improving accessibility and convenience for Deaf users and features Zelda, an interactive signing avatar that provides responses in Auslan (Australian Sign Language), enabling effective two-way communication.

Three new identified low-level inconspicuous features are showcased, which can be leveraged by an unprivileged adversary to effectively and stealthily detect the hardware-assisted virtualization.

A VR environment with a generative AI-embodied virtual assistant to support participants in responding to varying cognitive complexity anatomy questions and enable verbal communication and results reveal a significant difference in the scores obtained from knowledge- and analysis-based questions in relation to avatar configuration.

A novel position-aware virtual agent locomotion method that can perform virtual agent positioning (position+orientation) in real time for room-scale VR navigation assistance and is superior to the baseline condition.

Various methods for building virtual medical assistants that may interact with people to answer simple questions about health characteristics and recommend necessary actions to the user are discussed.

This study examined the use of repair initiators in both English and Spanish with two popular assistants, Google Assistant and Apple's Siri, to codify the differences, if any, in responses by voice assistants to dialogues in need of repair as compared to human-human dialogues also inNeed of repair.