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Relevant bibliographies by topics / Personalized Assistants

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Academic literature on the topic 'Personalized Assistants'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Personalized Assistants"

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Singh, Ajit Pal, Rahul Saxena, and Suyash Saxena. "The Future of Learning: AI-Driven Personalized Education." Asian Journal of Current Research 9, no. 4 (2024): 207–26. https://doi.org/10.56557/ajocr/2024/v9i49018.

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Virtual assistants are rapidly transforming the educational landscape. These AI-driven tools offer personalized support, enhancing student engagement and improving learning outcomes. Virtual assistants can answer questions instantly, clarify complex concepts, and create tailored study plans. By automating routine tasks and providing on-demand assistance, they free up educators to concentrate on more advanced instructional activities. Moreover, virtual assistants can analyze student performance data to pinpoint areas needing improvement and suggest targeted interventions. This data-driven appro

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Baghel, Ankit, Akansha Pawar, Janvi Hatwar, Devansh Shrivastav, and Dr Shruti Thakur. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.d1071.05040525.

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This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes and exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providing coping strategies, empha

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Ankit, Baghel. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health (IJPMH) 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.D1071.05040525.

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<strong>Abstract: </strong>This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes, as well as exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and

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Ankit, Baghel. "Enhancing Virtual Assistance for Mental Health Support." International Journal of Preventive Medicine and Health (IJPMH) 5, no. 4 (2025): 21–24. https://doi.org/10.54105/ijpmh.D1071.05040525/.

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<strong>Abstract:</strong> This research introduces Enhancing Mental Health Support through Virtual Assistance by an efficient and Comprehensive Approach. Virtual assistant features empathetic conversation capabilities, regular symptom tracking, suggestions, and connections with psychiatrists. The project's objectives include assessing the efficacy of virtual assistance in improving user engagement and mental health outcomes and exploring user perceptions of privacy and effectiveness. We investigate the efficacy of virtual assistants in crisis intervention, ongoing therapy support, and providi

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Hyma, J., M. Rama Krishna Murty, and A. Naveen. "Personalized privacy assistant for digital voice assistants: Case study on Amazon Alexa." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 3 (2021): 291–97. http://dx.doi.org/10.3233/kes-210071.

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The advancements in modern technologies permit the invention of various digital devices which are controlled and activated by people’s gestures, touch and even by one’s voice. Google Assistant, iPhone Siri, Amazon Alexa etc., are most popular voice enabled devices which have grabbed the attention of digital gadget users. Their usage definitely makes the life easier and comfortable. The other side of these smart enabled devices is incredible violation of the privacy. This happens due to their continuous listening to the user and data transmission over a public network to the third-party service

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Prof., N. B. Vairagde Lokesh Sawalkar Pratik Bhalme Ankit Surkar Dipika Uparade Vaishanvi Chavhan. "Enhancing Smart Campus Experiences in Higher Education with AI-Powered Voice Assistants." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 217–24. https://doi.org/10.5281/zenodo.15442649.

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The integration of AI-driven voice assistants in higher education is transforming smart campus experiences by enhancing accessibility, efficiency, and student engagement. These intelligent systems leverage natural language processing (NLP) and machine learning (ML) to facilitate seamless interactions between students, faculty, and campus services. By integrating voice-enabled AI with smart campus infrastructure, institutions can create a more connected and automated environment, improving communication and operational efficiency. These systems personalize learning experiences by offering tailo

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suyal, Mohit. "Virtual Assistants and AI Chat bots for Home Management and Family Organization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 07 (2025): 1–9. https://doi.org/10.55041/ijsrem51157.

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In the digital age, the integration of artificial intelligence (AI) into daily life has become increasingly prevalent, particularly through virtual assistants and AI chatbots. These intelligent systems are now playing a pivotal role in home management and family organization, transforming the way households operate. This research paper explores the impact, applications, and implications of AI-powered virtual assistants and chatbots in managing home tasks, improving communication, and enhancing overall family coordination.The study investigates how AI tools such as Amazon Alexa, Google Assistan

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Prof., C. D. Sawarkar Prof. Pranjali D. Waghmare Akanksha S. Tripathi Sanket S. Alane. "Desktop Voice Assistant Using Artificial Intelligent." International Journal of Advanced Innovative Technology in Engineering 9, no. 3 (2024): 279–83. https://doi.org/10.5281/zenodo.12737234.

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Integrating artificial intelligence (AI) in desktop voice assistants has revolutionized how we interact with computers. These advanced AI-powered voice assistants, such as Jarvis AI, can understand natural language commands, process information, and provide personalized assistance to users seamless and intuitive manner. The voice assistant uses speech recognition modules which is useful for recognizing and understanding human input voice and on the basis of user input command it gives the required input queries or performs the given task like opening and closing different applications, can sea

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Tank, Hetvi, Kirit Modi, and Ankur Goswami. "Improving Voice Assistant User Experience through Context-Awareness and Personalization." SPU Journal of Science, Technology and Management Research 1, no. 1 (2024): 45–55. https://doi.org/10.63766/spujstmr.24.000008.

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Context awareness, the system's ability to comprehend and adapt to the user's surroundings, is harnessed through cutting-edge natural language processing, environmental sensing, and machine learning algorithms. To achieve context awareness, the proposed system employs advanced natural language processing and machine learning algorithms. The incorporation of context-aware features allows voice assistants to grasp the situational nuances of a conversation. This involves considering the user's prior commands, inquiries, and the broader context of the dialogue. Such awareness enables the voice ass

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Sajja, Ramteja, Yusuf Sermet, Muhammed Cikmaz, David Cwiertny, and Ibrahim Demir. "Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education." Information 15, no. 10 (2024): 596. http://dx.doi.org/10.3390/info15100596.

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This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and natural language processing (NLP) techniques to create an interactive and engaging learning platform. This platform is engineered to reduce cognitive load on learners by providing easy access to information, facilitating knowledge assessment, and delivering personalized learning support tailored to individual needs and learning styles. The AIIA’s capabilities include understanding and respondin

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Dissertations / Theses on the topic "Personalized Assistants"

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Sheppard, George. "Personalised intelligent travel assistant /." Leeds : University of Leeds, School of Computer Studies, 2008. http://www.comp.leeds.ac.uk/fyproj/reports/0708/Sheppard.pdf.

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Gilman, Ekaterina, Anja Keskinarkaus, Satu Tamminen, Susanna Pirttikangas, Juha Röning, and Jukka Riekki. "Personalised assistance for fuel-efficient driving." Elsevier, 2015. https://publish.fid-move.qucosa.de/id/qucosa%3A72830.

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Recent advances in technology are changing the way how everyday activities are performed. Technologies in the traffic domain provide diverse instruments of gathering and analysing data for more fuel-efficient, safe, and convenient travelling for both drivers and passengers. In this article, we propose a reference architecture for a context-aware driving assistant system. Moreover, we exemplify this architecture with a real prototype of a driving assistance system called Driving coach. This prototype collects, fuses and analyses diverse information, like digital map, weather, traffic situation,

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Asfari, Ounas. "Personalized Access to Contextual Information by using an Assistant for Query Reformulation." Thesis, Paris 11, 2011. http://www.theses.fr/2011PA112126.

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Les travaux présentés dans cette thèse rentrent dans le cadre de la Recherche d'Information (RI) et s'intéressent à une des questions de recherche actuellement en vogue dans ce domaine: la prise en compte du contexte de l'utilisateur pendant sa quête de l'information pertinente. Nous proposons une approche originale de reformulation automatique de requêtes basée sur le profil utilisateur et sa tâche actuelle. Plus précisément, notre approche tient compte deux éléments du contexte, les centres d'intérêts de l'utilisateur (son profil) et la tâche qu'il réalise, pour suggérer des requêtes appropr

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Gao, Yixing. "User modelling for personalised dressing assistance by humanoid robots using multi-modal information." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/44113.

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To enable personalised assistance, assistive robots benefit from building a user-specific model, so that the assistance is customised to the particular set of user abilities. Among various tasks in home environments, assistive dressing, which is greatly beneficial to people with upper-body movement limitations, remains a challenging task for humanoid robots. In this thesis, we aim to design, implement, and evaluate user modelling methods which can enable humanoid robots to provide personalised dressing assistance. We begin by proposing a user modelling method using vision information. We use G

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Bellmunt, Montoya Joaquim. "Modeling human behaviors and frailty for a personalized ambient assisted living framework." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS076/document.

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Les technologies d’assistance à la vie autonome est aujourd'hui nécessaire pour soutenir les personnes ayant des besoins spécifiques dans leurs activités de la vie quotidienne, mais leurs développements demeure limités malgré les enjeux liés à l’accompagnement des personnes âgées et dépendantes. Par ailleurs, l'élaboration de plateformes technologiques durant la dernière décennie s'est principalement concentrée sur la dimension technologique, en négligeant l'impact des facteurs humains et des besoins sociaux. Les nouvelles technologies, telles que le cloud et l’Internet des objets (IoT) pourra

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Kadariya, Dipesh. "kBot: Knowledge-Enabled Personalized Chatbot for Self-Management of Asthma in Pediatric Population." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1565944979193573.

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Simon, Julien. "Learning to drive with Advanced Driver Assistance Systems. Empirical studies of an online tutor and a personalised warning display on the effects of learnability and the acquisition of skill." Doctoral thesis, Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200600713.

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Beside all the technical challenges concerning sensor quality and control algorithms one of the main issues related to the introduction of advanced driver assistance systems (ADAS) constitutes the human-machine interaction. This covers not only the physical interface between the driver and the system but also the understanding and cognitive model the driver needs to operate the system. The explorative analysis of a long-term field study of the use of ACC, was aimed at identifying characteristics of the learning process and their potential implications for conceptualising novel displays to incr

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Avina, Bravo Eli Gabriel. "Conception, développement et validation d'un système intelligent de mesure physiologique et biomécanique embarqué : Vélo à assistance électrique avec IA pour les interventions thérapeutiques et la prévention santé." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEI003.

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Selon les projections de l'Organisation mondiale de la santé (OMS), il est estimé qu'en 2050, plus de 22 % de la population mondiale aura 60 ans ou plus. Cette évolution démographique s'accompagne d'une prévalence croissante des maladies chroniques. En France, une personne sur quatre souffre actuellement d'une maladie chronique, un chiffre qui atteint trois personnes sur quatre chez les personnes âgées de 65 ans et plus. Ces maladies contribuent de manière significative à la mortalité, représentant 74 % du nombre total de décès en 2019. Heureusement, bon nombre de ces affections peuvent être p

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Daraghmi, Eman Yasser, and 尤伊曼. "EZBuy: Personalized Shopping Assistance System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/87254881357908806629.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>99<br>With the steady growth and affordability of camera phones, available hardware and communication systems, and modern middleware technologies, more necessary mobile applications have become possible. These technologies integrated with barcode systems assist developing mobile-phone based barcode recognition applications. These applications can facilitate people shopping and improve life quality. Consumers can use the mobile built-in camera to scan a barcode that presents on virtually every product world-wide, then middleware and communication technologies are u

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Chuang, Jen-Lan, and 莊仁嵐. "PATAS: A Personalized Adaptive Translation Assistant System." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/63946603369022747807.

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碩士<br>國立高雄第一科技大學<br>資訊管理所<br>94<br>ABSTRACT Due to the impact of globalization, the world economy has been evolved into a new era. The proliferations of business documents derived from enterprises make document translation an indispensable work both for localization and globalization. Therefore, we need more efficient tools to assist our translation work. In current situation, there are two approaches to help us do translation works. The first one is called Machine Translation (MT), and the second one is named Computer Assistant Translation (CAT). The former is an automatic approach and suffer

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Books on the topic "Personalized Assistants"

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Dolcetto, Golda. School Nurse: Personalized Christmas Gift for Nurses, Christmas Gifts for Nursing Assistants. Independently Published, 2020.

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BESTLOVES, Bestgiftever. All People Are Created Equal but Only Executive Assistants Are the Best: Funny Personalized Notebook for Executive Assistants for Men and Women Use for All Times - Gifts for Executive Assistantss , Appreciation Gifts for Executive Assistants - Famil. Independently Published, 2021.

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Edition, Grande Library. Library Assistants Are Like Unicorns They Make Magic Happen: A Lined Journal to Share Your Thoughts and Notes, - 120 Pages - Personalized Journal Gift for Library Assistants. Independently Published, 2021.

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Edition, Grande Human Resources. Human Resources Assistants Are Like Unicorns They Make Magic Happen: A Lined Journal to Share Your Thoughts and Notes, - 120 Pages - Personalized Journal Gift for Human Resources Assistants. Independently Published, 2021.

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BAKHNISS, Hicham. Everyone Deserves a Voice: Floral SLP Gift for Notes Journaling , Speech Therapist Gift , Cute Pretty Personalized ... and Note Taking - Speech Therapy Assistants. Independently Published, 2021.

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Edition, Grande Human Resources. She Believed She Could Make Difference So She Become a Human Resources Assistant: A Lined Journal to Share Your Thoughts and Notes, - 120 Pages - Personalized Journal Gift for Human Resources Assistants. Independently Published, 2021.

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Outamra, Bia. Medical Assistant You Are Number One: Gift for Medical Assistant , Funny Personalized Notebook for Medical Assistant's, Birthday Notebook Journal for Medical Assistant ... Gifts for Appreciation Lined Notebook / Journal Gift, 110 Pages, 6x9, Soft Cover. Independently Published, 2021.

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Outamra, Bia. Dental Assistant You Are Number One: Gift for Dental Assistant , Funny Personalized Notebook for Dental Assistant's, Birthday Notebook Journal for Dental Assistant ... Gifts for Appreciation Lined Notebook / Journal Gift, 110 Pages, 6x9, Soft Cover. Independently Published, 2021.

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Cole, Jacob. Medical Assistant Gastro Doctor Gastroenterology Gift : Personalized Daily Planner: Undated Daily Organizer, to-Do List, Appointments, Meal, Finess... Independently Published, 2022.

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Cole, Jacob. Veterinary Assistant and Loving It Animal Doctor Vet : Personalized Daily Planner: Undated Daily Organizer, to-Do List, Appointments, Meal, Finess... Independently Published, 2022.

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Book chapters on the topic "Personalized Assistants"

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Ramalingam, D., and Mahalakshmi Dharmalingam. "Cognitive Intelligent Personal Learning Assistants for Enriching Personalized Learning." In Intelligent Systems and Sustainable Computational Models. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781003407959-14.

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Sol, Koemhong, and Kimkong Heng. "AI-Powered Chatbots as Personalized Academic Writing Assistants for Non-Native English Speakers." In Encyclopedia of Educational Innovation. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-13-2262-4_313-1.

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Schelter, Nicole, and Dirk Veiel. "Towards a GenAI-Driven Architecture for Generating Personalized Embodiments of Intelligent Learning Assistants." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93567-1_11.

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Karthiga, M., P. Dhivya, S. S. Nandhini, and V. Santhi. "Robotic Assistants from Personalized Care to Disease Diagnosis and Treatment Plans in Healthcare Applications." In Computational Intelligence in Robotics and Automation. CRC Press, 2022. http://dx.doi.org/10.1201/9781003181668-2.

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Santofimia, Maria J., Xavier del Toro, Cristina Bolaños, Javier Dorado, and Sara Colantonio. "A Smart Mirror to Your Health: Personalized Virtual Coaching for Active and Healthy Ageing." In Intelligent Systems Reference Library. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84158-3_10.

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Abstract “Sara” represents a revolutionary approach in personalised care, embedded within a smart mirror to enable active and healthy ageing. This chapter examines the potential and developmental pathways of smart mirrors and their assistants, like Sara, highlighting their capacity to integrate advanced artificial intelligence and machine learning for personalised health solutions. Despite their promising capabilities, the application of smart mirrors in effective health monitoring and lifestyle management is still being developed. This chapter evaluates the essential technological advancement

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Misic, Dragan, and Milan Zdravkovic. "Overview of AI-Based Approaches to Remote Monitoring and Assistance in Orthopedic Rehabilitation." In Personalized Orthopedics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98279-9_18.

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Klee, Steven D., Beatriz Quintino Ferreira, Rui Silva, João Paulo Costeira, Francisco S. Melo, and Manuela Veloso. "Personalized Assistance for Dressing Users." In Social Robotics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25554-5_36.

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Heckmann, Martin, Heiko Wersing, Dennis Orth, and Dorothea Kolossa. "Assistance-on-demand – development of a speech-based, personalized left-turning assistant." In Proceedings. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19059-0_2.

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Rykowski, Jarogniew. "ACE Agents – Mass Personalized Software Assistance." In Multi-Agent Systems and Applications IV. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11559221_67.

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Guo, Xiaonan, Yan Wang, Jerry Cheng, and Yingying Chen. "Personalized Fitness Assistance Using Commodity WiFi." In Wireless Networks. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57345-3_3.

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Conference papers on the topic "Personalized Assistants"

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Bolla, Sreepal Reddy, and Krishnam Raju Narsepalle. "Reinforcement Learning for Self-Improving AI Chatbots in Personalized Assistants." In 2025 International Conference on Engineering, Technology & Management (ICETM). IEEE, 2025. https://doi.org/10.1109/icetm63734.2025.11051916.

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Srikrishnan, S., Ashwin Pushparaj, Advaith Suresh, Akash Krishnan Nair, Teena George, and Sharika T R. "Survey on Personalized Voice Assistant." In 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2024. http://dx.doi.org/10.1109/raics61201.2024.10690100.

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Hammer, James, Tanner Hobson, David Pugmire, Scott Klasky, Kenneth Moreland, and Jian Huang. "A Personalized AI Assistant For Intuition-Driven Visual Explorations." In 2024 IEEE 20th International Conference on e-Science (e-Science). IEEE, 2024. http://dx.doi.org/10.1109/e-science62913.2024.10678681.

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Jenitha, T., Mukesh Kumar M, and Kishor G. S. "Advanced Natural Language Processing for Personalized Voice Assistant Experiences." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011838.

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Orozco, Javier, Leonardo Rodríguez, Cesar Viloria-Nuñez, and Christian G. Quintero M. "MediBot: Intelligent virtual assistant for personalized medical care and guidance." In 2024 IEEE Technology and Engineering Management Society (TEMSCON LATAM). IEEE, 2024. http://dx.doi.org/10.1109/temsconlatam61834.2024.10717706.

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Reddy, A. R. Dhedeep, Shamil Saidu Mohamed, Cj Harini, and S. Ullas. "SmartKitch: AI-Powered Kitchen Inventory Management and Personalized Culinary Assistant." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11034836.

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Bharti, Harsh Bansal, Ayush Aryan, Aarav, Harsh Anjan Pathak, and Shubanker Devardhan Shukla. "An AI-Powered Mental Health Assistant for Personalized and Adaptive Care." In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS). IEEE, 2024. https://doi.org/10.1109/icpids65698.2024.00020.

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Hemalatha, K., V. Deepika, R. M Mallika, and Kona Mahesh Babu. "Large Language Model based Personalized Learning Assistant for Career-Oriented Skills." In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2024. https://doi.org/10.1109/scopes64467.2024.10990788.

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C, Esther, Kanisshka U. P, Ananya G. S, Tamizhmalar D, Elangovan V, and Ishan Raghavender N. "Biomedical Chat Assistant with Personalized Document Reader Using BioMistral and RAG." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11020219.

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Gokhale, Pranav, Sriharsha VVS, Viraj Kisan Daule, and Meena Belwal. "Voice-Activated Personalized Assistant with Raspberry Pi and Google API Integration." In 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2025. https://doi.org/10.1109/icaiss61471.2025.11041858.

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Reports on the topic "Personalized Assistants"

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Lindberg, Lars. Personalised Support and Services for Persons with Disabilities – mapping of Nordic models. Nordens välfärdscenter, 2021. http://dx.doi.org/10.52746/nqrb1733.

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In what way and how can models for personalised support such as personal budgeting strengthen the implementation of the UN Convention on the Rights of Persons with Disabilities? Personal budgeting refers to a sum of money that is granted to the individual on the basis of an assessment of the need for service and calculation of a budget for this purpose. The individual can buy the service he needs for his budget. Personal budgeting is in use in social and health care in several countries. In the Nordic region, personal assistance is the main example of such solutions, but other models have also

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Saing, Chan Hang, Phal Chea, and Sopheak Song. Assessing Technology Readiness of Students and Teachers in Cambodian Higher Education during COVID-19. Cambodia Development Resource Institute, 2023. https://doi.org/10.64202/wp.143.202311.

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The global COVID-19 pandemic brought unprecedented disruptions to the higher education landscape worldwide. Widespread school closures, driven by the imperative of social distancing to combat the virus's spread forced a rapid and dramatic shift from traditional face-to-face instruction to online learning and teaching environments in numerous countries. Recent research has highlighted the formidable challenges lower- and middle-income countries face, particularly those with weaker ICT infrastructures and less technology-ready teachers and students, when adapting to these new tech-enhanced teach

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