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Journal articles on the topic 'Ai assistant'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Hodson, Hal. "Meet your AI assistant." New Scientist 224, no. 3000-3001 (2014): 17. http://dx.doi.org/10.1016/s0262-4079(14)62426-x.

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Park, Soo Jin, Eun Ji Lee, Se Ik Kim, Seong-Ho Kong, Chang Wook Jeong, and Hee Seung Kim. "Clinical Desire for an Artificial Intelligence–Based Surgical Assistant System: Electronic Survey–Based Study." JMIR Medical Informatics 8, no. 5 (2020): e17647. http://dx.doi.org/10.2196/17647.

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Background Techniques utilizing artificial intelligence (AI) are rapidly growing in medical research and development, especially in the operating room. However, the application of AI in the operating room has been limited to small tasks or software, such as clinical decision systems. It still largely depends on human resources and technology involving the surgeons’ hands. Therefore, we conceptualized AI-based solo surgery (AISS) defined as laparoscopic surgery conducted by only one surgeon with support from an AI-based surgical assistant system, and we performed an electronic survey on the clinical desire for such a system. Objective This study aimed to evaluate the experiences of surgeons who have performed laparoscopic surgery, the limitations of conventional laparoscopic surgical systems, and the desire for an AI-based surgical assistant system for AISS. Methods We performed an online survey for gynecologists, urologists, and general surgeons from June to August 2017. The questionnaire consisted of six items about experience, two about limitations, and five about the clinical desire for an AI-based surgical assistant system for AISS. Results A total of 508 surgeons who have performed laparoscopic surgery responded to the survey. Most of the surgeons needed two or more assistants during laparoscopic surgery, and the rate was higher among gynecologists (251/278, 90.3%) than among general surgeons (123/173, 71.1%) and urologists (35/57, 61.4%). The majority of responders answered that the skillfulness of surgical assistants was “very important” or “important.” The most uncomfortable aspect of laparoscopic surgery was unskilled movement of the camera (431/508, 84.8%) and instruments (303/508, 59.6%). About 40% (199/508, 39.1%) of responders answered that the AI-based surgical assistant system could substitute 41%-60% of the current workforce, and 83.3% (423/508) showed willingness to buy the system. Furthermore, the most reasonable price was US $30,000-50,000. Conclusions Surgeons who perform laparoscopic surgery may feel discomfort with the conventional laparoscopic surgical system in terms of assistant skillfulness, and they may think that the skillfulness of surgical assistants is essential. They desire to alleviate present inconveniences with the conventional laparoscopic surgical system and to perform a safe and comfortable operation by using an AI-based surgical assistant system for AISS.
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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 (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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Hsieh, Sara H., and Crystal T. Lee. "Hey Alexa: examining the effect of perceived socialness in usage intentions of AI assistant-enabled smart speaker." Journal of Research in Interactive Marketing 15, no. 2 (2021): 267–94. http://dx.doi.org/10.1108/jrim-11-2019-0179.

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Purpose Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the internet but also can facilitate two-way conversations with individuals, thus resembling a human interaction. Although smart speakers have substantial implications for practitioners, the knowledge of the underlying psychological factors that drive continuance usage remains limited. Drawing on social response theory and the technology acceptance model, this study aims to elucidate the adoption process of smart speakers. Design/methodology/approach A field survey of 391 smart speaker users were obtained. Partial least squares structural equation modeling was used to analyze the data. Findings Media richness (social cues) and parasocial interactions (social role) are key determinants affecting the establishment of trust, perceived usefulness and perceived ease of use, which, in turn, affect attitude, continuance usage intentions and online purchase intentions through AI assistants. Originality/value AI assistant-enabled smart speakers are revolutionizing how people interact with smart products. Studies of smart speakers have mainly focused on functional or technical perspectives. This study is the first to propose a comprehensive model from both functional and social perspectives of continuance usage intention of the smart speaker and online purchase intentions through AI assistants.
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Akash Roshan and Meenu Garg, Dr Neha Agrawal. "Intelligent Voice Assisstant for Desktop using NLP and AI." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 328–31. http://dx.doi.org/10.46501/ijmtst061261.

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In the coming future, virtual assistants will automate nearly all of the manual and time-consuming tasks. This project is an implementation of an intelligent voice assistant for Windows which includes the functionality of security through facial recognition. Until this day, there has not been any good alternative for Windows, so this project aims to implement a voice assistant for the Windows platform while describing the difficulties and challenges that lies in this task.
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Yousefzadeh, Mehdi, Parsa Esfahanian, Seyed Mohammad Sadegh Movahed, et al. "ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans." PLOS ONE 16, no. 5 (2021): e0250952. http://dx.doi.org/10.1371/journal.pone.0250952.

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The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and the future of medical systems. In this study, we introduce ai-corona, a radiologist-assistant deep learning framework for COVID-19 infection diagnosis using chest CT scans. Our framework incorporates an EfficientNetB3-based feature extractor. We employed three datasets; the CC-CCII set, the MasihDaneshvari Hospital (MDH) cohort, and the MosMedData cohort. Overall, these datasets constitute 7184 scans from 5693 subjects and include the COVID-19, non-COVID abnormal (NCA), common pneumonia (CP), non-pneumonia, and Normal classes. We evaluate ai-corona on test sets from the CC-CCII set, MDH cohort, and the entirety of the MosMedData cohort, for which it gained AUC scores of 0.997, 0.989, and 0.954, respectively. Our results indicates ai-corona outperforms all the alternative models. Lastly, our framework’s diagnosis capabilities were evaluated as assistant to several experts. Accordingly, We observed an increase in both speed and accuracy of expert diagnosis when incorporating ai-corona’s assistance.
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S., Samruddhi, Abhinav A., Komal K., Swapnadip B., and Rahul M. "RIO: An AI based Virtual Assistant." International Journal of Computer Applications 180, no. 45 (2018): 10–15. http://dx.doi.org/10.5120/ijca2018917138.

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Kim, Sang-Gook, Sang Min Yoon, Maria Yang, Jungwoo Choi, Haluk Akay, and Edward Burnell. "AI for design: Virtual design assistant." CIRP Annals 68, no. 1 (2019): 141–44. http://dx.doi.org/10.1016/j.cirp.2019.03.024.

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Kaushik, Parth. "Next Generation AI based Virtual Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. 4 (2021): 505–8. http://dx.doi.org/10.22214/ijraset.2021.33663.

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Kishorekumar, Mr A., Mr E. Ezhilarasan, and Mr R. Parthiban. "Intelligent Drone based Personal Assistant using Artificial Intelligence AI." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 1618–21. http://dx.doi.org/10.31142/ijtsrd11482.

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Doshi, Ami, Ria Shah, Drasti Bhimani, Bhoomi Patel, and Swati Mali. "Donna - A web based AI Personal Assistant." International Journal of Computer Applications 175, no. 8 (2017): 7–12. http://dx.doi.org/10.5120/ijca2017915610.

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Harris, Mark. "AI assistant trawls papers for hidden info." New Scientist 228, no. 3046 (2015): 22. http://dx.doi.org/10.1016/s0262-4079(15)31554-2.

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Perdana, Rangga Putera, and Irwansyah Irwansyah. "Implementasi Asisten Virtual Dalam Komunikasi Pelayanan Pelanggan (Studi Kasus Pada Layanan Pelanggan Telkomsel)." Jurnal Komunikasi 11, no. 2 (2019): 183. http://dx.doi.org/10.24912/jk.v11i2.5491.

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The virtual assistant is basically a series of programming languages based on NLP (Natural Language Program) that allow users to talk and get responses in the form of replies from applications in the same way as what happens to other individuals. The purpose of this research is to know the form of implementation of virtual assistants in the field of customer service in Telkomsel. The method used in this research is descriptive qualitative by collecting data through interviews and literature studies. The results of this study explain the implementation of chatbot and AI technology in the Telkomsel virtual assistant. Even so, aspects of human resources still play a role in training AI to understand what is written by customers. The Telkomsel virtual assistant uses the Facebook Messenger, Line and Telegram social networks, and has been implemented on the Telkomsel website and the myTelkomsel application. The form of development that will be carried out is to add WhatsApp, make improvements to AI, migrate technology from version one to version three and collaborate with Google Assistant. Asisten virtual pada dasarnya merupakan serangkaian bahasa pemograman dengan basis NLP (Natural Language Program) yang memungkinkan pengguna untuk berbicara dan mendapatkan respon berupa balasan dari aplikasi dengan cara yang sama halnya dengan apa yang terjadi pada individu-individu lainnya. Tujuan dari penelitian ini adalah mengetahui bentuk implementasi asisten virtual dalam bidang pelayanan pelanggan di Telkomsel. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif dengan pengumpulan data melalui wawancara dan studi literatur. Hasil penelitian ini menjelaskan tentang implementasi teknologi chatbot dan AI pada asisten virtual Telkomsel. Walaupun begitu, aspek sumber daya manusia masih berperan dalam melatih AI untuk memahami apa yang dituliskan oleh pelanggan. Asisten virtual Telkomsel menggunakan jejaring sosial Facebook Messenger, Line dan Telegram, serta sudah terimplementasi pada situs web Telkomsel dan aplikasi myTelkomsel. Bentuk pengembangan yang akan dilakukan yaitu menambah WhatsApp, melakukan peningkatan pada AI, migrasi teknologi dari versi satu ke versi tiga dan melakukan kolaborasi dengan Google Assistant.
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Afanasieva, E. A. "ARTIFICIAL INTELLIGENCE-LAWYERʼS ASSISTANT OR ITS COMPETITOR?" Pravovedenie IAZH, № 1 (2021): 99–105. http://dx.doi.org/10.31249/rgpravo/2021.01.10.

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This review presents publications of foreign authors about the development of AI technologies and their use in the legal profession. The authors of these articles discuss the burning question: will AI substitute a human lawyer or not.
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Lalit Kumar. "Desktop Voice Assistant Using Natural Language Processing (NLP)." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 332–35. http://dx.doi.org/10.46501/ijmtst061262.

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Voice assistants are the great innovation in the field of AI that can change the way of living of the people in a different manner. the voice assistant was first introduced on smartphones and after the popularity it got. It was widely accepted by all. Initially, the voice assistant was mostly being used in smartphones and laptops but now it is also coming as home automation and smart speakers. Many devices are becoming smarter in their own way to interact with human in an easy language. The Desktop based voice assistant are the programs that can recognize human voices and can respond via integrated voice system. This paper will define the working of a voice assistants, their main problems and limitations. In this paper it is described that the method of creating a voice assistant without using cloud services, which will allow the expansion of such devices in the future.
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Kim, Jihyun, Kelly Merrill Jr., and Chad Collins. "AI as a friend or assistant: The mediating role of perceived usefulness in social AI vs. functional AI." Telematics and Informatics 64 (November 2021): 101694. http://dx.doi.org/10.1016/j.tele.2021.101694.

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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 (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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Heaven, Douglas. "Time to rinse! AI assistant helps clean your teeth." New Scientist 217, no. 2903 (2013): 24. http://dx.doi.org/10.1016/s0262-4079(13)60350-4.

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Raghavan, Rohith, Vishodhan Krishnan, Hitesh Nishad, and Bushra Shaikh. "Virtual AI Assistant for Person with Partial Vision Impairment." ITM Web of Conferences 37 (2021): 01019. http://dx.doi.org/10.1051/itmconf/20213701019.

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Smartphones help us with almost every activity and task nowadays. The features and hardware of the phone can be leveraged to make apps for online payment, content consumption, and creation, accessibility, etc. These devices can also be used to help and assist visually challenged and guide them in their daily activities. As the visually challenged sometimes face difficulty in sensing the objects or humans in the surroundings, they require guidance or help in recognizing objects, human faces, reading text, and other activities. Hence, this Android application has been proposed to help and assist people with partial vision impairment. The application will make use of technologies like face detection, object and text recognition, barcode scanner, and a basic voice-based chatbot which can be used to execute basic commands implemented through Deep Learning, Artificial Intelligence, and Machine Learning. The application will be able to detect the number of faces, recognize the object in the camera frame of the application, read out the text from newspapers, documents, etc, and open the link detected from the barcode, all given as output to the user in the form of voice.
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Kumar, Babu, Ajay Vikram Singh, and Parul Agarwal. "AI based Computational Trust Model for Intelligent Virtual Assistant." Journal of Information Systems and Telecommunication (JIST) 8, no. 32 (2021): 263–71. http://dx.doi.org/10.29252/jist.8.32.263.

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Abilev, D. N., and G. S. Dzhakipova. "The perspective of the use of artificial intelligence in the formation and control of modern and future urban areas." Bulletin of Kazakh Leading Academy of Architecture and Construction 80, no. 2 (2021): 309–13. http://dx.doi.org/10.51488/1680-080x/2021.2-13.

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With the development of technologies and their introduction into everyday life, there is also the possibility of their professional use in various industries and structures. The AI system is a virtual assistant, whose development every year can create a perfect model of urban control and a virtual assistant in helping people with many routine tasks. This article describes the prospects for using AI and examples of its development.
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Brachman, Ronald, David Gunning, and Murray Burke. "Integrated AI Systems." AI Magazine 41, no. 2 (2020): 66–82. http://dx.doi.org/10.1609/aimag.v41i2.5300.

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From Shakey the Robot to self-driving cars, from the personal computer to personal assistants on our phones, the Defense Advanced Research Projects Agency (DARPA) has led the development of integrated artificial intelligence (AI) systems for more than half a century. From the earliest days of AI, it was apparent that a robust, generally intelligent system should include a complete set of capabilities: perception, memory, reasoning, learning, planning, and action; and when DARPA initiated AI research in the 1960s, ambitious projects such as Shakey the Robot went after the complete package. As DARPA realized the challenges, they backed away from the ultimate goal of integrated AI and tried to make progress on the individual problems of image understanding, speech and language understanding, knowledge representation and reasoning, planning and decision aids, machine learning, and robotic manipulation. Yet, even as researchers struggled to make progress in these subdisciplines, DARPA periodically resurrected the challenge of integrated intelligent systems and pushed the community to try again. In the 1980s, DARPA’s Strategic Computing Initiative took on challenges of integrated AI projects such as the Autonomous Land Vehicle and the Pilot’s Associate. These did not succeed, but instead set the stage for the several decades of more siloed research that followed, until it was time to try again. In the 2000s, DARPA took on the integrated AI problem again with its Grand Challenges, which led to the first self-driving cars, and projects such as the Personalized Assistant that Learns, which produced Apple’s Siri. These efforts created complex, richly-integrated systems that represented quantum leaps ahead in machine intelligence. The integration of sophisticated capabilities in a fundamental way is the key to general intelligence. This is the story of DARPA’s persistent long-term support for this essential premise of AI
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Swanson, E. Burton. "Available to meet: advances in professional communications." Information Technology & People 33, no. 6 (2020): 1543–53. http://dx.doi.org/10.1108/itp-06-2019-0311.

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PurposeThis viewpoint paper calls in to question the current design approach to personal artificial intelligence (AI) assistance in support of everyday professional communications, where a bot emulates a human in this role. It aims to stimulate fresh thought among designers and users of this technology. It also calls upon scholars to more widely share incidental insights that arise in their own encounters with such new AI.Design/methodology/approachThe paper employs a case of an email exchange gone wrong to demonstrate the current failings of personal AI assistance in support of professional communications and to yield broader insights into bot design and use. The viewpoint is intended to provoke discussion.FindingsFrom the case, it is indicated that industrial-strength personal AI assistance is not here yet. Designing a personal AI assistant to emulate a human is found to be deeply problematic, in particular. The case illuminates what might be called the problem of blinded agency, in performative contexts where human, robotic and organizational identities are at least partially masked and actions, inactions and intentions can too easily disappear in a thick fog of digital exchange. The problem arises where parties must act in contexts not known to each other, and where who is responsible for what in a mundane exchange is obscured (intentionally or not) by design or by actions (or inactions) of the parties. An insight is that while humans act with a sense of agency to affect outcomes that naturally invoke a corresponding sense of responsibility for what transpires, bots in social interaction simply act and feign responsibility as they have no sense of it beyond their code and data. A personal AI assistant is probably best designed to communicate its artificiality clearly. Missing today are distinctive social conventions for identifying machine agency in everyday interactions as well as an accepted etiquette for AI deployment in these settings.Originality/valueAs a viewpoint contribution, the paper's value is as a stimulant to discussion of alternate approaches to design and use of personal AI assistance in professional communications and where we should be going with this. The presented case of an email exchange gone wrong is simple on the face of it but reveals in its examination a number of complexities and broader insights.
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Srivastava, Nayan. "A.I.- Smart Assistant." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 2384–87. http://dx.doi.org/10.22214/ijraset.2021.35553.

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Artificial Intelligent is widely used when it comes to everyday life. Computer science explains AI research as a study of brilliant agents. Every In almost any direction one turns to today, some computer-based information processing technology intervention, whether by a person knowingly or not. Artificial Intelligence has already changed our way of life. A device that we can see in its nature and take action increases its chances of success goals. Input to the recommendations algorithm can be a file for user database and items, and careless removal will be recommendations. User to install in the system by voice or text. This paper presents a new approach to it. All over the world, many people use the assistant. This paper introduces visual applications an assistant that helps to give humanity a chance at various domains. This paper also describes the annoyance of using visual assistant technology.
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Harris Kumar, D., and V. Renga Boss. "A Study on Recent Trends in Artificial Intelligence." Shanlax International Journal of Management 6, no. 4 (2019): 33–35. http://dx.doi.org/10.34293/management.v6i4.373.

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An effective personal assistant should have adaptability, judgment, and technical, team player, customer service & communication skills, from the olden days personal assistant has been assigned to look after a team. A personal assistant (PA) usually carries out administrative work on behalf of one individual. The role of a PA is to free an executive’s time from organizing and administrative tasks so that they can spend maximum time on strategic tasks. Now we are living in the technological emerging world, physical personal assistants are replaced by the virtual assistant, they can be in the form of small device or robots and even it can be a contract that is signed over the Internet that assists in the day to day tasks performed by the human. Artificial intelligence plays an important role in a virtual assistant.
 One common characterization of intelligent computation is based on the ability to solve a problem. Types of problems requiring intelligence include inference based on acquiring knowledge, reasoning, and acting with uncertain or incomplete information, various forms of perception and learning, and applications to problems such as control, prediction, classification, and optimization. The second characterization of AI computation is based on the underlying mechanism for biological processes it is used to arrive a solution. The primary variant of this category is neural networks and genetic algorithms. This view of AI is necessary even if such techniques are used to compute things that don’t appear intelligent in the way of computing. In this article the current trend of Artificial intelligence has been discussed.
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Li, Chen, and Hong Ji Yang. "Bot-X: An AI-based virtual assistant for intelligent manufacturing." Multiagent and Grid Systems 17, no. 1 (2021): 1–14. http://dx.doi.org/10.3233/mgs-210340.

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In light of recent trends toward introducing Artificial Intelligence (AI) to enhance the Human Machine Interface (HMI), companies need to identify the key issues of the communication between operator and production machines. Despite the fact that the industrial company starts to introduce chatbots to assist the communication between humans and machines, the virtual assistant (or digital assistant) by using human natural language is still widely required in the manufacturing domain. In this paper, we introduce an AI-based virtual assistant, Bot-X, for the manufacturing industry to handle a variety of complex services, e.g., order processing, production execution. This work expands the idea in three directions. Firstly, we introduce the design motivation of Bot-X, e.g., knowledge boundary in the manufacturing context. Secondly, the design principle of Bot-X is presented, including the framework, system architecture, model architecture, and the core algorithm. Then, three scenarios are presented to test the Bot-X usability and flexibility regarding the manufacturing environment.
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Costa, Pedro, and Luísa Ribas. "AI becomes her: Discussing gender and artificial intelligence." Technoetic Arts 17, no. 1 (2019): 171–93. http://dx.doi.org/10.1386/tear_00014_1.

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Abstract This article seeks to understand why femininity seems to be often present in artificial intelligence and tackle the questions that arise when this phenomenon is subject to closer inspection. It draws on a previous study on the relationship between gender and AI, complemented by an analysis of digital assistants such as Alexa, Cortana, Google Assistant and Siri that reveals how these entities tend to be feminized through their anthropomorphization, the tasks that they perform and their behavioural traits. Furthering this discussion, this article addresses current trends of development of digital assistants and their stance towards gender, considering the functions or features that are being prioritized in AI evolution. It then focuses on the main questions raised by researchers and academics when examining the phenomenon and confronts these views with discussions around the feminization of AI in the context of online media coverage. This debate also highlights how common conceptions of AI and its portrayals of gender are influenced by bodies of fiction. Finally, the project Conversations with ELIZA seeks to comment on this phenomenon by ironically exposing and reinforcing common stereotypes and gender assumptions. In this manner, this study seeks to incite reflection on how artificial intelligence is reflecting our social and cultural views back to us.
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Lee, One-Ki Daniel, Ramakrishna Ayyagari, Farzaneh Nasirian, and Mohsen Ahmadian. "Role of interaction quality and trust in use of AI-based voice-assistant systems." Journal of Systems and Information Technology 23, no. 2 (2021): 154–70. http://dx.doi.org/10.1108/jsit-07-2020-0132.

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PurposeThe rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption. Design/methodology/approachThe authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach. FindingsThe results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs. Originality/valueThis research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with AI-based VASs. Contribution to Impact
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Brézillon, Patrick. "From expert systems to context-based intelligent assistant systems: a testimony." Knowledge Engineering Review 26, no. 1 (2011): 19–24. http://dx.doi.org/10.1017/s0269888910000366.

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AbstractThis paper presents a personal interpretation of the evolution of artificial intelligence (AI) systems during these last 25 years. This evolution is presented along five generations of AI systems, namely expert systems, joint cognitive systems, intelligent systems, intelligent assistant systems, and the coming generation of context-based intelligent assistant systems. Our testimony relies on different real-world applications in different domains, especially for the French national power company, the subway companies in Paris and in Rio de Janeiro, in medicine, a platform for e-maintenance, road safety, and open sources. Our main claim is to underline that the next generation of AI systems (context-based intelligent assistant systems) requires a radically different consideration on context and its relations with the users, the task at hand, the situation, and the environment in which the task is accomplish by the user; the observation of users through their behaviors and not a profile library; a robust conceptual framework for modeling and managing context; and a computational tool for representing in a uniform way pieces of knowledge, of reasoning, and of contexts.
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Thorne, Sarah. "Hey Siri, tell me a story: Digital storytelling and AI authorship." Convergence: The International Journal of Research into New Media Technologies 26, no. 4 (2020): 808–23. http://dx.doi.org/10.1177/1354856520913866.

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Surveying narrative applications of artificial intelligence in film, games and interactive fiction, this article imagines the future of artificial intelligence (AI) authorship and explores trends that seek to replace human authors with algorithmically generated narrative. While experimental works that draw on text generation and natural language processing have a rich history, this article focuses on commercial applications of AI narrative and looks to future applications of this technology. Video games have incorporated AI and procedural generation for many years, but more recently, new applications of this technology have emerged in other media. Director Oscar Sharp and artist Ross Goodwin, for example, generated significant media buzz about two short films that they produced which were written by their AI screenwriter. It’s No Game (2017), in particular, offers an apt commentary on the possibility of replacing striking screenwriters with AI authors. Increasingly, AI agents and virtual assistants like Siri, Cortana, Alexa and Google Assistant are incorporated into our daily lives. As concerns about their eavesdropping circulate in news media, it is clear that these companions are learning a lot about us, which raises concerns about how our data might be employed in the future. This article explores current applications of AI for storytelling and future directions of this technology to offer insight into issues that have and will continue to arise as AI storytelling advances.
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Kocaballi, A. Baki, Kiran Ijaz, Liliana Laranjo, et al. "Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners." Journal of the American Medical Informatics Association 27, no. 11 (2020): 1695–704. http://dx.doi.org/10.1093/jamia/ocaa131.

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Abstract Objective The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design from the perspective of general practitioners. Materials and Methods Co-design workshops with general practitioners were conducted. The workshops focused on (1) understanding the current consultation context and identifying existing problems, (2) ideating future solutions to these problems, and (3) discussing future roles for AI in primary care. The workshop activities included affinity diagramming, brainwriting, and video prototyping methods. The workshops were audio-recorded and transcribed verbatim. Inductive thematic analysis of the transcripts of conversations was performed. Results Two researchers facilitated 3 co-design workshops with 16 general practitioners. Three main themes emerged: professional autonomy, human-AI collaboration, and new models of care. Major implications identified within these themes included (1) concerns with medico-legal aspects arising from constant recording and accessibility of full consultation records, (2) future consultations taking place out of the exam rooms in a distributed system involving empowered patients, (3) human conversation and empathy remaining the core tasks of doctors in any future AI-enabled consultations, and (4) questioning the current focus of AI initiatives on improved efficiency as opposed to patient care. Conclusions AI documentation assistants will likely to be integral to the future primary care consultations. However, these technologies will still need to be supervised by a human until strong evidence for reliable autonomous performance is available. Therefore, different human-AI collaboration models will need to be designed and evaluated to ensure patient safety, quality of care, doctor safety, and doctor autonomy.
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Maduwantha, Milan Chamara, and V. N. Vithana. "“MumCare”: An Artificial Intelligence Based Assistant." International Journal of Electrical and Computer Engineering Research 1, no. 1 (2021): 21–28. http://dx.doi.org/10.53375/ijecer.2021.25.

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Bringing a new life to the world is a wonder to every mother. Experience faced by pregnant mothers vary from one pregnancy to another pregnancy. There is a vast amount of information available on the Internet and printed materials. Yet, this knowledge is too complex or lengthy and very few applications provide customized information to pregnant mothers. In a time where smart phones have become a necessity in our life, a mobile app is one of the easiest ways to obtain prenatal information. Hence, we have developed a mobile application to help pregnant mothers. This application includes an artificial intelligence (AI) based chatbot. AI chat bot communicates and guides the mother in a way that creates the illusion as if they are talking to their unborn child. The Spiral Model was used as the development methodology and the application was developed in an environment of continuous integration and deployment with GIT personal repository. This application was implemented using React Native and the Node.js. Chat bot was created with Dialogflow agent and integrated with the firebase through the Google cloud functions. Some existing applications were studied to identify the features and limitations of current pregnancy care mobile applications. This solution is realistic and successful and it has an upgradable model of growth. The rapid development of the Internet and mobile devices in the world has changed people's lifestyles. This mobile app will be helpful for pregnant mothers living in rural as well as in metropolitan areas alike and can enhance education and health.
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Oinas, R., and A. Halme. "Reasoning Assistant - An AI System Supporting Rational Experimentations of Fermentation Processes." IFAC Proceedings Volumes 25, no. 2 (1992): 419–24. http://dx.doi.org/10.1016/s1474-6670(17)50406-1.

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Ma, Jun, Xuejing Feng, Zaiyan Gong, and Qianwen Zhang. "The Design Definition and Research of In-Car Digital AI Assistant." Journal of Physics: Conference Series 1802, no. 3 (2021): 032096. http://dx.doi.org/10.1088/1742-6596/1802/3/032096.

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Alsadoon, Reem. "Chatting with AI Bot: Vocabulary Learning Assistant for Saudi EFL Learners." English Language Teaching 14, no. 6 (2021): 135. http://dx.doi.org/10.5539/elt.v14n6p135.

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In the AI field of language learning, chatterbots are an interesting area for language learning and practice. This research investigates Arabic EFL vocabulary learning using an interactive storytelling chatterbot. A chatterbot was created and equipped with four vocabulary tools: a dictionary, images, an L1 translation tool, and a concordancer. The target words were enhanced by these tools to provide the learners with interactive comprehensible input. This project seeks to identify which tools are mostly used when EFL learners are practicing English with a chatterbot. It also seeks to determine which tool could help most in vocabulary learning as well as retention. The results of the study indicate that the dictionary is the most favoured and effective tool for vocabulary learning. For retention, the findings uncover that L1 translation is slightly (but insignificantly) higher than the dictionary.
  
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Rahimunnisa, K., Atchaiya M., Brindhhiniy Arunachalam, and V. Divyaa. "AI-based smart and intelligent wheelchair." Journal of Applied Research and Technology 18, no. 6 (2020): 362–67. http://dx.doi.org/10.22201/icat.24486736e.2020.18.6.1351.

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The differently abled and/or old-aged people require assistance for their movement. Generally, such assistant providing tool is wheelchair. Normal wheelchairs are manually operated and heavy to move adding burden to the suffered. Hence, automated wheelchairs that are equipped with sensors and a data processing unit constitute a special class of wheeled mobile robots, termed as “smart wheelchairs” in general. In the existing system, the wheelchair movement that is controlled by joystick uses buttons to start and stop the wheel. This is difficult for the differently abled to press the required button with precision. Although there are smart wheelchairs with gesture control, it lacks accuracy in the calculation of the location. The proposed system uses artificial intelligence for its working and proves to be a unique combination of wheelchair and health monitoring system. The wheelchair can be accessed both in manual and automatic modes. In the manual mode, the wheel is controlled using joystick whereas in the automated mode, MPU6050 sensor and accelerometer is used to control the direction by gesture. SPO2 sensor attached to the wheelchair is used to collect the health parameters. Thus, enabling the self-dependency of the person. Further, deep learning analysis of the data from the sensors and the wheelchair usage pattern is compared with the dataset to determine the stress level. The signal from the sensors is monitored and the vitals data is updated in the ThingSpeak website via Bluetooth module serving as a digital health chart.
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Xu, Rui, Dan Long, Jia Liu, Wanghong Yu, and Lei Xu. "Intelligent Assistant Decision-Making Method for Power Enterprise Customer Service Based on IoT Data Acquisition." Mobile Information Systems 2021 (August 6, 2021): 1–10. http://dx.doi.org/10.1155/2021/7100610.

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The prevailing era of the Internet of Things (IoT) has renewed all fields of life in general, but, especially with the advent of artificial intelligence (AI), has drawn the attention of researchers into a new paradigm of life standards. This revolution has been accepted around the world for making life comfortable with the use of intelligent devices. AI-enabled machines are more intelligent and capable of completing a specific task which saves a lot of time and resources. Currently, diverse methods are available in the existing literature to handle different issues of real life based on AI and IoT systems. The role of decision-making has its prominence in the AI-enabled and IoT systems. In this article, an AI- and IoT-based intelligent assistant decision-making method is presented for power enterprise customer service. An intelligent model of the customer service data network is designed, and the method of collecting data from IoT to assist decision-making is presented. Then, the semantic relationship of customer service data is defined, and the sharing scope of data transmission and resources are determined to realize intelligent assistant decision-making of customer service in power enterprises. Simulation results show that the proposed method improves the decision data transmission speed and shortens the transmission delay, and the network performance of data interaction is better than that of the existing methods.
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Duguleană, Mihai, Victor-Alexandru Briciu, Ionuț-Alexandru Duduman, and Octavian Mihai Machidon. "A Virtual Assistant for Natural Interactions in Museums." Sustainability 12, no. 17 (2020): 6958. http://dx.doi.org/10.3390/su12176958.

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Artificial Intelligence (AI) and its real-life applications are among the most effervescent research topics of the last couple of years. In the past decade, stakeholders such as private companies, public institutions, non-profit entities, and even individuals, have developed and used various AI algorithms to solve a wide range of problems. Given the extended applicability and the disruption potential of this technology, it was just a matter of time until it connected to the field of cultural heritage. This paper presents the development of an intelligent conversational agent which was built to improve the accessibility to information inside a history museum. We present the cultural context, the application architecture, the implementation challenges, and the visitors’ feedback. We created a smart virtual agent that interacts with users in natural spoken language. This involved the design and implementation of the artificial intelligence-based core responsible for understanding the Romanian language. A short survey regarding the tourist acceptance of the system was conducted at the premises of our partners, the Museum “Casa Mureșenilor” from Brașov, shows good acceptance levels from both visitors and museum staff. Given the flexibility of the implementation, the system can be used by a large array of stakeholders with minor modifications.
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C., Soriano-Úbeda, Matás C., and García-Vázquez FA. "An overview of swine artificial insemination: Retrospective, current and prospective aspects." Journal of Experimental and Applied Animal Sciences 1, no. 1 (2013): 67. http://dx.doi.org/10.20454/jeaas.2013.709.

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Assistant reproduction technologies are in constant evolution, among them the artificial insemination (AI). AI has been successfully used in pigs for decades, especially to improve boar efficienc and productivity. Lately, swine AI has taken on a new lease of life since efficient AI is essential for solving future challenges in the porcine industry and to enhance productivity. The present paper summarizes several factors concerning AI, starting with an overview of some physiological aspects including the female reproductive tract and sperm transport, as well as sperm losses during insemination and uterus sperm selection. Strategies developed to reduce the number of sperm during the AI process, are also reviewed, along with their combination with new reproductive technologies for application in pig production in the near future.
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Markowitz, Clyde E., Mary D. Hughes, Daniel D. Mikol, Lisa Shi, MerriKay Oleen-Burkey, and Douglas R. Denney. "Expanded Disability Status Scale Calculator for Handheld Personal Digital Assistant: Reliability Study." International Journal of MS Care 10, no. 2 (2008): 33–39. http://dx.doi.org/10.7224/1537-2073-10.2.33.

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Through a standard neurological examination, the Expanded Disability Status Scale (EDSS) score is traditionally determined by a pen-and-paper method. The objectives of this study were to compare the interrater/method reliability of EDSS scores obtained through the pen-and-paper method with those obtained with the EDSS Calculator, evaluate test-retest reliability of the EDSS Calculator, and examine the validity of EDSS Calculator scores through correlation with the Ambulation Index (AI). During a single office visit, 62 subjects with multiple sclerosis (MS) from six study centers had disability levels evaluated by separate raters using the EDSS calculator and pen-and-paper methods in random order. Seven days later, subjects returned for reevaluation with the EDSS Calculator; AI was also evaluated. Mean EDSS scores for the sample were 3.5 ± 2.2 with the calculator and 3.4 ± 2.0 (range 0–8) with the traditional method. Interrater reliability between scores with the two methods was high (κ = 0.84; confidence interval [CI], 0.74–0.94). Test-retest reliability with the calculator was also high (κ = 0.93; CI, 0.86–0.996). Correlation between disability scores from the EDSS Calculator and AI was 0.73 (P <.001). Relative to the pen-and paper method, the EDSS Calculator was found to be highly reliable and provide valid results when measuring disability in MS patients.
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Fitria, Tira Nur. "Grammarly as AI-powered English Writing Assistant: Students’ Alternative for Writing English." Metathesis: Journal of English Language, Literature, and Teaching 5, no. 1 (2021): 65. http://dx.doi.org/10.31002/metathesis.v5i1.3519.

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<p class="AbstractText">The presence of ‘Grammarly’ as one of the online grammar checkers as the impact of technology development. This paper aims to reveal an overview of ‘Grammarly’ as an AI-powered English Writing Assistant for EFL students in Writing English. This research applies descriptive qualitative research. Based on the analysis, using Grammarly software shows the performance increased. Before using Grammarly, the performance of the test score is 34 out of 100. After using Grammarly, the performance text score is 77 out of 100. This score shows the quality of writing in this text increased. The performance can be increased based on Grammarly's suggestions in a Premium account. The researcher recommends the students to use Grammarly. Grammarly is a web tool to perform grammar checks well, starting from the spelling of words, sentence structure to standard grammar. Grammarly is free, so it is recommended for students who want to check various documents or articles in English. Grammarly helps check the grammatical rule, the spelling rule in English structure, also correct errors in writing such as punctuation and capitalization. Grammarly runs on an Artificial Intelligence (AI) system, which is built to analyze English sentences relying on a set of rules. Grammarly takes context when showing corrections or suggestions, and inform the students quickly but still precisely. For accuracy, two service options available both free and paid features. Of course, the Grammarly free version still has limitations and in-service features, unlike the paid version (premium) which has full advantages and benefits, many features, and complete.</p>
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Parikh, Soham, Quaizar Vohra, and Mitul Tiwari. "Automated Utterance Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 08 (2020): 13344–49. http://dx.doi.org/10.1609/aaai.v34i08.7047.

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Conversational AI assistants are becoming popular and question-answering is an important part of any conversational assistant. Using relevant utterances as features in question-answering has shown to improve both the precision and recall for retrieving the right answer by a conversational assistant. Hence, utterance generation has become an important problem with the goal of generating relevant utterances (sentences or phrases) from a knowledge base article that consists of a title and a description. However, generating good utterances usually requires a lot of manual effort, creating the need for an automated utterance generation. In this paper, we propose an utterance generation system which 1) uses extractive summarization to extract important sentences from the description, 2) uses multiple paraphrasing techniques to generate a diverse set of paraphrases of the title and summary sentences, and 3) selects good candidate paraphrases with the help of a novel candidate selection algorithm.
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Anshu Kumar Singh, Dr.Bhoomi Gupta. "ML Based Virtual Personal Assistant." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 66–72. http://dx.doi.org/10.46501/ijmtst061213.

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The menial helper is shrewd programming installed in Smartphones and other associated gadgets that demonstrations like an individual right hand by helping you moderate your numerous assignments so you can focus on the more significant things. Savvy help is the need in the journey for an innovatively ahead society. With quite a rationale, our Virtual Assistant framework is proposed. The essential thought is to guarantee the security of individual data of clients and offer exact help for different day by day parts of living through a basic yet incredible framework. Such a framework utilizes Deep Learning Algorithms to accumulate results and fundamental chatterbot frameworks to go about as an ideal ally for humans. The assistant is prepared to build up its own awareness of the content, and you can show it how to speak with individuals. On the other hand, you can educate the assistant through film exchange or play contents. Be that as it may, a human-to-human discussion is a favored method to make the most ideal profound learning assistant. Keep in mind, the more information you have, the better the viability of AI will be.
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Chen, Te Fu. "Applying Artificial Intelligence in CRM: Case Studies of Intelligent Virtual Agents and Pegasystems." Applied Mechanics and Materials 182-183 (June 2012): 878–82. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.878.

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It is highly technical and specialized for AI research, and deeply divided into subfields that often fail to communicate with each other. Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems, longstanding differences of opinion about how AI should be done and the application of widely differing tools. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. Currently, in the form of applications of AI, is slowly making its way out of laboratories into the mainstream market. The study reviews AI and CRM, the evolution of CRM: XRM, the applications of AI in CRM including customer support automation, automated online assistant and online and telephone customer service. Finally, the study examines the applications of AI in CRM via two case studies of Intelligent Virtual Agents (IVAs) and Pegasystems to link the theories and practices.
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Linan-Reyes, Matias, Joaquin Garrido-Zafra, Aurora Gil-de-Castro, and Antonio Moreno-Munoz. "Energy Management Expert Assistant, a New Concept." Sensors 21, no. 17 (2021): 5915. http://dx.doi.org/10.3390/s21175915.

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In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed the creation of a high-performance and easy-to-manage expert system (ES). It has been developed in a framework that includes, on the one hand, the efficient energy management functionality boosted with an Internet of Things (IoT) platform, where artificial intelligence (AI) and big data treatment are blended, and on the other hand, an assistant that interacts both with the user and with the HEMS itself. The creation of this ES has made it possible to optimize consumption levels, improve security, efficiency, comfort, and user experience, as well as home security (presence simulation or security against intruders), automate processes, optimize resources, and provide relevant information to the user facilitating decision making, all based on a multi-objective optimization (MOP) problem model. This paper presents both the scheme and the results obtained, the synergies generated, and the conclusions that can be drawn after 24 months of operation.
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Guthro, Clem. "Artificial Unintelligence: How Computers Misunderstand the World by Meridith Broussard." Journal of Intellectual Freedom & Privacy 3, no. 2-3 (2019): 13. http://dx.doi.org/10.5860/jifp.v3i2-3.6776.

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Broussard, an assistant professor at New York University’s Arthur L Carter Journalism Institute, has written an accessible book on Artificial Intelligence’s (AI) grip on people’s imagination. In twelve short chapters, she lays out a cautionary narrative on the limits of AI and technology in general. Her book joins several other recent volumes that attempt to show the limits of AI and the ethical implications of wholesale and blind adoption of AI to solve the world’s problems. These include M. Tegmark. Life 3.0: Being Human in the Age of Artificial Intelligence, 2018; J. Aoun. Robot-Proof: Higher Education in the Age of Artificial Intelligence, 2017; M. Boden. Artificial Intelligence: A Very Short Introduction, 2018; and H. Collins. Artifictional Intelligence: Against Humanity’s Surrender to Computers, 2018.
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47

Smith, Adam M., and Daniel Shapiro. "Teaching Game AI as an Undergraduate Course in Computational Media." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 09 (2020): 13404–11. http://dx.doi.org/10.1609/aaai.v34i09.7064.

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We need to teach AI to students in and outside of traditional computer science degree programs, including those designer-engineer hybrid students who will design and implement games or engage in technical games research later. The need to rethink AI curriculum is pressing in a design education context because AI powers many emerging practical techniques such as drama management, procedural content generation, player modeling, and machine playtesting. In this paper, we describe a 5-year experimental effort to teach a Game AI course structured around a broad and expanding set of roles AI can play in game design (e.g., Adversary and Actor, as well as Design Assistant and Storyteller). This course sets up computer science and computer game design students to transform practices in the game industry as well as create new forms of media that were previously unreachable. Our students gained mastery over the relevant techniques and further demonstrated (via novel prototype systems) many new roles for AI along the way.
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Väänänen, Antti, Keijo Haataja, Katri Vehviläinen-Julkunen, and Pekka Toivanen. "Proposal of a novel Artificial Intelligence Distribution Service platform for healthcare." F1000Research 10 (March 26, 2021): 245. http://dx.doi.org/10.12688/f1000research.36775.1.

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In this paper, we focus on presenting a novel AI-based service platform proposal called AIDI (Artificial Intelligence Distribution Interface for healthcare). AIDI proposal is based on our earlier research work in which we evaluated AI-based healthcare services which have been used successfully in practice among healthcare service providers. We have also used our systematic review about AI-based healthcare services benefits in various healthcare sectors. This novel AIDI proposal contains services for health assessment, healthcare evaluation, and cognitive assistant which can be used by researchers, healthcare service provides, clinicians, and consumers. AIDI integrates multiple health databases and data lakes with AI service providers and open access AI algorithms. It also gives healthcare service providers open access to state-of-the-art AI-based diagnosis and analysis services. This paper provides a description of AIDI platform, how it could be developed, what can become obstacles in the development, and how the platform can provide benefits to healthcare when it will be operational in the future.
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Kim, Heyoung, Dong Kwang Shin, Hyejin Yang, and Jang Ho Lee. "A study of AI chatbot as an assistant tool for school English curriculum." Korean Association For Learner-Centered Curriculum And Instruction 19, no. 1 (2019): 89–110. http://dx.doi.org/10.22251/jlcci.2019.19.1.89.

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Khan, Muiz Ahmed, Pias Paul, Mahmudur Rashid, Mainul Hossain, and Md Atiqur Rahman Ahad. "An AI-Based Visual Aid With Integrated Reading Assistant for the Completely Blind." IEEE Transactions on Human-Machine Systems 50, no. 6 (2020): 507–17. http://dx.doi.org/10.1109/thms.2020.3027534.

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