virtual assistance
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Information ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 41
Author(s):  
Guendalina Caldarini ◽  
Sardar Jaf ◽  
Kenneth McGarry

Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their application. In this survey we review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation.


2022 ◽  
pp. 88-97
Author(s):  
Aarti Saini ◽  
Rohan Bhalla

Transformation is being observed in almost every sphere of life. Industries accept technological advancements by accepting artificial intelligence and automation to improve the quality of products and services and to have errorless processes. The industry has a large number of human resources, and it functions on the concept of human touch, also known as the essence of hospitality; however, with the advent of artificial intelligence, fear of losing the human resources and human touch in the industry is paramount. The authors of the chapter detail the significance of the human touch in the tourism and hospitality industry. The chapter also highlights the usage of artificial intelligence in tourism through predictive analysis, travel experiences through virtual assistance, and the digital transformation tourism and hospitality have observed mainly in the coronavirus pandemic. It ends with a discussion on artificial intelligence in tourism and hospitality as support system for human resources or enhanced service quality and customer experience.


Author(s):  
Marlène E. C. Gilles ◽  
Elisabetta Bevacqua

Abstract Designed to improve human-machine interactions, virtual agents, and particularly virtual assistants (VAs), are spreading in our daily lives. Presenting a very wide variety of characteristics, studies generally report their own agent with its own characteristics and objective. So we can wonder if some of these characteristics are a consensus for VAs in general. Within this work, we aim to identify the agents' characteristics that should be considered when designing a virtual assistant promoting the best communication and cooperation between man and machine. We review the aspects of representation of the agent (embodied or not) and its ability to interact with the human being whether by speech or gestures, but also by displaying personality traits. This overview makes some focuses on virtual assistance of any kind embarked on vehicles.


Author(s):  
Guendalina Caldarini ◽  
Sardar Jaf ◽  
Kenneth McGarry

Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their application. In this survey we review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation


2021 ◽  
Author(s):  
Abhishek Bharti ◽  
Amardeep Kumar ◽  
Manonita Verma ◽  
Lochana Perera ◽  
Menka Yadav

2021 ◽  
Vol 4 (2) ◽  
pp. 251
Author(s):  
Fidiana Fidiana ◽  
Widhi Ariestianti ◽  
Endang Dwi Retnani ◽  
Dini Widyawati

Handicraft SMEs are one of the sectors affected by the Covid-19 pandemic. The implementation of this community service activity aims to offer the right expansion strategy for MSMEs affected by the Covid-19 pandemic. The scope of community service activities is limited to the Sukolilo Surabaya Handicraft SMEs. Some MSMEs have managed to survive and some have been less fortunate. The method of activity is to provide recommendations through virtual assistance activities through zoom and WhatsApp social media related to strategies to increase business and manage finances during the new normal era. The results of this community service activity include several MSMEs responding by diversifying their products and businesses. Second, partners with marketing problems have created accounts through the Instagram and Facebook applications and have participated in the exhibition agenda. Third, partners with financial problems have carried out simple financial management manually and using the SME Accounting application.


Author(s):  
Sakhawat Hossain ◽  
Md. Nahid Hasan ◽  
Md. Nazibul Islam ◽  
Mamunur Rashid Mukto ◽  
Md. Shahnewaz Abid ◽  
...  

Internet of Medical Things (IoMT) ensures the ability of healthcare professionals by allowing them to remotely access each patient’s personalized and accurate data. The accuracy, as well as the speed of treatments and diagnosis, is greatly improved as well. IoMT also enables healthcare professionals to monitor the status of their patients’ health in real-time. The behavior of people can be recorded with the intent of getting an online diagnosis, thus managing their one’s health is more effective. Tools like sensors and tracking devices, telemedicine, remote patient monitoring (RPM) and also virtual assistance makes these things happen. Perhaps healthcare professionals are mostly benefited by IoMT in their professions. So, in the case of a pandemic (COVID-19), our proposed application can spread the facilities of IoMT among the general people. The main purpose of this application is to make a system that compresses the number of coronavirus affected people by the extent of awareness. People can track data of confirmed, recovered, and fatal cases globally and locally through this app. People can also get information about the nearest COVID-19 hospitals with google map and get their helpline numbers. All these can be very important for Bangladesh, being a developing country. They can easily make doctor appointments through the system. People can get information about plasma & blood donation and they also can donate their blood and plasma by a requesting process. Users' information about their health can be saved in the cloud system from time to time so that a doctor can easily get all the information. So, our proposed app can help to control the COVID-19 pandemic situation and people will be benefited.


2020 ◽  
Author(s):  
Arfan Ahmed ◽  
Asmaa Hassan ◽  
Alaa A Abd-Alrazaq ◽  
Nashva Ali ◽  
Sarah Aziz ◽  
...  

BACKGROUND Apps and web-based chatbots can provide valuable and meaningful support to healthcare workers in assessing and guiding management of various health problems particularly when human resources are scarce. Despite poor adherence to such apps, chatbots can be cost-effective and efficient on-demand virtual assistants for various mental health conditions, including anxiety and depression. OBJECTIVE This study aims to review the features of chatbots currently available for individuals with suspected anxiety or depression. METHODS ACM digital library, IEEE, Google Scholar, Embase, Medline, and PsychINFO were the six bibliographic databases searched for conducting the review. We conducted backward and forward reference list checking of included studies. Study selection and data extraction were performed by two reviewers independently; two other individual reviewers justified cross-checking of extracted data. We utilized a narrative approach for synthesizing the data. RESULTS The initial search returned a total of 917 citations. A total of 32 studies remained on filtering the publications, which formed the final dataset for this scoping review. While most of the studies were from conference proceedings (69%, n=22), the remainder were either journal articles (16%, n=5), reports (9%, n=3), or book chapters (6%, n=2). Of the studies that developed an actual chatbot, 16% (n=7) were web based and 63% (n=20) stand-alone in the form of an app. The remainder were available on both platforms or were only conceptual ideas. About half of the reviewed chatbots had functionality targeting both anxiety and depression (56%, n=18), whereas 38% (n=12) targeted only depression, 3% (n=1) anxiety and the remaining addressed other mental health issues along with anxiety and depression like public speaking anxiety, stress, lack of motivation, negative emotion, nervousness. Input modality of most of the chatbots was written (84%, n=27), followed by spoken (25%, n=8) and visual imaging (9%, n=3). Despite the fact of increasing popularity of embodiment techniques in chatbots such as avatars were rarely used in these studies only 34% (n=11) CONCLUSIONS Recent research shows that mental health chatbots could be of benefit in helping patients with anxiety and depression and provide valuable support to mental healthcare workers, particularly when resources are scarce. They often provide virtual assistance where medical professionals are inaccessible or users need anonymous real-time personal virtual assistance. Their role in mental health care is expected to increase following the COVID-19 pandemic and its impact on mental health and wellbeing of the world population.


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