The age of conversational AI is here and it's completely redefining how organisations, employees and consumers are communicating with one another. Thanks to its ability to use natural language processing (NLP) to map spoken or written words to intent, conversational AI is no longer just a gimmick. Instead, conversational AI is making an impact across nearly every sector -- in our homes, cars, call centres, banks, online shops, and hospitals--and the use cases are growing. Combining complex NLP, cognitive learning abilities, autonomic task management, and emotional intelligence, conversational AIs can both learn from and respond to text or voice in an engaging, personalised and emotionally cognisant manner. The potential is immense and so it's unsurprising that recent research found that the global conversational AI market is expected to increase from $4.2 billion in 2019 to $15.7 billion by 2024.
Jonathan Lazar (email@example.com) is a professor of computer and information sciences and director of the Undergraduate Program in Information Systems at Towson University, Towson, MD, and recipient of the SIGCHI 2016 Social Impact Award. Elizabeth Churchill (firstname.lastname@example.org) is a director of user experience at Google, San Francisco, CA, and Secretary/Treasurer of ACM. Tovi Grossman (email@example.com) is a distinguished research scientist in the User Interface Research Group at Autodesk Research, Toronto, Canada. Gerrit C. van der Veer (firstname.lastname@example.org) is an emeritus professor of multimedia and culture at the Vrije Universiteit Amsterdam, the Netherlands, guest professor of human-media interaction at Twente University, Twente, the Netherlands, of human-computer and society at the Dutch Open University, Heerlen, Netherlands, of interaction design at the Dalian Maritime University, Dalian, China, and of animation and multimedia at the Lushun Academy of Fine Arts, Shenyang, China. Philippe Palanque (email@example.com) is a professor of computer science at Université Paul Sabatier Paul Sabatier – Toulouse III, France, and head of the Interactive Critical Systems research group of the IRIT laboratory, Toulouse, France. John "Scooter" Morris (firstname.lastname@example.org) is an adjunct professor in the Department of Pharmaceutical Chemistry at the University of California San Francisco and executive director of the Resource for Biocomputing, Visualization and Informatics, a U.S. National Institutes of Health Biomedical Technology Research Resource at the University of California San Francisco. Jennifer Mankoff (email@example.com) is a professor in the Human Computer Interaction Institute at Carnegie Mellon University, Pittsburgh, PA.
Modern consumers and modern government constituents are the same people. When they order something from Amazon or do their online banking, they increasingly expect those experiences to meet a higher standard of quality than they once did. The same holds true for their interactions with their local governments. In their eyes, if private companies offer advanced technology and convenient features, then logically, public institutions ought to do the same. Unfortunately, few city councils have anything that approaches the same budget as Amazon.
Abstract-- Automatic voice-controlled systems have changed the way humans interact with a computer. Voice or speech recognition systems allow a user to make a hands-free request to the computer, which in turn processes the request and serves the user with appropriate responses. After years of research and developments in machine learning and artificial intelligence, today voice-controlled technologies have become more efficient and are widely applied in many domains to enable and improve human-tohuman andhuman-to-computer interactions. The state-of-the-art e-commerce applications with the help of web technologies offer interactive and user-friendly interfaces. However, there are some instances where people, especially with visual disabilities, are not able to fully experience the serviceability of such applications. A voice-controlled system embedded in a web application can enhance user experience and can provide voice as a means to control the functionality of e-commerce websites. In this paper, we propose a taxonomy of speech recognition systems (SRS) and present a voice-controlled commodity purchase e-commerce application using IBM Watson speech-to-text to demonstrate its usability. The prototype can be extended to other application scenarios such as government service kiosks and enable analytics of the converted text data for scenarios such as medical diagnosis at the clinics. I. INTRODUCTION Voice recognition is used interchangeably with speech recognition, however, voice recognition is primarily the task of determining the identity of a speaker rather than the content of the speaker's speech .
In a world of rapidly advancing technology it's crucial to ensure companies and organizations are doing their best to make digital developments accessible to everyone. While browsing the internet, catching up on social media, or texting on mobile devices might seem like second nature to some, accessibility-related barriers prevent millions of people with disabilities from easily using basic forms of technology and, in some cases, even discourage them from going online. In 2012, Global Accessibility Awareness Day was launched to help highlight the need for increased digital accessibility. In recent years we've seen some amazing action taken -- from the creation of virtual marches, which give those with physical disabilities a place to protest online, to more advanced social media tools, like Facebook's face recognition and automatic alt-text tools, which help blind users and people with low vision better identify posts and people in photographs. But there's still a lot of room for improvement when it comes to disability inclusion.