Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
17
result(s) for
"Intelligent personal assistants (Computer software)"
Sort by:
Genius makers : the mavericks who brought A.I. to Google, Facebook, and the world
\"New York Times Silicon Valley beat reporter Cade Metz has an insider's perspective on the greatest tech story of our time--a story that no one else has been in a position to tell\"-- Provided by publisher.
Springer Nature computing video
In the era of COVID-19, online customer engagement has rapidly increased, causing most organizations to transform their engagements with consumers to increase their online presence. This video will provide you with an introduction to conversational AI and the key concepts needed to design an effective conversational AI solution for users. It will help you identify prospective conversational AI engagement, showing the benefit through the use of a variety of real world cases and examples.
Streaming Video
Voice applications for Alexa and Google Assistant / Dustin Coates ; foreword by Max Amordeluso
In 2018, an estimated 100 million voice-controlled devices were installed in homes worldwide, and the apps that control them, like Amazon Alexa and Google Assistant, are getting more powerful, with new skills being added every day. Great voice apps improve how users interact with the web, whether they're checking the weather, asking for sports scores, or playing a game. \"Voice applications for Alexa and Google Assistant\" is your guide to designing, building, and implementing voice-based applications for Alexa and Google Assistant. You'll learn to build applications that listen to users, store information, and rely on user context, as you create a voice-powered sleep tracker from scratch. With the basics mastered, you'll dig deeper into multiuse conversational flow and other more-advanced concepts. Smaller projects along the way reinforce your new techniques and best practices.
Book
The perturbing contribution of virtual assistants to mediatization: The case of Alexa
This study examines the role of voice-based assistants (VBAs), specifically Alexa, in the mediatization paradigm framework. The authors hypothesize that emerging technologies such as chatbots and VBAs intensify the process of online meta-reintermediation of news. Three research questions were investigated through a questionnaire administered to 655 university students in the US and Italy: Do participants try to get news from Alexa? Are participants aware that VBAs represent a case of meta-reintermediation of news? Does Alexa contribute to the potential hybridization of news, information, and knowledge? The analysis of 451 open-ended answers showed that only a fraction of participants search for news and information from Alexa, and most are unaware of the meta-reintermediation process. However, the use of Alexa contributes to the potential hybridization of news, information, and knowledge, making the mediatization process increasingly complex and hard to decipher by users.
Journal Article
Alexa
\"Whether you'll use Alexa to send text messages, play music, control your thermostat, look up recipes, replenish your pantry, or just search the internet for information, you'll find detailed instructions in this fun and easy-to-understand guide. Amazon's hugely popular family of Echo devices has made Alexa a household name. She can answer your questions, entertain you, and even help around the house. Alexa for Dummies is the perfect guide for Alexa users who want to get up and running with their Echo devices. From basic setup to making the most of Alexa's powerful smart home capabilities, this is your one-stop resource to all things Alexa. Set up and personalize your Alexa device with an Amazon account and custom settings, including your preferred Alexa voice. Use Alexa to play music throughout your home, stream videos online, and meet all your entertainment needs. Unlock the power of advanced features like Alexa Skills and make your Alexa accessible. Turn your ordinary house into a modern smart home with advanced smart home features and Echo accessories. The virtual assistant you've dreamed of is now a reality with your favorite Echo device.\"--Publisher's description.
Book
Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training
As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responders. It is critical that medical first responders are well trained to deal with emergencies more effectively. This would require real-time monitoring and feedback for each trainee. Therefore, we introduced a voice-based SA to augment the training process of medical first responders and enhance their performance in the field. The potential benefits of SAs include a reduction in training costs and enhanced monitoring mechanisms. Despite the increased usage of voice-based personal assistants (PAs) in day-to-day life, the associated effects are commonly neglected for a study of human factors. Therefore, this paper focuses on performance analysis of the developed voice-based SA in emergency care provider training for a selected emergency treatment scenario. The research discussed in this paper follows design science in developing proposed technology; at length, we discussed architecture and development and presented working results of voice-based SA. The empirical testing was conducted on two groups as user studies using statistical analysis tools, one trained with conventional methods and the other with the help of SA. The statistical results demonstrated the amplification in training efficacy and performance of medical responders powered by SA. Furthermore, the paper also discusses the accuracy and time of task execution (t) and concludes with the guidelines for resolving the identified problems.
Journal Article
Get going with Amazon Echo and Alexa : in easy steps
\"The days of only being able to search for items on computers using text searches are long gone: voice search is rapidly becoming one of the most popular ways to find content on computing devices and the Web. One of the leaders in this area is the Amazon Echo, a high-quality speaker which uses Alexa ... to perform a range of tasks from playing music and making calls to smartphones, to answering questions and even controlling compatible devices in the home, such as turning on the heating ... [This book] leads you through the process of setting up the Amazon Echo, connecting it to your home wifi network and then controlling much of its functionality, so that you can start making the most of your digital personal assistant\"--ONIX annotation.
Book
The secret genius of modern life. Season 1, Episode 3, Virtual assistant
Hannah Fry delves into the inner workings of virtual assistants.
Streaming Video
Building a Virtual Assistant for Raspberry Pi
Build a voice-controlled virtual assistant using speech-to-text engines, text-to-speech engines, and conversation modules.This book shows you how to program the virtual assistant to gather data from the internet (weather data, data from Wikipedia, data mining); play music; and take notes.
eBook
Context-Aware Adaptive Applications: Fault Patterns and Their Automated Identification
Applications running on mobile devices are intensely context-aware and adaptive. Streams of context values continuously drive these applications, making them very powerful but, at the same time, susceptible to undesired configurations. Such configurations are not easily exposed by existing validation techniques, thereby leading to new analysis and testing challenges. In this paper, we address some of these challenges by defining and applying a new model of adaptive behavior called an Adaptation Finite-State Machine (A-FSM) to enable the detection of faults caused by both erroneous adaptation logic and asynchronous updating of context information, with the latter leading to inconsistencies between the external physical context and its internal representation within an application. We identify a number of adaptation fault patterns, each describing a class of faulty behaviors. Finally, we describe three classes of algorithms to detect such faults automatically via analysis of the A-FSM. We evaluate our approach and the trade-offs between the classes of algorithms on a set of synthetically generated Context-Aware Adaptive Applications (CAAAs) and on a simple but realistic application in which a cell phone's configuration profile changes automatically as a result of changes to the user's location, speed, and surrounding environment. Our evaluation describes the faults our algorithms are able to detect and compares the algorithms in terms of their performance and storage requirements.
Journal Article