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Introduction to Machine Learning
Published in Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier, Machine Learning, 2016
Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier
Google’s innovation “Google Now” is another landmark for machine learning world. It is a personal assistant with an element of smartness and intelligence in it. The functions of Google Now include answering questions, making recommendations, and performing actions by assigning requests to a set of web services. With it, users can use voice commands to create reminders and get help with trivia questions. The proactive program observes the search habits of the users and uses them to predict the information that may be useful for users and delivers it to them.
Can digital personal assistants persuade people to exercise?
Published in Behaviour & Information Technology, 2022
Jeni Paay, Jesper Kjeldskov, Elefterios Papachristos, Kathrine Maja Hansen, Tobias Jørgensen, Katrine Leth Overgaard
Porcheron et al. (2018) define a DPA as ‘embodying the idea of a virtual butler that helps you “get things done”’. The first well-known commercially available DPAs were on smartphones, for example, Siri and Google Now (today known as Google Assistant). The assistants evolved from being software-only programmes to having their own physical form, where we now have speaker devices such as Amazon Echo, Google Home, and Apple’s HomePod housing the digital assistants. In recent years, these physical devices have rapidly gained in popularity. In the US, 21% of the population now own at least one smart speaker, a 78% increase year over year, with 52% of owners using them daily (NPR 2019). Smart speaker ownership in the US rose 40% from 2018 to involve 66.4 million people and 133 million devices (Kinsella 2019). In 2019, China reached 10.6 million devices, a 500% increase from the previous year (Canalys 2019). Their most common use includes planning (e.g. to-do lists, calendars, reminders), searching for information (e.g. news, traffic, weather), controlling smart home accessories (e.g. lights, locks), and entertainment, such as streaming video, streaming music, and playing games (Kinsella 2019; Porcheron et al. 2018; Pradhan, Mehta, and Findlater 2018).
LIA: A Virtual Assistant that Can Be Taught New Commands by Speech
Published in International Journal of Human–Computer Interaction, 2019
The idea of a virtual assistant that can be operated by natural language speech has long-lived in science fiction literature, such as HAL 9000 from “2001: A Space Odyssey” (1968), the Ship’s computer in Star-Trek (1967), and The Brain from Escape! (1945). However, the first commercial virtual assistant did not emerge until 2011, when Apple came up with Siri (Bellegarda, 2014) that could perform some tasks by speech commands. Siri, was an offshoot from the CALO project starting in 2003 (Mark & Perrault, 2004) and is based on many years of research in the dialog system community (Wahlster & Kobsa, 1989). Soon later, additional virtual assistants have appeared, including Google Now and Google Assistant, Microsoft’s Cortana, and Amazon’s Echo. While some of these virtual assistants support APIs allowing developers to extend these virtual assistants’ capabilities, for the lame users these assistants are rigid and cannot be extended to supporting new tasks that they may require. This problem becomes more pronounced for commands that are very specific to a user, which developers may never support (due to the minimal deman
An Integrated Model of Voice-User Interface Continuance Intention: The Gender Effect
Published in International Journal of Human–Computer Interaction, 2019
Quynh N. Nguyen, Anh Ta, Victor Prybutok
A popular platform for VUIs is portable devices such as smartphones and tablets, which allow users to use VUIs for multiple tasks, such as searching, texting, making phone calls, or setting reminders. Mobile web search is rapidly growing as more people use their mobile devices to search for information. Searches performed on virtual assistants like Google Now, Siri, and Cortana increased from zero to 10% of overall search volume globally in just 1 year (Young, 2016). Multiple researches examined technological issues and users’ behavior of VRT in specific areas such as the U.S. Navy and in-vehicle infotainment system (Kim & Lee, 2016; Simon & Paper, 2007). However, a thorough review of the VUI literature shows no study examining user behavior on VUI in portable devices. The purpose of this article is to address the gap by investigating user intention to continue using VUI on mobile devices. This study investigates how students and young working professionals use VUI on smartphone devices, one of the most popular VUI platforms in use in modern society today. This sample represents a crucial subset of VUI users and, hence, makes our results more reliable and generalizable.