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Control Devices Using Google Assistant and IFTTT
Published in Anudeep Juluru, Shriram K. Vasudevan, T. S. Murugesh, fied!, 2023
Anudeep Juluru, Shriram K. Vasudevan, T. S. Murugesh
Google Assistant is an artificial intelligence (AI) powered virtual assistant developed by Google that is mainly available in mobile and smart home devices. Users primarily interacting with Google Assistant are interacted through voice commands using Ok Google or Hey Google wake words. If you are unable to convey the voice command properly or the Google Assistant cannot understand the command, then keyboard input can also be provided. Google Assistant can do almost any task on your smartphone like calling a friend, receiving a call, sending a message, reading a received message, playing songs or movies, booking a cab, scheduling a meeting, opening any app, searching online, unlocking devices, controlling smart home devices and many more. The Google Assistant Icon is depicted in Figure 16.1.
How to Design Audio-Gamification for Language Learning with Amazon Alexa?—A Long-Term Field Experiment
Published in International Journal of Human–Computer Interaction, 2022
Paula Bräuer, Athanasios Mazarakis
Many low-cost self-study tools exist to learn a foreign language, regardless of whether it is about reading or writing, but opportunities to practice speaking skills are far more limited (Ruan et al., 2021). IVAs can currently speak a variety of languages and can therefore be used as a language-learning tool. For example, Amazon Alexa is multilingual in nine languages (Develop Skills in Multiple Languages | Alexa Skills Kit, 2021), Google Assistant in 16 languages (Change the language of Google Assistant—Android—Google Nest Help, 2021), Siri is able to communicate in 21 different languages (IOS and IPadOS-Feature Availability, 2021), and the number of languages spoken by the assistants is constantly increasing. According to de Barcelos Silva et al.’s (2020) systematic literature review, education, in particular, could be a potentially relevant application area for IVAs, but it has not yet been sufficiently investigated.
How Do Illiterate People Interact with an Intelligent Voice Assistant?
Published in International Journal of Human–Computer Interaction, 2022
Thiago H. O. da Silva, Vasco Furtado, Elizabeth Furtado, Marilia Mendes, Virgilio Almeida, Lanna Sales
The research method developed in this article consisted of empirically evaluating the quality of human-IVA interactions in a sample stratified by level of education. The IVA chosen was Google Assistant available for the Android, iOS and Wear OS platforms. It acts as a task manager helping its users to perform various functions on their device, such as: making calls, creating reminders, sending messages, asking for recommendations of places and other possibilities (Google, 2020b). Google Assistant is also able to act as a home assistant, controlling smart devices compatible with it (such as a smart lamp) (Google, 2020b). Our research involved carrying out an experiment in a usability laboratory of the university where this research was being conducted. We carried out quantitative and qualitative analyzes based on the observation of people’s interactions with an IVA and the analysis of videos, audios and transcriptions of the interactions. This experiment with the defined target audience was approved by the university’s ethics board.
What If Artificial Intelligence Become Completely Ambient in Our Daily Lives? Exploring Future Human-AI Interaction through High Fidelity Illustrations
Published in International Journal of Human–Computer Interaction, 2023
Sunok Lee, Minha Lee, Sangsu Lee
The first is to consider the user-centered exterior of the AI system aligned with its personalized function. In our findings based on high-fidelity illustrations, various AI appearances were expressed in various ways according to users’ situations, needs, and characteristics. Based on the interaction with the tailored exterior AI, we discovered that users consider the appearance of the AI to be as important factor as the personalized function because it affects their first impression of the AI. In addition, potential users positively perceived the association between personalized functions and tailored exterior, as shown in the illustration. Previous research provides precedent that AI can personalize the user’s experience by learning from their actions over time for better human-AI interaction (Amershi et al., 2019). In addition, in studies that have analyzed the current AI use experience, current users expected that AI technologies should be personal and a personalized agent should provide customized information (Cho et al., 2019; Lee et al., 2020). Moreover, in the industry, Google Assistant provides personalized information through voice-detection (Google-Assistant, 2022). These types of AIs are embedded in multiple devices at households with consistent functions as personal assistants (Apple, 2011; Goggle-Assistant, 2016). Our results go beyond these: the personally owned AI’s exterior needs to be tailored considering the personalized functions. Currently, HCI designers and developers have rarely considered the appearance of AI when envisioning future interactions. However, as our findings suggest, they should consider not only personalized functions but also personalized exteriors suitable for the functions and users.