Implementasi Amazon ECHO DOT Berbasis RASPBERRY Pi Pada Ruang Kelas

Amazon echo-smart speaker merupakan salah satu devais Internet of Things (IoT) yang dikembangkan oleh amazon yang sangat potensial penggunaannya karena ada di mana-mana dan mode operasi yang selalu aktif. Amazon Echo secara khusus memainkan peran penting dalam intelligent virtual assistant (IVA) Alexa berbasis cloud yang dikembangkan oleh Amazon Lab126. Smart speaker nirkabel yang diaktifkan Alexa adalah pintu gerbang untuk semua perintah suara yang dikirimkan ke Alexa. Sedangkan Raspberry Pi adalah credit card size computer yang dapat digunakan untuk menjalankan program perkantoran, permainan komputer, dan sebagai pemutar media hingga video beresolusi tinggi. Pada penelitian ini akan membahas implementasi amazon echo dot berbasis raspberry pi pada ruang kelas

Implementasi Amazon ECHO DOT Berbasis RASPBERRY Pi Pada Ruang Kelas

Amazon echo-smart speaker merupakan salah satu devais Internet of Things (IoT) yang dikembangkan oleh amazon yang sangat potensial penggunaannya karena ada di mana-mana dan mode operasi yang selalu aktif. Amazon Echo secara khusus memainkan peran penting dalam intelligent virtual assistant (IVA) Alexa berbasis cloud yang dikembangkan oleh Amazon Lab126. Smart speaker nirkabel yang diaktifkan Alexa adalah pintu gerbang untuk semua perintah suara yang dikirimkan ke Alexa. Sedangkan Raspberry Pi adalah credit card size computer yang dapat digunakan untuk menjalankan program perkantoran, permainan komputer, dan sebagai pemutar media hingga video beresolusi tinggi. Pada penelitian ini akan membahas implementasi amazon echo dot berbasis raspberry pi pada ruang kelas

Assistant Suite

This project was conducted to demonstrate a voice-to-mechanical application from one source to multiple platforms with the use of hardware-to-software technology. The main platforms that are used for implementation is an Amazon Echo Dot, which serves as the voice interceptor to transcribe speech through integrated software hosted within the Amazon Web Services (AWS) cloud network, and a Raspberry Pi microcontroller, which serves as the device which controlled mechanical movements based on what is transcribed from the Echo. The user can speak a command into the Echo to control the movement of one of two RC cars without any physical engagement. The Echo utilizes Wi-Fi to connect to the AWS cloud network to transcribe the speech, which then goes through a series of channels to communicate with a microcontroller that is connected to its own RC car to cause that selected RC car to move in a specified direction. For example, the user can speak a command that says “Alexa, move car A forward for two seconds,” and this will translate to the selected car to motion forward for a total of two seconds. The project also displays the usefulness of being able to speak to multiple microcontrollers connected to separate devices under a single application; this caters to the convenience of not having to close and open separate applications every time a different connection is needed.https://scholarscompass.vcu.edu/capstone/1193/thumbnail.jp

An Exploratory Study On Consumer Perceptions Of Amazon Echo, Alexa, And Smart Speakers

The Internet of Things has become a compelling topic of the past decade. Smart Speakers, like Amazon Echo, have become a mainstream product over the past few years. By exploring the consumer perceptions of Amazon and these “Internet of Things” products, we can better curate the marketing mix to serve the needs and values of customers. Through an exploration of various demographics via an online survey, we sought to uncover specific perceptions of consumers in regards to Amazon Echo and Alexa, while also analyzing differences between these demographics so that Amazon can further understand how to create value for their customers

A survey on security analysis of Amazon echo devices

Since its launch in 2014, Amazon Echo family of devices has seen a considerable increase in adaptation in consumer homes and offices. With a market worth millions of dollars, Echo is used for diverse tasks such as accessing online information, making phone calls, purchasing items, and controlling the smart home. Echo offers user-friendly voice interaction to automate everyday tasks making it a massive success. Though many people view Amazon Echo as a helpful assistant at home or office, few know its underlying security and privacy implications. In this paper, we present the findings of our research on Amazon Echo’s security and privacy concerns. The findings are divided into different categories by vulnerability or attacks. The proposed mitigation(s) to the vulnerabilities are also presented in the paper. We conclude that though numerous privacy concerns and security vulnerabilities associated with the device are mitigated, many vulnerabilities still need to be addressed

Programming an intelligent personal assistant for biomedical database analysis

Amazon Echo is a hands-free speaker controlled by voice. Our goal is to program Alexa, the intelligence behind Echo, to analyze biomedical database such as patients characteristics in order to obtain future successful predictions. This will be done by creating a custom skill for Alexa based on python programming language

The Amazon Echo: Usability Evaluation

Background: The Amazon Echo is a home assistant device which allows people to interact verbally with online software tools or smart home devices and electronics. The purpose of this study was to test the usability of the device by conducting a variety of user-centered analyses. Method: Researchers performed a usability heuristics evaluation to gain an understanding of the system’s features and functions from a top-down perspective. An Out of Box Experience (OOBE) was conducted to capture users’ attitude of the device. Next, several tasks were performed which represent users\u27 everyday interactions with these devices. Participants then completed the system usability scale (SUS) to rate their experience. Results: Time on task was measured to analyze quantitative data and participants were asked to rate the difficulty of each task. Preliminary results indicate a setup time of approximately five minutes. Microsoft product reaction cards were used to capture initial and post-trial reactions to the device. Easy to use and efficient are two common terms appearing in the participant\u27s explanation of their feeling towards using the device. Conclusions: By collecting this information, our research team can paint an entire picture explaining benefits and flaws encountered by users and experts alike

Alexa and the Making of the Neoliberal Ear

Smart home device Amazon Echo, equipped with a voice assistant named Alexa, is a new ear within the home, gathering previously inaccessible sounds of the domestic sphere. Devices such as Echo are constantly ‘on’ and listening, but whether Echo is always recording is subject to speculation and ambiguity. In this article, I use Echo to theorise sonic surveillance through what I term the ‘neoliberal ear’– a twenty-first century mode of listening to the world embedded into ‘surveillance capitalism.’ (Zuboff 2019) I examine the relationship between non-creative recording practices and voice-enabled technology within the context of neoliberalism and its legislative allowances. Conceptualizing Amazon Echo as a complex sonic object that listens to voices in the domestic space in order to gather information on the subjectivity of its users while normalizing the ubiquity of listening in, I investigate the surveillance capabilities of the device, and conduct a sound studies analysis of dispossession and displacement in surveillance capitalism, which I argue are rooted in the split between listening and recording in US copyright law. To discuss Echo’s legal ground, I focus on a murder case in which Echo was requested as evidence, considering the specificity of sound within privacy law, and analysing the relationship between Echo and the First and Fourth Amendment of the US Constitution. I view these sonic theorisations of the US legal framework as an initial step to form a neoliberal history of aurality through the conception of the neoliberal ear