Google Assistant Research Articles

Implementation of Sensors in IOT Application

In the past few decades, the importance of the Internet of things (IOT) has emerged in various fields. It is a technology that connects the Internet to all devices that are incapable to connect to the Internet. Therefore, this paper aims to provide convenient realization of sensors in the IOT system. The idea based on the start of the IOT, as it is a modern idea that combines ease of work and development, in the company of itself and benefitting of limited communications such as short message service (SMS) and broad communications such as wireless fidelity (WIFI), toward ensure robust and applicable sensors that can be serve the community in several aspects, predominantly people with special needs. The system uses Arduino, event stream processing (ESP), sensors and global system for mobile (GSM) to control devices. The system is simulated by using an electronic circuit via Google assistant and messages application.

Hey Google? When patients consult Dr Google about tendinopathy; an analysis of search terms and questions from four English speaking regions across six tendons

Hey Google? When patients consult Dr Google about tendinopathy; an analysis of search terms and questions from four English speaking regions across six tendons

Electrical Devices Control System Using Google Assistant

This paper designed to develop an electrical devices control system using Google Assistant which can control the electrical on/off operations with voice via smartphone to increase the comfort, modernity, and safety from electric shock in the case touching switch on/off buttons directly. The design used the speaker Google home mini as the voice command in English from the smartphone via Google Assistant and direct voice commands; The commands were created on the IFTTT web, the NodeMCU ESP8266 board used to connect between hardware and software, as well as the processing and sending logic commands to change the relay status to control the electric devices and also use the Tuya S08 remote transceiver to control the operation of the air conditioner via Google Assistant. The results of the design and experiments showed that the system can control the electrical equipment as according to the goals and objectives set, including lights, fan, and air conditioner. Blynk APP and Google assistant can control the turn on/off the device at anywhere and anytime. in terms of system mobile must be connected to the Internet. For control with the Google home mini speaker only (without a smartphone) can be controlled at a distance of 10 meters and (also dependenting on the level of the sound that we order. In addition, in the case of air conditioning control, the Tuya S08 transmitter can be placed up to 8 meters away from the air conditioner to be controlled. The results showed that designed systems are more likely to be applied to provide comfort, safety and enable people who are unable to help themselves to walk around to turn on/off electrical devices such as the elderly or disabled person.

Hey Google, I trust you! The consequences of brand anthropomorphism in voice-based artificial intelligence contexts

Users’ increasing adoption of voice assistant services is fostering the growth of a novel strand of marketing research on the branding implications of brand anthropomorphism (BA). However, the branding outcomes of brand anthropomorphization in this research area remain underinvestigated. Accordingly, in the name-brand voice assistant (NBVA) interaction field, this study tests a model of the consequences of brand anthropomorphism, outlining the relationships among brand anthropomorphism, brand trust, and multidimensional consumer–brand engagement (CBE), i.e., the relevant cognitive, affective, and behavioral dimensions, as well as the moderating role of perceived privacy risk. A survey of young adults shows that brand anthropomorphism positively affects brand trust as well as the affective and behavioral dimensions of CBE. Furthermore, perceived privacy risk positively moderates the relationship between brand anthropomorphism and brand trust. Specifically, the influence of brand anthropomorphism on brand trust is strengthened at higher levels of perceived privacy risk. This article thus enriches the understanding of brand anthropomorphism and user VA response by exploring underresearched branding outcomes of BA in the context of NBVA interaction.

Hey Google!: Can IPA improve L2 Learners' Willingness to Communicate?

The willingness and determination to engage in communication can result in real communication actions, which, in turn, contribute to improved oral proficiency. As digital media and communication technologies continue to advance rapidly, EFL students are becoming more engaged in practising English through various digital platforms. Recent research has been conducted to examine the connection between second language willingness to communicate (L2 WTC) and these digital language learning experiences. The recent study aims to address the use of Google Assistant as an intelligent personal assistant in providing the learning and practice of speaking for EFL learners to speak English fluently. Specifically, the recent objective is to analyse the implementation of Google Assistant in enhancing their willingness to communicate in the target language.

Design and Build a System for Turning on an IoT-Based Motorcycle Starter Using Voice

Motorcycles require maintenance, especially on the engine, by always heating the motorcycle before use or when not in use. However, sometimes someone is lazy to warm up the motorcycle engine. The aim is to make it easier for users to warm up the motorcycle engine to avoid damage to the engine and make it easier for motorcycle users if the electric starter on the motorbike is damaged. Research using the IoT-based google assistant uses NodeMCU 8266 connected to an Android smartphone to start motorbikes automatically. Based on the research results this tool can function properly. The conclusion of the study is that the motorcycle starter system with a smartphone control system can avoid damage to the motorcycle engine, and makes it easier for users to start the motorcycle if the electric starter is damaged.

Hey Google, What is in the News? The Influence of Conversational Agents on Issue Salience

The emerging use of Conversational Agents (CAs), such as Google Assistant, highlights the role of algorithmic gatekeeping power in news consumption. However, our knowledge of the effects of CAs on shaping the public’s perception of the most important topics (issue salience) is limited. To investigate this, we conducted a seven-day longitudinal survey in the Netherlands, comparing the most important issues reported by users (N = 352) across various channels, including CAs, social media, and news websites. Our aim was to analyze how CAs influence the transfer of issue salience from the channel to the user. While our hypotheses were not supported, different patterns emerged. Users consuming news through CAs exhibited a have a lower probability of agreeing on the most important issues in the Netherlands compared to participants consuming information on social media and news websites. This suggests that news consumption through CAs may offer less shared context compared to other channels. Furthermore, trust in the channel and attention to the news were found to be significant predictors of agreement on issue salience. These findings raise important questions for further research, particularly regarding the impact and democratic role of CAs within the broader news ecosystem.

AI-WEAR: SMART TEXT READER FOR BLIND/VISUALLY IMPAIRED STUDENTS USING RASPBERRY PI WITH AUDIO-VISUAL CALL AND GOOGLE ASSISTANCE

The goal of this research is to create a prototype referred to as AI-WEAR: Smart Text Reader for Blind or Visually Impaired Students, which utilizes Raspberry Pi equipped with Audio-Visual Call and Google Assistance. The prototype incorporates various functionalities including text-to-speech capability for reading, Google assistance for online support, and video streaming through Jitsi Meet, enabling students to interact with their teachers. The device offers two modes of control: voice commands and user-friendly buttons with Braille letters engraved on them. OCR (Optical Character Recognition) and Text-to-Speech are integrated into the system. Synthesis techniques on the Raspberry Pi platform. By utilizing OCR, the device scans and extracts text, which is then converted into audio output through a headset. Additionally, the device employs GSM/GPRS technology to access the internet via cellular data when Wi-Fi connectivity is unavailable. The researcher employed the Long-Short Term Memory and Image processing algorithms in this project, and extensive testing and maintenance have been conducted, resulting in favourable evaluation outcomes. The prototype has successfully met the desires of the ISO/IEC 25010 standard. Although some adjustments may be necessary, this proposed device has significant potential to provide visually impaired individuals with innovative learning opportunities, especially in distance education settings. Furthermore, a cost-comparative analysis for future mass production of this assistive prototype tool for blind and visually impaired has been conducted.

Hey Google! Intelligent personal assistants and well-being in the context of disability during COVID-19.

Amidst the greatest technological advancement that societies have seen, the (health)care and quality of life of all, and especially of vulnerable individuals, see unprecedented improvements. Intelligent personal assistants (IPAs), such as Google Home (GH), can easily be implemented in their daily lives to facilitate routines. Technology can offer significant benefits for individuals with impairments and/or limitations in achieving greater autonomy and well-being. However, this opportunity still needs to be fully exploited, especially in long-term care facilities. Furthermore, such potential may be particularly needed during social isolation due to health concerns, such as the COVID-19 lockdowns and restrictions. We investigated the validity of implementing GH in residential care for individuals with visual impairments (VIs) and intellectual disabilities (IDs) and assessed the effects of a 10-week intervention on self-reported well-being. We used a mixed-methods multiple case studies approach (N=7) and performed intensive assessments (20weeks), including self-report well-being questionnaires and observations focusing on well-being, autonomy, social participation and GH experiences. Nonoverlap of all pairs analyses were performed for quantitative data indexing performance differences between intervention phases. Thematic analysis was performed for the qualitative data. We found meaningful improvements in well-being in five clients, while all rated the experience of using GH positively. Our findings from the quantitative and qualitative analyses document that individuals with VI and/or ID benefit from IPAs in fostering better autonomy by facilitating access to information and entertainment. Further implications and possible barriers to large-scale implementation of IPAs in residential care are discussed.

Inaudible Attack on AI Speakers

The modern world does not stand still. We used to be surprised that technology could speak, but now voice assistants have become real family members. They do not simply turn on the alarm clock or play music. They communicate with children, help solving problems, and sometimes even take offense. Since all voice assistants have artificial intelligence, when communicating with the user, they take into account the change in their location, time of day and days of the week, search query history, previous orders in the online store, etc. However, voice assistants, which are part of modern smartphones or smart speakers, pose a threat to their owner’s personal data since their main function is to capture audio commands from the user. Generally, AI smart speakers such as Siri, Google Assistance, Google Home, and so on are moderately harmless. As voice assistants become versatile, like any other product, they can be used for the most nefarious purposes. There are many common attacks that people with bad intentions can use to hack our voice assistant. We show in our experience that a laser beam can control Google Assistance, smart speakers, and Siri. The attacker does not need to make physical contact with the victim’s equipment or interact with the victim; since the attacker’s laser can hit the smart speaker, it can send commands. In our experiments, we achieve a successful attack that allows us to transmit invisible commands by aiming lasers up to 87 m into the microphone. We have discovered the possibility of attacking Android and Siri devices using the built-in voice assistant module through the charging port.

Google Assistant Assisted Language Learning (GAALL): ESL Learners’ Perception and Problem towards AI-powered Google Assistant-Assisted English Language Learning

The New-fangled strategy called Artificial Intelligence (AI) Assisted Language Learning (AI-ALL) incorporates Google Assistant (GA) to support the learning activities of learners. At present, it is considered Google Assistant Assisted Language Learning (GAALL). For many years, academicians have been exploring ways to use AI for tasks that are related to education. The major objectives of this study are to emphasize 1) The ESL learners' perceptions of using AI-powered Google Assistant for learning the English language; 2). The ESL learners’ problems are concerned with utilizing AI-powered Google Assistant to support language learning, especially in English. A survey instrument was employed to the data, including primary research objects, from (n = 141) engineering stream undergraduates. The data was gathered using a questionnaire with 5 points Likert scale. According to the survey, the vast majority of students, especially individuals who were learning English, had a positive opinion of AI-driven GA. The major problem is the lack of quality in GA on smartphones. However, it is envisaged that AI-powered GA in language learning, also known as GAALL, would be deployed as one of the instructional media that might help learners to learn English efficiently as a Second Language. This study suggests that further research studies in this field could be conducted to test the efficacy of AI in ESL contexts.

Energy Saving with Google Assistance and PIR Sensor

Abstract—This document is introduction to Energy conservation is the idea of using less energy. Turning off the light and fan when you leave the room, unplugging appliances when they’re not in use prefer walking instead of using vehicle for shorter distance are such examples of energy conservation.Our project is all about the first example mentioned above,we have made a Prototype of controlling light and fan through sensing our motion,using google voice and turning on/off the light and fan manually when not required .our project can be controlled by Google assistant as well it is an additional point to project which makes it more efficient and practical to be used by people nowadays and our main motto of energy conservation is also satisfied.

COST EFFICIENT FIVE WAY HOME AUTOMATION WITH FEEDBACK SYSTEM

This paper presents the concept of home automation with feedback system using Google assistant, IR remote, Blynk app, Alexa and Manual switches. Automating of any thing has a very large scope for the coming generation and now. These days, technology follows the user wherever they go, and the automation industry is greatly influenced by mobile technology. This work is primarily based on low-cost, effective home automation systems for mobile Android device remote control of appliances with this technology, we can create a smart house at a minimal cost while also raising the standard of living there and saving time and human effort. And also, the concept of smart home is very helpful for providing support to physically disabled people to fulfil their needs in home so they can lead a life like a normal person. This system's components include an Android phone, an ESP32 controller controlled by the Blynk app, an IR remote, manual relay controls, Google Assistant, Alexa, and a real-time feedback system Wi-Fi is being used in this case to monitor the home automation system because of it has high precision, long range and immediate connectivity. This automation module is very simple to install and easy to use, and it regulates the home appliances. Keywords – ESP32 board, IR remote, Relay module, Google assistant, Alexa, Realtime feedback.

Mark-Virtual Friend using Python

In the present era life has become smarter and more advanced. We are already familiar with some voice services like Google assistant, Siri and Alexa etc. Now in our voice support system, it can work like automatic chrome, opens youtube from a web browser, and sign into the gmail account and helps in locking the window. Mark works by entering voice and rendering voice output and displaying text on the screen. Our project's main agenda is to make work easier by delivering faster results with a computer. It compares voice input with our microphones and processes the given commands and provides necessary solutions and answers that users ask the microphone and processes the given commands and provides necessary solutions and answers that users ask. Speech Recognition translates inputted voice into text enables communication with the computer.

Amelioration of Google Assistant – A Review of Artificial Intelligence Stimulated Second Language Learning and Teaching

Artificial Intelligence (AI) has become an undeniable technological innovation in our world. The usability of AI-powered applications has gradually increased in all fields. In need of change and adaptability in life, many AI tools have been developed to accomplish certain tasks faster. AI-featured Intelligent Personal Assistant (IPA) applications like Google Assistant (GA), Alexa, Siri, Cortona, and Bixby are involved in the process of helping humankind to achieve certain actions in a faster mode. The evolvement of Industry 4.0 and Education 4.0 triggers, as well as, challenges the language curriculum to adapt AI-based applications to engage in second language learning. Among all the above-mentioned AI-featured applications, Google Assistant predominantly involves in language learning and teaching. The main objective of this paper is to review the Al-powered Google Assistant for teaching and learning languages. It specifically reviews and examines the study on the use of Google Assistant in terms of teaching and learning a language. The approach used to evaluate the articles pulled from pertinent databases is the qualitative research method, especially content analysis. The findings of the study show that there are four distinct patterns in which AI-powered Google Assistant is used to teach and learn languages. The endorsement of AI-powered Google Assistant and pedagogy based on it proves that it is very helpful for second language acquisition.

The impact of intelligent personal assistants on learners’ autonomous learning of second language listening and speaking

ABSTRACT Research has revealed the positive impact of intelligent personal assistants (IPAs) on L2 learners’ oral development and learning attitude. These studies, however, focused mostly on the in-class use of IPAs, with existing research on the out-of-class use being exploratory. To fill the gap of lacking empirical investigations on IPA-based autonomous second language learning (ASLL), this study recruited 34 college EFL learners to use Google Assistant (GA) in their respective homes for six weeks and examined their listening and speaking development afterwards. Each week, participants received an email about the new commands for them to explore, and half of them were additionally given sustained teacher guidance (i.e. weekly evaluation forms) on the usefulness of each command to better enhance their participation. Statistical analysis on the participants’ learning gains demonstrated that participants receiving weekly evaluation forms made significant improvement in both listening and speaking skills, and they even outperformed those without weekly evaluation forms in their oral development. Nevertheless, there was no significant difference in the two groups’ listening gains. These findings demonstrate that, with sustained teacher guidance, IPAs have great potential in L2 oral development in ASLL context, but more long-term studies on IPAs’ impact for L2 listening should be conducted.

Breakdown of Machine Learning Algorithms

Machine Learning (ML) is a technology that can revolutionize the world. It is a technology based on AI (Artificial Intelligence) and can predict the outcomes using the previous algorithms without programming it. A subset of artificial intelligence is called machine learning (AI). A machine may automatically learn from data and get better at what it does thanks to machine learning. “If additional data can be gathered to help a machine perform better, it can learn. A developing technology called machine learning allows computers to learn from historical data. Machines can predict the outcomes by machine learning. For Nowadays machine learning is very important for us because it makes our work easy. to many companies are using machine learning in their products, like google is using google its google assistant, which takes our voice command and gives what do we want from it, and google is also using its goggle lens form which we can find anything just by clicking a picture, and Netflix is using machine learning for recommendation of any movies or series, Machine learning has a very deep effect on our life, like nowadays we are using selfdriving car’s.

A Review Paper on Google Assistance Based Consumer Vacuum Suction Dusting Robot

Abstract: In modern days as automation is taking place thereby reducing the time required for doing household chores that results in increasing time utilization for other stuffs. One of such automated device is Vacuum Cleaner. While vacuum cleaners have made life easier in household chores, they are noisy as well as bulky. Hence it is required to improve the technology of vacuum cleaning to overcome these deficiencies. Here, is an attempt to achieve the same objective to develop a compact and efficient vacuum cleaner robot for office and home use. The proposed robot is disk-shaped, controlled by NodeMCU and work on Google voice command. The proposed system comprises of Node MCU, motor driving IC L239D, DC motors and IR sensor. Node MCU will be controlling the entire operation with the help of control signals, motors along with the help of motor driving IC will be helping in motion of the robot in any direction and IR sensors will be helping in detection of barriers for the navigation of the robot. To provide the commands to the robot we will make use of Google Assistant which can engage in two way communication. The PCB designing will be done with the help of Diptrace PCB design software and the programming part will be done with the Arduino IDE programming software. As the robot is working on voice commands it won’t be involving human efforts and time thereby making it a fully autonomous robot.

Hey Google: Does Environmental Beliefs and Perceived Privacy Risk Influence Potential User’s Intention to Use a Smart Home System in Indonesia?

Automation technology has grown in a rapid pace recently. One of the technology that is growing rapidly right now is the Internet of Things or IoT. IoT consist of many devices, and one of the IoT device that are popular right now is called the smart home device. This smart home device can be use to make the house of the user be smart and can be use to save energy for efficiency for the daily life of the user, such as electricity and water that kan provide a negative impact on the environment if used extensively. This smart home device can help to make the energy expense much more efficient. Therefore, this study aims to see and examine the relation between pro-environmental behavior (environmental beliefs and concern), the moderating variable of materialism, perceived privacy risk and trust that can influenced the intention to use of smart home device. This study is an empirical study with quantitative research method. The respondent used in this study is live in Jabodetabek, age above 18 years old, tech savvy, and know the concept of smart home technology but does not have the smart home device. The sample use in this study are 294 samples. The data collected was tested using and analyzed using SEM with LISREL 8.5. The result of the research shows that environmental concern, perceived usefulness, and trust has a positive and significant effect towards intention to use smart home device. For the relationship between environmental beliefs and environmental concern, it was also has positif and significant effect. The result also shown that perceived privacy risk has a negatif significant effect towards trust of smart home device. The result of this research are important for the development of smart home market in Indonesia.

Automated home using firebase and Google assistant

This manuscript is all about the internet of things in which we are making a house automated using various Internet of Things (IoT) devices and sensors and controlling it over using Google assistant and an open-source cloud-based database known as firebase. After collecting the data via sensors and storing it in the firebase, we transfer the data values from firebase using a customized home application app that has a rich and user-friendly interface in order to show the notifications as well as for monitoring the essential needs. It is a great remark now in the 21st century as the technology is making a good evolution and many systems as well as things are becoming automated due to the mark of the internet of things and data analytics.