Alexa: The Voice-Powered Smart Assistant for Home Automation Assignment Sample

Discover how Alexa, Amazon's intelligent voice assistant, revolutionizes home automation. Explore its capabilities, from voice commands to smart device control, and its potential for different age groups.

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Introduction of Alexa- Enable Toys For Solo Play Using Voice In The Home Assignment

Alexa is an IVA device that enables the option of voice assistance. This is a personal product of Amazon which is being developed by Amazon itself. This device is been built-in “Lab126” & came up with the popularity of “Amazon Echo” & “Amazon Echo-DEot”. “Alexa” is a device that makes people's lives easier and made them lazier. This device enables voice assistance, allows playing audiobooks, and help with providing many pieces of information such as weather, traffic, and any data one can ask for, this device replied immediately when she listens to a command. This device is made with so much potential that other than providing and allowing voice assistance, Alexa can work as a medium, and thus it has the capability to control various smart devices by making itself a house “automation corner”. “Eco-Dot” by “Alexa” enables or starts listening while one speaks up with it & activates the device by its “wake word” which is Alexa. Within the home premises, Alexa can communicate with various devices such as - “Philips Hue”, “Belkin Wemo”, Smart Things”, etc.

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Project Description

With the smart projection of Alexa, people can now use Alexa to act proactively on suspicions. This device helps customers make their home automates. With the help of this device, anyone can make their house the smartest & can save energy. Also, it allows automatically re-compose edibles founded on product detectors. In a very short period, one can now connect their device with Alexa, such as the “Bluetooth Mesh” standard & “Amazon Sidewalk”. One can enable the local smart house skills to pair one device locally with the “Echo device” & allow customers to operate them with minimal latencies even when those devices are offline. One can use the upgraded advancements in their hassle-free easy-to-use setup endeavor such as, “Bluetooth simple” setup & “Wi-Fi” sample reconnect to build up the setup process & make those easier and user-friendly. Even a child can use this device and operate it only by proving them with an appropriate command. In the end, the maker of Alexa and the company has somehow managed to improve the product to make it easier for their customer to operate it without any hassle. Also, they have continued to upgrade the device for their consumers to learn about this smart device & an approach to buying this device which is built by Amazon & the other channels. On the other side, it has enhanced the certification of the Human program in various countries, such as the “UK”, “Germany,” “Spain”, “Italy” & “France”. Even the company has listed a few more countries to allow them to discover their range of smart devices worldwide.

The risks of the device

Figure 1: The risks of the device

(Source: self-created)

Preliminary Literature Review

According to Radhika Garg, over the last decades, technologically the vision of HCL & IVA communications regarding communicational devices has slowly manifested in such a form of smart devices like- “amazon echo” & “Echo-dot”. There are billions of people has started using these kinds of smart devices in their everyday life. But the company has only focused on a device that allows voice commands. But in a house, there are various members who exist. All are differentiated by their age group. And at the same point, the company or the maker of these smart devices has misunderstood criteria while making the device that it needs to be segmented by the age group or thus it should have some applicable area where people can able this smart device by their age group. To make an overall idea and find out a solution the author had been conducted a survey with 19 families & collected their smart devices activity data to make an idea to get an idea about their utilization patterns, both from the adults as well as from the children. The findings have revealed that there are minimal differences in the process of using these smart devices which are being used by a family’s adult members as well as by the children. They have reported how doe

s adults encourage children to use smart devices & how the various aspects define the use of these devices. And at the last stage, they discussed the implementation of the findings & allows them to follow Sudan guidelines to improve the design of the upcoming generations' smart devices & conversational tools.

Research question

  • How does additional associates of families along with kids can operate these smart speakers?
  • How does the use of Alexa differentiate in order to run for the long term?
  • How do distinct associates of a house sense & distinguish smart speakers?
  • How right it would be if parents encourage youngsters to use smart speakers?

Design

Customers have been interacting with Alexa for thousands of years every week all over the world, asking for critical data, setting schedules & “alarms”, “playing music” they love, & several other things. Users can construct auxiliary gadgets with both the “Alexa Gadgets” Toolkit whether expand Alexa's functionality or develop a brand-new dialogue between the product, Alexa, and the user. With the “Alexa Gadgets Toolkit”, anyone can exhilarate, engage, & benefit their consumers by producing a “smart toy”, “smart clock”, or “novelty accessory”. Now at the point, Alexa is available in every big technical store even online. The “Alexa gadgets” present individual self-service “APIs” & some intersection which discloses “metadata of Alexa's” ability through consistent “Echo device”. They have used custom confluence to create a collective two-way relation between the derivative & the echo devices that are being paired with the smart speaker. Or they have chosen from other defined convergence to produce a creation that responds in reaction to Alexa’s few of the most prevalent credentials.

Methodology

In this part of the methodology, all the data has been collected from the secondary method. Most of the data used in this research has been collected from several websites and general sites. This information will help to elaborate the users of the process also incorporating the technology that allows the users to know more about the voice assistant that they can able in their daily life. In this research project, real work has been shown which has been done back for all the commerce of the methodology where a “voice assistance” performed in any requirement of the home & regular assistance has also been provided. To comprehend the study it is very essential for the consumers to apprehend the “voice assistance” as they are organized to respond to any questions that is been asked from a kid's viewpoint to grown-ups' points & deliver a distinguishing explanation to individually of the results as this technology allows the market need of the “voice assistance” is increased & became trendy. Also, overwhelming any difficulty for any circumstances is required as relevant details that required in this study of the assignment that the consumers utilized for developing the “voice assistance” to swallow more undersized time & capital for the user’s family & in their life.

Resources & Constraints

The resources of this study include “hardware & software” in the making process of this “voice assistance”. For the consumers to communicate or converse with this device the hardware part is “Amazon Alexa” or the “google Home”, these AI-based automation are used to operate the procedures of voice assistance. AI technology is the most awaited upgraded software that has been ever built yet now. Where the codes of the line allow the users to understand the “AI-based” voice assistance for specifically provided answers. The creation of “AI” is built to follow the voice & recognize the assistance of the voice from there conveying voice modulation that helps the one to determine the concerns & present the proper response to AI. AI’s servers where all the user contains their own information accumulated in a typical place in the “server’s clouds” of “Alexa” or “google homes”.

Alexa interaction diagram with Echo

Figure 2: Alexa interaction diagram with Echo

(Source: self-created smart art)

Social, ethical, professional & Legal Considerations

  • Social: one can use Social Networks to link the Echo device to their friends' Echo devices. Start using this alternate platform right away to send and receive messages while conveniently updating the status. A speech alternative to the traditional web- & mobile social networks was provided by this talent. It functions similarly to the most well-known private social networks of today, where one asks a contact, to join, and gain access to the network & the status updates. Additionally, one can communicate with any pals, as Alexa will let them know when their skill is opened. Social networks allow the collection of basic data about the user to enable the communication process and to let others join in the same device.
  • Professional: The use of Alexa in an organization enables the employees to operate this device to make the work process easier and also to get more work done in a minimal time span. At the business place, the use of Alexa works as their intelligence assistant to work more productively in meeting rooms, and works at their individual desks, and very obvious that most of the employees use this smart device in their houses and their cars as well. IT & facilities management can even use this device for business purposes & to enhance the usage of their existing conference rooms within the organization.
  • Ethical: At the last stage of 2018, half of the total population started using a smart home device. Whether it's an “Amazon Echo”, “Google Home”, “Apple Home Pod”, “smart thermostat”, etc. The application of smart home technology can greatly improve consumers' daily convenience. But a tremendous risk comes along with each of these different aspects. Anyone can use the device to conduct purchases from “Amazon.com” if “Amazon Pay” is facilitated by the Ai assistant. Luckily, it's fairly simple to turn off this function. In reality, all of an “Amazon Alexa” device's risky features for security & privacy may be turned off. Despite of this most of customers are yet not considering the risk of using this smart AI device, mainly the “Amazon Echo”.

Conclusion

This is a personal product of Amazon which is being developed by Amazon itself. Alexa can work as a medium, and thus it has the capability to control various smart devices by making itself a house “automation corner”. In a very short period, one can now connect their device with Alexa, such as the “Bluetooth Mesh” standard & “Amazon Sidewalk”. One can enable the local smart house skills to pair one device locally with the “Echo device” & allow customers to operate them with minimal latencies even when those devices are offline. Even a child can use this device and operate it only by proving them with an appropriate command. There are billions of people has started using these kinds of smart devices in their everyday life. But the company has only focused on a device that allows voice commands. But in a house, there are various members who exist. All are differentiated by their age group. And at the same point, the company or the maker of these smart devices has misunderstood criteria while making the device that it needs to be segmented by the age group or thus it should have some applicable area where people can able this smart device by their age group.

Reference list

Journals

Hall, L., Paracha, S., Flint, T., MacFarlane, K., Stewart, F., Hagan-Green, G. and Watson, D., 2022. Still looking for new ways to play and learn… Expert perspectives and expectations for interactive toys. International Journal of Child-Computer Interaction, 31, p.100361.

Baumann, R., Malik, K.M., Javed, A., Ball, A., Kujawa, B. and Malik, H., 2021. Voice spoofing detection corpus for single and multi-order audio replays. Computer Speech & Language, 65, p.101132.

Trajkova, M. and Martin-Hammond, A., 2020, April. " Alexa is a Toy": exploring older adults' reasons for using, limiting, and abandoning echo. In Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1-13).

Hall, L., 2020. Living the future: The technological family and the connected home.

Ammari, T., Kaye, J., Tsai, J.Y. and Bentley, F., 2019. Music, Search, and IoT: How People (Really) Use Voice Assistants. ACM Trans. Comput. Hum. Interact., 26(3), pp.17-1.

Bolton, T., Dargahi, T., Belguith, S., Al-Rakhami, M.S. and Sodhro, A.H., 2021. On the security and privacy challenges of virtual assistants. Sensors, 21(7), p.2312.

Lau, J., Zimmerman, B. and Schaub, F., 2018. Alexa, are you listening? Privacy perceptions, concerns and privacy-seeking behaviors with smart speakers. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), pp.1-31.

Beirl, D., Rogers, Y. and Yuill, N., 2019, June. Using voice assistant skills in family life. In Computer-Supported Collaborative Learning Conference, CSCL (Vol. 1, pp. 96-103). International Society of the Learning Sciences, Inc..

Zwakman, D.S., Pal, D. and Arpnikanondt, C., 2021. Usability evaluation of artificial intelligence-based voice assistants: the case of Amazon Alexa. SN Computer Science, 2(1), pp.1-16.

Jones, V.K., 2022. Why people use virtual assistants: Understanding engagement with Alexa. Journal of Brand Strategy, 11(1), pp.80-101.

Ahire, S., Priegnitz, A., Önbas, O., Rohs, M. and Nejdl, W., 2021, November. How Compatible is Alexa with Dual Tasking?—Towards Intelligent Personal Assistants for Dual-Task Situations. In Proceedings of the 9th International Conference on Human-Agent Interaction (pp. 103-111).

Lee, K., Lee, K.Y. and Sheehan, L., 2020. Hey Alexa! A magic spell of social glue?: Sharing a smart voice assistant speaker and its impact on users’ perception of group harmony. Information Systems Frontiers, 22(3), pp.563-583.

Kulkarni, P., Duffy, O., Synnott, J., Kernohan, W.G. and McNaney, R., 2022. Speech and Language Practitioners’ Experiences of Commercially Available Voice-Assisted Technology: Web-Based Survey Study. JMIR Rehabilitation and Assistive Technologies, 9(1), p.e29249.

Kinnee, B., Rosner, D.K. and Desjardins, A., 2022, June. Sonic Technologies of a Queer Breakup. In Designing Interactive Systems Conference (pp. 1377-1393).

Abdi, N., Zhan, X., Ramokapane, K.M. and Such, J., 2021, May. Privacy norms for smart home personal assistants. In Proceedings of the 2021 CHI conference on human factors in computing systems (pp. 1-14).

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