Relevant bibliographies by topics / Voice assistants

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Voice assistants'

Author: Grafiati
Published: 4 June 2021
Last updated: 24 January 2023

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Journal articles on the topic "Voice assistants"

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Karande, Pramod, Shubham Borchate, Bhavesh Chaudhary, and Prof Deveshree Wankhede. "Virtual Desktop Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (March 31, 2022): 1916–20. http://dx.doi.org/10.22214/ijraset.2022.41024.

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Abstract: Voice Assistants are becoming immensely popular feature that has changed the way user interact with devices. Voice assistants are used in many devices like mobile phones, laptops. These voice assistants are based on Artificial-Intelligence and Natural Language Processing. They take human voices as input and give output in integrated voices. This voice assistant takes voice through microphone, we have used libraries like pyttsx3 to convert text-to-speech. Keywords: Voice Assistant, python, pyttsx3, Artificial Intelligence, Speech Recognition
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Sharma, Khushboo, Disha Bahal, Aman Sharma, Ankita Garg, and Neeta Verma. "ARA- A Voice Assistant for Disabled Personalities." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (May 1, 2022): 106–9. http://dx.doi.org/10.33564/ijeast.2022.v07i01.015.

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This paper illustrates the implementation of our proposed voice assistant that provides assistance to disabled personalities over the website. ARA-the voice assistant is a software agent that can interpret human speech and respond via synthesized voices. The most popular voice assistants are Siri, Alexa, Cortana, and Google Assistant, which can all be found on smart phones and dedicated speakers. As voice assistants become more widely used, but have complex functionality and only open when we click the mic option, this will start on voice command, easier for the people who are blind or have cognitive disabilities. ARA will read out the content of the website and then using speech to text and text to speech modules along with selenium, our software can automate any website. The designed voice assistance connects with the intended applications to provide results that the user has demanded. The objective of this paper is to illustrate how voice assistants are used in everyday life and to explore whether there is potential for making them accessible for people with disabilities.
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Sharma, Khushboo, Disha Bahal, Aman Sharma, Ankita Garg, and Neeta Verma. "REVIEW ON ARA- A VOICE ASSISTANT FOR DISABLED PERSONALITIES." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (May 1, 2022): 172–75. http://dx.doi.org/10.33564/ijeast.2022.v07i01.026.

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This paper illustrates the implementation of our proposed voice assistant that provides assistance to disabled personalities over the website. ARA-the voice assistant is a software agent that can interpret human speech and respond via synthesized voices. The most popular voice assistants which can all be found on smart phones and dedicated speakers. As voice assistants become more widely used, but have complex functionality and only open when we click the mic option, this will start on voice command, easier for the people who are blind or have cognitive disabilities. ARA will read out the content of the website and then using speech to text and text to speech modules along with selenium, our software can automate any website. The designed voice assistance connects with the intended applications to provide results that the user has demanded. The objective of this paper is to illustrate how voice assistants are used in everyday life with minimal efforts and to explore whether there is potential for making them accessible for people with disabilities.
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Lalit Kumar. "Desktop Voice Assistant Using Natural Language Processing (NLP)." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 15, 2020): 332–35. http://dx.doi.org/10.46501/ijmtst061262.

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Voice assistants are the great innovation in the field of AI that can change the way of living of the people in a different manner. the voice assistant was first introduced on smartphones and after the popularity it got. It was widely accepted by all. Initially, the voice assistant was mostly being used in smartphones and laptops but now it is also coming as home automation and smart speakers. Many devices are becoming smarter in their own way to interact with human in an easy language. The Desktop based voice assistant are the programs that can recognize human voices and can respond via integrated voice system. This paper will define the working of a voice assistants, their main problems and limitations. In this paper it is described that the method of creating a voice assistant without using cloud services, which will allow the expansion of such devices in the future.
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Huang, Yuqi. "Research on the Development of Voice Assistants in the Era of Artificial Intelligence." SHS Web of Conferences 155 (2023): 03019. http://dx.doi.org/10.1051/shsconf/202315503019.

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Voice assistants have gradually occupied an important position in the products of many electronics companies. Artificial Intelligence voice assistants are able to interpret human speech and respond. Users can ask their assistant questions and manage other essential tasks such as email calendars through verbal commands. This paper analyzes the artificial intelligence voice assistant through the method of comparative analysis. The author studies the development situation of intelligent voice assistants, and compares the differences between Chinese and foreign voice assistants, and finally discusses the relationship between voice intelligent assistants and people’s lives. The author found that users in different countries have different functional preferences for using voice assistants, but they can help people’s work and life to a great extent. In other words, voice assistants play an important role in contemporary society. Therefore, people need to better understand the relationship between humans and machine
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Watkins, Heather, and Richard Pak. "Investigating User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1800–1804. http://dx.doi.org/10.1177/1071181320641434.

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Technologies such as voice assistants can aid older adults aging in place by assisting with basic home and health tasks in daily routines. However, currently available voice assistants have a common design-they are vastly represented as young and female. Humans may apply stereotypes to human-computer interactions similarly to human-human interactions. When stereotypes are activated, users may lose trust or confidence in the abilities of the device, or even stop using the device all together. The two purposes of this study are to 1) investigate if users can detect the age and gender of voice assistants, and 2) understand the extent to which a voice assistant’s perceived gender, age, and reliability elicit stereotypic responses. A series of health-related vignettes will be utilized to assess perceptions of and stereotypic responses toward voice assistants in younger and older adults. In line with previous research examining healthcare agents (Pak et al., 2014), we hypothesize that voice assistants with younger male voices will be rated as more trustworthy and that high reliability will have a positive impact on ratings of trust.
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Ammerman Yebra, Julia. "“The power of the voice”." RED — Revista Electrónica de Direito 29, no. 3 (2022): 6–24. http://dx.doi.org/10.24840/2182-9845_2022-0003_0002.

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Voice is a feature that individualizes and identifies us. Also, a voice is a biometric data, which means that once a voice has been processed, its owner can be identified. This allows us to state that the voice can be used as a means to authenticate the signature of an electronic contract. Therefore, biometric voice recognition techniques will make it possible to identify the owner of the voice, who will thus be giving his contractual consent. The issue could become more complicated when not only the “voiceprint” is used as a signature, but also the counterpart is a virtual voice assistant. These assistants, designed to both “answer” and “listen”, should contain strong privacy policies regarding the processing of the voices interacting with them. The purpose of this paper is to analyze the consent given both for electronic contracting by voice and for the processing of these voices by virtual assistants.
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Wolters, Maria Klara, Fiona Kelly, and Jonathan Kilgour. "Designing a spoken dialogue interface to an intelligent cognitive assistant for people with dementia." Health Informatics Journal 22, no. 4 (July 26, 2016): 854–66. http://dx.doi.org/10.1177/1460458215593329.

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Intelligent cognitive assistants support people who need help performing everyday tasks by detecting when problems occur and providing tailored and context-sensitive assistance. Spoken dialogue interfaces allow users to interact with intelligent cognitive assistants while focusing on the task at hand. In order to establish requirements for voice interfaces to intelligent cognitive assistants, we conducted three focus groups with people with dementia, carers, and older people without a diagnosis of dementia. Analysis of the focus group data showed that voice and interaction style should be chosen based on the preferences of the user, not those of the carer. For people with dementia, the intelligent cognitive assistant should act like a patient, encouraging guide, while for older people without dementia, assistance should be to the point and not patronising. The intelligent cognitive assistant should be able to adapt to cognitive decline.
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Vashisht, Dr Vasudha, Ankit Rai, Dikshant Sharma, Ansh Sharma, and Ajinu Eapen Mathew. "Perceptive Personal Voice Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2567–71. http://dx.doi.org/10.22214/ijraset.2022.41852.

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Abstract: In recent years, Artificial Intelligence (AI) and Machine Learning (ML) has shown progress in the field of technology. We know that the future of technology can be full of robotics. One of the most useful application of AI is Natural Language Processing (NLP). Voice Assistants is one of the greatest innovation of all time. It changes the way of livingof the people in many aspects. Mainly it was first introduced in smart-phones and then it gets its own popularity in the market. Voice assistants are using cloud computing for communication with the users. It is mainly used in households to control a lot of technology related devices. Most common devices that are using voice assistants are smart speakers and they are being used in colleges, homes, schools etc. There are many voice assistants present in the market such as ’SIRI’ by Apple, ’Alexa’ by Amazon, ’Bixby’ by Samsung. We are also trying to create abasic Voice Assistant by using Python. There are so many useful technology such as speech recognition that will be used in this project. We are creating a VA names Arsenal that is capableof executing a lots of commands. The purpose of this paper is to study how voice assistants and smart speakers are usedin everyday life and they way in which we can create a voice assistant. Index Terms: Natural Language Processing, Voice Assistant, Speech Recognition, Python, Artificial Intelligence
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Shypota, N., and M. Makolkina. "Analysis of using voice assistant technolog in fifth generatio networks." Telecom IT 8, no. 3 (September 30, 2020): 86–93. http://dx.doi.org/10.31854/2307-1303-2020-8-3-86-93.

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The voice assistant technology is considered in scientific literature as a promising direction for organizing user work with a system of modern devices. Personal voice assistants create for the user the possibility of comfortable interaction with digital devices, bringing him closer to communication with the interlocutor. The relevance of studying the problem of using a voice assistant in fifth-generation communication networks made it the subject of research in this work. The article provides a retrospective analysis of real achievements in the field of practical application of voice assistant technology and identifies some of the most relevant directions for the development of the use of voice assistants. The main trends in the study of implementation and use, development of new generations of personal smart voice assistants are indicated. Conclusions are drawn about possible promising directions for further research. The proposed analysis of the scope of application of voice assistants and a brief description of the history of their creation and development has practical significance and makes it possible to use this publication as a lecture material.
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Dissertations / Theses on the topic "Voice assistants"

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Osipova, M., Наталія Ігорівна Муліна, Наталия Игоревна Мулина, and Nataliia Ihorivna Mulina. "Voice assistant." Thesis, Sumy State University, 2020. https://essuir.sumdu.edu.ua/handle/123456789/77845.

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Everyday devices become smarter. Thanks to software agent which is called an intelligent virtual assistant (IVA) or intelligent personal assistant we can use our appliances in full. Nowadays there are more than 30 different IVA, but all of them have differences. Popular voice assistants currently include Apple's Siri, Amazon's Alexa, Google Now, Google Assistant and Microsoft's Cortana. Voice assistants are technology-based. Voice assistants are built on artificial intelligence, machine learning and voice recognition technology. These agents can interpret human speech and respond via synthesized voices. They are the point of communication between you and all your connected devices.
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Wang, Hans S. M. Massachusetts Institute of Technology. "Voice wars : smart speakers, voice assistants, and strategies for building a successful voice ecosystem." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122259.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019
Page 99 blank. Cataloged from PDF version of thesis.
Includes bibliographical references (pages 96-98).
In recent years, voice-powered digital assistants have exploded into the consumer mainstream as an important new form of human-computer interaction. Powered by dramatic improvements in speech recognition and artificial intelligence (Al) technologies over the last decade, digital voice assistants are now abundantly prevalent in modem consumer electronic devices ranging from mobile phones, to smart speakers, to wearables. As the technology matures and the availability of big data used by digital assistants proliferates, voice will soon become a primary modality by which people interact and accomplish tasks. Many of these tasks will be accomplished in consumer homes and digital voice assistants present a significant new opportunity where voice and the physical home intersect to dramatically reshape how consumers live in their home.
This also represents a tremendous opportunity for companies in the digital assistant industry, and, in order to successfully leverage this nascent technology, they will need to understand both their own strategic goals as well as their direct and indirect competitors' strategies in building a business ecosystem around voice-first digital assistants. A fierce struggle has begun - not just amongst current technology titans (i.e. Google, Amazon, Apple, Microsoft), but also involving key incumbent players in the home media and electronics industry (e.g. Samsung, Sonos, Bang & Olufsen).
The goals of this thesis, with respect to the current industry leaders in the digital assistant and smart home space, are to 1) understand the current landscape of the digital assistant voice ecosystem, 2) elucidate each major players' current voice-powered digital assistant platform strategy, 3) analyze the consumer adoption, selection, and diffusion mechanisms for digital voice assistants in the consumer smart home, and 4) determine what the likely outcomes are for each major player as well as the likelihood of success and associated risks with the current ecosystem and platforming strategies employed. Finally, through additional market analysis and industry projections, strategic recommendations will be presented to guide each key player over the next decade. Following these recommendations will be key to winning the digital assistant voice wars and for creating a successful and sustainable voice technology ecosystem in the personal digital assistant market.
by Hans Wang.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
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Tlemcani, Ismail. "SYSTEM-LEVEL AUTOMATED TESTING FOR HOME DIGITAL VOICE ASSISTANTS." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-51050.

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Home Digital Voice Assistants (HDVA) are devices that are performing tasks based on voice commands. A normal user can use these devices to perform daily tasks like sending an email, play a song or check for an event online, just to name a few. These systems got very popular in recent years due to their ease of use and the evolution of their technology that is now handling many commands and is able to perform complex tasks. HDVA devices are also nowadays used in some critical cases like for door opening and in some healthcare services. On the other hand, software testing is an important verification and validation activity used to reveal software faults in systems that include a software part. This activity is used to make sure that the expected behavior of the system matches the actual software execution. This activity results in the creation of test cases that are run as scripts in an automatic way.  Because of the fact that HDVA devices are used nowadays in some critical use cases, it is of utmost importance that these devices are thoroughly tested to make sure that they are behaving in the correct way. In this thesis, we first investigated the current automation testing frameworks for HDVA devices that exist in the market by doing a multivocal literature review. This is an important step to do in order to discover what are the existing frameworks in the market and therefore decide on the most appropriate research that can be carried out on these. We have, after doing the multivocal literature review and listing the available automation testing tools for HDVA devices, evaluated one tool selected from this review and assessed its usefulness and applicability for professionals and researchers in terms of ease of use and resources it uses during test execution. During the evaluation, we focused on automation testing tools for the Amazon Echo device because of its popularity on the market and the great amount of resources that are available online on this device and we focused on system testing. After doing the multivocal literature review, we found that the Botium framework is the only framework available to use to test the Amazon Echo device on a system level. We took the Botium framework as the framework to be evaluated and we performed an evaluation on it from a test automation capability perspective. The evaluation was done on a virtual machine which was set up locally with the VMware software. The evaluation showed a slow test execution capability of the Botium tool. More studies are needed on testing the other popular HDVA devices and on the lower testing levels.
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Gustafsson, Viktor. "Interacting with Intelligent Personal Assistants : Blending Voice and Chat Interaction to Improve Learnability." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-181881.

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The largest software companies in the world are racing to develop their Intelligent Personal Assistants. Each with more and more capabilities and ways for users to access them. The different assistants have different capabilities and one of the ways the companies are differentiating is in the interaction techniques their assistants that are controlled with, most uses voice, and some uses text. This thesis walks through these interaction techniques, give a brief overview of intelligent personal assistants today and explores how learnability differentiate when using these interaction techniques. The thesis also investigates when users have access to multiple interaction techniques to use in combination when interacting with such an assistant. To evaluate the field, a literature study was conducted covering Intelligent Personal Assistants, interaction techniques, conversational user interfaces, modalities, multimodal interaction, voice and chat interfaces. Interviews with early adopters of Intelligent Personal Assistants was performed to better understand the current state of the technology and how users were using it. To evaluate the learnability differences in different interaction techniques, a series of user tests in a wizard-of-oz setup was conducted. In the user tests the different groups was using different interaction techniques to interact with their assistants. The main findings of the user tests was that there are indications to that the type of language used differs depending on the interaction techniques. Users who interact through voice is more prone to use a more natural language, while users using a chat interface quickly started to treat the interactions with the Intelligent Personal Assistant as commands. The result observed was that users who interacted with the assistant using chat and then switched to interacting through voice used a shorter, more command-like language when they interacted through voice as well.
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Bergman, Karolina, and Daniela Sundin. "Speaking About Voice : A Study on Communicating Brand Personality Through Virtual Assistants." Thesis, Linköpings universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158658.

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Problematization: Earlier research on brand communication emphasize the importance of communicating a brand consistently throughout all marketing channels and media. Virtual assistants (VAs) are a new marketing media and a relatively new technology with which a brand can communicate with customers. However, the theory and knowledge about how to use it as a communication tool for a brand is limited. With human communication attributes being a unique characteristic of VAs as a marketing medium, it is suggested that these can be used to clarify and supplement the traits of a brand’s personality. Research Questions: How is brand personality communicated via integrated marketing communications? How does communication with VAs affect the consumers’ perception of a brand’s personality? Purpose: This report investigates, through theories on integrated marketing communication, brand and communication, how brand personality can be communicated through a voice. The study also shows how human conversation attributes are of importance in conversation with virtual assistants, and how these affect brand personality. Conclusion: The study has shown that virtual assistants could provide the opportunity to augment a brand’s personality as a result of their ability to adopt human communication attributes. If the conversational expectations are not fulfilled, the impression of the VA, and therefore the brand it represents, will be negatively affected. If VAs overcome the communication and social obstacles, of which some are presented in this study, they can become a valuable medium for communicating brand personality. Knowledge Contribution: This study has given an understanding for human-to-brand conversation through voice and what aspects that may be considered when developing a VA for marketing purposes. A theoretical model has been developed to show how brand personality and communication attributes can affect the brand communication through virtual assistants.
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Roffey-Barentsen, Jodi. "Voices from the classroom : an exploration of the perceptions of teaching assistants." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/6052.

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This research gave voice to teaching assistants, exploring their experiences and perceptions, in terms of their backgrounds, roles and responsibilities, experiences whilst studying on an NVQ programme, support from their schools, their aspirations and the progression routes available to them. A small-scale phenomenological study approach was adopted, aimed to interpret and explain human actions and thought through descriptions, capturing first person accounts. Qualitative data was collected from focus group interviews. The research found that the main entry route into the role of teaching assistant was that of parent-helper at the school their child(ren) attended. Previous employment was varied, however, previous skills and experience was not drawn upon or utilised by the schools. Differences in job titles were not reflected by the roles performed by the participants. Support from their schools for undertaking qualifications was limited and participants had little knowledge of progression routes available to them. The research concluded that there is a need for a transparent career structure, which indicates levels of responsibility. Linked to this should be nationally recognised qualifications, which every member of support staff would have to gain, at the appropriate level for the role they fulfil. Wages should reflect the roles and associated qualifications, bringing about a clearer picture of the job of ‘teaching assistant’.
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Williams, Brian. "Bicycle Crash Detection: Using a Voice-Assistant for More Accurate Reporting." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23760.

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It is estimated that over half of bicycle crashes are not reported. There are various reasons for this, such as no property damage or physical injuries sustained. In order to improve the likelihood that bicycle riders will report a crash, I have developed Urban Bike Buddy, a smartphone application which uses the internal sensors of the device to detect a crash. The application interacts with Alexa to help guide the user through the crash reporting process. The innovative features of my work are the ability to initiate communication with Alexa without user interaction. In addition, there is an intersection controller that has been connected to extra hardware that allows bicycle riders to request a crossing signal during their approach based on the speed that they are riding. These features add value to bicycle riders, and will help contribute to a safer environment for bicycle riders, automobiles, and pedestrians as well.
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Backhans, Gustav, and Douglas Driving. "Voice assistants and railway passengers : A user-centered exploration of value creation opportunities in a railway service context." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166386.

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There is a current rising trend of using voice assistants (VAs) to perform tasks in new ways, and various companies are considering introducing them as part of their service propositions. One such company is the railway service provider SJ AB that is interested in understanding how a VA may benefit their passengers. To better understand the utility of a VA in the railway service context, this thesis aims to explore the value creation opportunities that the introduction of such a technology presents. This exploration is done through identifying the potential functionality of such a VA, what value that functionality can create for passengers, and what barriers exist for creating that value. This identification is done through a user-centred research process, during which design probes and experience prototyping were carried out with railway passengers and analysed through qualitative content analysis. The results show that a VA presents fast, convenient, and intuitive access to a wide set of functions but is hindered by its invisible affordances and the user’s preconceptions. It shares several functions with existing channels, presented in a new way, that span the entire course of the train journey. The functionality and the identified functions primarily create utilitarian values, which connects to the passenger’s pragmatic view of the service. Furthermore, the passengers perceived the VA as an agent able to take over responsibilities and tasks from the passenger, resulting in a peace of mind but also a diminished sense of control. Finally, the railway service context affected what functionality is suitable, what values can be created and what barriers need to be considered. Some of the value creation possibilities and barriers are also contemporary and might change with shifting social norms and further technological development.
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Eriksson, Filip. "Onboarding Users to a Voice User Interface : Comparing Different Teaching Methods for Onboarding New Users to Intelligent Personal Assistants." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149580.

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From being a fictional element in sci-fi movies, voice user interaction has become reality with intelligent personal assistants like Apple’s Sir iand Google’s Assistant. The development opens up for new exciting user experiences and challenges when designing for these experiences. This thesis has aimed to investigate the user experience of different ways of onboarding new users to intelligent personalassistants. The process has included interviews with experienced users, a test of a Google Home for three months and a wizard of oz (WOZ) test. The interviews and the long term test was done in correlation with a literature study to determine how users interact with an intelligent personal assistant (IPA) their flaws, benefits, what added value they have etc. The goal of the WOZ test was to compare two different teaching methods during the onboarding of a new user. The methods were a voice tutorial by the IPA and a visual interaction on a mobile device. The outcome was to see if the users memory retention was different between the two methods for features learned during the test as well as the users opinions of the two different methods. The results from the interviews show that the benefits of using an IPA is in situations where it reduces friction, e.g when both hands are occupied. They also showed that there are still issues with IPAs and there is a long way to go before they can a accomplish a more human-to-human like conversation. In the WOZ test the results showed that there were no significant difference in user remembrance of learnt features between the two teaching methods. However the user insights showed that the majority of users would like to have a multimodal interaction, a combination of voice and visual interaction when being taught to use an IPA.
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Gersil, Tuna, and Ismail Hilal. "The Role of Conversational Interfaces in the Future of Digitaland Technology." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279688.

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Conversational interfaces (CIs) have been a trending topic in recent years. As of the last decade, CIs have emerged with the aim of simplifying human-machine interactions and found a wide use case in the market. For example, Siri and Google Assistant are some of the most well-known CIs developed by the tech giants Apple and Google. The digital landscape has evolved from web, to mobile apps, to recently CIs. Nowadays, CIs, in particular chatbots and voicebots, are becoming increasingly common. Whether navigating the web or messaging on a phone, it is likely that CIs have been confronted offering the user help.However, CIs have not managed to reach a large-scale use. Furthermore, the reasons regarding the challenges faced by CIs as well as their usability are not greatly explored. In this thesis, we explore the most relevant uses of CIs and the reasons hindering a widespread use of CIs. Our goal is to provide an insight into CIs’ uses and list the reasons regarding the challenges faced by CIs. The research study followed a mixed method approach connecting an explorative qualitative literature study, a survey and an interview. The data was collected by using a systematic mapping approach for it being more suitable for conducting an effective literature review. The survey and the interview were conducted in order to confirm the findings.According to our research, it was found that the most common use cases of CIs were in customer service, sales, travel and bookings, education, healthcare and as voice assistants. The most prominent challenges faced by CIs were poor usability, language processing and understanding, speech recognition and natural language generation and security and privacy. As a conclusion, the future looks promising for CIs, however, they need to be furher researched and developed in order to help them reach a widespread use in the future.
Konversation Gränssnitt (CIs) har varit ett trendande ämne de senaste åren. Sedan det senaste decenniet har CIs kommit fram i syfte att förenkla interaktioner mellan människor och maskiner och har hittat ett brett användningsfall på marknaden. Det digitala landskapet har utvecklats från webb, till mobila appar till nyligen CI. Numera blir CIs, i synnerhet chatbots och voicebots, allt vanligare. Vare sig du navigerar på webben eller meddelanden i en telefon, är det troligt att CIs har konfronterats med att erbjuda användaren hjälp.CIs har dock inte lyckats uppnå storskalig användning. Dessutom är orsakerna till de utmaningar som CIs står inför och deras användbarhet inte utforskas i hög grad. I den här avhandlingen undersöker vi de mest relevanta användningarna av CIs och orsakerna till en utbredd användning av CIs. Vårt mål är att ge en inblick i CI: s användningar och lista orsakerna till de utmaningar som CIs står inför. Forskningsstudien följde en blandad metodstrategi som ansluter en utforskande kvalitativ litteraturstudie, en undersökning och en intervju. Uppgifterna samlades in med hjälp av en systematisk kartläggningsätt för att göra dem mer lämpliga för att genomföra en effektiv litteraturgranskning. Undersökningen och intervjun genomfördes för att bekräfta resultaten.Enligt vår forskning konstaterades att de vanligaste användningsfallen för CIs var kundservice, försäljning, resor och bokningar, utbildning, sjukvård och som röstassistenter. De mest framstående utmaningarna för CIs var dålig användbarhet, språkhantering och förståelse, taligenkänning och naturlig språkgenerering och säkerhet och integritet. Sammanfattningsvis ser framtiden lovande ut för CIs, men de måste undersökas och utvecklas ytterligare för att hjälpa dem att uppnå utbredd användning i framtiden.
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Books on the topic "Voice assistants"

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Deutsch, Robin M., Rosanne P. Klovee, Charlene A. Caldeira, and Robert Kinscherff. The child's voice. [Boston, MA]: MCLE, 2011.

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Deutsch, Robin M., Rosanne P. Klovee, and Charlene A. Caldeira. The child's voice. Boston, MA: MCLE New England, 2014.

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Deutsch, Robin M., Rosanne P. Klovee, Charlene A. Caldeira, and Robert Kinscherff. The child's voice. [Boston, MA]: MCLE, 2011.

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Madzima, G. A coordinated voice for NGO's: The path ahead--. [Harare?: s.n., 1997.

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Revolutionary Association of the Women of Afghanistan. RAWA: The voice of the voiceless. Kabul: The Association, 2004.

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Boukhris, Hafid Alaoui. La coopération pénale internationale par voie d'extradition au Maroc. Casablanca: Editions Toubkal, 1986.

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Hartzell, Gary N. New voices in the field: The work lives of first-year assistant principals. Thousand Oaks, Calif: Corwin Press, 1995.

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M, Cook Chris, and International Development Research Centre (Canada), eds. Japan's system of official development assistance. Ottawa: International Development Research Centre, 1999.

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Economic Justice Network (Fellowship of Christian Councils in Southern Africa), Civil Society Trade Network of Zambia, and Malawi Economic Justice Network, eds. Community voices on social and economic justice issues in Southern Africa. Harare: Southern Africa People's Solidarity Network, 2009.

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Institute, Mazingira, African Academy of Sciences, and Heinrich Böll Foundation (Nairobi, Kenya), eds. Voices and critique of the African Forum for Envisioning Africa on NEPAD: (new partnership for Africa's development). Nairobi, Kenya: Heinrich Böll Foundation, Regional Office, East and Horn of Africa, 2002.

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Book chapters on the topic "Voice assistants"

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Kao, Griffin, Jessica Hong, Michael Perusse, and Weizhen Sheng. "Un-assistive Voice Assistants." In Turning Silicon into Gold, 111–17. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5629-9_16.

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Kim, Jeff J. H., Richard Um, Rajiv Iyer, Nicholas Theodore, and Amir Manbachi. "Commercial Voice-Activated Assistants." In Design and Development of Smart Surgical Assistant Technologies, 11–20. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003253341-2.

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Liang, Xiaohui, John A. Batsis, Jing Yuan, Youxiang Zhu, Tiffany M. Driesse, and Josh Schultz. "Voice-Assisted Food Recall Using Voice Assistants." In Lecture Notes in Computer Science, 92–107. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-17902-0_7.

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Kim, Jeff J. H., Richard Um, Rajiv Iyer, Nicholas Theodore, and Amir Manbachi. "Introduction to Voice-Activated Assistants." In Design and Development of Smart Surgical Assistant Technologies, 1–10. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003253341-1.

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Bilal, Dania, and Jessica K. Barfield. "Voice Switching in Voice-Enabled Digital Assistants (VDAs)." In Human-Computer Interaction. Theory, Methods and Tools, 507–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78462-1_39.

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Roth, Jörg. "A Platform for Offline Voice Assistants." In Innovations for Community Services, 49–62. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06668-9_6.

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Anantha, Raviteja, Srinivas Chappidi, and William Dawoodi. "Learning to Rank Intents in Voice Assistants." In Lecture Notes in Electrical Engineering, 87–101. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8395-7_7.

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Mari, Alex, and René Algesheimer. "AI-based voice assistants for digital marketing." In Contemporary Issues in Digital Marketing, 72–82. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003093909-9.

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Biele, Cezary, Anna Jaskulska, Wieslaw Kopec, Jaroslaw Kowalski, Kinga Skorupska, and Aldona Zdrodowska. "How Might Voice Assistants Raise Our Children?" In Advances in Intelligent Systems and Computing, 162–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11051-2_25.

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Lee, Donghyun, Minkyu Lim, Minho Ryang, Kwang-Ho Kim, Gil-Jin Jang, Jeong-Sik Park, and J. H. Kim. "A Voice QR Code for Mobile Devices." In Natural Language Dialog Systems and Intelligent Assistants, 97–100. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19291-8_9.

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Conference papers on the topic "Voice assistants"

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Son Nguyen, Hai, Andreas Mladenow, Christine Strauss, and Katharina Auer-Srnka. "Voice Commerce: Anthropomorphism Using Voice Assistants." In iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3487664.3487724.

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Feng, Huan, Kassem Fawaz, and Kang G. Shin. "Continuous Authentication for Voice Assistants." In MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3117811.3117823.

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Völkel, Sarah Theres, Penelope Kempf, and Heinrich Hussmann. "Personalised Chats with Voice Assistants." In CUI '20: 2nd Conference on Conversational User Interfaces. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3405755.3406156.

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Painchaud, Kori, and Leonidas Deligiannidis. "Customized Services Using Voice Assistants." In 2020 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2020. http://dx.doi.org/10.1109/csci51800.2020.00197.

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Qiu, Ling, and Saeed Abdullah. "Voice Assistants for Speech Therapy." In UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460418.3479336.

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Sayago, Sergio, Barbara Barbosa Neves, and Benjamin R. Cowan. "Voice assistants and older people." In the 1st International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3342775.3342803.

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Proctor, Karl, Lee Skrypchuk, Daniel Clifton, and Mutlu Isik. "Methods to Promote Increased Usage of Voice Interaction in a Vehicle." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001685.

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As in-vehicle infotainment systems become increasingly complex, and as manufacturers increasingly move functions and features into the in-vehicle screen, interacting with these systems is resulting in increased demand, eyes-off-the-road time, and task completion time. To combat this complexity, some manufacturers have incorporated voice assistants into their vehicles, allowing drivers to speak to their vehicles to perform tasks rather than use touch. However, these assistants currently offer a limited feature set, and are generally passive, requiring manual activation. Here we outline early, but on-going work looking at techniques that can be used to nudge users towards using voice. Participants were presented with 6 prototype in-vehicle infotainment systems (IVIS), which varied in terms of how they nudged participants towards using voice and asked to perform a series of representative in-vehicle tasks. Data shows the most effective method for nudging was automatic activation of the voice assistant when opening the appropriate app, with participants using voice 60% of the time.
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Lahoual, Dounia, and Myriam Frejus. "When Users Assist the Voice Assistants." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3299053.

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Mayer, Sven, Gierad Laput, and Chris Harrison. "Enhancing Mobile Voice Assistants with WorldGaze." In CHI '20: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3313831.3376479.

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Lima, Lanna, Vasco Furtado, Elizabeth Sucupira Furtado, Virgilio Almeida, and Thiago H. O. da Silva. "Discrimination analysis of intelligent voice assistants." In IHC '19: XVIII Brazilian Symposium on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357155.3358483.

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Reports on the topic "Voice assistants"

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Whang, Claire, and Sanga Song. The Impact of Perceived Humanlikeness of Voice Assistants on Purchase Intention. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8850.

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Carter, Becky. Integrating Local Voices into Programme Governance in Fragile and Conflict-Affected Settings. Institute of Development Studies, July 2022. http://dx.doi.org/10.19088/k4d.2022.110.

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This rapid literature review explores how local people’s views and perspectives on their concerns, needs and capabilities (beyond asking about their experiences with aid) have been integrated into the national-level governance mechanisms of humanitarian assistance and development programmes in fragile and conflict-affected settings. There is limited systematic evidence available on this topic. There are a few cases of including civil society in national-level programme or sector governance bodies; there is more documented experience of including local actors in humanitarian response coordination. There is also relevant learning from feedback mechanisms, analysis and research, and people-centred approaches to aid planning and management more generally. The literature highlights the importance of conflict-sensitive approaches underpinned by regular conflict and political economy analysis; consulting with local actors on how they want to communicate and engage, and setting up safe and effective spaces for engagement; investing in long-term partnerships and capacity building to strengthen local organisations; and undertaking participatory, qualitative research that starts from ‘people’s own reading of how their lives are changing over time’ (Daigle, 2022: 15).
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Promoting Children’s Participation Rights in Early Childhood Education and Care: Self-Assessment Tool for Professionals. 2019-1-PT01-KA202-060950: Professional Development Tools Supporting Participation Rights in Early Childhood Education, May 2021. http://dx.doi.org/10.15847/cisparticipa.sat01.2021.05.

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This self-assessment tool was designed to support early childhood education and care (ECEC) professionals in enhancing participatory practices based on their organizations’ resources. We define participation as children’s right to be heard, to express their perspectives in matters and situations affecting them, and to have them considered and given due weight (i.e., as defined by the United Nations Convention on the Rights of the Child, in 1989). The tool consists of three versions taking into account the work specificity of ECEC assistant, teachers and coordinators. It is intended to be used in both the individual and group context. This self assessment tool was elaborated in Europe in a participatory process to allow for its cross-country application. We call this process participatory as it considered the voices of key actors – ECEC professionals at all stages of the elaboration of the tool by the international team of researchers and teacher trainers. Children’s participation was conceptualized following the Lundy model (Lundy, 2007).
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