Relevant bibliographies by topics / Voice-user interface (VUI)

Academic literature on the topic 'Voice-user interface (VUI)'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Voice-user interface (VUI)"

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Stigall Kelly Caine, Brodrick. "Towards Self Expression Through Voice User Interfaces." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 1800–1804. http://dx.doi.org/10.1177/1071181322661048.

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Self-expression through expressive writing yields positive health outcomes. However, people who have difficulty writing by traditional means may have difficulty accessing these benefits. This work proposes a study to investigate whether the positive effects of self-expression can be achieved through a voice user interface (VUI). The study compares traditional expression (writing) to expression using a VUI (voice). This work will extend the realm of expressive writing research to include voice user interfaces (VUIs) as a medium of expression. We expect expression through VUIs to yield results similar to traditional methods of expression such as writing. This finding would indicate that we may be able to make the benefits of expressive writing such as positive health outcomes available to people who cannot write by traditional means.
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Wagner, Amber, and Jeff Gray. "An Empirical Evaluation of a Vocal User Interface for Programming by Voice." International Journal of Information Technologies and Systems Approach 8, no. 2 (July 2015): 47–63. http://dx.doi.org/10.4018/ijitsa.2015070104.

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Although Graphical User Interfaces (GUIs) often improve usability, individuals with physical disabilities may be unable to use a mouse and keyboard to navigate through a GUI-based application. In such situations, a Vocal User Interface (VUI) may be a viable alternative. Existing vocal tools (e.g., Vocal Joystick) can be integrated into software applications; however, integrating an assistive technology into a legacy application may require tedious and manual adaptation. Furthermore, the challenges are deeper for an application whose GUI changes dynamically (e.g., based on the context of the program) and evolves with each new application release. This paper provides a discussion of challenges observed while mapping a GUI to a VUI. The context of the authors' examples and evaluation are taken from Myna, which is the VUI that is mapped to the Scratch programming environment. Initial user studies on the effectiveness of Myna are also presented in the paper.
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Lee, Byeong Ki, and Jae Young Yun. "User Experience on Korean Honorific Expressions and Voice Age of Voice User Interface." Journal of the HCI Society of Korea 14, no. 4 (December 31, 2019): 49–57. http://dx.doi.org/10.17210/jhsk.2019.12.14.4.49.

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George, Jomin, Aju Abraham, and Elizabeth Ndakukamo. "Futuristic applications of voice user interference on child language development." Future Technology 2, no. 3 (August 15, 2023): 5–11. http://dx.doi.org/10.55670/fpll.futech.2.3.2.

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Voice User Interface (VUI) is an Artificial Intelligence tool that enables children to access a computing device and complete tasks through speech instead of using learning methods. VUI, a form of AI (Artificial Intelligence), takes a sound that children articulate in a spoken statement and use intent recognition to understand the action required to fulfill the child’s spoken request. The design and features of VUI have been developed to increase the interpersonal level of communication with users and, to some degree, make voice assistants behave like humans. The features that have been created, have been shaped in such a way as to improve learning efficacy and ease of use for early childhood learning development. The current available VUIs in the market have been geared to provide children with a simpler way to interact with access to educational technology learning tools. The research posits that there are two primary uses of VUI in childhood learning development exploration, whereby children use VUI as a form of entertainment and information seeking, and children use VUI to develop various knowledge facets. For children in the early language stages currently using language to communicate, VUI language stimulation can help children to engage in continuous communication processes, use and understand various words, and successfully complete more complex sentences. The research seeks to state the problems associated with VUI and the standard opinions based on research associated with the problem. Moreover, the study seeks to articulate the hypothesis that VUI is an effective tool for early childhood language learning through the use of peer-reviewed evidence and examples, to the hypothesis, to generate new and innovative perspectives.
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Langer, Dorothea, Franziska Legler, Philipp Kotsch, André Dettmann, and Angelika C. Bullinger. "I Let Go Now! Towards a Voice-User Interface for Handovers between Robots and Users with Full and Impaired Sight." Robotics 11, no. 5 (October 15, 2022): 112. http://dx.doi.org/10.3390/robotics11050112.

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Handing over objects is a collaborative task that requires participants to synchronize their actions in terms of space and time, as well as their adherence to social standards. If one participant is a social robot and the other a visually impaired human, actions should favorably be coordinated by voice. User requirements for such a Voice-User Interface (VUI), as well as its required structure and content, are unknown so far. In our study, we applied the user-centered design process to develop a VUI for visually impaired humans and humans with full sight. Iterative development was conducted with interviews, workshops, and user tests to derive VUI requirements, dialog structure, and content. A final VUI prototype was evaluated in a standardized experiment with 60 subjects who were visually impaired or fully sighted. Results show that the VUI enabled all subjects to successfully receive objects with an error rate of only 1.8%. Likeability and accuracy were evaluated best, while habitability and speed of interaction were shown to need improvement. Qualitative feedback supported and detailed results, e.g., how to shorten some dialogs. To conclude, we recommend that inclusive VUI design for social robots should give precise information for handover processes and pay attention to social manners.
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Song, Yao, Yanpu Yang, and Peiyao Cheng. "The Investigation of Adoption of Voice-User Interface (VUI) in Smart Home Systems among Chinese Older Adults." Sensors 22, no. 4 (February 18, 2022): 1614. http://dx.doi.org/10.3390/s22041614.

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Driven by advanced voice interaction technology, the voice-user interface (VUI) has gained popularity in recent years. VUI has been integrated into various devices in the context of the smart home system. In comparison with traditional interaction methods, VUI provides multiple benefits. VUI allows for hands-free and eyes-free interaction. It also enables users to perform multiple tasks while interacting. Moreover, as VUI is highly similar to a natural conversation in daily lives, it is intuitive to learn. The advantages provided by VUI are particularly beneficial to older adults, who suffer from decreases in physical and cognitive abilities, which hinder their interaction with electronic devices through traditional methods. However, the factors that influence older adults’ adoption of VUI remain unknown. This study addresses this research gap by proposing a conceptual model. On the basis of the technology adoption model (TAM) and the senior technology adoption model (STAM), this study considers the characteristic of VUI and the characteristic of older adults through incorporating the construct of trust and aging-related characteristics (i.e., perceived physical conditions, mobile self-efficacy, technology anxiety, self-actualization). A survey was designed and conducted. A total of 420 Chinese older adults participated in this survey, and they were current or potential users of VUI. Through structural equation modeling, data were analyzed. Results showed a good fit with the proposed conceptual model. Path analysis revealed that three factors determine Chinese older adults’ adoption of VUI: perceived usefulness, perceived ease of use, and trust. Aging-related characteristics also influence older adults’ adoption of VUI, but they are mediated by perceived usefulness, perceived ease of use, and trust. Specifically, mobile self-efficacy is demonstrated to positively influence trust and perceived ease of use but negatively influence perceived usefulness. Self-actualization exhibits positive influences on perceived usefulness and perceived ease of use. Technology anxiety only exerts influence on perceived ease of use in a marginal way. No significant influences of perceived physical conditions were found. This study extends the TAM and STAM by incorporating additional variables to explain Chinese older adults’ adoption of VUI. These results also provide valuable implications for developing suitable VUI for older adults as well as planning actionable communication strategies for promoting VUI among Chinese older adults.
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Kim, Minjung, Jieun Han, Hyo-Jin Kang, and Gyu Hyun Kwon. "Extracting usability dimensions of the voice user interface - Focusing on AI assistants-." Journal of the HCI Society of Korea 15, no. 1 (March 31, 2020): 53–64. http://dx.doi.org/10.17210/jhsk.2020.03.15.1.53.

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Subhash S., Siddesh S., Prajwal N. Srivatsa, Ullas A., and Santhosh B. "Developing a Graphical User Interface for an Artificial Intelligence-Based Voice Assistant." International Journal of Organizational and Collective Intelligence 11, no. 3 (July 2021): 49–67. http://dx.doi.org/10.4018/ijoci.2021070104.

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Artificial intelligence machineries have been extensively active in human life in recent times. Self-governing devices are enhancing their way of interacting with both human and devices. Contemporary vision in this topic can pave the way for a new process of human-machine interaction in which users will get to know how people can understand human language, adapting and communicating through it. One such tool is voice assistant, which can be incorporated into many other brilliant devices. In this article, the voice assistant will receive the audio from the microphone and then convert that into text, later with the help of ‘pyttsx3', and then the text response will be converted into an audio file; then the audio file will be played. The audio is processed using the voice user interface (VUI). This article develops a functional intelligent personal assistant (IPA) and integrates it with a graphical user interface that can perform mental tasks such as ON/OFF of smart applications based on the user commands.
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Austerjost, Jonas, Marc Porr, Noah Riedel, Dominik Geier, Thomas Becker, Thomas Scheper, Daniel Marquard, Patrick Lindner, and Sascha Beutel. "Introducing a Virtual Assistant to the Lab: A Voice User Interface for the Intuitive Control of Laboratory Instruments." SLAS TECHNOLOGY: Translating Life Sciences Innovation 23, no. 5 (July 18, 2018): 476–82. http://dx.doi.org/10.1177/2472630318788040.

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The introduction of smart virtual assistants (VAs) and corresponding smart devices brought a new degree of freedom to our everyday lives. Voice-controlled and Internet-connected devices allow intuitive device controlling and monitoring from all around the globe and define a new era of human–machine interaction. Although VAs are especially successful in home automation, they also show great potential as artificial intelligence-driven laboratory assistants. Possible applications include stepwise reading of standard operating procedures (SOPs) and recipes, recitation of chemical substance or reaction parameters to a control, and readout of laboratory devices and sensors. In this study, we present a retrofitting approach to make standard laboratory instruments part of the Internet of Things (IoT). We established a voice user interface (VUI) for controlling those devices and reading out specific device data. A benchmark of the established infrastructure showed a high mean accuracy (95% ± 3.62) of speech command recognition and reveals high potential for future applications of a VUI within the laboratory. Our approach shows the general applicability of commercially available VAs as laboratory assistants and might be of special interest to researchers with physical impairments or low vision. The developed solution enables a hands-free device control, which is a crucial advantage within the daily laboratory routine.
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Aiman Alias, Muhammad Zharif, Wan Norsyafizan W. Muhamad, Darmawaty Mohd Ali, and Azlina Idris. "Voice User Interface(VuI) Smart Office Door Application in the Context of Covid-19 Pandemic." Proceedings of International Conference on Artificial Life and Robotics 27 (January 20, 2022): 981–89. http://dx.doi.org/10.5954/icarob.2022.os32-4.

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Dissertations / Theses on the topic "Voice-user interface (VUI)"

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Hallberg, Kristoffer. ""Hey Google, how do I become a more satisfied and frequent user of VUI?" A study in how to improve VUI usability." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23559.

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Forskning och utveckling har hittills mestadels fokuserats på den rent tekniska utvecklingen av ’speech recognition’ för användningen av produkter med ’Voice user interface’ (VUI). Men det krävs mer för att skapa en bra upplevelse och frekvent användande av VUI. Detta examensarbete undersöker hur upplevelsen och värdet av VUI kan förbättrats för användaren.Genom intervjuer, observationer och frågeformulär riktade mot användare av VUI-produkter innehållande Google Assistant, Alexa eller Siri, identifierades de två största problemområdena – att VUI inte anpassar volymen på sina svar efter omgivningens ljudnivå, samt bristen på kunskap om vad VUI kan användas till i de olika produkterna.Resultatet från användartester av prototyperna visar att en nuvarande teknisk begränsning som volymanpassning kan genom vidareutveckling av tekniken öka användarvänligheten avsevärt. Testerna visar även att användarupplevelsen ökar om användaren blir medveten om vad som faktiskt kan göras med VUI, vilket leder till ytterligare förenklingar i vardagen.
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Bengtsson, Camilla, and Caroline Englund. "“Do you want to take a short survey?” : Evaluating and improving the UX and VUI of a survey skill in the social robot Furhat: a qualitative case study." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76923.

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The purpose of this qualitative case study is to evaluate an early stage survey skill developed for the social robot Furhat, and look into how the user experience (UX) and voice user interface (VUI) of that skill can be improved. Several qualitative methods have been used: expert evaluations using heuristics for human-robot interaction (HRI), user evaluations including observations and interviews, as well as a quantitative questionnaire (RoSAS – Robot Social Attribution Scale). The empirical findings have been classified into the USUS Evaluation Framework for Human-Robot Interaction. The user evaluations were performed in two modes, one group of informants talked and interacted with Furhat with the support of a graphical user interface (GUI), and the other group without the GUI. A positive user experience was identified in both modes, showing that the informants found interacting with Furhat a fun, engaging and interesting experience. The mode with the supportive GUI could be suitable in noisy environments, and for longer surveys with many response alternatives to choose from, whereas the other mode could work better for less noisy environments and for shorter surveys. General improvements that can contribute to a better user experience in both modes were found; such as having the robot adopt a more human-like character when it comes to the dialogue and the facial expressions and movements, along with addressing a number of technical and usability issues.
Syftet med den här kvalitativa fallstudien är att utvärdera en enkätskill för den sociala roboten Furhat. Förutom utvärderingen av denna skill, som är i ett tidigt skede av utvecklingen, är syftet även att undersöka hur användarupplevelsen (UX) och röstgränssnittet (VUI) kan förbättras. Olika kvalitativa metoder har använts: expertutvärderingar med heuristik för MRI (människa-robot-interaktion), användarutvärderingar bestående av observationer och intervjuer, samt ett kvantitativt frågeformulär (RoSAS – Robot Social Attribution Scale). Resultaten från dessa har placerats in i ramverket USUS Evaluation Framework for Human- Robot Interaction. Användarutvärderingarna utfördes i två olika grupper: en grupp pratade och interagerade med Furhat med stöd av ett grafiskt användargränssnitt (GUI), den andra hade inget GUI. En positiv användarupplevelse konstaterades i båda grupperna: informanterna tyckte att det var roligt, engagerande och intressant att interagera med Furhat. Att ha ett GUI som stöd kan passa bättre för bullriga miljöer och för längre enkäter med många svarsalternativ att välja bland, medan ett GUI inte behövs för lugnare miljöer och kortare enkäter. Generella förbättringar som kan bidra till att höja användarupplevelsen hittades i båda grupperna; till exempel att roboten bör agera mer människolikt när det kommer till dialogen och ansiktsuttryck och rörelser, samt att åtgärda ett antal tekniska problem och användbarhetsproblem.
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Hellman, David. "Managing the Expectations of Voice-Controlled Access Solutions." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161430.

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Voice is the primary tool of communication to a majority of people on earth. Humans are wired to process speech, meaning voice interaction require little cognitive effort. Advancements in voice technology over the last 20 years have seen an increased prevalence of voice-controlled applications. However, false expectations can potentially cause severe interaction deficiencies to many of these voice user interfaces. One of the many application areas being connected to voice is access solutions such as smart locks. With a fundamental value proposition of keeping people and their belongings safe and secure in convenient ways, access solutions require that many of the design decisions are delicate. The present thesis aimed to evaluate how expectations of access solutions in home environments can be affected by different voice attributes. A literature study was conducted to explore the rich body of research on the topic of voice technology and the psychological effects of synthesized speech. Based on the literature study, a design process with recognized methods for developing voice user interfaces was conducted. The design process led up to a Wizard of Oz test that was used to evaluate how different conversational strategies and voices affected expectations and perception of a voice-controlled smart lock. The results showed that choosing an appropriate conversational style is fundamental to provide users with a sense of control. Furthermore, the study provided insight on how previous experience of interacting with voice-controlled devices have an impact on the feeling of personalization in gendered synthesized voices. Finally, the study discusses some ethical considerations that have to be made when designing voice user interfaces that ultimately should provide value to users, not confine their privacy.
Röst är den primära kommunikationskällan för de flesta människorna på jorden. Förmågan att bearbeta tal är något människor föds med, vilket gör att interaktion genom röst kräver liten kognitiv ansträngning. Framsteg inom röstteknologi under de senaste 20 åren har lett till ett ökat utbud av röststyrda applikationer. För många av dessa röststyrda applikationer existerar en risk att falska förväntningar leder till avsevärt försämrad interaktion. Ett av många applikationsområden där röst börjar framträda är accesslösningar såsom smarta lås. Med sitt fundamentala värde att hålla människor och deras tillgångar trygga och säkra utan att kompromissa enkelheten, kräver utformningen av accesslösningar flera delikata beslut. Därmed har studien ämnat att utvärdera hur användares förväntningar på röststyrda accesslösningar påverkas av röstattribut. För att undersöka och öka förståelsen av röstteknologi och de psykologiska effekterna av tal, genomfördes en litteraturstudie av existerande forskning initialt. Baserat på fynden i litteraturstudien startades sedan en designprocess för utveckling av ett röstgränssnitt. Erkända metoder användes för framtagandet av ett användarvänligt gränssnitt. Designprocessen låg till grund för ett Wizard of Oz test där olika konversationsstrategier och röster påverkade förväntningar av och uppfattningen av ett röststyrt smart lås. Resultaten visar att det är fundamentalt att välja en passande konversationsstil för att ge användare en känsla av kontroll. Studien påvisade även hur tidigare erfarenheter av röststyrda applikationer påverkar förväntningar av andra röststyrda applikationer och gör dem mer eller mindre personliga. Vidare diskuteras etiska avvägningar som måste göras när man designar röstgränssnitt som ska medföra användarvärde och inte inskränka användarnas integritet.
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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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Books on the topic "Voice-user interface (VUI)"

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Meisel, William. VUI Visions: Expert Views on Effective Voice User Interface Design. TMA Associates, 2006.

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Book chapters on the topic "Voice-user interface (VUI)"

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Dasgupta, Ritwik. "Introduction to VUI." In Voice User Interface Design, 1–11. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4125-7_1.

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Dasgupta, Ritwik. "Principles of VUI." In Voice User Interface Design, 13–37. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4125-7_2.

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Meng, Fangang, Peiyao Cheng, and Yiran Wang. "Voice User-Interface (VUI) in Automobiles: Exploring Design Opportunities for Using VUI Through the Observational Study." In HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility, 40–50. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50537-0_4.

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Cackett, Megan, Laura Fulton, and David Pearl. "Sound as an Interface, Methods to Evaluate Voice User Interface (VUI) Experiences in Various Contexts." In Proceedings of the Future Technologies Conference (FTC) 2022, Volume 2, 120–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18458-1_9.

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Jeong, Jaeyeol, and Dong-Hee Shin. "It’s not What It Speaks, but It’s How It Speaks: A Study into Smartphone Voice-User Interfaces (VUI)." In Human-Computer Interaction: Interaction Technologies, 284–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20916-6_27.

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Salvador, Valéria Farinazzo Martins, João Soares de Oliveira Neto, and Marcelo de Paiva Guimarães. "Evaluating Voice User Interfaces in Ubiquitous Applications." In Designing Solutions-Based Ubiquitous and Pervasive Computing, 44–58. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-843-2.ch003.

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In the current trend of applications going more and more ubiquitous, it is necessary to determine some characteristics, requirements and properties that must be assured in order that the application provides quality service to its users. This chapter describes a study on the evaluation of Voice User Interface (VUI) in Ubiquitous Applications and discusses some of issues which may impact the evaluation process when using the voice as a natural way of interacting with computers. The authors present a set of guidelines and usability principles that should be considered when developing VUIs for Ubiquitous Applications. Finally, they present the results of a case study which was performed in order to test and exemplify the concepts presented here.
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Conference papers on the topic "Voice-user interface (VUI)"

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Kang, Byung-Seok, Sangheon Pack, Han-Shik Kim, and Chul-Hee Kang. "Experimental Study of Voice User Interface (VUI) System Using VoiceXML." In Third International Conference on Semantics, Knowledge and Grid (SKG 2007). IEEE, 2007. http://dx.doi.org/10.1109/skg.2007.90.

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Kang, Byung-Seok, Sangheon Pack, Han-Shik Kim, and Chul-Hee Kang. "Experimental Study of Voice User Interface (VUI) System Using VoiceXML." In Third International Conference on Semantics, Knowledge and Grid (SKG 2007). IEEE, 2007. http://dx.doi.org/10.1109/skg.2007.227.

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SYROVÁTKOVÁ, JANA, and ANTONÍN PAVLÍČEK. "Systemic Approach to Voice User Interface (Vui) and its Consequences." In System approaches’18. University of Economics, Prague, Nakladatelství Oeconomica, 2018. http://dx.doi.org/10.18267/pr.2018.pav.2247.7.

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Sin, Jaisie, Cosmin Munteanu, Numrita Ramanand, and Yi Rong Tan. "VUI Influencers: How the Media Portrays Voice User Interfaces for Older Adults." In CUI '21: CUI 2021 - 3rd Conference on Conversational User Interfaces. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469595.3469603.

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Huertas Lopez, Manuel, and Agustín Núñez Castain. "Artificial intelligence agent to assist the telescope operation as a troubleshooter using a voice-user interface." In Software and Cyberinfrastructure for Astronomy VI, edited by Juan C. Guzman and Jorge Ibsen. SPIE, 2020. http://dx.doi.org/10.1117/12.2560948.

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