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Academic literature on the topic 'Conversational Assistants'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Conversational Assistants"

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Huang, Ting-Hao, Walter Lasecki, Amos Azaria, and Jeffrey Bigham. ""Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (September 21, 2016): 79–88. http://dx.doi.org/10.1609/hcomp.v4i1.13292.

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Intelligent conversational assistants, such as Apple's Siri, Microsoft's Cortana, and Amazon's Echo, have quickly become a part of our digital life. However, these assistants have major limitations, which prevents users from conversing with them as they would with human dialog partners. This limits our ability to observe how users really want to interact with the underlying system. To address this problem, we developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system. Chorus sophisticatedly converses with end users over time by recruiting workers on demand, which in turn decide what might be the best response for each user sentence. Up to the first month of our deployment, 59 users have held conversations with Chorus during 320 conversational sessions. In this paper, we present an account of Chorus' deployment, with a focus on four challenges: (i) identifying when conversations are over, (ii) malicious users and workers, (iii) on-demand recruiting, and (iv) settings in which consensus is not enough. Our observations could assist the deployment of crowd-powered conversation systems and crowd-powered systems in general.
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Ortiz, Charles L. "Holistic Conversational Assistants." AI Magazine 39, no. 1 (March 27, 2018): 88–90. http://dx.doi.org/10.1609/aimag.v39i1.2771.

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This column describes work being done at Nuance Communication in developing virtual personal assistants (VPAs) that can engage in extended task center dialogues and the involve the coordination of many complex modules, along with conversational and collaborative support to such VPAs.
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Bickmore, Timothy W., Stefán Ólafsson, and Teresa K. O'Leary. "Mitigating Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: Exploratory Mixed Methods Experiment." Journal of Medical Internet Research 23, no. 11 (November 9, 2021): e30704. http://dx.doi.org/10.2196/30704.

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Background Prior studies have demonstrated the safety risks when patients and consumers use conversational assistants such as Apple’s Siri and Amazon’s Alexa for obtaining medical information. Objective The aim of this study is to evaluate two approaches to reducing the likelihood that patients or consumers will act on the potentially harmful medical information they receive from conversational assistants. Methods Participants were given medical problems to pose to conversational assistants that had been previously demonstrated to result in potentially harmful recommendations. Each conversational assistant’s response was randomly varied to include either a correct or incorrect paraphrase of the query or a disclaimer message—or not—telling the participants that they should not act on the advice without first talking to a physician. The participants were then asked what actions they would take based on their interaction, along with the likelihood of taking the action. The reported actions were recorded and analyzed, and the participants were interviewed at the end of each interaction. Results A total of 32 participants completed the study, each interacting with 4 conversational assistants. The participants were on average aged 42.44 (SD 14.08) years, 53% (17/32) were women, and 66% (21/32) were college educated. Those participants who heard a correct paraphrase of their query were significantly more likely to state that they would follow the medical advice provided by the conversational assistant (χ21=3.1; P=.04). Those participants who heard a disclaimer message were significantly more likely to say that they would contact a physician or health professional before acting on the medical advice received (χ21=43.5; P=.001). Conclusions Designers of conversational systems should consider incorporating both disclaimers and feedback on query understanding in response to user queries for medical advice. Unconstrained natural language input should not be used in systems designed specifically to provide medical advice.
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Geetha, Dr V., Dr C. K. Gomathy*, Mr Kottamasu Manasa Sri Vardhan, and Mr Nukala Pavan Kumar. "The Voice Enabled Personal Assistant for Pc using Python." International Journal of Engineering and Advanced Technology 10, no. 4 (April 30, 2021): 162–65. http://dx.doi.org/10.35940/ijeat.d2425.0410421.

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Personal Assistants, or conversational interfaces, or chat bots reinvent a new way for individuals to interact with computes. A Personal Virtual Assistant allows a user to simply ask questions in the same manner that they would address a human, and are even capable of doing some basic tasks like opening apps, reading out news, taking notes etc., with just a voice command. Personal Assistants like Google Assistant, Alexa, Siri wo
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Beaver, Ian, and Abdullah Mueen. "On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI." AI Magazine 42, no. 4 (January 12, 2022): 29–42. http://dx.doi.org/10.1609/aimag.v42i4.15101.

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With the rise of intelligent virtual assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize improvements to the IVA. As human analysis is time consuming and expensive, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds IVA improvement. In addition, less conversations reviewed by humans mean less user data are exposed, increasing privacy. We describe Trace AI, a scalable system for automated conversation review based on the detection of conversational features that can identify potential miscommunications. Trace AI provides IVA designers with suggested actions to correct understanding errors, prioritizes areas of language model repair, and can automate the review of conversations. We discuss the system design and report its performance at identifying errors in IVA understanding compared to that of human reviewers. Trace AI has been commercially deployed for over 4 years and is responsible for significant savings in human annotation costs as well as accelerating the refinement cycle of deployed enterprise IVAs.
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Hwang, Inseok, Youngki Lee, Chungkuk Yoo, Chulhong Min, Dongsun Yim, and John Kim. "Towards Interpersonal Assistants: Next-Generation Conversational Agents." IEEE Pervasive Computing 18, no. 2 (April 1, 2019): 21–31. http://dx.doi.org/10.1109/mprv.2019.2922907.

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Almousa, Omar Saad, Hazem Migdady, and Mohammad Al-Talib. "Conversational Frames." International Journal of Embedded and Real-Time Communication Systems 11, no. 4 (October 2020): 104–33. http://dx.doi.org/10.4018/ijertcs.2020100106.

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This paper extends the previous work of Almousa and Migdady by proposing and implementing three models to improve the correctness and naturality of the given answers of smart personal assistants (SPAs). The motivation behind the three proposed models is the failure of some well-known existing SPAs (Siri and Salma) to extract contextual information from a conversation. The authors call this kind of information: the conversational frame. For evaluating the suggested models, the authors also implement an abstraction of the existing SPAs that they call non-framed model. To evaluate the four implementations, 36 respondents answered an on-line questionnaire after watching four videos that the authors recorded per implementation. The authors statistically prove that their three suggested models precede the non-framed model. The researchers attribute this to the fact that our models overcome the shortcoming present in non-framed model. Moreover, their model that implements the conversational frame precedes all other models.
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Kraus, Matthias, Nicolas Wagner, Zoraida Callejas, and Wolfgang Minker. "The Role of Trust in Proactive Conversational Assistants." IEEE Access 9 (2021): 112821–36. http://dx.doi.org/10.1109/access.2021.3103893.

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Krommyda, Maria, and Verena Kantere. "Semantic Analysis for Conversational Datasets: Improving Their Quality Using Semantic Relationships." International Journal of Semantic Computing 14, no. 03 (September 2020): 395–422. http://dx.doi.org/10.1142/s1793351x2050004x.

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As more and more datasets become available, their utilization in different applications increases in popularity. Their volume and production rate, however, means that their quality and content control is in most cases non-existing, resulting in many datasets that contain inaccurate information of low quality. Especially, in the field of conversational assistants, where the datasets come from many heterogeneous sources with no quality assurance, the problem is aggravated. We present here an integrated platform that creates task- and topic-specific conversational datasets to be used for training conversational agents. The platform explores available conversational datasets, extracts information based on semantic similarity and relatedness, and applies a weight-based score function to rank the information based on its value for the specific task and topic. The finalized dataset can then be used for the training of an automated conversational assistance over accurate data of high quality.
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Parikh, Soham, Quaizar Vohra, and Mitul Tiwari. "Automated Utterance Generation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 08 (April 3, 2020): 13344–49. http://dx.doi.org/10.1609/aaai.v34i08.7047.

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Conversational AI assistants are becoming popular and question-answering is an important part of any conversational assistant. Using relevant utterances as features in question-answering has shown to improve both the precision and recall for retrieving the right answer by a conversational assistant. Hence, utterance generation has become an important problem with the goal of generating relevant utterances (sentences or phrases) from a knowledge base article that consists of a title and a description. However, generating good utterances usually requires a lot of manual effort, creating the need for an automated utterance generation. In this paper, we propose an utterance generation system which 1) uses extractive summarization to extract important sentences from the description, 2) uses multiple paraphrasing techniques to generate a diverse set of paraphrases of the title and summary sentences, and 3) selects good candidate paraphrases with the help of a novel candidate selection algorithm.
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Dissertations / Theses on the topic "Conversational Assistants"

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Mavridis, Nikolaos. "Grounded Situation Models for Situated Conversational Assistants." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/38523.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 259-267).
A Situated Conversational Assistant (SCA) is a system with sensing, acting and speech synthesis/recognition abilities, which engages in physically situated natural language conversation with human partners and assists them in carrying out tasks. This thesis addresses some prerequisites towards an ideal truly cooperative SCA through the development of a computational model of embodied, situated language agents and implementation of the model in the form of an interactive, conversational robot. The proposed model produces systems that are capable of a core set of situated natural language communication skills, and provides leverage for many extensions towards the ideal SCA, such as mind reading skills. The central idea is to endow agents with a sensor-updated "structured blackboard" representational structure called a Grounded Situation Model (GSM), which is closely related to the cognitive psychology notion of situation models. The GSM serves as a workspace with contents similar to a "theatrical stage" in the agent's "mind". The GSM may be filled either with the contents of the agent's present here-and-now physical situation, or a past situation that is being recalled, or an imaginary situation that is being described or planned.
(cont.) Furthermore, the GSM contains descriptions of both physical (such as objects) as well as mental aspects of situations (such as beliefs of others). Most importantly, the proposed GSM design enables bidirectional translation between linguistic descriptions and perceptual data / expectations. To demonstrate viability, an instance of the model was implemented on a manipulator robot with touch, vision, and speech synthesis/recognition. The robot grasps the semantics of a range of words and speech acts related to cooperative manipulation of objects on a table top situated between the robot and human. The robot's language comprehension abilities are comparable to those implied by a standard and widely used test of children's language comprehension (the Token Test), and in some directions also surpass those abilities. Not only the viability but also the effectiveness of the GSM proposal is thus demonstrated, through a real-world autonomous robot that performs comparably to those capabilities of a normally-developing three-year old child which are assessed by the token test.
by Nikolaos Mavridis.
Ph.D.
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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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Kozlova, Iryna. "Negotiation of Identities by International Teaching Assistants through the Use of Humor in University Classrooms." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/alesl_diss/2.

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Research on international teaching assistants (ITAs) often highlights that ITAs have at least two identities, an identity of a teacher and a student (e.g., Jenkins, 2000). Since American classrooms foster a variety of behaviors that are negotiated by instructors and students, ITAs may identify themselves with students during behavior negotiation when building rapport, especially by exchanging jokes (Unger-Gallagher, 1991). Making their student identity relevant may distort the teacher-student relationship, which ITAs might need to renegotiate. Little research has been done to show whether ITA student identity actually emerges and if does, then how. This study addresses the questions of what attributes of ITA's identities emerge during humorous exchanges with their students, how these attributes shape the teacher-student relationship, and what role humor plays in the identity negotiation process between the ITAs and their students in the university classroom. Four ITAs, all non-native English speakers, participated in this microethnographic study. This study informs research on social identity in that, most of the time, participants made the attributes of their teacher identity relevant, with teacher authority emerging as the most important attribute. While enacting their teacher identity through humorous exchanges, ITAs built rapport and created affiliation with their students. Although humor led to establishing good relationships, it did not lead to the emergence of ITA student identity. This study also contributes to research on humor in that it makes a distinction between the concepts of the target and the butt which allows for deeper understanding of how humor is used to negotiate identity. It also introduces the target switch, or a particular type of counter teasing, in which the initial target redirects humorous aggression to the teaser, thus making her/him the target and a potential butt of the tease. An optimistic finding for ITA research and research on the use of humor by non-native speakers is that even without extensive experience with American culture in general, ITAs can use humor rooted in the local context to negotiate different classroom behaviors and their identities with their students.
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Fernández, Canales Rocío Daniela, and Salvador Gianfranco Monzón. "Implementación de un capacitador virtual para visitadores médicos con integración de un asistente de voz." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/652326.

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La creciente popularidad y las capacidades mejoradas de los asistentes personales inteligentes, como Google Assistant, Siri y Alexa, han permitido su aplicación en numerosos campos, algunos de los cuales son: servicio al cliente, banca y turismo. No obstante, la aplicación de estos asistentes para la capacitación y el aprendizaje de trabajadores profesionales ha sido limitada y no ha sido bien investigada.   El presente documento validará la propuesta de una solución para la capacitación continua y el aprendizaje de los visitadores médicos sobre la información de los medicamentos mediante el uso de un agente de conversación basado en la voz. Esto permitirá que los representantes de ventas farmacéuticas puedan preguntar al agente acerca de las propiedades de los medicamentos y realizar exámenes frecuentes sobre la información disponible para verificar su conocimiento. Esta validación se realizará a través del seguimiento y aplicación de una metodología de investigación centrada en las soluciones y arquitecturas existentes que brinden una base para iniciar el desarrollo del proyecto.
The increasing popularity and enhanced capabilities of intelligent personal assistants, such as Google Assistant, Siri, and Alexa, have allowed them to disrupt in many fields, some of which are: customer service, banking, and tourism. Notwithstanding, the application of intelligent personal assistants for training and learning of professional workers has been limited and not well researched. This document will validate the proposal of a solution for the continuous training and learning of the medical visitors on the information of the medications using a voice-based conversation agent. This will allow pharmaceutical sales representatives to ask the agent about the properties of the drugs and conduct frequent reviews of the information available to verify their knowledge. This validation will be carried out through the monitoring and application of a research methodology focused on the existing solutions and architectures that provide a basis to start the development of the project.
Trabajo de investigación
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Fuckner, Márcio. "A personal assistant for the enactment of business processes." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2270/document.

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Ces dernières années, les progrès en sciences de la gestion et de l’information ont transformé la Gestion de Processus d’Affaires (Business Process Management, BPM) en un sujet important, tant du côté de l’industrie que de celui de la recherche. Le BPM utilise des processus métiers pour améliorer la performance opérationnelle des organisations. Les processus métiers établissent un lien entre les personnes, les systèmes, et les différentes organisations, dans le but de créer de la valeur pour les parties prenantes. La cible de notre travail est la famille des systèmes BPM. Un système BPM est un système logiciel générique guidé par des modèles explicites de processus métier avec pour objectif d’exécuter et de gérer des processus opérationnels. Malgré le vaste éventail de sujets traités par ce domaine de recherche, il reste encore quelques questions qui méritent une étude plus approfondie. Un problème particulier concerne la médiation entre les systèmes BPM et les humains. L’interaction homme-machine dans ces systèmes repose sur des interfaces standard basées sur des listes de taches et des formulaires, ce qui est très contraignant pour les utilisateurs.Ceux-ci ont non seulement des difficultés à exécuter leurs processus métier, mais aussi a trouver le processus métier le mieux adapté à leurs besoins. Il serait beaucoup plus efficace d’utiliser des dialogues en langage naturel. Malheureusement les langages de modélisation de processus ne permettent pas de capturer ni de modéliser un domaine de discours. Le travail présent propose une approche originale de gestion du dialogue basée sur des systèmes multi-agents pour l’exécution des processus métier. La motivation globale pour ce travail fut de concevoir un modèle de dialogue extensible à différents domaines. Ce modèle s’appuie sur les ontologies de domaine, nécessitant un minimum d’effort d’adaptation pour améliorer l’interaction. Les résultats montrent tout le potentiel de notre approche multi-agent pour réaliser une médiation automatiquement, sans qu’il soit nécessaire de reconstruire les modèles de processus métier
Over the last few years, the advances in management science and information technology have transformed the business process management (BPM) discipline into an important topic for both industry and academy. BPM uses business processes as the means for improving the operational performance of organizations, and setting processes are at the heart of BPM allows linking together people, systems, and different organizations to deliver value to stakeholders. The target of our work is the family of BPM systems. A BPM system is a generic software system that is driven by explicit process designs to enact and manage operational business processes. Despite the wide range of topics addressed by the academy on business processes, there are still aspects not addressed by prior research. A particular problem in this regard is the mediation between BPM systems and humans. Human interaction in those systems follows a standard user interface based predominantly on work item lists and forms. Thus, there is little room for creativity for users. They have not only difficulties in enacting their processes but also for searching the most suitable one for their needs. It would be more efficient to let humans interact in natural language. However, process modeling languages are an insufficient means of capturing and representing the domain of discourse. The present thesis develops an original approach to agent dialog management for the problem of business process enactment. The overarching motivation for this work was to design a dialog model scalable to different domains. The model relies on domain and business process ontologies, and necessitates a minimum effort of adaptation on ontologies to improve the interaction. Results indicate the potential of our agent-based approach to generate natural language
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Pecune, Florian. "Modélisation de la prise de décision d'un agent conversationnel animé en fonction de son attitude sociale." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0054.

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Afin d’être considérés comme des partenaires crédibles lors d’une interaction, les agents virtuels doivent transmettre une attitude sociale adéquate. Cette attitude sociale exprimée par l’agent doit refléter la situation dans laquelle il se trouve. L’agent doit donc prendre en compte son rôle et sa relation sociale vis à vis de son interlocuteur lorsqu’il choisit comment réagir au cours de l’interaction. Afin de construire un tel agent capable de raisonner en fonction de son rôle et de sa relation, et capable d’adapter son attitude sociale, nous avons construit un modèle de prise de décision sociale. Dans un premier temps, nous formalisons la dynamique de la relation sociale à travers une combinaison de buts et de croyances. Puis, nous définissons un modèle de prise de décision basé sur les buts sociaux et situationnels de l’agent. Pour finir, nous avons réalisé une étude perceptive dans un contexte d’interaction tuteur/enfant virtuels au cours de laquelle les participants évaluaient l’attitude sociale du tuteur envers l’enfant. La relation sociale et le rôle social du tuteur étaient manipulés par notre modèle. Les résultats montrent qu’à la fois le rôle et la relation du tuteur ont une influence sur son attitude sociale perçue
To be perceived as believable partners in human-machine interactions, virtual agents have to express adequate social attitudes. The social attitude expressed by an agent should reflect the social situation of the interaction. The agent ought to take into account its role and its social relation toward its interactants when deciding how to react in the interaction. To build such an agent able to reason about its role and relation and to adapt its social attitude, we built a model of social decision making. First, we formalized the dynamics of the social relation through a combination of goals and beliefs. Then, we designed a decision making model based on the social goals and the situational goals of the agent. Finally, we conducted an empirical study in the context of virtual tutor-child interaction where participants evaluated the tutor’s perceived social attitude towards the child while the tutor’s social role and relation were manipulated by our model. Results showed that both role and social relation have an influence on the agent’s perceived social attitude
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Rystedt, Beata, and Mia Zdybek. "Conversational agent as kitchen assistant." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230904.

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Chatbots, also called conversational agents, with speech interfaces are being used to a greater and greater extent, but there are still many areas that are not completely explored. The idea of this project was born out of the belief that there is a need for an assistant in the kitchen that is able to search for recipes, answer questions regarding them and guide and assist the user throughout the cooking process, all through conversation since the hands are busy. This paper begins with an introduction in the subject of conversational agents and the related technology, then similar, already existing studies and methods are presented with their pros and cons. After follows an in-depth explanation on how the program was constructed into a working kitchen assistant. Lastly, the users’ experiences of the performance and usability of the program was evaluated through tests and discussed. It turns out that conversational agents definitely can be integrated in the kitchen, and according to several sources, in a few years they will be implemented in all possible areas and change the technology of our time.
Konversationsrobotar med talgränssnitt används i allt större och större utsträckning men det finns fortfarande många områden som inte är helt utforskade. Idén till det här arbetet föddes ur uppfattningen att det existerar ett behov av en hjälpreda till köket som kan söka recept, svara på frågor kring receptet och vägleda och hjälpa användaren genom hela matlagningsprocessen i muntligt form eftersom händerna är upptagna med annat. Det här arbetet börjar med en introduktion i ämnet kring konversationsrobotar och tekniken bakom, sedan presenteras liknande arbeten och metoder som redan existerar inom området. Sedan följer en djupdykning i hur det framtagna programmet i detta arbete utvecklats fram till en fungerande matlagningsassisten. Till slut presenteras och diskuteras upplevelsen och användbarheten av konversationsroboten hos människor baserat på tester som gjorts. Det visar sig att konversationsrobotar mycket väl kan vara av användning i köket, och enligt flera källor kommer de att inom en snar framtid lavinartat implementeras i alla möjliga områden och förändra tekniken i vårt samhälle.
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Beaver, Ian. "Automatic Conversation Review for Intelligent Virtual Assistants." Thesis, The University of New Mexico, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10816823.

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When reviewing the performance of Intelligent Virtual Assistants (IVAs), it is desirable to prioritize conversations involving misunderstood human inputs. These conversations uncover error in natural language understanding and help prioritize and expedite improvements to the IVA. As human reviewer time is valuable and manual analysis is time consuming, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds improvement. A system for measuring the posthoc risk of missed intent associated with a single human input is presented. Numerous indicators of risk are explored and implemented. These indicators are combined using various means and evaluated on real world data. In addition, the ability for the system to adapt to different domains of language is explored. Finally, the system performance in identifying errors in IVA understanding is compared to that of human reviewers and multiple aspects of system deployment for commercial use are discussed.

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Chi, Pei-Yu S. M. Massachusetts Institute of Technology. "Raconteur : intelligent assistance for conversational storytelling with media libraries." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61944.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 99-103).
People who are not professional storytellers sometimes have difficulty putting together a coherent and engaging story, even when it is about their own experiences. However, consider putting the same person in a conversation with a sympathetic, interested and questioning listener, suddenly the story comes alive. There's something about the situation of being in a conversation that encourages people to stay on topic, make coherent points, and make the story interesting for a listener. Raconteur is a system for conversational storytelling between a storyteller and a viewer. It provides intelligent assistance in illustrating a life story with photos and videos from a personal media library. Raconteur performs natural language processing on a text chat between two users and recommends appropriate media items from the annotated library, each file with one or a few sentences in unrestricted English. A large commonsense knowledge base and a novel commonsense inference technique are used to understand event relations and determine narration similarity using concept vector computation that goes beyond keyword matching or word co-occurrence based techniques. Furthermore, by identifying larger scale story patterns such as problem and resolution or expectation violation, it assists users in continuing the chatted story coherently. A small user study shows that people find Raconteur's suggestions helpful in real-time storytelling and its interaction design engaging to explore stories together.
by Pei-Yu (Peggy) Chi.
S.M.
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Paisley, Lisa Nicole. "The Role of Conversation in How Educational Services Assistant Superintendents Lead Change." Thesis, Brandman University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10749555.

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Purpose: The purpose of this phenomenological research study was to describe the behaviors that exemplary educational services assistant superintendents practice to lead their organizations through conversation as depicted by Groysberg and Slind’s (2012b) 4 elements of conversational leadership: intimacy, interactivity, inclusion, and intentionality.

Methodology: A qualitative, phenomenological approach was used in this study in order to describe the lived experiences and behaviors of exemplary leaders. The target population was educational services assistant superintendents in Southern California. Participants were selected using a purposeful, nonprobability, convenience sampling. Data gathering took the form of semistructured, in-depth interviews, observations, and artifact collection. Interviews were conducted using a protocol designed by the team of collaborative peer researchers in order to gain insight into leaders’ perceptions of their conversational leadership experiences. Triangulation with observational notes and artifacts served to increase the validity of interview data. All data were entered into NVivo software to assist in analyzing patterns and predicting themes for coding.

Findings: Close analysis of interview notes and transcripts, observations, and artifacts resulted in total of 25 themes and 447 frequencies among the 4 elements of conversational leadership. Ten key findings were identified across the areas of intimacy, interactivity, inclusion, and intentionality.

Conclusions: The study supported the 4 elements of conversational leadership proposed by Groysberg and Slind (2012b) and identified specific behaviors that exemplary leaders practice within each. Four conclusions were drawn based on the data and findings. Educational services assistant superintendents who want to become transformational conversational leaders should (a) practice careful listening to create an environment of trust and support intimate communication structures within their organizations, (b) facilitate a variety of collaborative groups using a process for the exchange of ideas to establish dynamically interactive organizations, (c) invite shared leadership opportunities to nurture a climate of inclusivity, and (d) continually focus conversation of the organization’s purpose to ensure collective understanding and clarity of direction.

Recommendations: Further research of private sector leaders and assistant superintendents in regions outside of Southern California should be conducted. In addition, the element of intimacy in the workplace requires more attention in the field of conversational leadership.

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Books on the topic "Conversational Assistants"

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1961-, Cornish Anthony, ed. Secretarial contacts: Communication skills for secretaries and personal assistants. New York: Phoenix ELT, 1996.

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Rozenman, Eric. United States-Israel strategic cooperation: Conversations and comments. Washington, D.C. (1100 17th St. NW, Suite 330, Washington 20036): Jewish Institute for National Security Affairs, 1989.

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United States. Federal Emergency Management Agency and Public Entity Risk Institute, eds. Emergency management in higher education: Current practices and conversations. Fairfax, VA: Public Entity Risk Institute, 2008.

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Hansong, Cai, ed. Shou huo yuan Ying yu: Practical English for shop assistants. Guangzhou Shi: Guangdong lü you chu ban she, 1999.

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Parsloe, Eric. Coaching and mentoring: Practical conversations to improve learning. 2nd ed. London: Kogan Page, 2009.

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Community conversations: Mobilizing the ideas, skills, and passion of community organizations, governments, businesses, and people. 2nd ed. Toronto, ON: BPS Books, 2012.

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Wang, Guan, Xiaoquan Kong, and Alan Nichol. Conversational AI with Rasa: Build, Test, and Deploy AI-Powered, Enterprise-grade Virtual Assistants and Chatbots. Packt Publishing, Limited, 2021.

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Rollins, Pamela Rosenthal. Developmental Pragmatics. Edited by Yan Huang. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199697960.013.6.

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This chapter traces the development of communicative intention, conversation, and narrative in early interaction from infancy to early childhood. True communicative intention commences once the infant acquires the social cognitive ability to share attention and intention with another. The developing child’s pragmatic understanding is reflective of his/her underlying motivations for cooperation and shared intentionality. As children begin to understand others’ mental states, they can take others’ perspectives and understand what knowledge is shared and with whom, moving from joint perceptual focus to more decontextualized communicative intentions. With adult assistance, the young child is able to engage in increasingly more sophisticated conversational exchanges and co-constructed narratives which influence the child’s autonomous capabilities.
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Fitton, Sarah Mary. Conversations on Botany by S. M. Fitton with the Assistance of E. Fitton. HardPress, 2020.

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Nikmanesh, Afrouz, and Frank H. Nuessel. On Target: Spanish for Pharmacists and Pharmacist Assistants (On Target Audio CD Packages). Barrons Educational Series, 2008.

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Book chapters on the topic "Conversational Assistants"

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Panasiuk, Oleksandra, Zaenal Akbar, Umutcan Şimşek, and Dieter Fensel. "Enabling Conversational Tourism Assistants Through Schema.org Mapping." In Lecture Notes in Computer Science, 137–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98192-5_26.

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Miehle, Juliana, Nicolas Wagner, Wolfgang Minker, and Stefan Ultes. "Culture-Aware Dialogue Management for Conversational Assistants." In Lecture Notes in Electrical Engineering, 103–15. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8395-7_8.

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Furtado, Elizabeth Sucupira, Francisco Oliveira, and Vládia Pinheiro. "Conversational Assistants and their Applications in Health and Nephrology." In Innovations in Nephrology, 283–303. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11570-7_18.

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Zolitschka, Jan Felix. "A Novel Multi-agent-based Chatbot Approach to Orchestrate Conversational Assistants." In Business Information Systems, 103–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53337-3_8.

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Karimi, Pegah, Kallista Ballard, Pooja Vazirani, Ravi Teja Narasimha Jorigay, and Aqueasha Martin-Hammond. "Designing Conversational Assistants to Support Older Adults’ Personal Health Record Access." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 253–71. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99194-4_17.

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Yaghoubzadeh, Ramin, Karola Pitsch, and Stefan Kopp. "Adaptive Grounding and Dialogue Management for Autonomous Conversational Assistants for Elderly Users." In Intelligent Virtual Agents, 28–38. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21996-7_3.

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Koni, Yusuph J., Mohammed Abdulhakim Al-Absi, Seyitmammet Alchekov Saparmammedovich, and Hoon Jae Lee. "AI-Based Voice Assistants Technology Comparison in Term of Conversational and Response Time." In Intelligent Human Computer Interaction, 370–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68452-5_39.

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Villa, Laura, Ramón Hervás, Dagoberto Cruz-Sandoval, and Jesús Favela. "Design and Evaluation of Proactive Behavior in Conversational Assistants: Approach with the Eva Companion Robot." In Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022), 234–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21333-5_23.

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Motta, Isabela, and Manuela Quaresma. "Exploring the Opinions of Experts in Conversational Design: A Study on Users’ Mental Models of Voice Assistants." In Human-Computer Interaction. User Experience and Behavior, 494–514. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05412-9_34.

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Koebel, Kathrin, Martin Lacayo, Madhumitha Murali, Ioannis Tarnanas, and Arzu Çöltekin. "Expert Insights for Designing Conversational User Interfaces as Virtual Assistants and Companions for Older Adults with Cognitive Impairments." In Chatbot Research and Design, 23–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94890-0_2.

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Conference papers on the topic "Conversational Assistants"

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Bradley, Nick C., Thomas Fritz, and Reid Holmes. "Context-aware conversational developer assistants." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3180155.3180238.

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Lasecki, Walter S. "Real-time conversational crowd assistants." In CHI '13 Extended Abstracts on Human Factors in Computing Systems. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2468356.2479500.

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Ahuja, Sanju, and Jyoti Kumar. "Assistant or Master: Envisioning the User Autonomy Implications of Virtual Assistants." In CUI 2022: 4th Conference on Conversational User Interfaces. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3543829.3544514.

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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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Kann, Amanda. "Voice Assistants Have a Plurilingualism Problem." In CUI 2022: 4th Conference on Conversational User Interfaces. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3543829.3544526.

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Lasecki, Walter S., Phyo Thiha, Yu Zhong, Erin Brady, and Jeffrey P. Bigham. "Answering visual questions with conversational crowd assistants." In ASSETS '13: The 15th International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2513383.2517033.

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Papenmeier, Andrea, Alexander Frummet, and Dagmar Kern. "“Mhm...” – Conversational Strategies For Product Search Assistants." In CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3498366.3505809.

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Yan, Rui. ""Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/778.

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Conversational AI is of growing importance since it enables easy interaction interface between humans and computers. Due to its promising potential and alluring commercial values to serve as virtual assistants and/or social chatbots, major AI, NLP, and Search & Mining conferences are explicitly calling-out for contributions from conversational studies. It is an active research area and of considerable interest. To build a conversational system with moderate intelligence is challenging, and requires abundant dialogue data and interdisciplinary techniques. Along with the Web 2.0, the massive data available greatly facilitate data-driven methods such as deep learning for human-computer conversations. In general, conversational systems can be categorized into 1) task-oriented systems which aim to help users accomplish goals in vertical domains, and 2) social chat bots which can converse seamlessly and appropriately with humans, playing the role of a chat companion. In this paper, we focus on the survey of non-task-oriented chit-chat bots.
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Ma, Xiao, and Ariel Liu. "Challenges in Supporting Exploratory Search through Voice Assistants." In CUI '20: 2nd Conference on Conversational User Interfaces. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3405755.3406152.

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Vtyurina, Alexandra, Denis Savenkov, Eugene Agichtein, and Charles L. A. Clarke. "Exploring Conversational Search With Humans, Assistants, and Wizards." In CHI '17: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3027063.3053175.

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Reports on the topic "Conversational Assistants"

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Ashcroft, John. Technical Assistance on the Application of Risk-based Supervision by CONSAR in Mexico. Inter-American Development Bank, July 2017. http://dx.doi.org/10.18235/0003928.

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This second document of the PLAC Network Technical Assistance Document Series is entitled “Technical assistance on the application of risk-based supervision by CONSAR in Mexico”, and sets out some observations and questions regarding the implementation of risk-based supervision (RBS) by CONSAR in Mexico. The evidence was gathered from a desk review of papers and a visit from 1 to 9 June 2017 with meetings and conversations with management and staff of CONSAR and representatives of three pension fund management companies (AFOREs).
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In Conversation… Assistant Professor Dr. Dienke Bos on Neuroimaging. ACAMH, July 2020. http://dx.doi.org/10.13056/acamh.12396.

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Dr. Bos looks at the typical development of behavioural control and how this is represented naturally, magnetic resonance imaging to monitor brain changes in relation to childhood development, and where the evidence is that early intervention can slow or reverse damage. Includes transcription, and links.
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‘Longitudinal association between externalising behaviour and frontoamygdalar resting-state functional connectivity’ In conversation Dr. Sandra Thijssen. ACAMH, July 2021. http://dx.doi.org/10.13056/acamh.16224.

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In this podcast we talk to Assistant Professor Dr Sandra Thijjsen about her JCPP paper 'the longitudinal association between externalising behaviour and frontoamygdalar resting-state functional connectivity in late adolescence and young adulthood'.
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