Relevant bibliographies by topics / Assistant conversationnel

Academic literature on the topic 'Assistant conversationnel'

Author: Grafiati
Published: 7 July 2024
Last updated: 7 July 2024

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Contents

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

Journal articles on the topic "Assistant conversationnel":

1

xuetao, Mao, Jean-Paul Sansonnet, and François Bouchet. "Définition d’un agent conversationnel assistant d’applications internet à partir d’un corpus de requêtes." Techniques et sciences informatiques 29, no. 10 (December 30, 2010): 1123–54. http://dx.doi.org/10.3166/tsi.29.1123-1154.

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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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L, Manigandan, and Sivakumar Alur. "Mapping the Research Landscape of Chatbots, Conversational Agents, and Virtual Assistants in Business, Management, and Accounting: A Bibliometric Review." Qubahan Academic Journal 3, no. 4 (December 15, 2023): 502–13. http://dx.doi.org/10.58429/qaj.v3n4a252.

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This bibliometric review aims to map the research landscape of chatbots, conversational agents, and virtual assistants in the business, management, and accounting of the subject area. The review begins by examining the growth of research in this area over time, revealing an increasing interest in the application of chatbots, conversational agents, and virtual assistants in business, management, and accounting contexts. This study aims to contribute to the field of chatbot research by conducting a bibliometric analysis of chatbot, conversational agent and virtual assistant papers available in the Scopus databases. A comprehensive analysis of 378 articles was performed utilizing the Bibliometrix software package. The keywords "Chatbot", "conversational agent" and “virtual assistant” emerged as the most frequently employed terms in the majority of publications. It explores the various domains within which these technologies have been studied, including customer service, marketing, human resources, and financial management.
4

Ansari, Tarique. "Conversational AI Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 1169–72. http://dx.doi.org/10.22214/ijraset.2022.47554.

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Abstract: A conversational assistant is an intelligent conversational computing system designed to mimic human speech to provide automated online guidance and support. The growing benefits of conversational support have led to widespread adoption across many industries to provide virtual support to their customers. Conversation assistance uses methods and algorithms from his two fields of artificial intelligence: natural language processing and machine learning. However, the application has many challenges and limitations. This research reviews recent advances in conversation support using artificial intelligence and natural language processing. We highlight the main challenges and limitations of the current work and provide recommendations for future research investigations.
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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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Khandave, Vrushali. "HOMMIE: CONVERSATIONAL AI ASSISTANT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (April 14, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem30718.

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Conversational AI assistants have witnessed remarkable progress in recent years, transforming human-computer interaction across a spectrum of applications. This paper offers a comprehensive overview of the state-of-the-art techniques, methodologies, and challenges in the field. We examine the core components of conversational AI, including natural language understanding, dialogue management, and response generation. Additionally, we address key challenges such as context modeling, personalization, and ethical considerations. The paper serves as a roadmap for researchers and developers, highlighting current achievements and avenues for future advancements in the dynamic domain of conversational AI. keyword - Conversational AI, NLP, Assistant, Machine Learning, Chatbot
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Minh, Nguyen Thi Hong, and Le Duy Khanh. "Using Artificial Intelligence Tools for Developing Conversational Skills for English Majors." European Modern Studies Journal 8, no. 2 (May 30, 2024): 461–69. http://dx.doi.org/10.59573/emsj.8(2).2024.40.

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Despite the potential of Virtual Conversation Assistants as effective tools for conversing support in developing students’ conversational skills, their presence in Vietnamese schools or universities remains limited, often due to cost constraints, quality of language interaction, and their unpopularity among Vietnamese students. Therefore, it is essential that English language educators seek alternative strategies to offer additional assistance for the enhancement of students' abilities to converse effectively. This experimental study pilots the implementation of Call Annie and Praktika, two artificial intelligence (AI) technologies in a local teacher education university in Vietnam, as an innovative approach to the fostering of students' conversational skills. The research discusses the utilization of two such virtual conversational assistant tools for a group of 14 English major freshmen as the experimental group, examining their impacts on the development of students’ conversational proficiency compared to another 14 students in the control group. The study findings analyzed indicate that there was a remarkable improvement in the experimental group’s conversational skills regarding their initiation of conversation, and their active listening through two AI tools. Moreover, there was also remarkable improvement in their verbal fluency and clarity; which contributed to their adaptability, flexibility, and conversational engagement. Moreover, it suggests further application of AI tools in educational contexts to facilitate the instruction and reinforcement of students' conversational skills, where human expertise seamlessly integrates with the power of AI tools to create a more effectively expanded language learning environment.
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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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Pappula, Sharmila Reddy, and Sathwik Rao Allam. "LLMs for Conversational AI: Enhancing Chatbots and Virtual Assistants." International Journal of Research Publication and Reviews 4, no. 12 (December 9, 2023): 1601–11. http://dx.doi.org/10.55248/gengpi.4.1223.123425.

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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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Journal articles Dissertations / Theses

Dissertations / Theses on the topic "Assistant conversationnel":

1

Bouchet, François. "Conception d'une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant." Phd thesis, Université Paris Sud - Paris XI, 2010. http://tel.archives-ouvertes.fr/tel-00607298.

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Avec le nombre croissant d'utilisateurs novices des applications informatiques, le besoin d'une aide efficace est devenu critique. Afin de répondre à ce besoins, nous suggérons d'utiliser un Agent Conversationnel Assistant (ACA), c'est-à-dire une interface permettant l'utilisation de la langue naturelle (en effet celle-ci est utilisée spontanément dès qu'un problème surgit) ainsi qu'une présence rassurante pour les utilisateurs.Une étude préliminaire détaille la constitution (en combinant la collecte et l'utilisation de thesaurus) d'un corpus de requêtes dont nous justifions le besoin. Ce corpus de 11626 requêtes est comparé avec d'autres corpus existants et nous montrons qu'il couvre le domaine étudié d'aide et que de plus, il contient des requêtes portant d'une part sur le contrôle de l'application et d'autre part des phrases de 'clavardage'. Ce corpus fournit une base saine pour la conception d'un analyseur syntactico-sémantique de requêtes en langage naturel, utilisant un jeu de classes (keys) sémantiques, un jeu de règles d'analyse et un jeu de règles de transformation. En entrée, les requêtes sont exprimées dans un langage formel (DAFT) pour lequel nous proposons une syntaxe et une sémantique. L'analyseur est alors évalué en comparant une annotation manuelle avec les requêtes produites automatiquement et nous étudions l'usage de techniques d'apprentissage supervisé afin d'identifier les classes d'activités conversationnelles. La méthodologie employée est validée via l'intégration d'un ACA dans une application Web existante , dédiée au prototypage collectif de la musique sur Internet. Enfin, nous décrivons l'architecture requise pour implémenter un agent rationnel qui a pour rôle de définir les réactions aux requêtes formelles des usagers, exprimées en DAFT ainsi que le modèle de l'application assistée, mettant ainsi en lumière le besoin d'un modèle cognitif.
2

Leray, David. "D'une famille de composants dialogiques à une méthodologie de synthèse de modèles d'assistance pour un Agent Conversationnel Assistant." Phd thesis, Université Paris Sud - Paris XI, 2009. http://tel.archives-ouvertes.fr/tel-00618732.

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Les travaux effectués dans cette thèse explorent la problématique de la synthèse de modèles d'assistance pour un système d'assistance à l'utilisateur en langue naturelle. Cette problématique est complexe car les modèles utilisés doivent unifier deux visions différentes et parfois contradictoires d'un même objet : l'application en cours d'exécution.L'hypothèse défendue dans ces travaux est que le recours à une représentation, guidée par des traits perceptuels pour organiser les informations, permet de résoudre (en partie) ce problème d'unification. Nous explorons cette hypothèse sur la problématique du regroupement perceptuel de composants d'interface. Pour obtenir cette représentation, nous avons implémenté un algorithme de regroupement perceptuel issu de la théorie de la gestalt. Ces travaux ont permis le développement d'une famille de composants dialogiques utilisables comme éléments de modélisation. Cette famille de composants (Daft-swing), s'insère dans une architecture de traitement de requêtes (Daft). La synthèse de modèles est ensuite traitée dans deux études de cas différentes : la première met en oeuvre l'algorithme de regroupement perceptuel dans le cadre de la synthèse de modèles a partir d'une application web. La deuxième se focalise sur la synthèse de modèles à partir des actions d'un utilisateur. Ces deux outils produisent des modèles utilisant des composants de Daft-Swing directement utilisables par l'architecture Daft et son agent assistant.
3

Leray, David. "D’une famille de composants dialogiques à une méthodologie de synthèse de modèles d’assistance pour un agent conversationnel assistant." Paris 11, 2009. http://www.theses.fr/2009PA112277.

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Les travaux effectues dans cette these explorent la problematique de la synthese de modeles d’assistance pour un systeme d’assistance a l’utilisateur en langue naturelle. Cette problematique est complexe car les modeles utilises doivent unifier deux visions differentes et parfois contradictoires d’un meme objet : l’application en cours d’execution. L’hypothese defendue dans ces travaux est que le recours a une representation, guidee par des traits perceptuels pour organiser les informations, permet de resoudre (en partie) ce probleme d’unification. Nous explorons cette hypothese sur la problematique du regroupement perceptuel de composants d’interface. Pour obtenir cette representation, et nous avons implemente un algorithme de regroupement perceptuel issu de la theorie de la gestalt. Ces travaux ont permis le developpement d’une famille de composants dialogiques utilisables comme elements de modelisation. Cette famille de composants, appelee daft-swing, s’insere dans une architecture de traitement de requetes appelee daft (developpee lors de travaux anterieurs). La synthese de modeles est ensuite traitee dans deux etudes de cas differentes : la premiere, qui a conduit au developpement d’un outil appele dom-filter, met en Œuvre l’algorithme de regroupement perceptuel dans le cadre de la synthese de modeles a partir d’une application web. La deuxieme, qui a conduit au developpement d’un outil appele kiwi, se focalise sur la synthese de modeles a partir des actions d’un utilisateur. Ces deux outils produisent des modeles utilisant des composants de daft-swing directement utilisables par l’architecture daft et son agent assistant
In this thesis we deal with the problem of the synthesis of assistance models dedicated to the support of help systems based on natural language interaction with users of computer applications. This problem is challenging because assistance models have to unify two different, sometimes contradictory, points of view upon the same entity: the application at runtime. The hypothesis defended in this work is that using a perceptual-driven representation to organize information in the assistance model resolves (at least partially) the unification problem. We explore this hypothesis on the issue of perceptual grouping of interface components (or widgets). To obtain the representation, we implement an algorithm derived from the gestalt theory. This work has led to the development of a family of so-called “dialogical components” used as modeling items. This family of components, called daft-swing, fits into a generic architecture of query/answer processing, called daft, developed in previous work. The problematic of perceptual grouping and the synthesis of assistance models are then handled via two case studies: the first one, which led to the development of a software tool called dom-filter, describes the implementation of the perceptual grouping algorithm in the context of an experience of model synthesis from a web application. The second one, which led to the development of a software tool called kiwi, is more focused on the synthesis of models involving user’s actions as the main source of information. Each tool produces assistance models based on daft-swing components. Hence these models are directly embeddable in the daft architecture and can be used by its assisting agent
4

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.
5

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.
6

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
7

Schild, Erwan. "De l’importance de valoriser l’expertise humaine dans l’annotation : application à la modélisation de textes en intentions à l’aide d’un clustering interactif." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0024.

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La tâche d'annotation, nécessaire à l'entraînement d'assistants conversationnels, fait habituellement appel à des experts du domaine à modéliser. Toutefois, l'annotation de données est connue pour être une tâche difficile en raison de sa complexité et sa subjectivité : elle nécessite par conséquent de solides compétences analytiques dans le but de modéliser les textes en intention de dialogue. De ce fait, la plupart des projets d'annotation choisissent de former les experts aux tâches d'analyse pour en faire des "super-experts". Dans cette thèse, nous avons plutôt décidé mettre l'accent sur les connaissances réelles des experts en proposant une nouvelle méthode d'annotation basée sur un Clustering Interactif. Celle-ci se base sur une coopération Homme/Machine, où la machine réalise un clustering pour proposer une base initiale d'apprentissage, et où l'expert annote des contraintes MUST-LINK ou CANNOT-LINK entre les données pour affiner itérativement la base d'apprentissage proposée. Une telle annotation présente l'avantage d'être plus instinctive, car les experts peuvent associer ou différencier les données en fonction de la similarité de leur cas d'usage, permettant ainsi de traiter les données comme ils le feraient professionnellement au quotidien. Au cours de nos études, nous avons pu montrer que cette méthode diminuait sensiblement la complexité de conception d'une base d'apprentissage, réduisant notamment la nécessité de formation des experts intervenant dans un projet d'annotation. Nous proposons une implémentation technique de cette méthode (algorithmes et interface graphique associée), ainsi qu'une étude des paramètres optimaux pour obtenir une base d'apprentissage cohérente en un minimum d'annotation. Nous réalisons également une étude de coûts (techniques et humains) permettant de confirmer que l'utilisation d'une telle méthode est réaliste dans un cadre industriel. De plus, afin que la méthode atteigne son plein potentiel, nous fournissons un ensemble de conseils, notamment : (1) des recommandations visant à cadrer la stratégie d'annotation, (2) une aide à l'identification et à la résolution des divergences d'opinion entre annotateurs, (3) des indicateurs de rentabilité pour chaque intervention de l'expert, et (4) des méthodes d'analyse de la pertinence de la base d'apprentissage en cours de construction. En conclusion, cette thèse offre une approche innovante pour concevoir une base d'apprentissage d'un assistant conversationnel, permettant d'impliquer les experts du domaine métier pour leurs vraies connaissances, tout en leur demandant un minimum de compétences analytiques et techniques. Ces travaux ouvrent ainsi la voie à des méthodes plus accessibles pour la construction de ces assistants
Usually, the task of annotation, used to train conversational assistants, relies on domain experts who understand the subject matter to model. However, data annotation is known to be a challenging task due to its complexity and subjectivity. Therefore, it requires strong analytical skills to model the text in dialogue intention. As a result, most annotation projects choose to train experts in analytical tasks to turn them into "super-experts". In this thesis, we decided instead to focus on the real knowledge of experts by proposing a new annotation method based on Interactive Clustering. This method involves a Human-Machine cooperation, where the machine performs clustering to provide an initial learning base, and the expert annotates MUST-LINK or CANNOT-LINK constraints between the data to iteratively refine the proposed learning base. Such annotation has the advantage of being more instinctive, as experts can associate or differentiate data according to the similarity of their use cases, allowing them to handle the data as they would professionally do on a daily basis. During our studies, we have been able to show that this method significantly reduces the complexity of designing a learning base, notably by reducing the need for training the experts involved in an annotation project. We provide a technical implementation of this method (algorithms and associated graphical interface), as well as a study of optimal parameters to achieve a coherent learning base with minimal annotation. We have also conducted a cost study (both technical and human) to confirm that the use of such a method is realistic in an industrial context. Finally, we provide a set of recommendations to help this method reach its full potential, including: (1) advice aimed at framing the annotation strategy, (2) assistance in identifying and resolving differences of opinion between annotators, (3) rentability indicators for each expert intervention, and (4) methods for analyzing the relevance of the learning base under construction. In conclusion, this thesis provides an innovative approach to design a learning base for a conversational assistant, involving domain experts for their actual knowledge, while requiring a minimum of analytical and technical skills. This work opens the way for more accessible methods for building such assistants
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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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Abstract:
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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Simonin, Jérôme. "Aide en ligne adaptative et assistants conversationnels animés : mise en oeuvre et évaluation ergonomique." Thesis, Nancy 1, 2007. http://www.theses.fr/2007NAN10076/document.

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La thèse vise à évaluer de nouvelles formes d'interaction Homme-Machine. Plus précisément, la thématique générale de ce travail, divisée en deux axes, vise à mettre en oeuvre et à évaluer l'apport d'Agents Conversationnels Animés (ACAs) et d'Interfaces dites "Adaptatives" à l'utilisation d'un logiciel. Ainsi, comportements et réactions d'utilisateurs sont recueillis à l'aide de méthodes ergonomiques et techniques de suivi du regard (eye-tracking). Une approche expérimentale a été adoptée afin d'évaluer l'apport de chaque axe. Pour cela, des participants (étudiants de niveau Licence) ont manipulé un logiciel de création d'animation qui leur était inconnu (Flash) afin de réaliser trois scénarios. Tout au long de leur découverte du logiciel, les participants étaient accompagnés d'un dispositif d'aide intégrant, suivant l'expérimentation, un ACA (fourni par FT R & D) ou une technique d'adaptation (détection d'intention et évolution suivant les connaissances). Les différentes études réalisées montrent que les deux sources d'innovation employées ont été perçues positivement par la majorité des participants. Elles ont montré d'autre part qu'un ACA a un effet rassurant et qu'il peut vraisemblablement être utilisé lors de la prise en main d'un logiciel. Pour le système adaptatif, le fait que le système évolue de manière autonome n'a pas perturbé les participants, mais n'améliore guère les performances
The goal of the thesis is to evaluate new forms of Human-Computer Interaction. More precisely, the general set of themes of this work, divided into two parts at aims implementing and evaluating the contribution of Embodied Conversational Agent (ECAs) and of adaptive interfaces for the use of software. Thus, behaviours and reactions of users are collected using ergonomic methods and eye-tracking technologies. An experimental approach was adopted in order to evaluate the contribution of each part. For that, participants (student of bachelor's degree) handled a software of animation's creation which was unknown for them (Flash) in order to carry out three scenarios. Throughout their exploration of the software, participants were accompanied by a help system. In the first experiment an ECA (provided by FT R & D) enunciate help messages; in the second one a adaptive system (detection of intention and evolution according to knowledge) was used. The various studies carried out show that the two innovations employed were perceived positively by the majority of the participants. They showed in addition that a ECA has a reassuring effect and that it can probably be used in first experiences with a software. For the adaptive system, the fact that the system evolves in an autonomous way did not disturb the participants, but hardly improves the performances
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Simonin, Jérôme Carbonell Noëlle. "Aide en ligne adaptative et assistants conversationnels animés mise en oeuvre et évaluation ergonomique /." Nancy : Université de Nancy 1, 2007. http://www.scd.uhp-nancy.fr/docnum/SCD_T_2007_0076_SIMONIN.pdf.

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Books on the topic "Assistant conversationnel":

1

Stanton, Neville A., Jediah R. Clark, and Kirsten Revell. Human-Automation Interaction Design: Developing a Vehicle Automation Assistant. Taylor & Francis Group, 2021.

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Stanton, Neville A., Jediah R. Clark, and Kirsten Revell. Human-Automation Interaction Design: Developing a Vehicle Automation Assistant. Taylor & Francis Group, 2021.

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Stanton, Neville A., Jediah R. Clark, and Kirsten Revell. Human-Automation Interaction Design: Developing a Vehicle Automation Assistant. Taylor & Francis Group, 2021.

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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.

Book chapters on the topic "Assistant conversationnel":

1

Bors, Luc, Ardhendu Samajdwer, and Mascha van Oosterhout. "Designing a Conversational User Experience." In Oracle Digital Assistant, 17–43. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5422-6_2.

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Ferreira, Rafael, Mariana Leite, David Semedo, and Joao Magalhaes. "Open-Domain Conversational Search Assistant with Transformers." In Lecture Notes in Computer Science, 130–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72113-8_9.

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Darapaneni, Narayana, David Pratap, B. G. Sudha, Rani Mathialagan, and Anwesh Reddy Paduri. "Farmer Assistant Bot - NLP and Conversational AI." In Interdisciplinary Research in Technology and Management, 142–52. London: CRC Press, 2024. http://dx.doi.org/10.1201/9781003430469-18.

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Dolamic, Ljiljana. "Conversational Agents." In Large Language Models in Cybersecurity, 45–53. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54827-7_4.

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AbstractConversational agents (CA) are engaged in interactive conversations with users, providing responses and assistance while combining Natural Language Processing (NLP), Understanding (NLU), and Generating (NLG) techniques. Two tiers of conversational agent derivation from Large Language Models (LLMs) exist. The first tier involves conversational fine-tuning from datasets, representing expected user questions and desired conversational agent responses. The second tier requires manual prompting by human operators and evaluation of model output, which is then used for further fine-tuning. Fine-tuning with Reinforcement Learning from Human Feedback (RLHF) models perform better but are resource-intensive and specific for each model. Another critical difference in the performance of various CA is their ability to access auxiliary services for task delegation.
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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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Messina, Antonio, Agnese Augello, Giovanni Pilato, and Riccardo Rizzo. "BioGraphBot: A Conversational Assistant for Bioinformatics Graph Databases." In Innovative Mobile and Internet Services in Ubiquitous Computing, 135–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61542-4_12.

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Rizk, Yara, Vatche Isahagian, Scott Boag, Yasaman Khazaeni, Merve Unuvar, Vinod Muthusamy, and Rania Khalaf. "A Conversational Digital Assistant for Intelligent Process Automation." In Lecture Notes in Business Information Processing, 85–100. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58779-6_6.

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Buiël, Eric, Jan Lubbers, Willem van Doesburg, and Tijmen Muller. "Tunnel Operator Training with a Conversational Agent-Assistant." In Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 575–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02812-0_66.

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Zhu, Zichen, Liangtai Sun, Jingkai Yang, Yifan Peng, Weilin Zou, Ziyuan Li, Wutao Li, et al. "CAM-GUI: A Conversational Assistant on Mobile GUI." In Communications in Computer and Information Science, 302–15. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0601-3_26.

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Conference papers on the topic "Assistant conversationnel":

1

Leray, David, and Jean Paul Sansonnet. "Librairie de widgets dialogiques pour un agent conversationnel assistant." In the 17th conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1148550.1148593.

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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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Meck, Anna-Maria, Marion Sardone, and Jacqueline Cullmann. "Will the Assistant Become the Driver, and the Driver Become the Assistant?" In CUI '23: ACM conference on Conversational User Interfaces. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3571884.3603753.

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Kostric, Ivica, Krisztian Balog, Tølløv Alexander Aresvik, Nolwenn Bernard, Eyvinn Thu Dørheim, Pholit Hantula, Sander Havn-Sørensen, et al. "DAGFiNN: A Conversational Conference Assistant." In RecSys '22: Sixteenth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3523227.3551467.

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Vijayan, Karthika, and Oshin Anand. "Language-Agnostic Text Processing for Information Extraction." In 12th International Conference on Artificial Intelligence, Soft Computing and Applications. Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.122310.

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Information extraction from multilingual text for conversational AI generally implements natural language understanding (NLU) using multiple language-specific models, which may not be available for low resource languages or code mixed scenarios. In this paper, we study the implementation of multilingual NLU by development of a language agnostic processing pipeline. We perform this study using the case of a conversational assistant, built using the RASA framework. The automatic assistants for answering text queries are built in different languages and code mixing of languages, while doing so, experimentation with different components in an NLU pipeline is conducted. Sparse and dense feature extraction accomplishes the language agnostic composite featurization of text in the pipeline. We perform experiments with intent classification and entity extraction as part of information extraction. The efficacy of the language agnostic NLU pipeline is showcased when (i) dedicated language models are not available for all languages of our interest, and (ii) in case of code mixing. Our experiments delivered accuracies in intent classification of 98.49%, 96.41% and 97.98% for same queries in English, Hindi and Malayalam languages, respectively, without any dedicated language models.
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Meng, Linglong, and Stefan Schaffer. "A Reporting Assistant for Railway Security Staff." In CUI '20: 2nd Conference on Conversational User Interfaces. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3405755.3406164.

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Oewel, Bruna, Tawfiq Ammari, and Robin N. Brewer. "Voice Assistant Use in Long-Term Care." In CUI '23: ACM conference on Conversational User Interfaces. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3571884.3597135.

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Zhang, Minrui, Eleftherios Papachristos, and Timothy Merritt. "Facilitating Mindful Eating with a Voice Assistant." In CUI '23: ACM conference on Conversational User Interfaces. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3571884.3604311.

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Budzikowska, Margo, Joyce Chai, Sunil Govindappa, Veronika Horvath, Nanda Kambhatla, Nicolas Nicolov, and Wlodek Zadrozny. "Conversational sales assistant for online shopping." In the first international conference. Morristown, NJ, USA: Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1072133.1072146.

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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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