Tesis sobre el tema "ChatGPT"
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Jusko, Ján. "Chatbot pro Smart Cities". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403204.
Texto completoJonsson, Sofia y Jenny Bredmar. "Chatbot - Magic in a box? : A study of a chatbot in a Swedish bank". Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355381.
Texto completoAhlström, Sara y Patricia Jansson. "Chatbot den digitalakundtjänstmedarbetaren : En kvalitativ studie kring hur lojalitetsfaktorernapåverkas av konsumentmötet med en chatbot". Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42440.
Texto completoRoghult, Alexander. "Chatbot trained on movie dialogue". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157637.
Texto completoAmilon, Mattias. "Chatbot with common-sense database". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166745.
Texto completoKrantz, Amandus y Petrus Lindblom. "Generating Topic-Based Chatbot Responses". Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14800.
Texto completoTor, Kjäll. "Visualization of Chatbot Survey Results". Thesis, Uppsala universitet, Människa-datorinteraktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414841.
Texto completoNovák, Miroslav. "Chatbot v podnikovém informačním systému". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403114.
Texto completoChoque, Díaz Marilyn Lizet. "Chatbot académico utilizando tecnologías cognitivas". Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2018. http://hdl.handle.net/10757/624418.
Texto completoThis project "Academic chatbot using cognitive technologies" aims to implement a cognitive technology model to enhance academic support services with chatbots at university institutions. The difference between the conventional models and the model proposed in this project lies, apart from being based on cognitive computing, in adding Customer Experience patterns. This could substantially improve the interaction with student, as well as the experience and satisfaction with its university institution. The emergence of new technologies and the pervasiveness of the Internet are providing opportunities for new forms of interaction between customers and service providers. One of these technologies are chatbots capable of responding to customer queries saving time and human work. Chatbots have opened a new door for communication and, above all, in terms of customer service. There is growing expectation about chatbots and how they will affect the future of the customer experience as they are increasingly being used to free humans from their tasks within a customer service center and, although it may seem contradictory, they are helping to provide a more personalized experience. The contribution of this project is the proposal of a cognitive technology model to enhance academic support services with chatbots, which can promote and empower initiatives that facilitate greater use of interaction with the student at Universidad Peruana de Ciencias Aplicadas (UPC).
Tesis
Astistova, T. I. y O. B. Typa. "Chatbot development for Telegram social network". Thesis, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/19330.
Texto completoDinh, Kevin Hoang. "Chatbot : The future of customer feedback". Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42990.
Texto completoDetta är en studie om hur man konvertera en undersökning till en chattbot och sprida den till olika kommunikationskanaler för att samla återkoppling for att förbättra sig själv. Vad skulle vara det bekvämaste sättet att samla återkoppling? Våra dagliga liv blir mer och mer beroende av digitala enheter var dag. Ökningen av digitala enheter leder till ett större utbud av kommunikationskanaler. Är det inte då en bra möjlighet att utnyttja dessa kanaler för flera ändamål. Det här arbetet focuserar på chattbotar, undersökningssystem och deras förmåga att samla återkoppling från respondenter och använda den för att öka kvaliteten av varor, tjänster och kanske livet. Genom att använda chattbottens språkkunskap kan människor engagera sig med botten i en konversation och svara på undersökningsfrågor på ett annorlunda sätt. Genom att använda sig av något kallat Restful API kan man ta ut kvantitativ information för att analysera den för förbättringssyfte gällande produkter och tjänster. Trots att chattbotten inte är välgjord och fortfarande kräver mycket justeringar så har arbetet visat sig ha många möjligheter inom undersökningar, samla återkoppling och att analysera det. Detta kan vara en förbättring för forskning om chattbottar i framtiden eller ett nytt sätt att förbättra undersökningar.
Desai, Krutarth. "California State University, San Bernardino Chatbot". CSUSB ScholarWorks, 2018. https://scholarworks.lib.csusb.edu/etd/775.
Texto completoArvidsson, Ebba y Lovisa Kullman. "Chatbot som verktyg inom kundtjänst : Kan en chatbot effektivisera kommunikationen mellan företag och kund vid en orderbeställning?" Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281315.
Texto completoThe report aims to provide an answer whether a chatbot can make the communication between companies and customers more effective, when ordering. The work involved development of a prototype of a chatbot, that has the ability to handle specific events; Order a bid, Our services, Calculate the price, Questions. The utility of the chatbot was later tested by 15 individuals. In combination with the Think Aloud-method, the tests were conducted as work-based scenarios followed by a form, based on the System Usability Scale (SUS). The mean value of the SUS-survey was measured to 75, which indicated that the chatbot is approved by the users, but with development potential. After analyzing the result, the conclusion was formulated that a chatbot could make the communication between companies and customers, when ordering. When deciding whether or not an implementation of a chatbot should occur, a number of components should be analyzed. On the other hand, there must be a clear purpose for the chatbot, but also, the choice of which platform that should be implemented must be based on the unique requirements. In addition to these components, available data, advantages and disadvantages as well as potential solutions should be considered before making a final decision.
Lindblad, Fredrik y Oskar Andersson. "Chatbot som verktyg för kundtjänst inom larmbranschen". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301953.
Texto completoRapporten syftar till att undersöka om en chatbot både kan svara på de frågor som annars en anställd hade svarat på och om den är strategisk samt ekonomisk lönsam. Arbetet i denna rapport innefattade att dels utveckla en prototyop av en chatbot och dels en analys av de ekonomiska elementen och hur väl denna prototyp ansågs fungera. Chatboten konstruerades för att kunna svara på samma typ av frågor som en nyanställd förväntas kunna svara på med hjälp av ett manus, chatboten länkar även till bolagets hemsida i vissa fall. Bakgrundsteorin i chatboten bygger på maskininlärningsmetoder (ML) i egenskap av Naturlig språkbehandling (Eng. Natural Language Processing) och Neurala nätverk. Vidare tas metoder som deltagarutvärdering (Eng. Participant Evaluation) och System Usability Scale (SUS) i anspråk för att bearbeta och analysera resultatet av chatboten. Kostnadsnyttoanalys (Eng. Cost Benefit Analysis) är det verktyg som användes för att beräkna den ekonomiska lönsamheten vid en eventuell implementation. Företaget Hello Ebbot tillhandahöll ungefärliga siffror på vad en slutgilitg implementation skulle innebära kostnadsmässigt. Medelvärdet för SUS-utvärderingen blev 79.2 vilket kan anses tillfredsställande, och brytpunkten för lönsamheten gick vid 9.9% av de samtal som potentiellt kunde behandlas av chatboten. Deltagarutvärderingen påvisade att de anställda på företaget förhöll sig positiva till en implementation av chatboten. Kostnaden för en implementation av en chatbot överstiger inte kostnaden för en mellanställning som varar i 6 månader. En annan positiv faktor är att bolaget kan upplevas som innovativt, vilket kan stärka deras position på marknaden. Sammanfattningsvis formulerades en slutsats att det går att försvara en implementation.
Strigér, Amanda. "End-to-End Trainable Chatbot for Restaurant Recommendations". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-213982.
Texto completoChatbotar kan användas för att automatisera enkla uppgifter, som att hitta en restaurang och boka ett bord. Att skapa ett sådant konversationssystem kan dock vara svårt, tidskrävande, och kräva mycket domänkunskap. I denna uppsats undersöks om det är möjligt att använda ett neuralt nätverk för att skapa en chatbot som kan lära sig att automatisera en tjänst som hjälper användaren hitta en restaurang och boka ett bord. För att undersöka detta implementerades en så kallad ``sequence-to-sequence''-modell som sedan tränades på domänspecifik dialogdata. Systemets styrkor och svagheter utvärderades och dess förmåga att generera korrekta svar jämfördes med flera andra modeller. Vår relativt enkla modell uppnådde liknande resultat som den mest avancerade av de andra modellerna. Resultaten visar modellens styrkor, men påvisar även signifikanta brister. Dessa brister gör att systemet, i sig självt, inte kan användas för att skapa en chatbot som kan hjälpa en användare att hitta en passande restaurang. Utvärderingen har dock bidragit med en grundlig undersökning av vilka fel som görs, vilket kan underlätta framtida arbete inom området.
Östman, Robin y Marcus Olofsson. "Artificiell Intelligens inom kundtjänst : Med chatbot i centrum". Thesis, Uppsala universitet, Institutionen för informatik och media, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-378911.
Texto completoRönnberg, Sofia. "Persuasive Chatbot Conversations : Towards a Personalized User Experience". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166354.
Texto completoLindstam, Ted y Anna Wikingsson. "Chatt i supportsyfte : En kvalitativ undersökning om hur chatt upplevs som supportkanal". Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37948.
Texto completoRichiello, Isabella. "Women's experience of a sexual and reproductive health chatbot". Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231819.
Texto completoChatbots blir allt mer populära och interagerar med människor genom skriftligt språk. Tidigare forskning har utforskat olika användningsområden för chatbots, men kvinnors sexuella och reproduktiva hälsa har inte varit en av dessa områden. Detta skapar ett behov att expandera den nuvarande smala forskningen. Denna studie syftar till att göra det genom att beskriva kvinnors erfarenheter av en chatbot för sexuell och reproduktiv hälsa som används som ett beslutsstödsverktyg. Chatboten utformades utifrån ett användarcentrerat tillvägagångssätt, vilket tillät kvinnor att uttrycka önskade personlighetsdrag hos en person som man diskuterar ämnet med. Detta resulterade i ett design skapade av två chatbots med två olika personligheter. Wizard of Oz studier genomfördes med 6 användare genom att simulera interaktionen med båda chatbots drivna av en människa. Deltagarna följdes upp med en enkät, följt av en intervju för bättre insikt till deras erfarenhet med varje chatbot. Resultaten resulterade i att bidra till forskning med förslag på riktlinjer för hur man utformar en chatbot för sexuell och reproduktiv hälsa.
Aljadri, Sinan. "Chatbot : A qualitative study of users' experience of Chatbots". Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105434.
Texto completoDen föreliggande studie har haft som syfte att undersöka användarnas upplevelse av Chatbot utifrån verksamhetsperspektiv och konsumentperspektiv. Studien har också fokuserat på att lyfta fram vilka begränsningar en Chatbot kan ha och eventuella förbättringar för framtida utvecklingen. Studien är baserad på en kvalitativ forskningsmetod med semistrukturerade intervjuer som har analyserats utifrån en tematisk analys. Resultatet av intervjumaterialet har analyserat utifrån tidigare forskning och olika teoretiska perspektiv som Artificial Intelligence (AI), Natural Language Processing (NLP). Resultatet av studien har visat att upplevelsen av Chatbot kan skilja sig mellan verksamheter som erbjuder Chatbot, som är mer positiva och konsumenter som använder det som kundtjänst. Begränsningar och förslag på förbättringar kring Chatbotar är också ett genomgående resultat i studien.
Abu, Shawar Bayan Aref. "A corpus based approach to generalising a chatbot system". Thesis, University of Leeds, 2005. http://etheses.whiterose.ac.uk/1323/.
Texto completoFredriksson, Joakim y Falk Höppner. "Chatbot for Information Retrieval from Unstructured Natural Language Documents". Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-40532.
Texto completoNagarajan, Santhosh Kumar. "Server-Less Rule-Based Chatbot Using Deep Neural Network". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395931.
Texto completoSilva, Cláudia Alexandra Moreira da. "Língua@chat.pt : a escrita telemática síncrona como elemento revelador de conhecimentos linguísticos intuitivos dos falantes". Master's thesis, Porto : [Edição de Autor], 2006. http://hdl.handle.net/10216/14506.
Texto completoSilva, Cláudia Alexandra Moreira da. "Língua@chat.pt : a escrita telemática síncrona como elemento revelador de conhecimentos linguísticos intuitivos dos falantes". Dissertação, Porto : [Edição de Autor], 2006. http://aleph.letras.up.pt/F?func=find-b&find_code=SYS&request=000181229.
Texto completoMårtensson, Christer. "Attityder kring sms och chatt". Thesis, Malmö högskola, Lärarutbildningen (LUT), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-32914.
Texto completoIhs, Håkansson Ellinor. "Hur kan en chatbot implementeras som ett hjälpmedel för supporttekniker? : En förstudie för att undersöka möjligheten att implementera en chatbot i en industriell verksamhet". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159637.
Texto completoBjörnhed, Joakim. "Using a Chatbot to Prevent Identity Fraud By Social Engineering". Thesis, University of Skövde, School of Humanities and Informatics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-3396.
Texto completoSocial engineering is a threat that is expanding and threatens organisations existence. A social engineer can get hold of crucial business information that is vital for the organisation and by this threaten the organisation. To prevent successful fraud attempts the organisations need to educate their employees about social engineering fraud techniques that can be used for gaining information. Hence, information security education needs new educational approaches to cope with the threats.
A solution to the problem is the use of an automated chatbot that gives the employees knowledge about a threat that is difficult to spot. To understand if an automated chatbot is a possible solution to educate the users, an investigation about the applicability is conducted. The investigation is based on a survey that compares traditional security education that is based on reading a written informational text and the use of an automated chatbot that simulates a fraud attempt with the purpose to steal an identity. The education with the automated chatbot is to be exposed to an identity fraud attempt in a controlled environment and then get an explanation of what have happened and way.
The automated chatbot is developed with a fraud attempt that looks like a normal market research approach, the market research where conducted with question that gather information that is important for identity thefts.
The result of the investigation shows that it may be possible to use an automated chatbot for educating in social engineering fraud attacks. However there is still a need to solve several major problems before there are possible to make sure the concept is fully feasible.
Abdul-Kader, Sameera A'amer. "An investigation on question answering for an online feedable Chatbot". Thesis, University of Essex, 2018. http://repository.essex.ac.uk/23345/.
Texto completoWestman, Gunnar y Michael Hjälmö. "En undersökning av möjligheten att anpassa en chatbot för mailkonversationer". Thesis, KTH, Hälsoinformatik och logistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278064.
Texto completoAbstractThe starting point for this thesis is to determine how well a chatbot can be adapted for emailconversations. If chatbots can be customized for email conversations, the need for humanwork in monotonous and predictable email conversations could be reduced. An existingchatbot framework has been implemented and a dialogue decision system for responseconstruction based on the classified intents has been developed. The whole system is called aconversational unit. The goal of the conversation unit is to achieve a precision value of 0.90,which was achieved with an implementation of Watson assistant. The precision value is usedto measure how well the conversation unit can be adapted for mail conversations. Thedialogue decision system should be able to give different answers depending on what intentsare classified and answers that depend on the existence of other intents should be independentof the order the intents were classified. The developed dialogue decision system achieves theset goals.KeywordsChatbot, NLU, Mailbot, Dialog decision system4
Samakovlis, Niki y Adam Särnell. "En tematisk analys av Skatteverkets chatbot utifrån den statliga värdegrunden". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298267.
Texto completoAs a government employee at a Swedish authority, one’s work must be permeated by democratic values according to the public service ethos. Since 2018, the Swedish Tax Agency has used a digital employee: a chatbot called Skatti which answers common questions about national registration and income tax returns. At present, the use of artificial intelligence and chatbots is not common among Swedish public services. Therefore it is of interest to investigate which areas should be taken into account based on the public service ethos when authorities choose to implement chatbots in their operations. To investigate this, 15562 messages sent to the chatbot Skatti from visitors to the Swedish Tax Agency’s website were analyzed using thematic analysis. During the course of the analysis, 184 codes were identified which resulted in 15 themes describing the examined data. These themes were later used to discuss whether Skatti had been developed with the public service ethos in mind. The results of the study indicate that there are areas where Skatti in various ways does not fully follow the public service ethos and that it may be of interest to take these areas into account in the future development of Skatti.
Burri, Ramón. "Improving user trust towards conversational chatbot interfaces with voice output". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240585.
Texto completoDetta examensarbete undersöker den inverkan som röstmodaliteten har på användarförtroende i konversationsbaserade gränssnitt för chatbottar. Antagandet är att förtroendet kan ökas, dels genom att addera röstutmatning till chatbotten och dels genom att text-till-röst-syntesen ges hög kvalité. Först introduceras chatbottar och konceptet konversationsbaserade gränssnitt. Därefter definieras örtroende i en online-kontext. Baserat på detta definieras en modell för förtroende samt uppfattningsfaktorer för trovärdighet, lättanvändhet och risk. Ett onlineexperiment utfördes, där deltagare går igenom konversationscenarion med en chatbot medan röstutmatningen varieras. Därefter följde en undersökning ämnad att samla in data om uppfattningen om förtroendefaktorerna för ett scenario utan röst och två scenarion med olika talsyntes-kvalitéer. För att analysera den ordnade datan från undersökningen genomfördes Wilcoxon signedrank-testet, ett ickeparametriskt statistiskt test, för att jämföra förtroenden för de olika röstutmatningstyperna. Resultaten visar att addering av röstutmatningsmodalitet till ett konversationsbaserat chatbotsgränsnitt ökar användares förtroende för tjänsten. Vidare, antagandet att synteskvalitén har effekt på förtroendet kunde inte verifieras därför att resultaten inte är statistiskt signifikanta. Begränsningarna hos de använda metoderna diskuteras och förslag för framtida forskning läggs fram.
Gardner, Angelica. "Improving the Chatbot Experience : With a Content-based Recommender System". Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36306.
Texto completoVilela, Tiago André Pimpão. "Global Mobility Chatbot: Chatbot model to improve mobile employee experience". Master's thesis, 2021. http://hdl.handle.net/10362/116183.
Texto completoThe Global Mobility Industry is the area that comprehends the emerging internationalization and growth of companies outside borders. Its overall core essence is to support businesses all over the world in setting up operations, by assigning employees in other cities or countries outside the company's headquarters. These operations have intrinsically a set of challenges and opportunities that both companies and employees need to face while on move. To face these challenges and accomplish international move tasks and goals, software houses have been developing over the past years platforms and solutions to face each of the international moves phases. However, it's hard to keep every task, request, event, and everything on track and both accomplishing and managing it can become a struggle when the number of employees on assignment multiplies and grows year after year. The usage of Chatbots is not new in the tech world, but the technology, features, and capabilities of those have been growing and growing, and those are gaining a significant space and importance in a variety of different businesses and social fields, such as sales, real state, eCommerce, customer support, and even marketing and enterprise bots. Its capacity to work as a true virtual assistant, able to respond and support users 24/7, it’s becoming something more and more desirable for every company and employee. This dissertation has the goal to, first, make a deeper research and study on the Global Mobility Industry and the Chatbot usage and development. Defining and stating how helpful and valuable a chatbot could be when integrated with a Global Mobility software solution. By concluding this study, 2 built artifacts will result from it, specifically a backlog full of business requirements to accomplish, and a prototype of the chatbot using one of the top Chatbot enablers platforms in the market. To work and develop the artifacts, this dissertation will follow the design science research methodology, whose evaluation phase will be supported by a user testing session and a structured interview with carefully selected participants, with pre-defined closed and open-ended questions. Everything resulting from this dissertation will leave open space for future enhancements, by incrementing the value and functionalities of the chatbot, and potential real-world application and integration of it in Global Mobility softwares and platforms.
Lino, Pedro Manuel Dias Braga. "Travel Booking Chatbot". Master's thesis, 2018. https://repositorio-aberto.up.pt/handle/10216/114378.
Texto completoFerreira, Tiago Miguel Moreira. "Chatbot Automóvel Adaptável". Master's thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/106510.
Texto completoWith the increasing number of everyday objects having an Internet connection and being able to send and receive data, the so called IoT (Internet of Things) -- the need to have systems that interact with such objects has also grown. This need has grown so much that at this time most manufacturers already ship software designed to interact with their products. However, this typically requires the user to install a separate application for each product and, most of the times, to navigate through complicated menus just to perform some simple tasks.The advent of chat bots has proven to be a worthy topic of research and development, with general acceptance from the target audiences, who view them as a replacement to standard mobile applications, one of the reasons being that bots can be used in their favorite messaging application. Most of the bots available in the market respond only to specific user input; however, with the recent advances in Artificial Intelligence and Natural Language Processing, this approach is being shifted towards engaging conversations with the users, serving as a way to engage the user with the product. This has been proven with the creation of personal assistants by some big companies like Google or Apple.This dissertation aims to create a chat bot that extends the relationship of the users with their cars, allowing a user to easily make location-aware operations, check the car current status and perform operations on the car just by talking with the bot. For instance, the user can locate where the car is parked or even get notified when there is a problem with the mechanical system of the car. This is done by sending the car data through an OBD-II dongle with permanent 4G connectivity to an application server. The server receives user input that is processed using state of the art natural language processing systems as a service such as Amazon Lex, and sends commands back to the car if necessary. The bot learns user patterns by modeling past trips using the ARIMA statistical model. This being a bot that must be able to be used while driving using voice to communicate, raises some challenges mainly on how to interact and direct the conversational flow, understanding the differences between texting and talking, along with accurately and at the right time make proactive suggestions to the user.To evaluate this work, the application was tested with usability tests both internally and externally, where at the end, the participants were asked to fill a questionnaire regarding their experience. The pattern recognition and predictions were also tested against real data.
Chang, Chiung-Chih y 張瓊之. "Style-Changeable Chatbot". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/m2zn5m.
Texto completoLino, Pedro Manuel Dias Braga. "Travel Booking Chatbot". Dissertação, 2018. https://repositorio-aberto.up.pt/handle/10216/114378.
Texto completoFerreira, Tiago Miguel Moreira. "Chatbot Automóvel Adaptável". Dissertação, 2017. https://repositorio-aberto.up.pt/handle/10216/106510.
Texto completoWith the increasing number of everyday objects having an Internet connection and being able to send and receive data, the so called IoT (Internet of Things) -- the need to have systems that interact with such objects has also grown. This need has grown so much that at this time most manufacturers already ship software designed to interact with their products. However, this typically requires the user to install a separate application for each product and, most of the times, to navigate through complicated menus just to perform some simple tasks.The advent of chat bots has proven to be a worthy topic of research and development, with general acceptance from the target audiences, who view them as a replacement to standard mobile applications, one of the reasons being that bots can be used in their favorite messaging application. Most of the bots available in the market respond only to specific user input; however, with the recent advances in Artificial Intelligence and Natural Language Processing, this approach is being shifted towards engaging conversations with the users, serving as a way to engage the user with the product. This has been proven with the creation of personal assistants by some big companies like Google or Apple.This dissertation aims to create a chat bot that extends the relationship of the users with their cars, allowing a user to easily make location-aware operations, check the car current status and perform operations on the car just by talking with the bot. For instance, the user can locate where the car is parked or even get notified when there is a problem with the mechanical system of the car. This is done by sending the car data through an OBD-II dongle with permanent 4G connectivity to an application server. The server receives user input that is processed using state of the art natural language processing systems as a service such as Amazon Lex, and sends commands back to the car if necessary. The bot learns user patterns by modeling past trips using the ARIMA statistical model. This being a bot that must be able to be used while driving using voice to communicate, raises some challenges mainly on how to interact and direct the conversational flow, understanding the differences between texting and talking, along with accurately and at the right time make proactive suggestions to the user.To evaluate this work, the application was tested with usability tests both internally and externally, where at the end, the participants were asked to fill a questionnaire regarding their experience. The pattern recognition and predictions were also tested against real data.
Huang, Pei-Ju y 黃珮茹. "Chatbot commerce-An empirical analysis of chatbot usage scenarios and user intentions". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/bny92b.
Texto completoGonçalez, Fernando Feliu. "Chatbot para atendimento automatizado". Master's thesis, 2021. http://hdl.handle.net/10284/9946.
Texto completoBarradas, Nuno Alexandre Mestre. "A book-oriented chatbot". Master's thesis, 2020. http://hdl.handle.net/10071/22099.
Texto completoA resposta automática a perguntas em língua natural é um tema estudado há largos anos. Tendo por base os sistemas existentes de resposta a perguntas, quando comparamos a percentagem de respostas correctas sobre um conjunto de perguntas, geradas a partir de um conjunto de dados, conseguimos ver que o desempenho está ainda longe de 100%, que muitas vezes é o valor alcançado quando as perguntas são testadas por humanos. Este trabalho aborda a ideia de um agente conversacional orientado para livros, mais propriamente um sistema de resposta a perguntas direccionado para responder a perguntas cujo conjunto de dados seja um ou mais livros. Deste modo, pretendemos adoptar um novo sistema, incorporando dois projectos existentes, o OpenBookQA e o Question-Generation. Utilizámos dois conjuntos de dados de domínio específico, sem terem sido ainda estudados nos dois projectos, que foram o QA4MRE e o RACE. A estes aplicámos a abordagem principal: enriquecê-los com perguntas geradas automaticamente. Corremos uma série de experiências, treinando modelos de redes neuronais. Deste modo, pretendemos estudar o impacto das perguntas geradas e obter bons resultados de precisão de respostas correctas para os dois conjuntos de dados. Os resultados obtidos sugerem que ter uma quantidade significativa de perguntas geradas num conjunto de dados, conduz a maior precisão de respostas correctas. Tornando claro que, enriquecer um dataset, sobre um livro, com perguntas geradas sobre esse mesmo livro, é dar ao dataset o contéudo do livro. Esta dissertação apresenta resultados promissores, a partir de conjuntos de dados com perguntas geradas automaticamente.
Teixeira, Fábio André Alves. "Chatbot para serviços bancários". Master's thesis, 2018. https://hdl.handle.net/10216/118800.
Texto completoJakúbek, Tomáš. "Chatbot k aplikácii MojiLidi". Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-429093.
Texto completoHo, Ching-Ting y 何靖霆. "Flow-based Chatbot Framework". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/g4am4u.
Texto completo國立臺灣海洋大學
資訊工程學系
105
Nowadays, more and more ChatBotChatbots are dependent built onon those social platforms like Facebook, line, and slack. Accordingly growing day by day, but also more and moremany tools and online platforms for building ChatBotChatbots have been constructed and widely usedappeared one after another., However, these tools or platforms are not able to fully support the control of chat flow, the management of conversations, and bi-directional Web service integration. but they usually focus on a single function. If a userwe want plans to build a ChatBotChatbot with complex chat flows, an ability of integrating Web APIs, and a capability of that has NLP (Natural Language Processing) analysis、external service expansion and simple dialogue management features, the user must to write complex conversation scripts and even a lot of additional codesintegrate other services, which caused difficulties in building; It causes the development and maintenance difficult and costly.. Therefore, to address the above issues, we propose a novel approach, referred to as FCF (Fflow-based Chatbot Fframework). that FCF was developed built on the Node-Red platform. It not only to provide builders can quickly build a business ChatBot, but also to to provide a visual and flow-based construction interface environment for Chatbot design. FCF allows Chatbot developers to quickly build Chatbots for business contexts in a visualized wayand flow-oriented concept to reduce the difficulty of building. We FCF also relies on theuse Api.ai APIs to support NLP analysis and the newly-deviseddevelop a service concatenation datastandard format for service webhook to support NLPallow bidirectional and external service extensionsintegration. For the feature of the service module expansion, In addition, to realize “Flow as a Service (FaaS)”, wwe also set up a n online platform ChatBotChatbot Market for Chatbot developers builders to share publish and access find established the chat flows. At the end of the studyFor the experiments, we preparedused a transaction “buy smartphones” example to be as a testbed to compare FCF with two existing ChatBotChatbot building tools, Api.ai and Red Bot. ,E xperiment results demonstrate that FCF outperforms these tools in terms of reduced complexity of development and maintenanceto explain our framework have the advantage of operation and efficiency.
Teixeira, Fábio André Alves. "Chatbot para serviços bancários". Dissertação, 2018. https://hdl.handle.net/10216/118800.
Texto completoBaptista, Bruno Miguel Costa. "IPBRICK OS - AI Voice/Chatbot". Master's thesis, 2022. https://hdl.handle.net/10216/140739.
Texto completoPereira, Nuno Filipe Reininho Proença. "Chatbot na Área de Sistemas Financeiros". Master's thesis, 2019. https://hdl.handle.net/10216/119703.
Texto completoCarvalho, João Rafael da Silva. "Chatbot para ajuda de novos alunos". Master's thesis, 2020. http://hdl.handle.net/10348/10722.
Texto completoNa Universidade de Trás-os-Montes e Alto Douro (UTAD), no início de cada ano letivo, existe um aumento do tempo de resposta dos serviços da universidade porque, os funcionários desses serviços, apesar de capazes, sofrem uma enorme sobrecarga no seu trabalho. A principal razão é a grande afluência de alunos recém-chegados de diversas origens. Por isso, para ser possível responder ao crescente aumento de alunos, aliviando os funcionários de perguntas de caráter mais simples, surgiu a necessidade de criar um sistema autónomo de respostas. Desta forma, para simular a intervenção humana o melhor possível foi desenvolvido um chatbot, que funciona na plataforma Facebook Messenger capaz de conversar em duas línguas, português e inglês. Como caso de estudo, foram postas em prática técnicas de Processamento de Linguagem Natural e Machine learning, nas quais se aplicam redes neuronais para a classificação da frase recebida e extração de uma intenção. A extração de uma intenção permite selecionar a resposta adequada para a frase recebida. Implementaram-se, no total, seis redes neuronais para cada língua, e, por sua vez, cada rede neuronal foi treinada num conjunto de dados diferente, correspondente a um serviço da universidade. Testaram-se os valores da precisão e os valores da função de perda de todos os modelos criados. De seguida, considerando vários parâmetros das redes neuronais fixos, alterou-se a função de ativação no neurónio de forma a encontrar a solução mais vantajosa, desta forma, utilizaram-se duas funções de ativação diferentes: a função de ativação de tangente hiperbólica e ReLU. Destes testes, conclui-se que, nos dados relativos à língua portuguesa, a função que apresentou melhor desempenho foi a função ReLU, na qual a precisão mínima obtida nos dados de validação foi de 96%. Enquanto que nos dados relativos à língua inglesa, a função tangente hiperbólica apresentou melhor desempenho nos dados de validação, com uma precisão mínima obtida de 88%
In the Universidade de Tr´as-os-Montes e Alto Douro, in the beggining of each school year, there is an increase in the time of response from the main services of the university because, the employees of these services, although capable, suffer a huge overload in their work. The main reason of this is the great influx of students from diverse origins. Because of this, in order to respond to the growing number of students without a significant increase in staff, a need has arisen to create an autonomous system to answer more simple questions. Thus, to simulate human intervention as best as possible, a chatbot has been developed, which works on the Facebook Messenger platform capable of chatting in two languages, Portuguese and English. As a case of study, are implemented techniques from Natural Language Processing and Machine learning, where neural networks are applied for phrase classification and intention extraction. The extraction of the intent allows to select the right response for the received phrase. A total of 6 neural networks were implemented for each language, where each neural network was trained on a different data set, each corresponding to a different service of the university. Considering several fixed parameters, the activation function in the neurons was changed in order to find a better solution, thus, two activation functions were used, hyperbolic tangent and ReLU. From these tests it can be concluded that in the Portuguese data, the function that presented the best performance was the ReLU function, where the minimum precision value obtained in the validation dataset was 96 %, while in the English data, the tanh function presented the best performance, with a minimum accuracy value in the validation dataset of 88 %.
Pereira, Nuno Filipe Reininho Proença. "Chatbot na Área de Sistemas Financeiros". Dissertação, 2019. https://hdl.handle.net/10216/119703.
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