Оценивание вероятностно-временных характеристик человеко-машинного диалога на естественном языке

Представлены результаты исследования, направленные на совершенствование процесса оценивания характеристик человеко-машинного диалога, осуществляемого на естественном язык

Toward a Taxonomy of Service-Oriented Chatbots

As applications of chatbots evolve, they become an appealing technology for service-oriented businesses in hospitality and tourism (HT). Indeed, the research about chatbots in HT context is growing rapidly covering a range of perspectives from users to experts. Nevertheless, chatbots research in HT field remains new with a wide ranging variability of challenges. Hence, the purpose of this study is to develop a taxonomy for chatbots in HT guided by a phenetic approach. The taxonomy focuses on two dimensions: the type of information and the level of interaction. Four categories of chatbots were identified, respectively informer, facilitator, planner, and performer. We utilize this taxonomy to advance the discussion of research gaps about chatbots in HT, as well as indicate the future research opportunities. The findings of the study help to understand the potential for chatbot applications in HT

Identification Of Diseases In Rice Plant Using Chatbot With Methode Artificial Intelligence Markup Language and Normalization

Information Services in agriculture are entering the era of industrial revolution 4.0, always associated with the use of automation machines integrated with the internet network. The technological sophistication of this era makes many conditions change. The chatbot application is one of the right solutions to solve farmer problems, this farmer chatbot application is about the information on handling rice plants, and this application uses the Artificial Intelligence Markup (AIML) method. The purpose of this study was to test the accuracy of the answers to the chatbot. This research method uses question data with words under 5 words and above 5 words, and uses question data according to keywords and outside keywords in this chatbot, with 50 question data, with each question data tested four times than taken the average. average. The results of this study are to get an accuracy of 90.9%, while the response time for answering questions of less than 5 words is 0.01 seconds, and for more than 5 words is 0.02 seconds with a data set of 1000 lines

El uso del chatbot como elemento de acción tutorial en la enseñanza universitaria

Abstract: It is of great importance to help and pay attention to students through different educational activities to ensure their participation in class and thus reduce the dropout rate. Traditionally, tutoring activities have been limited to face-to-face sessions in which students pose questions to the teacher. However, in a connected world with many available information systems, innovative tools are needed to facilitate and speed up both the study and the resolution of doubts in a comfortable way. Methods: This paper proposes using a chatbot based tutoring system as a novel educational experience focused on motivating universities students. Results: Besides, we provide a proof-of-concept implementation of a chatbot that answers questions as quickly and accurately possible at any time, in a comfortable way for the students, and at the same time it gathers feedback from the students regarding those topics that need to be explained in class in more detail. Conclusions: This experience is intended to increase the engagement and collaboration of both students and instructors and has helped to decrease the dropout rate in recent years.Resumen: Es de vital importancia ayudar y guiar el aprendizaje de los estudiantes a través de diferentes herramientas y actividades educativas que faciliten su participación en clase y permitan reducir la tasa de abandono. Tradicionalmente, las actividades de tutorización para estudiantes universitarios, se limita a reuniones presenciales en las que los estudiantes plantean preguntas al docente. Sin embargo, dadas las circunstancias actuales y ante un mundo conectado con muchos sistemas de información disponibles, se necesitan herramientas docentes innovadoras que faciliten el aprendizaje y una ágil resolución de dudas. Método: en este trabajo se propone la utilización de un sistema de tutorías, basado en el uso de un chatbot como experiencia educativa novedosa y orientada a motivar y facilitar el aprendizaje en estudiantes universitarios. Resultados: estudio aporta la implementación de un chatbot que responde de forma rápida y precisa, disponible en cualquier momento para solucionar dudas y facilitar el estudio de las materias a los estudiantes. Este chatbot además permite recopilar comentarios de los propios estudiantes sobre los temas que requieren ser explicados en clase con un mayor detalle. Conclusiones: El uso del chatbot tutorial, ha permitido aumentar el compromiso y la colaboración tanto de los estudiantes como de los docentes, disminuyendo la tasa del número de estudiantes que abandonan la asignatura.Ministerio Español de Economía y Competitividad - project TIN2017-85727-C4-2-P -UGR-DeepBio

Knowledge Transfer between Humans and Conversational Agents: A Review, Organizing Framework, and Future Directions

Conversational agents (CAs) that use natural language to interact with humans are becoming ubiquitous in our daily lives. For CAs to perform effectively, knowledge transfer between human users and CAs is vital to complete tasks and to build common understanding with humans. While such knowledge transfer is important, relatively less research attention has been paid to it. Overall, we lack a systematic overview of how knowledge transfer can be facilitated between humans and CAs. Motivated thus, this article presents a literature review of empirical IS, HCI and Communications studies on the knowledge transfer between humans and CAs. We analyzed papers on this topic, synthesized the studies based on the antecedents, directions, processes, and outcomes of knowledge transfer. We contribute by providing a systematic understanding of research on knowledge transfer in human-CA interactions, proposing an organizing framework, identifying gaps in prior work, and outlining key future research directions

Conversing with machines: Affective affinities with vocal bodies

This article examines how the emergence of speech-driven interfaces for computational devices alters our affective relationships with machines, and argues that the rise of intelligent personal assistants such as Siri, Watson and Alexa calls for the question of affect to be brought to the centre of discourse around artificial intelligence (AI). It departs from the early imaginings and manifestations of human-computer conversations in the work of Turing and Weizenbaum, then introduces a Spinozan framework for theorising the transmission of affect and its ethical implications. It examines the affective economy engendered by vocal interfaces, drawing on a range of theories which focus on sound not only as an object of study, but also as a conceptual paradigm. It concludes by arguing that the machine voice constitutes a form of embodiment, and that according computers this “body” and inviting us to converse with them enhances our ability to enter into a sensuous relationship with them

The attitude of Polish young adults to mobile chatbots in e-commerce : selected conditions

The development of technology, including work on artificial intelligence, gives marketers new opportunities regarding communication with customers with the help of chatbots (including e-commerce). The aim of the research was to determine the attitude of Polish young adults to (mobile) chatbots in accordance with the TAM model (intention, attitude, ease and convenience of use) and links with consumer innovation. Statistical analyses (ANOVA and regression analysis) confirmed that innovation measured using the DSI scale (Goldsmith and Hofacker) is related to the attitude to chatbots in the surveyed group. Respondents manifest a sceptical attitude towards this new technology, while having little experience with it

Design Knowledge for the Lifecycle Management of Conversational Agents

Organizations spend extensive resources on artificial intelligence (AI) solutions in customer service in order to remain customer-focused and competitive. A rising language-based application of AI emerges in the context of conversational agents (CAs), such as chatbots, which represent increasingly intelligent, autonomous, scalable, and cost-effective service platforms. However, AI-based CAs bring new organizational challenges. They are underrepresented in current research, leading to many unanswered questions and research potential regarding the management of their introduction, operation, and improvement. To address this issue, we provide design knowledge that considers the organizational perspective of CAs. Therefore, we conducted a systematic literature review (SLR) and qualitative interview study to reveal and analyze individual issues and challenges, develop meta-requirements, and finally, use them to create design principles. We contribute to the emerging field of CAs that has previously focused mainly on the individual, behavioral, interactional, or technical design

VICA, a visual counseling agent for emotional distress

We present VICA, a Visual Counseling Agent designed to create an engaging multimedia face-to-face interaction. VICA is a human-friendly agent equipped with high-performance voice conversation designed to help psychologically stressed users, to offload their emotional burden. Such users specifically include non-computer-savvy elderly persons or clients. Our agent builds replies exploiting interlocutor\u2019s utterances expressing such as wishes, obstacles, emotions, etc. Statements asking for confirmation, details, emotional summary, or relations among such expressions are added to the utterances. We claim that VICA is suitable for positive counseling scenarios where multimedia specifically high-performance voice communication is instrumental for even the old or digital divided users to continue dialogue towards their self-awareness. To prove this claim, VICA\u2019s effect is evaluated with respect to a previous text-based counseling agent CRECA and ELIZA including its successors. An experiment involving 14 subjects shows VICA effects as follows: (i) the dialogue continuation (CPS: Conversation-turns Per Session) of VICA for the older half (age > 40) substantially improved 53% to CRECA and 71% to ELIZA. (ii) VICA\u2019s capability to foster peace of mind and other positive feelings was assessed with a very high score of 5 or 6 mostly, out of 7 stages of the Likert scale, again by the older. Compared on average, such capability of VICA for the older is 5.14 while CRECA (all subjects are young students, age < 25) is 4.50, ELIZA is 3.50, and the best of ELIZA\u2019s successors for the older (> 25) is 4.41