This paper aims to present the potential for integrating the classic Kano method with artificial intelligence tools to support customer needs research and segmentation for manufacturing companies. This research provides a literature review of the Kano method and AI technologies used to analyze customer data. A case study conducted at a Polish manufacturing company in the SME sector explored ways to better align offerings with market expectations. The study is based on identifying product features and developing a Kano questionnaire, followed by the use of popular chatbots (i.e., ChatGPT, Copilot, and Gemini) to automatically assign these features to the appropriate Kano model categories. The data originates from online surveys and direct contact at points of sale. The results of the automated analysis are compared with traditional results, assessing the compatibility of both approaches. The paper demonstrates that integrating these two methods significantly improves the decision-making process for product development, increasing the precision of customer needs identification and the effectiveness of implemented innovations.
Advances in technology and an increased access to new research techniques allow for the creation of huge databases documenting the chemical composition of minerals. At the same time, traditional processing of very large amounts of data is time-consuming and inefficient. The paper presents one of the ways of using artificial intelligence to automate data processing. The Microsoft Copilot chatbot helps to create source code in the R language, generating a pyroxene classification triangle in a very short time (Morimoto et al., 1988). The basic clas¬sification of pyroxenes was then used to distinguish the relationships between the minerals occurring in the nephelinite dyke in the Folwark quarry, and helped to consider different scenarios for the genesis and transport of this rock.
Large Language Models are increasingly prevalent, and their capabilities are advancing rapidly due to extensive research in this field. A growing number of models are being developed, with sizes significantly surpassing 70 billion parameters. As a result, the ability to perform efficient and scalable inferences on these models is becoming crucial to maximize the utilization of valuable resources such as GPUs and CPUs. This thesis outlines a process for selecting the most effective tools for efficient inference, supported by the results of experiments. Additionally, it provides a comprehensive description of an end-to-end system for the inference process, encompassing all components from model inference and communication to user management and a user-friendly web interface. Furthermore, we detail the development of an LLM chatbot that leverages the function-calling capabilities of LLMs and integrates various external tools, including weather prediction, Wikipedia information, symbolic math, and image generation.
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Pandemia COVID-19 spowodowała, że potrzeba dostępu do rzetelnych źródeł informacji dotyczących wymagań stawianych środkom ochrony indywidualnej (ŚOI) oraz zasad ich doboru i bezpiecznego stosowania stała się bardziej dostrzegalna dla szerszej grupy odbiorców. Obecnie w Centralnym Instytucie Ochrony Pracy – Państwowym Instytucie Badawczym (CIOP-PIB) trwają prace nad opracowaniem tekstowego interfejsu konwersacyjnego (tzw. chatbota) wspierającego użytkowników w tym zakresie. W artykule przedstawiono pilotażowy zakres opracowywanego chatbota oraz oczekiwania użytkowników względem chatbotów, określone na podstawie badań ankietowych. Z przeprowadzonych badań wynika, że użytkownicy korzystają z chatbotów głównie w celu wyszukiwania informacji. Konieczne jest więc zapewnienie użytkowników o prawdziwości podawanych informacji. Istotne są również estetyka i funkcjonalność chatbota, co można uzyskać m.in. poprzez zwiększenie czytelności tekstu i ikon oraz dokładniejsze rozdzielenie wymienianych wiadomości. Usatysfakcjonowanie użytkownika, zarówno w kwestiach merytorycznych, jak i technicznych, sprawi, że kontakt z chatbotem będzie wyzwalał w nim pozytywne odczucia i zachęci do ponownego skorzystania z tego narzędzia.
EN
The COVID-19 pandemic has led to a need for access to reliable sources of information on the requirements for PPE, principles of selection and its safe use. Central Institute for Labour Protection - National Research Institute is working on developing a text-based conversational interface (chatbot). The article presents the pilot scope of the chatbot under development and users’ expectations of chatbots based on surveys. The survey found that users mainly use chatbots to search for information. It is necessary to assure users of the authenticity of the information provided. The issue of ensuring the chatbot’s appropriate aesthetics and functionality is also important, e.g. by increasing the readability of text and icons and more accurately separating the messages exchanged. By satisfying the user, both in terms of content and technical issues, interaction with the chatbot will release positive feelings in users and encourage them to return again.
The presented research shows the possibilities of using chatbot technology in the maritime industry. The authors pay special attention to maritime education, broken down into standard and complementary education. The research is based on the results of a survey, which addresses students of five European maritime universities and examines their opinions about chatbots. Additionally, analogies are applied to the case studies of the successful implementation of chatbots in non-maritime businesses. This research determines the current status and development opportunities of maritime chatbots.
In this research, the formation of highly specialized chatbots was presented. The influence of multi-threading subject areas search was noted. The use of related subject areas in chatbot text analysing was defined. The advantages of using multiple related subject areas are noted using the example of an intelligent chatbot.
PL
W tym badaniu przedstawiono tworzenie wysoce wyspecjalizowanych chatbotów. Zwrócono uwagę na wpływ wielowątkowego wyszukiwania obszarów tematycznych. Zdefiniowano wykorzystanie powiązanych obszarów tematycznych w analizie tekstu chatbota. Na przykładzie inteligentnego chatbota odnotowano zalety korzystania z wielu powiązanych obszarów tematycznych.
Purpose: The purpose of this publication is to identify the opportunities and threats arising from the use of chatbots and voicebots in Polish public sector institutions. Design/methodology/approach: The theoretical basis presented in this paper is the available literature on the subject. Expert research was conducted with practitioners and theoreticians from the Lodz Province about chatbots, voicebots and public institutions. The research technique was a standardized interview. Findings: The results of the research made it possible to identify the opportunities, limitations and risks of implementing chatbots and voicebots in a public institution. Research limitations/implications: The survey conducted with experts indicates the problem and the need for change and identifies a way forward for digitization in public institutions. Practical implications: The results of the expert research can provide a path to the successful digitization of many public institutions and consequently provide inspiration and savings when designing bots that serve clients. Social implications: The quality of customer service of public institutions is a problem identified in this article. By implementing the suggestions resulting from the research, client service can be improved or completely reorganized. Originality/value: The article highlights the possibility of transferring artificial intelligence tools, i.e. chatbots and voicebots, to public institutions, also pointing out the possibilities of solutions and their limitations and risks of implementation. For the purpose of the paper, expert practitioners and theoreticians were invited to express their opinions.
This paper focuses of the implementation of the goal – oriented chatbot in order to prepare virtual resumes of candidates for job position. In particular the study was devoted to testing the feasibility of using Deep Q Networks (DQN) to prepare an effective chatbot conversation flow with the final system user. The results of the research confirmed that the use of the DQN model in the training of the conversational system allowed to increase the level of success, measured as the acceptance of the resume by the recruiter and the finalization of the conversation with the bot. The success rate increased from 10% to 64% in experimental environment and from 15% to 45% in production environment. Moreover, DQN model allowed the conversation to be shortened by an average of 4 questions from 11 to 7.
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The aim of the study at hand is to configure and evaluate a GPT-3 chatbot which is resistant to faulty input prompts and sensitive to the emotional setting of a sales dialogue. Design Science Research Methodology by Peffers et al. [46] was applied and evaluated with qualitative interviews in two conditions, that is, short and long language input. Results show that the chatbot was overall able to mimic human-like sales conversations. Some deviant behavior could be observed, especially in the short input condition, revealing more verbiage and insistent questions for purchase by the chatbot.
In the era of digitization and general access to Internet resources, it seems natural to expect fast, direct, and tailored access to the knowledge of interest. The research shows that the use of modern technologies is not reserved only for industrial solutions, but can be applied in common use. Solutions based on artificial intelligence can provide solutions to many problems of the modern world. This is particularly visible in the era of challenges related to ecology (e.g. minimization of paper consumption) and expectations of fast access to information regardless of place and time. Treating chatbots as a tool supporting the customer in current activities, quick problem-solving shows the potential and care for the image of the producers. Developing the functionality of virtual assistants used for marketing activities with the functionality of technical support can bring tangible benefits both in the economic and social spheres. It should be noted that electronic versions of documents, knowledge transferred in an interactive form can be easily updated and presented in different forms. This increases the attractiveness of transmitted knowledge, users can choose the appropriate form, and access to these resources becomes easier. Artificial intelligence-based tools in the form of chatbots (also called virtual assistants) seem to be a solution worthy of interest. This paper presents the process of developing a virtual assistant to support the maintenance and repair activities of small household appliances. A chatbot aims at gathering in one place and then providing dedicated knowledge resources to an individual user on a just-in-time basis.
The role of digital technologies, especially the Internet of Things (IoT) and Artificial Intelligence (AI), increasingly become a key element of diverse interactions between brands and consumers. Homo Cyber Oeconomicus, one of the potential stages of ongoing consumer’s evolution, lives between processes of dehumanization of the surrounding world and humanization of digital technologies. While remaining in a constant contact with smart devices, systems and algorithms, they are looking for new values and meanings, which are a metaphor of their desires, fears and behaviors. As a result, the digital ecosystem, as an attempt to combine the humanism idea with technologization processes, poses new challenges to companies/brands, both concerning the quality of interactions with an increasingly digital consumer and tools used in that process. Chatbots can prove to be an interesting solution here, as their spectrum of potential areas of implementation in business systematically increases. The paper attempts to identify the influence of chatbots on marketing taking into account their role in Human - to - Machine interaction process. A part of these considerations is of the character of philosophical discourse on the role of that technology in human life, which is a starting point for the presentation of preliminary assumptions for a model of consumer-chatbot interaction (digital technology) in marketing activity of companies/brands.
PL
Rola technologii cyfrowych, w tym w szczególności Internet of Things (IoT) i Artificial Intelligence (AI) staje coraz bardziej kluczowym elementem zróżnicowanych interakcji pomiędzy markami i konsumentami. Homo Cyber Oeconomicus, będący jednym z potencjalnych etapów trwającej ewolucji konsumenta, żyje między procesami dehumanizacji otaczającego go świata a humanizacji technologii cyfrowych. Pozostając w ciągłym kontakcie z inteligentnymi urządzeniami, systemami i algorytmami poszukuje nowych wartości i znaczeń, stanowiących metaforę jego pragnień, obaw i zachowań. W efekcie digital ecosystem, będący próbą zespolenia idei humanizmu z procesami technologizacji stawia przed firmami/markami nowe wyzwania, zarówno co do jakości realizowanych interakcji z coraz bardziej cyfrowym konsumentem, jak i narzędzi wykorzystywanych w tym procesie. Ciekawym rozwiązaniem mogą okazać się chatboty, których spektrum potencjalnych obszarów implementacji w biznesie systematycznie chatbotów na marketing, ze szczególnym uwzględnieniem ich roli w procesie interakcji Human – to – Machine. Część prowadzonych rozważań ma charakter filozoficznego dyskursu nad rolą tej technologii w życiu człowieka, co stanowi punkt wyjścia do prezentacji wstępnych założeń modelu interakcji konsumenta i chatbotów (technologia cyfrowa) w aktywności marketingowej firm/marek.
Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. Chatbots are one of those AI-driven solutions that support learning and teaching processes also in higher education institutions. In this paper there are presented two cases of chatbot technology implementation at Polish universities. Chatbots develop students’ technical and programming skills, but also provide the possibility of gaining linguistic expertise. However, a chatbot’s teaching mastery depends also on its users. That is why it is important to get students to truly understand AI systems and feel responsible for the conversation. But above all, we should ensure that chatbots respect human and civil rights.
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The article shows current communication forms between companies, their partners and clients. Moreover, it indicates weak points of current solutions and prove that chatbots are a compromise between traditional and electronic communication ways. A significant aim of the article is to present chatbots as a highly innovative way of customer service and benefits they offer to companies and their clients.
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