Auflistung nach:
Auflistung i-com Band 22 (2023) Heft 1 nach Autor:in "Ludwig, Thomas"
1 - 3 von 3
Treffer pro Seite
Sortieroptionen
- ZeitschriftenartikelFridolin: participatory design and evaluation of a nutrition chatbot for older adults(i-com: Vol. 22, No. 1, 2023) Weber, Philip; Mahmood, Faisal; Ahmadi, Michael; von Jan, Vanessa; Ludwig, Thomas; Wieching, RainerIn recent years, emerging approaches to chatbot-guided food coaching and dietary management, while innovative and promising in nature, have often lacked long-term studies. Therefore, with this work, we pursued a participatory approach within a design case study to the co-design and development of a nutrition chatbot for elderly people. Overall, 15 participants were directly involved in the study, of which 12 participated in the initial co-design phase, seven in the first real-world evaluation study over four weeks, and three in the second evaluation study over seven weeks. We contribute to the fields of Human-Computer Interaction by showing how the long-term use of such a chatbot in the area of nutrition looks like, which design implications arise for the development of nutrition chatbots, and how a participatory design approach can be realized to design, evaluate and develop nutrition chatbots.
- ZeitschriftenartikelPrintAssist—a conversational human-machine interface for 3D printers(i-com: Vol. 22, No. 1, 2023) Jasche, Florian; Weber, Philip; Liu, Shi; Ludwig, Thomas3D printers are no longer found only in industry, universities or makerspaces but now are increasingly used in domestic settings. Personal fabrication will increase in the coming years, and 3D printing will play an important role in this process. Due to technology and price development, 3D printers are becoming established among casual users at home. However, there are still many hurdles in the use of 3D printers that interfere with their appropriation in everyday life. In this paper, we investigate how chatbots can overcome these hurdles and support onboarding to 3D printing. Furthermore, we explore how chatbots can be used as a human–machine interface and facilitate interaction with 3D printers for both novice and expert users. In a research-through-design approach, we have created a fully functional chatbot that introduces users to 3D printing and helps them perform typical tasks when operating 3D printers.
- ZeitschriftenartikelSpecial issue on "conversational agents" – Editorial(i-com: Vol. 22, No. 1, 2023) Ludwig, Thomas; Weber, Philip; Maedche, Alexander; Riener, AndreasConversational agents have become omnipresent in our daily life. We are surrounded by various conversational agents, from Siri and Alexa to Google Assistant and the recent ChatGPT. They therefore have also become an increasingly popular research topic in the fields of Human-Computer Interaction and Information Systems. Conversational agents are software systems that use natural language to interact with humans, encompassing text-based chatbots and speech-based voice assistants. Conversational agents were used to automate simple routine communication tasks in various application areas for a long time. However, due to improved algorithms and the increasing volume of data, conversational agents are now also being used for more complex tasks, such as fostering dialogic interaction for informal learning or supporting mental health. For this special issue, we received a diverse set of submissions that showcase the latest advancements in the field of conversational agents. After a rigorous peer-review process, we are excited to present a selection of six thought-provoking and impactful papers. The first paper, “PrintAssist—A Conversational Human-Machine Interface for 3D Printers” by Jasche et al., pre-sents an innovative conversational agent that enables a more intuitive way of interacting with 3D printers. In “Say What you Want, I’m not Listening! A conversational social robot behavior design for self-reflection that does not parse user speech” by Young et al., the authors explore the design of a conversational social robot that encourages self-reflection without actually listening to the user’s speech. The third paper, “Fridolin: Participatory Design and Evaluation of a Nutrition Chatbot for Older Adults” by Weber et al., presents a participatory design process for a nutrition chatbot aimed at improving the health of older adults. In “Addressing loneliness in the workplace through human-robot interaction” by Schuster et al., the authors propose a novel approach to address loneliness in the workplace by using a conversational agent as a social companion. The fifth paper, “Authentication Methods for Voice Services on Smart Speakers – A Multi-Method Study on Perceived Security and Ease of Use” by Baldauf et al., investigates users’ perceptions of security and ease of use of different authentication methods for voice services on smart speakers. Finally, “Digital Natives Aren’t Concerned Much About Privacy, or Are They?” by Maier et al., explores the privacy concerns of digital natives when interacting with conversational agents. We believe that this special issue offers a glimpse into the latest developments in the field of conversational agents and showcases their potential in various application areas. We hope that it will inspire researchers and practitioners to continue to explore new and innovative ways to use conversational agents in the future. Finally, we would like to mention that this text was first generated by ChatGPT, a large language model trained and offered by OpenAI. This showcases the potential of conversational agents and natural language processing technologies to automate various tasks, including writing. By using input information and prompts, ChatGPT can generate coherent and informative text that can be used for various purposes. Note: Even the previous disclaimer was written by ChatGPT. For this purpose, we took the full text of the Special Issues call, added only the titles of the accepted papers and the first author with “et al.” (the abstracts of the accepted papers were not added), and then made only minor adjustments to the text. The abbreviated original prompt was as follows: “Write an editorial text for the Special Issue on “Conversational Agents”. Write an introduction. Keep in mind that the submission deadline has passed and a selection of papers have already been reviewed and will be published along with the introductory text. The selected papers are the following: – [“Title of the first paper”] by [Last name of the first author] et al. – [“Title of the second paper”] […] Add a section at the end to add that the text was generated by ChatGPT to showcase the upcoming potential of CAs. Also state and explain how this text was generated. Use the following information from the call as a basis for your writing: [Our full call for papers]”