GPT-based models have enabled the creation of natural language chatbots that support both Inquiry-Based and Structured Learning approaches. This study offers a direct comparison of these two paradigms within a UNIX Shell scripting course by means of two chatbots: a Lesson Plan-Driven chatbot that ensures all students cover the same topics systematically, and an Ask-Me-Anything (AMA) chatbot more suited to exploratory learning. We compared two particular chatbots—Harvard’s CS50 (as an AMA chatbot) and OS315 (ours), as a lesson plan-driven chatbot—through four surveys. Results show a Net Promoter Score (NPS) of + 45 CI[25, 66] (N = 55) for the least performing lesson plan-driven chatbot and + 35 CI[11, 58.5] (N = 40) for the AMA chatbot. The majority of students favored a blend of human and chatbot instruction. Additionally, we discuss factors such as cost, accessibility, and why the same chatbot architecture, when applied to a Data Visualization course yields a lower NPS of + 9 CI[−6, + 23].

Are you a technologist or innovator looking to stay ahead in the rapidly evolving world of haptic technology? "Advances, Applications and the Future of Haptic Technology" is your essential guide to understanding and predicting trends that can shape how you use haptics in your products and strategies. This book begins by defining haptic technology and its classifications. It then traces the evolution of haptic feedback systems and explores their historical significance. Through real-world case studies, the book demonstrates how haptic feedback is reshaping industries like healthcare and gaming, enhancing medical training, and creating immersive gaming experiences. For innovators, the book addresses the challenges of implementing haptic technology across various domains, highlighting technical complexities and ergonomic considerations. For technologists, this book provides insights into the trade-offs of adopting haptics, examining the evolution of these systems with a focus on personal communication devices and the automotive industry. It also analyzes the factors influencing impact and features foresight frameworks to provide you with strategies for the future of haptic innovation. Additionally, the book explores intellectual property trends in the health, gaming, and automotive sectors to highlight key haptic innovations. Get your copy today and harness haptic technology to shape your future!

Recent literature indicates the potential of applying Artificial Intelligence (AI) tools to enhance ideation outcomes and optimize functionality across various engineering disciplines. However, a comprehensive understanding of applying AI in the design process is lacking, particularly regarding projects involving innovative design. Here, we address the integration of AI in a case study project. The project goal is to design a haptic boot to be used on Mars. We apply a popular AI tool, ChatGPT-3.5, to each design step, from the requirement gathering phase to the prototyping and testing phase. To assess the merit of the AI contributions, we asked eight domain experts to give qualitative feedback. The results indicate that current AI tools can provide a valuable starting point in the requirements and design phases. However, we noted instances of hallucinations and poor traceability. Finally, the experts' evaluation points out that the AI-proposed requirements and design are missing key elements expected as an outcome in an engineering design process. This study offers insight into the practical application of AI through a specific engineering design process.

The workshop is dedicated to empowering participants to better understanding the biophysical landscape using the ‘QualNotes’ App. The App facilitates qualitative and collaborative field data collection. It is of particular interest to HCI researchers working with Apps or data that are reactive to the physical environment, such as geolocated, outdoor mixed reality Apps (PokemonGo), data collection with input from wearables that might be mapped and so on, as well as educators interested in teaching digital methods.