Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Leading figures in Australian robotics research provide an overview and guidance for human–robot interaction (HRI) experimental design and evaluation methodologies that consider the ethical implications of the research and its applications from a human-centred and contextual perspective. The authors explain introductory and advanced topics in HRI with a focus on human-centred evaluation and ethical practices. They also provide an online interactive checklist tool for novice HRI researchers and students to deploy when designing their own studies.
The book is structured into three parts. In Part I, the authors first review fundamental methodologies and provide an interactive checklist tool of the HRI experimental study life cycle to guide beginners to the field. Part II introduces an expanded set of approaches to support researchers and practitioners to create high-quality study designs that draw on practices from human-computer interaction, human-centred artificial intelligence, psychology and social science, and advance ethical HRI research. Finally, in Part III, the authors discuss a selection of HRI studies as examples of how the introduced methodologies are adopted, which will support the readers to further understand the fundamental and advanced methodologies described in Parts I and II. The diverse collection of case studies enables readers to grasp the state of the art and apply what they have learned in their own practices.
This book is a vital resource for both students new to the field and experienced researchers and practitioners. The book’s practical focus and clear elucidation of relevant case studies, from its introduction to the HRI experimental study life cycle through to advanced methods emerging in the field, ensures that this will greatly benefit progress in the field with human-centred and ethical experimental methodology.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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