Purdue University, United States
Introduce various forms of bibliometric and content analysis to guide strategic use and an informed reappraisal of an emerging area of attendees' interest.
Attendees will have opportunity to participate in demonstrations and discover emerging areas of interest related to human-computer interaction and human-automation interaction. The framework of the tutorial will be based on a successful model used to cooperatively develop three recent books related to human-automation interaction in mobile computing, transportation and manufacturing, services and user experience. Attendees will have opportunity to export and analyze related metadata and consider strategic use based on published examples. A Matrix Method of Systematic Review (MMSR) will be compared to the more well known PRISMA method and considered as theoretical approaches to highlight strengths and tradeoffs. SMART goal setting, as well as SOAPIE and Reverse Engineering methods, will be illustrated in support of monitoring successful progress and evaluating rhetorical modes of English composition typically used in systematic review.
Brief demonstrations will include: Harzing's analysis, Vicinitas, Dimensions, Google NGram, ResearchGate, VOS Viewer, CiteSpace, BibExcel, maxQDA and nVIVO. Cluster analysis and citation bursts will be emphasized to highlight emerging methods of bibliometric analysis.
The target audience is early career researchers and graduate students that are interested in improving efficiencies and abilities to gain experience and communicate about current literature in emerging areas related to human-computer interaction.
It could be helpful for illustrative purposes if participants have their own computer with Internet access. Though not required, participants will be able to try many of the demonstration software and platforms for their own topics of interest in real-time during the tutorial. The session will be interactive and participants will have opportunity to share and ask questions or receive clarifications.
Vincent G. Duffy is Professor of Industrial Engineering and Agricultural & Biological Engineering at Purdue University. He has served as a faculty member at Purdue since 2005 and previously as a faculty member The Hong Kong University of Science and Technology. He is a Fellow in the UK Ergonomics Society (CIEHF) Chartered Institute of Ergonomics and Human Factors in the United Kingdom. Professor Duffy has been chair or co-chair of twenty-two international research conferences including five International Conferences on Human Factors and Ergonomics in Healthcare held jointly with Applied Human Factors and Ergonomics International (AHFE). He was chair for thirteen prior international conferences on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management held as part of Human-Computer Interaction International since 2007. Dr. Duffy’s research in perception-based empirical model development in virtual and real environments has contributed to improved safety in design. Some of the research led to the development of a test bed that had virtual reality integrated with live motion capture and leadership in the Digital Human Modeling community. Vincent was a Fulbright Senior Scholar in the Russian Federation and developed a course titled “Green Business, Innovation and Society” that was later taught at Purdue. For nine years he was a quarterly reviewer for the National Academies’ Research Associateship Programs and has been a frequent reviewer for Fulbright over the past decade.
https://www.researchgate.net/profile/Vincent-Duffy-2
https://scholar.google.com/citations?user=3ER3-UUAAAAJ&hl=en&oi=ao