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1731. Don Norman Keynote
- Type:
- Media
- Description/Abstract:
- IASDR 2017 Keynote- Design in the 21st Century: Complex Sociotechnical Systems Use Related Links URL to access presentation video Don Norman is Director of the Design Lab at the University of California, San Diego. He is co-founder of the Nielsen Norman Group, former Vice President of Apple and former executive at Hewlett Packard. Norman serves as an IDEO Fellow, an honorary professor of Design and Innovation at Tongji University (Shanghai), and is an advisor or board member of numerous companies. At UC, San Diego, he served as chair of the Psychology Department and founder and chair of the Cognitive Science Department. At Northwestern University, he is the Breed Professor of Design, emeritus. He has been Distinguished Visiting Professor of Industrial Design at the Korea Advanced Institute of Science and Technology (KAIST). He has honorary degrees in psychology from the University of Padua (Italy) and in Design from the Technical University of Delft (the Netherlands) and the University of the Republic of San Marino. He received a "Lifetime Achievement Award" from SIGCHI and the Benjamin Franklin Medal in Computer & Cognitive Science from the Franklin Institute (Philadelphia). He is a member of the American National Academy of Engineering, and fellow of the American Academy of Arts and Sciences, Association for Computing Machinery, American Psychological Association, Association for Psychological Science, Human Factors & Ergonomics Society, and the Design Research Society. He serves on the Board of Trustees at IIT's Institute of Design in Chicago. He is well known for his books "The Design of Everyday Things," "Emotional Design," and "Living with Complexity." He lives at www.jnd.org.
- Creator/Author:
- Dugan, Dan
- Submitter:
- Monica Salguero
- Date Uploaded:
- 01/26/2018
- Date Modified:
- 03/22/2018
- Date Created:
- 2017-10-31
- License:
- Attribution-NonCommercial 4.0 International
- Type:
- Article
- Description/Abstract:
- *Use Related Links URL to access presentation video Seattle Cancer Care Alliance and Premera Blue Cross show you how we conducted design research to build a collective understanding of the cancer care experience. We will provide detailed instructions, with checklists, on how to recreate a similar collaboration, including how we worked and what we worked on. You will walk away knowing how we shared skills and resources, built credibility and equal playing fields, and delivered research insights to both our organizations from multiple perspectives and vantage points. Seattle Cancer Care Alliance (SCCA) brings together the leading research teams and cancer specialists from Fred Hutchinson Cancer Research Center, Seattle Children's and UW Medicine. Based in Seattle, SCCA is one of the top five Adult Cancer Care facilities in the United States as ranked by U.S. News & World Report. Shay Ghassemian, User Experience Designer in Digital Health, and Katie Rehfield, Patient Experience Specialist, will be facilitating this workshop. Premera Blue Cross is a not-for-profit health insurance company serving 2 million people across the United States. As the largest health plan in the Pacific Northwest, Premera offers a wide range of products for individuals and families, Medicare recipients, and employers ranging from small business to Fortune 100 companies. Irish Malig, Senior Manager of Experience Strategy, Robert Racadio, Design Research Manager, Design Strategists Sara Bell, Paul Braun, and Ryan Rosensweig, and Darci Brown, Healthcare Implementation Manager in Provider Experience, will all be facilitating this workshop. Presented by Shay Ghassemian and Robert Racadio
- Creator/Author:
- Seattle Cancer Care Alliance and Premera Blue Cross
- Submitter:
- Lora Alberto
- Date Uploaded:
- 01/26/2018
- Date Modified:
- 04/24/2018
- Date Created:
- 2017-10-31
- License:
- Attribution-NonCommercial 4.0 International
- Type:
- Article
- Description/Abstract:
- It was late on a Friday evening. A great time to avoid crowds. Most people were dining and drinking, absorbing the city’s capacity for pleasure, or maybe relaxing at home. That left the supermarket to me and others whose lives are synchronized differently. But as I stumbled my way through those harshly lit corridors of obscene American consumption, I realized I was among some highly unusual company. In every aisle, there were people—people?—clad in blue uniforms with devices attached to their forearms and fingertips, cables and wires dangling, each methodically filling large specialized carts. These were not shoppers like me. They were employees of the grocery chain operating— operated by?—new software for online ordering and curbside pickup. Surely, this wasn’t such a strange scene in contemporary stores around the world. Yet, it did raise strange—radical? — possibilities: a specter of “before” for an unforeseeable and potentially unpleasant “after.” The unity of the human and the machine, not implanted but merged in the operation, made me wonder: Are they cyborgs? Incipient cyborgs? Is this still a supermarket? Or an altogether different kind of space? One in the process of becoming? But becoming what? The image that flashed to mind was that of an Amazon fulfillment center: a million acres of non-stop conveyor belts with robots finding and retrieving machine-labeled products and filling yellow bins under the supervision of a handful of humans. Robotic automation creating efficiency while eliminating the unpredictable and unproductive complexities of human labor and interactions. Perhaps, supermarkets are undergoing a transformation from spaces where humans browse, compare, select, and purchase to cyborg-operated warehouses. Perhaps this rapid and fundamental revision of function is an inevitable result of the increasing rate of technical reformation of everyday life. Then again, perhaps my lucid vision of this scene as a new-reality- becoming is an example of what has been called “dystopian imagination”—an imaginary projection of “ethical and political concern” [Baccolini & Moylan, 2]. Or maybe it’s only a personal paranoia about the brave new world unfolding.
- Creator/Author:
- Wizinsky, Matthew
- Submitter:
- Lora Alberto
- Date Uploaded:
- 01/23/2018
- Date Modified:
- 04/24/2018
- Date Created:
- 2017-10-31
- License:
- Attribution-NonCommercial 4.0 International
- Type:
- Image
- Description/Abstract:
- Starting or growing a co-op/internship program can be intimidating; for both educators and potential employer partners. In an effort to learn the pain points for both parties, opportunities to break down barriers and build bridges, and identify actionable steps to get started, faculty from the University of Cincinnati’s Division of Experience-Based Learning and Career Education conducted a two-year research project with 65 co-op and internship employers from more 15 unique industry clusters, and 50 university faculty and staff representing 24 unique institutions. This poster will graphically share the resulting findings from more than 1250 qualitative responses, and generate discussion on the educational pedagogy of creating best practices for employer partners. Find out what “the survey says”!
- Creator/Author:
- Damschroder, Cindy
- Submitter:
- Cindy Damschroder
- Date Uploaded:
- 01/15/2018
- Date Modified:
- 05/23/2019
- Date Created:
- 2017-10-29
- License:
- Public Domain Mark 1.0
- Type:
- Dataset
- Description/Abstract:
- This data set describes the Mann-Whitney U test statistical analysis of the completeness profile for data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h
- Creator/Author:
- Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/12/2018
- Date Modified:
- 05/15/2018
- Date Created:
- 2017-09
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- This data set measures the number of keywords associated with data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h
- Creator/Author:
- Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/12/2018
- Date Modified:
- 05/15/2018
- Date Created:
- 2017-09
- License:
- Open Data Commons Attribution License (ODC-By)
1737. Figure 3 IDCC 2018 Digital object identifiers for data sets in four institutional repositories
- Type:
- Dataset
- Description/Abstract:
- This data set measures whether data sets in four institutional repositories have digital object identifiers or not. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h
- Creator/Author:
- Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/12/2018
- Date Modified:
- 05/15/2018
- Date Created:
- 2017-09
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- This data set describes the type and number of documentation that accompany and describe data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h
- Creator/Author:
- Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/12/2018
- Date Modified:
- 05/15/2018
- Date Created:
- 2017-09
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- This data set describes the percent completeness of metadata options for data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h Please use the Citation: Koshoffer, A., Neeser, A., Johnston L.R., and Newman L.D., (2018) "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation", International Digital Curation Conference, Barcelona, Spain. Digital Curation Centre.
- Creator/Author:
- Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/12/2018
- Date Modified:
- 10/27/2018
- Date Created:
- 2017-09
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- This data set is the raw data underlying the paper entitled "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation" presented at the International Digital Curation Conference in Barcelona, Spain (Feb 2018). All figures and tables in the publication were based on the analysis of this data set. Please use the Citation: Koshoffer, A., Neeser, A., Johnston L.R., and Newman L.D., (2018) "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation", International Digital Curation Conference, Barcelona, Spain. Digital Curation Centre.
- Creator/Author:
- Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 01/11/2018
- Date Modified:
- 10/27/2018
- Date Created:
- 2016-06 to 2017-10
- License:
- Open Data Commons Attribution License (ODC-By)