Mihaela Vorvoreanu
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- CERIAS '11: Proceedings of the 12th Annual Information Security Symposium (2)
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- research-articleOpen AccessPublished By ACMPublished By ACM
Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles
- Andrew Anderson
Oregon State University, Corvallis, OR, USA
, - Jimena Noa Guevara
Oregon State University, Corvallis, OR, USA
, - Fatima Moussaoui
Oregon State University, Corvallis, OR, USA
, - Tianyi Li
Purdue University, West Lafayette, IN, USA
, - Mihaela Vorvoreanu
Microsoft, Redmond, WA, USA
, - Margaret Burnett
Oregon State University, Corvallis, OR, USA
ACM Transactions on Interactive Intelligent Systems, Volume 14, Issue 3•September 2024, Article No.: 21, pp 1-90 • https://doi.org/10.1145/3663740Motivations: Recent research has emerged on generally how to improve AI products’ human-AI interaction (HAI) user experience (UX), but relatively little is known about HAI-UX inclusivity. For example, what kinds of users are supported, and who are left ...
- 0Citation
- 2,046
- Downloads
MetricsTotal Citations0Total Downloads2,046Last 12 Months2,046Last 6 weeks659
- Andrew Anderson
- research-articleOpen AccessPublished By ACMPublished By ACM
UX Matters: The Critical Role of UX in Responsible AI
- Q. Vera Liao
Microsoft Research
, - Mihaela Vorvoreanu
Microsoft
, - Hari Subramonyam
Stanford University
, - Lauren Wilcox
eBay and Georgia Institute of Technology
Interactions, Volume 31, Issue 4•July - August 2024, pp 22-27 • https://doi.org/10.1145/3665504- 0Citation
- 3,956
- Downloads
MetricsTotal Citations0Total Downloads3,956Last 12 Months3,956Last 6 weeks353
- Q. Vera Liao
- research-articleOpen AccessPublished By ACMPublished By ACM
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
- Sunnie S. Y. Kim
Princeton University, USA
, - Q. Vera Liao
Microsoft, Canada
, - Mihaela Vorvoreanu
Microsoft, United States of America
, - Stephanie Ballard
Microsoft, United States of America
, - Jennifer Wortman Vaughan
Microsoft, United States of America
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency•June 2024, pp 822-835• https://doi.org/10.1145/3630106.3658941Widely deployed large language models (LLMs) can produce convincing yet incorrect outputs, potentially misleading users who may rely on them as if they were correct. To reduce such overreliance, there have been calls for LLMs to communicate their ...
- 5Citation
- 4,986
- Downloads
MetricsTotal Citations5Total Downloads4,986Last 12 Months4,986Last 6 weeks449- 1
Supplementary MaterialAppendix.pdf
- Sunnie S. Y. Kim
- research-articleOpen AccessPublished By ACMPublished By ACM
Assessing Human-AI Interaction Early through Factorial Surveys: A Study on the Guidelines for Human-AI Interaction
- Tianyi Li
Purdue University
, - Mihaela Vorvoreanu
Microsoft
, - Derek Debellis
Microsoft
, - Saleema Amershi
Microsoft
ACM Transactions on Computer-Human Interaction, Volume 30, Issue 5•October 2023, Article No.: 69, pp 1-45 • https://doi.org/10.1145/3511605This work contributes a research protocol for evaluating human-AI interaction in the context of specific AI products. The research protocol enables UX and HCI researchers to assess different human-AI interaction solutions and validate design decisions ...
- 13Citation
- 8,958
- Downloads
MetricsTotal Citations13Total Downloads8,958Last 12 Months5,871Last 6 weeks675
- Tianyi Li
- coursePublished By ACMPublished By ACM
Create Effective and Responsible AI User Experiences with The Human-AI Experience (HAX) Toolkit
- Mihaela Vorvoreanu
Microsoft, United States
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems•April 2023, Article No.: 534, pp 1-2• https://doi.org/10.1145/3544549.3574191The HAX Toolkit (https://aka.ms/haxtoolkit) is a set of collaborative tools that helps teams working on user-facing AI plan, create, and evaluate human-AI user experiences. This course will help AI practitioners, human-AI interaction researchers, ...
- 0Citation
- 284
- Downloads
MetricsTotal Citations0Total Downloads284Last 12 Months169Last 6 weeks20
- Mihaela Vorvoreanu
- research-articlePublished By ACMPublished By ACM
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata
- Amy K. Heger
Microsoft, St. Louis, MO, USA
, - Liz B. Marquis
University of Michigan, Ann Arbor, MI, USA
, - Mihaela Vorvoreanu
Microsoft, Redmond, WA, USA
, - Hanna Wallach
Microsoft, New York City, NY, USA
, - Jennifer Wortman Vaughan
Microsoft, New York, NY, USA
Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW2•November 2022, Article No.: 340, pp 1-29 • https://doi.org/10.1145/3555760Data is central to the development and evaluation of machine learning (ML) models. However, the use of problematic or inappropriate datasets can result in harms when the resulting models are deployed. To encourage responsible AI practice through more ...
- 24Citation
- 472
- Downloads
MetricsTotal Citations24Total Downloads472Last 12 Months204Last 6 weeks41- 1
Supplementary Materialv6cscw2340aux.pdf
- Amy K. Heger
- research-articleOpen AccessPublished By ACMPublished By ACM
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
- Zijie J. Wang
Georgia Institute of Technology, Atlanta, GA, USA
, - Alex Kale
University of Washington, Seattle, WA, USA
, - Harsha Nori
Microsoft Research, Redmond, WA, USA
, - Peter Stella
NYU Langone Health, New York City, NY, USA
, - Mark E. Nunnally
NYU Langone Health, New York City, NY, USA
, - Duen Horng Chau
Georgia Institute of Technology, Atlanta, GA, USA
, - Mihaela Vorvoreanu
Microsoft Research, Redmond, WA, USA
, - Jennifer Wortman Vaughan
Microsoft Research, New York City, NY, USA
, - Rich Caruana
Microsoft Research, Redmond, WA, USA
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining•August 2022, pp 4132-4142• https://doi.org/10.1145/3534678.3539074Machine learning (ML) interpretability techniques can reveal undesirable patterns in data that models exploit to make predictions-potentially causing harms once deployed. However, how to take action to address these patterns is not always clear. In a ...
- 14Citation
- 1,599
- Downloads
MetricsTotal Citations14Total Downloads1,599Last 12 Months570Last 6 weeks47- 1
Supplementary Materialgam-changer-talk.mp4
- Zijie J. Wang
- research-articlePublished By ACMPublished By ACM
"Am I doing this all wrong?": Challenges and Opportunities in Family Information Management
- Shruti Sannon
Cornell University, Ithaca, NY, USA
, - Mihaela Vorvoreanu
Microsoft, Redmond, WA, USA
, - Kathleen Walker
Allovus Design, Seattle, WA, USA
, - Adam Fourney
Microsoft, Redmond, WA, USA
Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue CSCW2•October 2020, Article No.: 138, pp 1-28 • https://doi.org/10.1145/3415209Running a household requires a large amount of labor, from ensuring multiple bills are paid to organizing important documents. Failure to manage such information can have critical consequences for the financial and psychological well-being of the family; ...
- 0Citation
- 253
- Downloads
MetricsTotal Citations0Total Downloads253Last 12 Months49Last 6 weeks14
- Shruti Sannon
- research-articlePublic AccessPublished By ACMPublished By ACM
From Gender Biases to Gender-Inclusive Design: An Empirical Investigation
- Mihaela Vorvoreanu
Microsoft Research & Purdue University, Redmond, WA, USA
, - Lingyi Zhang
Purdue University, West Lafayette, IN, USA
, - Yun-Han Huang
Purdue University, West Lafayette, IN, USA
, - Claudia Hilderbrand
Oregon State University, Corvallis, OR, USA
, - Zoe Steine-Hanson
Oregon State University, Corvallis, OR, USA
, - Margaret Burnett
Oregon State University, Corvallis, OR, USA
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems•May 2019, Paper No.: 53, pp 1-14• https://doi.org/10.1145/3290605.3300283In recent years, research has revealed gender biases in numerous software products. But although some researchers have found ways to improve gender participation in specific software projects, general methods focus mainly on detecting gender biases -- ...
- 85Citation
- 5,083
- Downloads
MetricsTotal Citations85Total Downloads5,083Last 12 Months1,113Last 6 weeks123- 2
- Mihaela Vorvoreanu
- research-articlePublished By ACMPublished By ACM
Guidelines for Human-AI Interaction
- Saleema Amershi
Microsoft, Seattle, WA, USA
, - Dan Weld
University of Washington & Microsoft Research, Seattle, WA, USA
, - Mihaela Vorvoreanu
Microsoft, Redmond, WA, USA
, - Adam Fourney
Microsoft, Redmond, WA, USA
, - Besmira Nushi
Microsoft, Redmond, WA, USA
, - Penny Collisson
Microsoft, Redmond, WA, USA
, - Jina Suh
Microsoft, Remond, WA, USA
, - Shamsi Iqbal
Microsoft, Redmond, WA, USA
, - Paul N. Bennett
Microsoft, Redmond, WA, USA
, - Kori Inkpen
Microsoft, Redmond, WA, USA
, - Jaime Teevan
Microsoft, Redmond, WA, USA
, - Ruth Kikin-Gil
Microsoft, Redmond, WA, USA
, - Eric Horvitz
Microsoft, Redmond, WA, USA
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems•May 2019, Paper No.: 3, pp 1-13• https://doi.org/10.1145/3290605.3300233Advances in artificial intelligence (AI) frame opportunities and challenges for user interface design. Principles for human-AI interaction have been discussed in the human-computer interaction community for over two decades, but more study and ...
- 934Citation
- 25,716
- Downloads
MetricsTotal Citations934Total Downloads25,716Last 12 Months6,376Last 6 weeks643- 1
Supplementary Materialpaper003.zip
- Saleema Amershi
- research-articlePublished By ACMPublished By ACM
Generating Mobile Application Onboarding Insights Through Minimalist Instruction
- Brendan Strahm
Purdue University, West Lafayette, IN, USA
, - Colin M. Gray
Purdue University, West Lafayette, IN, USA
, - Mihaela Vorvoreanu
Purdue University, West Lafayette, IN, USA
DIS '18: Proceedings of the 2018 Designing Interactive Systems Conference•June 2018, pp 361-372• https://doi.org/10.1145/3196709.3196727Mobile application designers use onboarding task flows to help first time users learn and engage with key application functionality. Although some guidelines for designing onboarding flows have been offered by practitioners, a systematic, research-...
- 21Citation
- 1,173
- Downloads
MetricsTotal Citations21Total Downloads1,173Last 12 Months123Last 6 weeks8
- Brendan Strahm
- research-articlePublished By ACMPublished By ACM
Advancing UX Education: A Model for Integrated Studio Pedagogy
- Mihaela Vorvoreanu
Purdue University, West Lafayette, IN, USA
, - Colin M. Gray
Purdue University, West Lafayette, IN, USA
, - Paul Parsons
Purdue University, West Lafayette, IN, USA
, - Nancy Rasche
Purdue University, West Lafayette, IN, USA
CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems•May 2017, pp 1441-1446• https://doi.org/10.1145/3025453.3025726The rapid growth of the UX profession has led to an increased need for qualified practitioners and a proliferation of UX educational programs offered in both academia and industry. In this note, we present the design and initial evaluation of a new ...
- 56Citation
- 1,101
- Downloads
MetricsTotal Citations56Total Downloads1,101Last 12 Months89Last 6 weeks6- 1
Supplementary Materialp1441-vorvoreanu.mp4
- Mihaela Vorvoreanu
- Article
Interface Aesthetics Effect on Usability: A Comparison of Two Screen Designs
- Liang Zhao
Computer Graphics Technology, Purdue University, West Lafayette, USA
, - Mihaela Vorvoreanu
Computer Graphics Technology, Purdue University, West Lafayette, USA
Proceedings, Part I, of the 18th International Conference on Human-Computer Interaction. Theory, Design, Development and Practice - Volume 9731•July 2016, pp 417-430• https://doi.org/10.1007/978-3-319-39510-4_39An empirical study was conducted to examine whether the redesigned version of an online interactive visual analytics platform has a positive effect on perceived usability. 8 participants took part in the experiment, completed 8 tasks and answered follow-...
- 0Citation
MetricsTotal Citations0
- Liang Zhao
- research-article
Using Visualization to Derive Insights from Research Funding Portfolios
- Andreea Molnar
Portsmouth Univ., Portsmouth, UK
, - Ann F. McKenna
Polytech. Sch., Arizona State Univ., Tempe, AZ, USA
, - Qing Liu
Polytech. Sch., Arizona State Univ., Tempe, AZ, USA
, - Mihaela Vorvoreanu
Purdue Univ., West Lafayette, IN, USA
, - Krishna Madhavan
Purdue Univ., West Lafayette, IN, USA
IEEE Computer Graphics and Applications, Volume 35, Issue 3•May-June 2015, pp 91-c3 • https://doi.org/10.1109/MCG.2015.68Characterizing the existing funding portfolio of a federal agency is difficult due to the number, complexity, and diversity of funded projects and associated metadata. Determining the impact of a funded project can be even more challenging, especially in ...
- 0Citation
MetricsTotal Citations0
- Andreea Molnar
- research-article
The effects of parallax scrolling on user experience in web design
- Dede Frederick
Purdue University, West Lafayette, Indiana
, - James Mohler
Purdue University, West Lafayette, Indiana
, - Mihaela Vorvoreanu
Purdue University, West Lafayette, Indiana
, - Ronald Glotzbach
Purdue University, West Lafayette, Indiana
Parallax scrolling is becoming an increasingly popular strategy in web design. This scrolling technique creates the illusion of depth on a webpage by making the background images move slower than the foreground images. In addition to its ability to ...
- 1Citation
- 341
- Downloads
MetricsTotal Citations1Total Downloads341Last 12 Months14
- Dede Frederick
- Article
Teaching and Learning in a Social Media Ecosystem: A Case Study
HICSS '15: Proceedings of the 2015 48th Hawaii International Conference on System Sciences•January 2015, pp 1940-1950• https://doi.org/10.1109/HICSS.2015.233This in-depth case study of a social media learning ecosystem in higher education used mixed-methods to evaluate a strategic, pedagogy-driven integration of social media in college courses. In-depth qualitative and quantitative analyses suggest that the ...
- 0Citation
MetricsTotal Citations0
- Article
A Web-Based Tool for Collaborative Social Media Data Analysis
CGC '13: Proceedings of the 2013 International Conference on Cloud and Green Computing•September 2013, pp 383-388• https://doi.org/10.1109/CGC.2013.67User-generated content on social media sites such as Twitter and Facebook provides opportunity for researchers in various fields to understand human behaviors and social phenomena. On the one hand, these human behaviors and social phenomena are very ...
- 0Citation
MetricsTotal Citations0
- Article
Designing discovery experience for big data interaction: a case of web-based knowledge mining and interactive visualization platform
- Qing Liu
Arizona State University
, - Mihaela Vorvoreanu
Purdue University
, - Krishna P. C. Madhavan
Purdue University
, - Ann F. McKenna
Arizona State University
DUXU'13: Proceedings of the Second international conference on Design, User Experience, and Usability: web, mobile, and product design - Volume Part IV•July 2013, pp 543-552• https://doi.org/10.1007/978-3-642-39253-5_60The exponentially growing data in every aspect of human lives is offering both opportunities to gain unprecedented insights and challenges for designing efficient discovery experiences. To respond to the challenge of dealing with big data, our work is ...
- 0Citation
MetricsTotal Citations0
- Qing Liu
- research-article
Portfolio Mining
- Krishna P. C. Madhavan
Purdue University
, - Mihaela Vorvoreanu
Purdue University
, - Niklas Elmqvist
Purdue University
, - Aditya Johri
Virginia Tech
, - Naren Ramakrishnan
Virginia Tech
, - G. Alan Wang
Virginia Tech
, - Ann McKenna
Arizona State University
Computer, Volume 45, Issue 10•October 2012, pp 95-99 • https://doi.org/10.1109/MC.2012.351Portfolio mining facilitates the creation of actionable knowledge, catalyzes innovations, and sustains research communities.
- 2Citation
MetricsTotal Citations2
- Krishna P. C. Madhavan
- research-article
Web 2.0: a complex balancing act
- Lorraine Kisselburgh
Purdue University
, - Mihaela Vorvoreanu
Purdue University
, - Eugene Spafford
Purdue University
, - Preeti Rao
Purdue University
CERIAS '11: Proceedings of the 12th Annual Information Security Symposium•April 2011, Article No.: 28, pp 1-1Web 2.0 -- A Complex Balancing Act The First Global Study on Web 2.0 Usage, Risks and Best Practices Lorraine Kisselburgh, Mihaela Vorvoreanu, Eugene Spafford & Preeti Rao Abstract Defined broadly as consumer social media applications such as Facebook, ...
- 0Citation
MetricsTotal Citations0
- Lorraine Kisselburgh
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner