Kobus J Barnard
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- research-article
The ToMCAT dataset
- Adarsh Pyarelal
School of Information, University of Arizona
, - Eric Duong
Department of Computer Science, University of Arizona
, - Caleb Jones Shibu
Department of Computer Science, University of Arizona
, - Paulo Soares
Department of Computer Science, University of Arizona
, - Savannah Boyd
Department of Psychology, University of Arizona
, - Payal Khosla
Norton School of Human Ecology, University of Arizona
, - Valeria Pfeifer
Department of Psychology, University of Arizona
, - Diheng Zhang
Department of Psychology, University of Arizona
, - Eric Andrews
Department of Psychology, University of Arizona
, - Rick Champlin
School of Information, University of Arizona
, - Vincent Raymond
Lum AI, University of Arizona
, - Meghavarshini Krishnaswamy
Department of Linguistics, University of Arizona
, - Clayton Morrison
School of Information, University of Arizona
, - Emily Butler
Norton School of Human Ecology, University of Arizona
, - Kobus Barnard
Department of Computer Science, University of Arizona
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems•December 2023, Article No.: 1781, pp 40872-40923We present a rich, multimodal dataset consisting of data from 40 teams of three humans conducting simulated urban search-and-rescue (SAR) missions in a Minecraft-based testbed, collected for the Theory of Mind-based Cognitive Architecture for Teams (...
- 0Citation
MetricsTotal Citations0
- Adarsh Pyarelal
- Article
Modular Procedural Generation for Voxel Maps
- Adarsh Pyarelal
University of Arizona, 85721, Tucson, AZ, USA
, - Aditya Banerjee
University of Arizona, 85721, Tucson, AZ, USA
, - Kobus Barnard
University of Arizona, 85721, Tucson, AZ, USA
Computational Theory of Mind for Human-Machine Teams•November 2021, pp 85-101• https://doi.org/10.1007/978-3-031-21671-8_6AbstractTask environments developed in Minecraft are becoming increasingly popular for artificial intelligence (AI) research. However, most of these are currently constructed manually, thus failing to take advantage of procedural content generation (PCG), ...
- 1Citation
MetricsTotal Citations1
- Adarsh Pyarelal
- research-articlePublic AccessPublished By ACMPublished By ACM
Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks
- Anas Katib
University of Missouri-Kansas City, MO
, - Praveen Rao
University of Missouri-Kansas City, MO
, - Kobus Barnard
University of Arizona, Tucson, AZ
, - Charles Kamhoua
Army Research Lab, Adelphi, MD
ACM Transactions on Knowledge Discovery from Data, Volume 13, Issue 2•April 2019, Article No.: 14, pp 1-40 • https://doi.org/10.1145/3301304In this article, we focus on the problem of learning a Bayesian network over distributed data stored in a commodity cluster. Specifically, we address the challenge of computing the scoring function over distributed data in an efficient and scalable ...
- 4Citation
- 607
- Downloads
MetricsTotal Citations4Total Downloads607Last 12 Months99Last 6 weeks22
- Anas Katib
- Article
Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video
- Ernesto Brau
CiBO Technologies, 02141, Cambridge, MA, USA
, - Jinyan Guan
CiBO Technologies, 02141, Cambridge, MA, USA
, - Tanya Jeffries
University of Arizona, 85711, Tucson, AZ, USA
, - Kobus Barnard
University of Arizona, 85711, Tucson, AZ, USA
Computer Vision – ECCV 2018•September 2018, pp 641-659• https://doi.org/10.1007/978-3-030-01225-0_38AbstractWe develop using person gaze direction for scene understanding. In particular, we use intersecting gazes to learn 3D locations that people tend to look at, which is analogous to having multiple camera views. The 3D locations that we discover need ...
- 1Citation
MetricsTotal Citations1
- Ernesto Brau
- Article
Moderated and drifting linear dynamical systems
- Jinyan Guan
Department of Computer Science, University of Arizona
, - Kyle Simek
Department of Computer Science, University of Arizona
, - Ernesto Brau
Department of Computer Science, Boston College
, - Clayton T. Morrison
School of Information Science, Technology and Arts, University of Arizona
, - Emily A. Butler
Norton School of Family and Consumer Sciences, University of Arizona
, - Kobus Barnard
Department of Computer Science, University of Arizona
ICML'15: Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37•July 2015, pp 2473-2482We consider linear dynamical systems, particularly coupled linear oscillators, where the parameters represent meaningful values in a domain theory, and thus learning what affects them contributes to explanation. Rather than allow perturbations of latent ...
- 0Citation
MetricsTotal Citations0
- Jinyan Guan
- Article
Bayesian 3D Tracking from Monocular Video
ICCV '13: Proceedings of the 2013 IEEE International Conference on Computer Vision•December 2013, pp 3368-3375• https://doi.org/10.1109/ICCV.2013.418We develop a Bayesian modeling approach for tracking people in 3D from monocular video with unknown cameras. Modeling in 3D provides natural explanations for occlusions and smoothness discontinuities that result from projection, and allows priors on ...
- 1Citation
MetricsTotal Citations1
- Article
A Statistical Model for Recreational Trails in Aerial Images
CVPR '13: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition•June 2013, pp 337-344• https://doi.org/10.1109/CVPR.2013.50We present a statistical model of aerial images of recreational trails, and a method to infer trail routes in such images. We learn a set of textons describing the images, and use them to divide the image into super-pixels represented by their text on. ...
- 0Citation
MetricsTotal Citations0
- Article
Understanding Bayesian Rooms Using Composite 3D Object Models
CVPR '13: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition•June 2013, pp 153-160• https://doi.org/10.1109/CVPR.2013.27We develop a comprehensive Bayesian generative model for understanding indoor scenes. While it is common in this domain to approximate objects with 3D bounding boxes, we propose using strong representations with finer granularity. For example, we model ...
- 5Citation
MetricsTotal Citations5
- posterPublished By ACMPublished By ACM
Client-side backprojection of presentation slides into educational video
- Yekaterina Kharitonova
University of Arizona, Tucson, AZ, USA
, - Qiyam Tung
University of Arizona, Tucson, AZ, USA
, - Alexander Danehy
University of Arizona, Tucson, AZ, USA
, - Alon Efrat
University of Arizona, Tucson, AZ, USA
, - Kobus Barnard
University of Arizona, Tucson, AZ, USA
MM '12: Proceedings of the 20th ACM international conference on Multimedia•October 2012, pp 1005-1008• https://doi.org/10.1145/2393347.2396368A significant part of many videos of lectures is presentation slides that occupy much of the field of view. Further, for a student studying the lecture, having the slides sharply displayed is especially important, compared with the speaker, background, ...
- 0Citation
- 143
- Downloads
MetricsTotal Citations0Total Downloads143Last 12 Months2
- Yekaterina Kharitonova
Vision and Language Integration
- 0Citation
MetricsTotal Citations0
- short-paperPublished By ACMPublished By ACM
Fusing object detection and region appearance for image-text alignment
- Luca Del Pero
University of Arizona, Tucson, AZ, USA
, - Philip Lee
University of Arizona, Tucson, AZ, USA
, - James Magahern
University of Arizona, Tucson, AZ, USA
, - Emily Hartley
University of Arizona, Tucson, AZ, USA
, - Kobus Barnard
University of Arizona, Tucson, AZ, USA
, - Ping Wang
ObjectVideo, Reston, VA, USA
, - Atul Kanaujia
ObjectVideo, Reston, VA, USA
, - Niels Haering
ObjectVideo, Reston, VA, USA
MM '11: Proceedings of the 19th ACM international conference on Multimedia•November 2011, pp 1113-1116• https://doi.org/10.1145/2072298.2071951We present a method for automatically aligning words to image regions that integrates specific object classifiers (e.g., "car" detectors) with weak models based on appearance features. Previous strategies have largely focused on the latter, and thus ...
- 1Citation
- 109
- Downloads
MetricsTotal Citations1Total Downloads109Last 12 Months1
- Luca Del Pero
- short-paperPublished By ACMPublished By ACM
Expanding the point: automatic enlargement of presentation video elements
- Qiyam Tung
University of Arizona, Tucson, AZ, USA
, - Ranjini Swaminathan
University of Arizona, Tucson, AZ, USA
, - Alon Efrat
University of Arizona, Tucson, AZ, USA
, - Kobus Barnard
University of Arizona, Tucson, AZ, USA
MM '11: Proceedings of the 19th ACM international conference on Multimedia•November 2011, pp 961-964• https://doi.org/10.1145/2072298.2071913We present a system that assists users in viewing videos of lectures on small screen devices, such as cell phones. It automatically identifies semantic units on the slides, such as bullets, groups of bullets, and images. As the participant views the ...
- 4Citation
- 85
- Downloads
MetricsTotal Citations4Total Downloads85
- Qiyam Tung
- research-article
Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos
- Quanfu Fan
T. J. Watson Res. Center, IBM, Armonk, NY, USA
, - K. Barnard,
- A. Amir,
- A. Efrat
IEEE Transactions on Image Processing, Volume 20, Issue 8•August 2011, pp 2315-2328 • https://doi.org/10.1109/TIP.2011.2109727We describe a robust and efficient method for automatically matching and time-aligning electronic slides to videos of corresponding presentations. Matching electronic slides to videos provides new methods for indexing, searching, and browsing videos in ...
- 5Citation
MetricsTotal Citations5
- Quanfu Fan
- Article
Sampling bedrooms
- L. Del Pero
Univ. of Arizona, Tucson, AZ, USA
, - J. Guan
Univ. of Arizona, Tucson, AZ, USA
, - E. Brau
Univ. of Arizona, Tucson, AZ, USA
, - J. Schlecht
Univ. of Heidelberg, Heidelberg, Germany
, - K. Barnard
Univ. of Arizona, Tucson, AZ, USA
CVPR '11: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition•June 2011, pp 2009-2016• https://doi.org/10.1109/CVPR.2011.5995737We propose a top down approach for understanding indoor scenes such as bedrooms and living rooms. These environments typically have the Manhattan world property that many surfaces are parallel to three principle ones. Further, the 3D geometry of the ...
- 5Citation
MetricsTotal Citations5
- L. Del Pero
- Article
A generative statistical model for tracking multiple smooth trajectories
- E. Brau
Comput. Sci., Univ. of Arizona, Tucson, AZ, USA
, - Kobus Barnard
Comput. Sci., Univ. of Arizona, Tucson, AZ, USA
, - Ravi Palanivelu
Plant Sci., Univ. of Arizona, Tucson, AZ, USA
, - Damayanthi Dunatunga
Plant Sci., Univ. of Arizona, Tucson, AZ, USA
, - Tatsuya Tsukamoto
Plant Sci., Univ. of Arizona, Tucson, AZ, USA
, - P. Lee
Comput. Sci., Univ. of Arizona, Tucson, AZ, USA
CVPR '11: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition•June 2011, pp 1137-1144• https://doi.org/10.1109/CVPR.2011.5995736We present a general model for tracking smooth trajectories of multiple targets in complex data sets, where tracks potentially cross each other many times. As the number of overlapping trajectories grows, exploiting smoothness becomes increasingly ...
- 0Citation
MetricsTotal Citations0
- E. Brau
- Article
Improving and Aligning Speech with Presentation Slides
ICPR '10: Proceedings of the 2010 20th International Conference on Pattern Recognition•August 2010, pp 3280-3283• https://doi.org/10.1109/ICPR.2010.802We present a novel method to correct automatically generated speech transcripts of talks and lecture videos using text from accompanying presentation slides. The approach finesses the challenges of dealing with technical terms which are often outside ...
- 3Citation
MetricsTotal Citations3
- article
A fast connected components labeling algorithm and its application to real-time pupil detection
- Prasad Gabbur
University of Arizona, 3DVIS Lab, College of Optical Sciences, 1630 E. University Blvd., 85721, Tucson, AZ, USA
, - Hong Hua
University of Arizona, 3DVIS Lab, College of Optical Sciences, 1630 E. University Blvd., 85721, Tucson, AZ, USA
, - Kobus Barnard
University of Arizona, Department of Computer Science, 1040 E. 4th Street, 85721, Tucson, AZ, USA
Machine Vision and Applications, Volume 21, Issue 5•August 2010, pp 779-787 • https://doi.org/10.1007/s00138-009-0183-1We describe a fast connected components labeling algorithm using a region coloring approach. It computes region attributes such as size, moments, and bounding boxes in a single pass through the image. Working in the context of real-time pupil detection ...
- 0Citation
MetricsTotal Citations0
- Prasad Gabbur
- posterPublished By ACMPublished By ACM
Region-based automatic web image selection
- Keiji Yanai
The University of Electro-Communications, Tokyo, Japan
, - Kobus Barnard
University of Arizona, Tucson, AZ, USA
MIR '10: Proceedings of the international conference on Multimedia information retrieval•March 2010, pp 305-312• https://doi.org/10.1145/1743384.1743436We propose a new Web image selection method which employs the region-based bag-of-features representation. The contribution of this work is (1) to introduce the region-based bag-of-features representation into an Web image selection task where training ...
- 1Citation
- 267
- Downloads
MetricsTotal Citations1Total Downloads267
- Keiji Yanai
- Article
Learning models of object structure
- Joseph Schlecht
Department of Computer Science, University of Arizona
, - Kobus Barnard
Department of Computer Science, University of Arizona
NIPS'09: Proceedings of the 22nd International Conference on Neural Information Processing Systems•December 2009, pp 1615-1623We present an approach for learning stochastic geometric models of object categories from single view images. We focus here on models expressible as a spatially contiguous assemblage of blocks. Model topologies are learned across groups of images, and ...
- 1Citation
MetricsTotal Citations1
- Joseph Schlecht
- Article
Accurate alignment of presentation slides with educational video
- Quanfu Fan
Department of Computer Science, University of Arizona, Tucson, AZ and IBM T. J. Watson Research Center, Hawthorne, NY
, - Kobus Barnard
Department of Computer Science, University of Arizona, Tucson, AZ
, - Arnon Amir
IBM Almaden Research Center, San Jose, CA
, - Alon Efrat
Department of Computer Science, University of Arizona, Tucson, AZ
ICME'09: Proceedings of the 2009 IEEE international conference on Multimedia and Expo•June 2009, pp 1198-1201Spatio-temporal alignment of electronic slides with corresponding presentation video opens up a number of possibilities for making the instructional content more accessible and understandable, such as video quality improvement, better content analysis ...
- 1Citation
MetricsTotal Citations1
- Quanfu Fan
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