Nathaniel Steele Dennler
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- demonstrationPublished By ACMPublished By ACM
PyLips: an Open-Source Python Package to Expand Participation in Embodied Interaction
- Nathaniel Steele Dennler
Computer Science Department, University of Southern California, United States
, - Evan Torrence
Computer Science, University of Southern California, United States
, - Uksang Yoo
Robotics Institute, Carnegie Mellon University, United States
, - Stefanos Nikolaidis
University of Southern California, United States
, - Maja Mataric
University of Southern California, United States
UIST Adjunct '24: Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology•October 2024, Article No.: 33, pp 1-4• https://doi.org/10.1145/3672539.3686747We demonstrate PyLips, a Python package for expanding access to screen-based facial interfaces for text-to-speech. PyLips can be used to rapidly develop social interactions for a wide variety of applications. We designed PyLips to be easy to use for ...
- 0Citation
- 59
- Downloads
MetricsTotal Citations0Total Downloads59Last 12 Months59Last 6 weeks13- 1
Supplementary MaterialPyLips Demo Video.mp4
- Nathaniel Steele Dennler
- extended-abstractPublished By ACMPublished By ACM
Physical and Social Adaptation for Assistive Robot Interactions
- Nathaniel Steele Dennler
Computer Science Department, University of Southern California, United States
UIST Adjunct '24: Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology•October 2024, Article No.: 63, pp 1-6• https://doi.org/10.1145/3672539.3686713Robots have the potential to provide users with limited mobility additional ways of interacting with the world around them. However, each user has preferences for how they interact with these physical interfaces. My dissertation research develops tools ...
- 0Citation
- 47
- Downloads
MetricsTotal Citations0Total Downloads47Last 12 Months47Last 6 weeks4
- Nathaniel Steele Dennler
- short-paperOpen AccessPublished By ACMPublished By ACM
Using Exploratory Search to Learn Representations for Human Preferences
- Nathaniel Steele Dennler
University of Southern California, Los Angeles, CA, USA
, - Stefanos Nikolaidis
University of Southern California, Los Angeles, CA, USA
, - Maja Mataric
University of Southern California, Los Angeles, CA, USA
HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction•March 2024, pp 392-396• https://doi.org/10.1145/3610978.3640745Robots that interact with humans must adapt to the different preferences of human users. However, the time and effort needed for non-expert users to specify their preferences to a robot are a barrier to effective robot adaptation. Better representations ...
- 0Citation
- 251
- Downloads
MetricsTotal Citations0Total Downloads251Last 12 Months251Last 6 weeks30- 1
Supplementary Materiallbr1249.mp4
- Nathaniel Steele Dennler
- short-paperOpen AccessPublished By ACMPublished By ACM
MOE-Hair: Toward Soft and Compliant Contact-rich Hair Manipulation and Care
- Uksang Yoo
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA
, - Nathaniel Dennler
Computer Science Department, University of Southern California, Los Angeles, CA, USA
, - Maja Mataric
Computer Science Department, University of Southern California, Los Angeles, CA, USA
, - Stefanos Nikolaidis
Computer Science Department, University of Southern California, Los Angeles, CA, USA
, - Jean Oh
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA
, - Jeffrey Ichnowski
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA
HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction•March 2024, pp 1163-1167• https://doi.org/10.1145/3610978.3640682Hair-care robots have the potential to alleviate labor shortages in elderly care and enable those with limited mobility to express their identities through hair styling. In this work, we highlight two advantages that soft robotic manipulators have in ...
- 0Citation
- 288
- Downloads
MetricsTotal Citations0Total Downloads288Last 12 Months288Last 6 weeks29- 1
Supplementary Materiallbr1263.mp4
- Uksang Yoo
- short-paperPublished By ACMPublished By ACM
Adapting Task Difficulty in a Cup-Stacking Rehabilitative Task
- Melina Daniilidis
University of Pennsylvania, Philadelphia, PA, USA
, - Nathaniel Steele Dennler
University of Southern California, Los Angeles, CA, USA
, - Maja Matarić
University of Southern California, Los Angeles, CA, USA
, - Stefanos Nikolaidis
University of Southern California, Los Angeles, CA, USA
HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction•March 2024, pp 374-378• https://doi.org/10.1145/3610978.3640558As the need for accessible upper-body stroke rehabilitation grows, it becomes increasingly important to investigate how the difficulty level of rehabilitation tasks can be personalized to a patient and automatically adapted based on the patient's ...
- 1Citation
- 55
- Downloads
MetricsTotal Citations1Total Downloads55Last 12 Months55- 1
Supplementary Materiallbr1288.mp4
- Melina Daniilidis
- research-articlePublished By ACMPublished By ACM
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
- Nathan Dennler
University of Southern California, USA
, - Anaelia Ovalle
Computer Science, University of California, Los Angeles, USA
, - Ashwin Singh
QueerInAI, USA
, - Luca Soldaini
QueerInAI and Allen Institute for AI, USA
, - Arjun Subramonian
University of California, Los Angeles, USA
, - Huy Tu
QueerInAI, USA
, - William Agnew
Computer Science and Engineering, QueerInAI and University of Washington, USA
, - Avijit Ghosh
Khoury College of Computer Sciences, Queer in AI, USA
, - Kyra Yee
Queer in AI, USA
, - Irene Font Peradejordi
Queer in AI, USA
, - Zeerak Talat
Queer in AI, USA
, - Mayra Russo
Scientific Data Management, Queer in AI, Germany
, - Jess De Jesus De Pinho Pinhal
Queer in AI, France
AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society•August 2023, pp 375-386• https://doi.org/10.1145/3600211.3604682Bias evaluation benchmarks and dataset and model documentation have emerged as central processes for assessing the biases and harms of artificial intelligence (AI) systems. However, these auditing processes have been criticized for their failure to ...
- 4Citation
- 290
- Downloads
MetricsTotal Citations4Total Downloads290Last 12 Months168Last 6 weeks13- 1
Supplementary Materialworkshop-slides.pdf
- Nathan Dennler
- research-articleOpen AccessPublished By ACMPublished By ACM
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
- Bryon Tjanaka
University of Southern California, Los Angeles, United States of America
, - Matthew C Fontaine
University of Southern California, Los Angeles, United States of America
, - David H Lee
University of Southern California, Los Angeles, United States of America
, - Yulun Zhang
Carnegie Mellon University, Pittsburgh, United States of America
, - Nivedit Reddy Balam
University of Southern California, Los Angeles, United States of America
, - Nathaniel Dennler
University of Southern California, Los Angeles, United States of America
, - Sujay S Garlanka
University of Southern California, Los Angeles, United States of America
, - Nikitas Dimitri Klapsis
University of Southern California, Los Angeles, United States of America
, - Stefanos Nikolaidis
University of Southern California, Los Angelees, United States of America
GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference•July 2023, pp 220-229• https://doi.org/10.1145/3583131.3590374Recent years have seen a rise in the popularity of quality diversity (QD) optimization, a branch of optimization that seeks to find a collection of diverse, high-performing solutions to a given problem. To grow further, we believe the QD community ...
- 9Citation
- 399
- Downloads
MetricsTotal Citations9Total Downloads399Last 12 Months299Last 6 weeks37- 1
Supplementary Materialp220-tjanaka-suppl.pdf
- Bryon Tjanaka
- research-articlePublished By ACMPublished By ACM
Queer In AI: A Case Study in Community-Led Participatory AI
- Organizers Of Queerinai
Queer in AI, USA
, - Anaelia Ovalle
Queer In AI, USA
, - Arjun Subramonian
Queer in AI and University of California, Los Angeles, USA
, - Ashwin Singh
Queer in AI, India
, - Claas Voelcker
Queer in AI and University of Toronto, Vector Institute, Canada
, - Danica J. Sutherland
Queer in AI and University of British Columbia, Canada
, - Davide Locatelli
Queer in AI, Spain
, - Eva Breznik
Queer in AI and Uppsala University, Sweden
, - Filip Klubicka
Queer in AI and ADAPT Centre, Technological University Dublin, Ireland
, - Hang Yuan
Queer in AI, United Kingdom
, - Hetvi J
Queer in AI, United Kingdom
, - Huan Zhang
Queer in AI, USA
, - Jaidev Shriram
Queer in AI and University of California, San Diego, USA
, - Kruno Lehman
Queer in AI, Switzerland
, - Luca Soldaini
Queer in AI & Allen Institute for AI, USA
, - Maarten Sap
Queer in AI & Language Technologies Institute, Carnegie Mellon University & Allen Institute for AI, USA
, - Marc Peter Deisenroth
Queer in AI & University College London, United Kingdom
, - Maria Leonor Pacheco
Queer in AI & University of Colorado Boulder, USA
, - Maria Ryskina
Queer in AI & MIT, USA
, - Martin Mundt
Queer in AI & TU Darmstadt & hessian.AI, Germany
, - Milind Agarwal
Queer in AI & George Mason University, USA
, - Nyx Mclean
Queer in AI & Rhodes University, South Africa
, - Pan Xu
Queer in AI & Duke University, USA
, - A Pranav
Queer in AI, Hong Kong
, - Raj Korpan
Queer in AI & Iona University, USA
, - Ruchira Ray
Queer in AI, USA
, - Sarah Mathew
Queer in AI & Georgia Institute of Technology, USA
, - Sarthak Arora
Queer in AI, India
, - St John
Queer in AI & Aalto University, Finland
, - Tanvi Anand
Queer in AI, USA
, - Vishakha Agrawal
Queer in AI, India
, - William Agnew
Queer in AI & University of Washington, USA
, - Yanan Long
Queer in AI & University of Chicago, USA
, - Zijie J. Wang
Queer in AI & Georgia Tech, USA
, - Zeerak Talat
Queer in AI, Canada
, - Avijit Ghosh
Queer in AI & Northeastern University, USA
, - Nathaniel Dennler
Queer in AI, USA
, - Michael Noseworthy
Queer in AI, USA
, - Sharvani Jha
Queer in AI, USA
, - Emi Baylor
Queer In AI, Canada
, - Aditya Joshi
Queer In AI and SEEK, Australia
, - Natalia Y. Bilenko
Queer In AI, USA
, - Andrew Mcnamara
Queer in AI & Microsoft, Canada
, - Raphael Gontijo-Lopes
Queer in AI, USA
, - Alex Markham
Queer in AI, Sweden
, - Evyn Dong
Queer in AI, USA
, - Jackie Kay
Queer in AI, United Kingdom
, - Manu Saraswat
Queer in AI, Canada
, - Nikhil Vytla
Queer in AI, USA
, - Luke Stark
Queer in AI & Western University, Canada
FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency•June 2023, pp 1882-1895• https://doi.org/10.1145/3593013.3594134Queerness and queer people face an uncertain future in the face of ever more widely deployed and invasive artificial intelligence (AI). These technologies have caused numerous harms to queer people, including privacy violations, censoring and ...
- 23Citation
- 1,276
- Downloads
MetricsTotal Citations23Total Downloads1,276Last 12 Months660Last 6 weeks87- 1
Supplementary MaterialQueer_In_AI-6.pdf
- Organizers Of Queerinai
- research-articleOpen AccessPublished By ACMPublished By ACM
Design Metaphors for Understanding User Expectations of Socially Interactive Robot Embodiments
- Nathaniel Dennler
University of Southern California, Los Angeles, USA
, - Changxiao Ruan
University of Southern California, Los Angeles, USA
, - Jessica Hadiwijoyo
University of Southern California, Los Angeles, USA
, - Brenna Chen
University of Southern California, Los Angeles, USA
, - Stefanos Nikolaidis
University of Southern California, Los Angeles, USA
, - Maja Matarić
University of Southern California, Los Angeles, USA
ACM Transactions on Human-Robot Interaction, Volume 12, Issue 2•June 2023, Article No.: 21, pp 1-41 • https://doi.org/10.1145/3550489The physical design of a robot suggests expectations of that robot’s functionality for human users and collaborators. When those expectations align with the robot’s true capabilities, users are more likely to adopt the technologies for their intended use. ...
- 12Citation
- 2,787
- Downloads
MetricsTotal Citations12Total Downloads2,787Last 12 Months1,637Last 6 weeks169
- Nathaniel Dennler
- research-articleOpen AccessPublished By ACMPublished By ACM
Evaluating and Personalizing User-Perceived Quality of Text-to-Speech Voices for Delivering Mindfulness Meditation with Different Physical Embodiments
- Zhonghao Shi
University of Southern California, Los Angeles, CA, USA
, - Han Chen
University of Southern California, Los Angeles, CA, USA
, - Anna-Maria Velentza
University of Southern California, Los Angeles, CA, USA
, - Siqi Liu
University of Southern California, Los Angeles, CA, USA
, - Nathaniel Dennler
University of Southern California, Los Angeles, CA, USA
, - Allison O'Connell
University of Southern California, Los Angeles, CA, USA
, - Maja Mataric
University of Southern California, Los Angeles, CA, USA
HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction•March 2023, pp 516-524• https://doi.org/10.1145/3568162.3576987Mindfulness-based therapies have been shown to be effective in improving mental health, and technology-based methods have the potential to expand the accessibility of these therapies. To enable real-time personalized content generation for mindfulness ...
- 4Citation
- 778
- Downloads
MetricsTotal Citations4Total Downloads778Last 12 Months391Last 6 weeks39- 2
- Zhonghao Shi
- research-article
Design and Evaluation of a Hair Combing System Using a General-Purpose Robotic Arm
- Nathaniel Dennler
University of Southern California,Computer Science Department,Los Angeles,CA
, - Eura Shin
Harvard University,Computer Science Department,Cambridge,MA
, - Maja Matarić
University of Southern California,Computer Science Department,Los Angeles,CA
, - Stefanos Nikolaidis
University of Southern California,Computer Science Department,Los Angeles,CA
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)•September 2021, pp 3739-3746• https://doi.org/10.1109/IROS51168.2021.9636768This work introduces an approach for automatic hair combing by a lightweight robot. For people living with limited mobility, dexterity, or chronic fatigue, combing hair is often a difficult task that negatively impacts personal routines. We propose a ...
- 3Citation
MetricsTotal Citations3
- Nathaniel Dennler
- research-article
Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy
- Nathaniel Dennler
University of Southern California,Computer Science Department,Los Angeles,CA
, - Catherine Yunis
University of Southern California,Biomedical Engineering Department,Los Angeles,CA
, - Jonathan Realmuto
University of California, Irvine,Electrical Engineering and Computer Science Department,Irvine,CA
, - Terence Sanger
University of California, Irvine,Electrical Engineering and Computer Science Department,Irvine,CA
, - Stefanos Nikolaidis
University of Southern California,Computer Science Department,Los Angeles,CA
, - Maja Matarić
University of Southern California,Computer Science Department,Los Angeles,CA
2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)•August 2021, pp 873-879• https://doi.org/10.1109/RO-MAN50785.2021.9515466Children and adults with cerebral palsy (CP) can have involuntary upper limb movements as a consequence of the symptoms that characterize their motor disability, leading to difficulties in communicating with caretakers and peers. We describe how a ...
- 2Citation
MetricsTotal Citations2
- Nathaniel Dennler
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.
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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.
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- 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
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- 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
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- 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