Matthias Josef Scheutz
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- research-articleOpen Access
Published By ACM
Published By ACM
A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams
Matthias Scheutz
Human-Robot Interaction Laboratory, Tufts University, United States
,Bradley Oosterveld
Thinking Robots Inc., United States
,John Peterson
Thinking Robots Inc., United States
,Eric Wyss
Thinking Robots Inc., United States
,Evan Krause
Human-Robot Interaction Laboratory, Tufts University, United States
TAHRI '24: Proceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction•March 2024, pp 74-82• https://doi.org/10.1145/3648536.3648545Effective robotic teammates should be able to interact with humans in natural language about all task aspects, keep track of task and team states to coordinate their actions, and handle unexpected events autonomously. In this paper, we introduce a multi-...
- 0Citation
- 66
- Downloads
MetricsTotal Citations0Total Downloads66Last 12 Months66Last 6 weeks37
- research-article
Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations
Panagiotis Lymperopoulos
Tufts University, Medford, MA, USA
,Matthias Scheutz
Tufts University, Medford, MA, USA
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems•May 2024, pp 1310-1318Learning behavior models of other agents from observations is challenging because agents typically do not act based on observable states alone, but usually take their internal, for external agents unobservable, states such as desires, motivations, ...
- 0Citation
- 13
- Downloads
MetricsTotal Citations0Total Downloads13Last 12 Months13Last 6 weeks4
- research-article
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds
Shivam Goel
Tufts University, Medford, MA, USA
,Yichen Wei
Brown University, Providence, RI, USA
,Panagiotis Lymperopoulos
Tufts University, Medford, MA, USA
,Klára Churá
Tufts University, Medford, MA, USA
,Matthias Scheutz
Tufts University, Medford, MA, USA
,Jivko Sinapov
Tufts University, Medford, MA, USA
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems•May 2024, pp 688-696As AI agents leave the lab and venture into the real world as autonomous vehicles, delivery robots, and cooking robots, it is increasingly necessary to design and comprehensively evaluate algorithms that tackle the "open-world''. To this end, we ...
- 0Citation
- 7
- Downloads
MetricsTotal Citations0Total Downloads7Last 12 Months7
- research-article
Robots in healthcare as envisioned by care professionals
Fran Soljacic
https://ror.org/05wvpxv85Department of Community Health, Tufts University, Medford, MA, USA
,Theresa Law
https://ror.org/05wvpxv85Department of Computer Science, Tufts University, Medford, MA, USA
,Meia Chita-Tegmark
https://ror.org/05wvpxv85Department of Computer Science, Tufts University, Medford, MA, USA
,Matthias Scheutz
https://ror.org/05wvpxv85Department of Computer Science, Tufts University, Medford, MA, USA
Intelligent Service Robotics, Volume 17, Issue 3•May 2024, pp 685-701 • https://doi.org/10.1007/s11370-024-00523-8AbstractAs AI-enabled robots enter the realm of healthcare and caregiving, it is important to consider how they will address the dimensions of care and how they will interact not just with the direct receivers of assistance, but also with those who ...
- 0Citation
MetricsTotal Citations0
- research-articleOpen Access
Understanding the spirit of a norm: Challenges for norm‐learning agents
Thomas Arnold
Human‐Robot Interaction Laboratory Tufts University Medford Massachusetts USA
,Matthias Scheutz
Human‐Robot Interaction Laboratory Tufts University Medford Massachusetts USA
AbstractSocial and moral norms are a fabric for holding human societies together and helping them to function. As such they will also become a means of evaluating the performance of future human–machine systems. While machine ethics has offered various ...
- 0Citation
MetricsTotal Citations0
- research-article
Generalizing probabilistic material implication and Bayesian conditionals
Michael Jahn
Computer Science, Tufts University, 177 College Ave, Medford, 02155, MA, USA
,Matthias Scheutz
Computer Science, Tufts University, 177 College Ave, Medford, 02155, MA, USA
International Journal of Approximate Reasoning, Volume 162, Issue C•Nov 2023 • https://doi.org/10.1016/j.ijar.2023.109021AbstractConditional statements in natural language of the form “if A then B” have multiple interpretations that require different logical treatment. In this paper, we focus on probabilistic “if A then B” rules that are given either a Bayesian ...
- 0Citation
MetricsTotal Citations0
- research-articleOpen Access
Published By ACM
Published By ACM
Encoding Semantic Attributes - Towards Explainable AI in Industry
Sarah Schneider
Department of Computer Science/ School of Engineering/ Human-Robot Interaction Lab, Tufts University, USA and Center for Vision, Automation & Control / High-Performance Vision Systems, Austrian Institute of Technology, Austria
,Doris Antensteiner
Center for Vision, Automation & Control / High-Performance Vision Systems, Austrian Institute of Technology, Austria
,Daniel Soukup
Center for Vision, Automation & Control / High-Performance Vision Systems, Austrian Institute of Technology, Austria
,Matthias Scheutz
Department of Computer Science/ School of Engineering/ Human-Robot Interaction Lab, Tufts University, United States
PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments•July 2023, pp 518-527• https://doi.org/10.1145/3594806.3596531The transformation of industrial environments is progressing at a fast pace as more and more autonomous systems are installed and operated. Save and explainable AI algorithms are thus essential, especially for collaborative interactive systems that ...
- 0Citation
- 169
- Downloads
MetricsTotal Citations0Total Downloads169Last 12 Months169Last 6 weeks13
- research-article
Investigating a generalization of probabilistic material implication and Bayesian conditionals
Michael Jahn
Human-Robot Interaction Laboratory Department of Computer Science, Tufts University, Medford, MA
,Matthias Scheutz
Human-Robot Interaction Laboratory Department of Computer Science, Tufts University, Medford, MA
UAI '23: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence•July 2023, Article No.: 88, pp 932-940Probabilistic "if A then B" rules are typically formalized as Bayesian conditionals P(B | A), as many (e.g., Pearl) have argued that Bayesian conditionals are the correct way to think about such rules. However, there are challenges with standard ...
- 0Citation
MetricsTotal Citations0
- poster
The Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented Autonomous Agents
Michael A. Goodrich
Brigham Young University, Provo, UT, USA
,Jennifer Leaf
Oregon State University, Corvallis, OR, USA
,Julie A. Adams
Oregon State University, Corvallis, OR, USA
,Matthias Scheutz
Tufts University, Sommerville, MA, USA
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems•May 2023, pp 2792-2794Groups of autonomous robots should be resilient. They should have the ability to cope with unknown events, long-lasting alterations to the environment, degradation of capacities, robot losses, and changes to communication networks. This paper presents a ...
- 0Citation
- 27
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MetricsTotal Citations0Total Downloads27Last 12 Months17
- posterPublic Access
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Tung Thai
Tufts University, Medford, PA, USA
,Mudit Verma
Arizona State University, Tempe, AZ, USA
,Utkarsh Soni
Arizona State University, Tempe, AZ, USA
,Sriram Gopalakrishnan
Arizona State University, Tempe, AZ, USA
,Ming Shen
Arizona State University, Tempe, AZ, USA
,Mayank Garg
Arizona State University, Tempe, AZ, USA
,Ayush Kalani
Arizona State University, Tempe, AZ, USA
,Nakul Vaidya
Arizona State University, Tempe, AZ, USA
,Neeraj Varshney
Arizona State University, Tempe, AZ, USA
,Chitta Baral
Arizona State University, Tempe, AZ, USA
,Subbarao Kambhampati
Arizona State University, Tempe, AZ, USA
,Jivko Sinapov
Tufts University, Medford, PA, USA
,Matthias Scheutz
Tufts University, Medford, PA, USA
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems•May 2023, pp 2385-2387Learning to detect, characterize and accommodate novelties is a challenge that agents operating in open-world domains need to address to achieve satisfactory task performance. We sketch general methods for detecting and characterizing different types of ...
- 0Citation
- 11
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MetricsTotal Citations0Total Downloads11Last 12 Months7
- posterPublic Access
Improving Human-Robot Team Performance with Proactivity and Shared Mental Models
Gwendolyn Edgar
Tufts University, Medford, MA, USA
,Matthew McWilliams
Tufts University, Medford, MA, USA
,Matthias Scheutz
Tufts University, Medford, MA, USA
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems•May 2023, pp 2322-2324Recent work in human-robot teaming has demonstrated that when robots build and maintain "shared mental models'', the effectiveness of the whole human-robot team is overall better compared to a baseline with no shared mental models. In this work, we ...
- 0Citation
- 51
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MetricsTotal Citations0Total Downloads51Last 12 Months26Last 6 weeks2
- research-articleOpen Access
Published By ACM
Published By ACM
Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task
Ayca Aygun
Department of Computer Science, Tufts University, United States
,Boyang Lyu
Department of Electrical and Computer Engineering, Tufts University, United States
,Thuan Nguyen
Department of Computer Science, Tufts University, United States
,Zachary Haga
Department of Computer Science, Tufts University, United States
,Shuchin Aeron
Department of Electrical and Computer Engineering, Tufts University, United States
,Matthias Scheutz
Human-Robot Interaction Laboratory, Tufts University, United States
ICMI '22: Proceedings of the 2022 International Conference on Multimodal Interaction•November 2022, pp 337-348• https://doi.org/10.1145/3536221.3556610Assessing the cognitive workload of human interactants in mixed-initiative teams is a critical capability for autonomous interactive systems to enable adaptations that improve team performance. Yet, it is still unclear, due to diverging evidence, which ...
- 4Citation
- 830
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MetricsTotal Citations4Total Downloads830Last 12 Months586Last 6 weeks82
- research-articleOpen Access
Published By ACM
Published By ACM
Examining Attachment to Robots: Benefits, Challenges, and Alternatives
Theresa Law
Tufts University, Medford, MA, United States
,Meia Chita-Tegmark
Tufts University, Medford, MA, United States
,Nicholas Rabb
Tufts University, Medford, MA, United States
,Matthias Scheutz
Tufts University, Medford, MA, United States
ACM Transactions on Human-Robot Interaction, Volume 11, Issue 4•December 2022, Article No.: 36, pp 1-18 • https://doi.org/10.1145/3526105Potential applications of robots in private and public human spaces have prompted the design of so-called “social robots” that can interact with humans in social settings and potentially cause humans to attach to the robots. The focus of this article is ...
- 6Citation
- 4,355
- Downloads
MetricsTotal Citations6Total Downloads4,355Last 12 Months2,865Last 6 weeks252
- research-articleOpen Access
Published By ACM
Published By ACM
Metrics for Robot Proficiency Self-assessment and Communication of Proficiency in Human-robot Teams
Adam Norton
University of Massachusetts Lowell, Lowell, MA, USA
,Henny Admoni
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
,Jacob Crandall
Brigham Young University, Provo, UT, USA
,Tesca Fitzgerald
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
,Alvika Gautam
Brigham Young University, Provo, UT, USA
,Michael Goodrich
Brigham Young University, Provo, UT, USA
,Amy Saretsky
University of Massachusetts Lowell, Lowell, MA, USA
,Matthias Scheutz
Tufts University, Medford, MA, USA
,Reid Simmons
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
,Aaron Steinfeld
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
,Holly Yanco
University of Massachusetts Lowell, Lowell, MA, USA
ACM Transactions on Human-Robot Interaction, Volume 11, Issue 3•September 2022, Article No.: 29, pp 1-38 • https://doi.org/10.1145/3522579As development of robots with the ability to self-assess their proficiency for accomplishing tasks continues to grow, metrics are needed to evaluate the characteristics and performance of these robot systems and their interactions with humans. This ...
- 7Citation
- 2,915
- Downloads
MetricsTotal Citations7Total Downloads2,915Last 12 Months1,262Last 6 weeks111
- Article
Only Those Who Can Obey Can Disobey: The Intentional Implications of Artificial Agent Disobedience
Thomas Arnold
https://ror.org/05wvpxv85Human-Robot Interaction Laboratory, Tufts University, 02155, Medford, MA, USA
,Gordon Briggs
Navy Center for Applied Research in Artificial Intelligence, U.S. Naval Research Laboratory, 20375, Washington, DC, USA
,Matthias Scheutz
https://ror.org/05wvpxv85Human-Robot Interaction Laboratory, Tufts University, 02155, Medford, MA, USA
Autonomous Agents and Multiagent Systems. Best and Visionary Papers•May 2022, pp 130-143• https://doi.org/10.1007/978-3-031-20179-0_9AbstractRecent attention has been brought to robots that “disobey” or so-called “rebel” agents that might reject commands. However, any discussion of autonomous agents that “disobey” risks engaging in a potentially hazardous conflation of simply non-...
- 1Citation
MetricsTotal Citations1
- research-articlePublic Access
A Novel Architectural Method for Producing Dynamic Gaze Behavior in Human-Robot Interactions
Gordon Briggs
U.S. Naval Research Laboratory, Washington, DC, USA
,Meia Chita-Tegmark
Tufts University, Medford, MA, USA
,Evan Krause
Tufts University, Medford, MA, USA
,Will Bridewell
U.S. Naval Research Laboratory, Washington, DC, USA
,Paul Bello
U.S. Naval Research Laboratory, Washington, DC, USA
,Matthias Scheutz
Tufts University, Medford, MA, USA
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction•March 2022, pp 383-392We present a novel integration between a computational framework for modeling attention-driven perception and cognition (ARCADIA) with a cognitive robotic architecture (DIARC), demonstrating how this integration can be used to drive the gaze behavior of ...
- 0Citation
- 197
- Downloads
MetricsTotal Citations0Total Downloads197Last 12 Months51Last 6 weeks2
- review-article
Spoken language interaction with robots: Recommendations for future research
Matthew Marge
DEVCOM Army Research Laboratory, United States of America
,Carol Espy-Wilson
University of Maryland, College Park, United States of America
,Nigel G. Ward
University of Texas at El Paso, United States of America
,Abeer Alwan
University of California at Los Angeles, United States of America
,Yoav Artzi
Cornell University, United States of America
,Mohit Bansal
University of North Carolina at Chapel Hill, United States of America
,Gil Blankenship
University of Maryland, College Park, United States of America
,Joyce Chai
University of Michigan, United States of America
,Hal Daumé
University of Maryland, College Park, United States of America
,Debadeepta Dey
Microsoft, United States of America
,Mary Harper
DEVCOM Army Research Laboratory, United States of America
,Thomas Howard
University of Rochester, United States of America
,Casey Kennington
Boise State University, United States of America
,Ivana Kruijff-Korbayová
DFKI, Germany
,Dinesh Manocha
University of Maryland, College Park, United States of America
,Cynthia Matuszek
University of Maryland, Baltimore County, United States of America
,Ross Mead
Semio, United States of America
,Raymond Mooney
University of Texas at Austin, United States of America
,Roger K. Moore
University of Sheffield, United Kingdom
,Mari Ostendorf
University of Washington, United States of America
,Heather Pon-Barry
Mount Holyoke College, United States of America
,Alexander I. Rudnicky
Carnegie Mellon University, United States of America
,Matthias Scheutz
Tufts University, United States of America
,Robert St. Amant
DEVCOM Army Research Laboratory, United States of America
,Tong Sun
Adobe, United States of America
,Stefanie Tellex
Brown University, United States of America
,David Traum
USC Institute for Creative Technologies, United States of America
,Zhou Yu
University of California at Davis, United States of America
Computer Speech and Language, Volume 71, Issue C•Jan 2022 • https://doi.org/10.1016/j.csl.2021.101255AbstractWith robotics rapidly advancing, more effective human–robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken ...
Highlights- It is now time for human needs to be the main driver of research in this area.
- ...
- 16Citation
MetricsTotal Citations16
- research-articlePublic Access
Published By ACM
Published By ACM
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model
Felix Gervits
U.S. Army Research Laboratory, USA
,Gordon Briggs
U.S. Naval Research Laboratory, USA
,Antonio Roque
Human-Robot Interaction Laboratory, Tufts University, USA
,Genki A. Kadomatsu
Tufts University, USA
,Dean Thurston
Tufts University, USA
,Matthias Scheutz
Human-Robot Interaction Laboratory, Tufts University, USA
,Matthew Marge
Computational and Information Sciences Directorate, U.S. Army Research Laboratory, USA
ICMI '21: Proceedings of the 2021 International Conference on Multimodal Interaction•October 2021, pp 150-158• https://doi.org/10.1145/3462244.3479925Dialogue agents that interact with humans in situated environments need to manage referential ambiguity across multiple modalities and ask for help as needed. However, it is not clear what kinds of questions such agents should ask nor how the answers ...
- 0Citation
- 212
- Downloads
MetricsTotal Citations0Total Downloads212Last 12 Months71Last 6 weeks11
- research-articleOpen Access
Published By ACM
Published By ACM
Explaining in Time: Meeting Interactive Standards of Explanation for Robotic Systems
Thomas Arnold
Tufts University, USA
,Daniel Kasenberg
Tufts University, USA
,Matthias Scheutz
Tufts University, USA
ACM Transactions on Human-Robot Interaction, Volume 10, Issue 3•September 2021, Article No.: 25, pp 1-23 • https://doi.org/10.1145/3457183Explainability has emerged as a critical AI research objective, but the breadth of proposed methods and application domains suggest that criteria for explanation vary greatly. In particular, what counts as a good explanation, and what kinds of ...
- 6Citation
- 958
- Downloads
MetricsTotal Citations6Total Downloads958Last 12 Months230Last 6 weeks23
- research-article
Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection
Jonathan Conroy
Tufts University,MA,USA
,Christopher Thierauf
Tufts University,MA,USA
,Parker Rule
Tufts University,MA,USA
,Evan Krause
Tufts University,MA,USA
,Hugo Akitaya
University of Massachusetts Lowell,MA,USA
,Andrei Gonczi
Tufts University,MA,USA
,Matias Korman
Siemens Electronic Design Automation,OR,USA
,Matthias Scheutz
Tufts University,MA,USA
2021 IEEE International Conference on Robotics and Automation (ICRA)•May 2021, pp 7795-7801• https://doi.org/10.1109/ICRA48506.2021.9561405Regular irradiation of indoor environments with ultraviolet C (UVC) light has become a regular task for many in-door settings as a result of COVID-19, but current robotic systems attempting to automate it suffer from high costs and inefficient ...
- 0Citation
MetricsTotal Citations0
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- 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