Fabio Tango
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- Roberto Montanari (5)
- Luca Minin (4)
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- HSI'09: Proceedings of the 2nd conference on Human System Interactions (2)
- AI*IA '09:: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence (1)
- Artificial Intelligence in HCI (1)
- Augmented Cognition (1)
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- EHAWC'07: Proceedings of the 2007 international conference on Ergonomics and health aspects of work with computers (1)
- HCI'07: Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques (1)
- ICDHM'11: Proceedings of the Third international conference on Digital human modeling (1)
- ICDM '09: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects (1)
- ICINCO 2014: Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2 (1)
- Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence (1)
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- Article
Application of Reinforcement Learning for Intelligent Support Decision System: A Paradigm Towards Safety and Explainability
- Calogero Maiuri
Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
, - Milad Karimshoushtari
Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
, - Fabio Tango
Centro Ricerche Fiat, strada Torino 50, 10043, Orbassano, Italy
, - Carlo Novara
Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
AbstractArtificial Intelligence (AI) offers the potential to transform our lives in radical ways. In particular, when AI is combined with the rapid development of mobile communication and advanced sensors, this allows autonomous driving (AD) to make a ...
- 0Citation
MetricsTotal Citations0
- Calogero Maiuri
- research-article
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior
- Fanta Camara
Institute for Transport Studies (ITS), University of Leeds, Leeds, U.K.
, - Nicola Bellotto
Lincoln Centre for Autonomous Systems, University of Lincoln, Lincoln, U.K.
, - Serhan Cosar
Institute of Engineering Sciences, De Montfort University, Leicester, U.K.
, - Florian Weber
Bayerische Motoren Werke Aktiengesellschaft (BMW), Munich, Germany
, - Dimitris Nathanael
School of Mechanical Engineering, National Technical University of Athens, Athens, Greece
, - Matthias Althoff
Department of Computer Science, Technische Universität München, Garching bei München, Germany
, - Jingyuan Wu
Robert Bosch GmbH, Abstatt, Germany
, - Johannes Ruenz
Robert Bosch GmbH, Abstatt, Germany
, - André Dietrich
Chair of Ergonomics, Technische Universität München (TUM), Garching bei München, Germany
, - Gustav Markkula
Institute for Transport Studies (ITS), University of Leeds, Leeds, U.K.
, - Anna Schieben
German Aerospace Center (DLR), Brunswick, Germany
, - Fabio Tango
Centro Ricerche Fiat (CRF), Orbassano, Italy
, - Natasha Merat
Institute for Transport Studies (ITS), University of Leeds, Leeds, U.K.
, - Charles Fox
Institute for Transport Studies (ITS), University of Leeds, Leeds, U.K.
IEEE Transactions on Intelligent Transportation Systems, Volume 22, Issue 9•Sept. 2021, pp 5453-5472 • https://doi.org/10.1109/TITS.2020.3006767Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on pedestrianized high-streets. Unlike static ...
- 15Citation
MetricsTotal Citations15
- Fanta Camara
- Article
A Supervisor Αgent-Based on the Markovian Decision Process Framework to Optimize the Behavior of a Highly Automated System
- A. Castellano
RE:Lab, 42122, Reggio Emilia, Italy
, - M. Karimshoushtari
Politecnico di Torino, 10129, Turin, Italy
, - C. Novara
Politecnico di Torino, 10129, Turin, Italy
, - F. Tango
Centro Ricerche Fiat, 10043, Orbassano, Italy
AbstractIn this paper, we explore how MDP can be used as the framework to design and develop an Intelligent Decision Support System/Recommender System, in order to extend human perception and overcome human senses limitations (because covered by the ADS), ...
- 1Citation
MetricsTotal Citations1
- A. Castellano
- research-article
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training
- Marco Botta
Department of Computer Sciences, University of Turin, Turin, Italy
, - Rossella Cancelliere
Department of Computer Sciences, University of Turin, Turin, Italy
, - Leo Ghignone
Department of Computer Sciences, University of Turin, Turin, Italy
, - Fabio Tango
Department E/E Systems, Centro Ricerche Fiat (CRF), Turin, Italy
, - Patrick Gallinari
Laboratory of Computer Sciences, LIP6, Sorbonne Université, Paris, France
, - Clara Luison
Department of Computer Sciences, University of Turin, Turin, Italy
Knowledge and Information Systems, Volume 60, Issue 3•Sep 2019, pp 1549-1564 • https://doi.org/10.1007/s10115-019-01339-0AbstractThere is an accumulating evidence that distracted driving is a leading cause of vehicle crashes and accidents. In order to support safe driving, numerous methods of detecting distraction have been proposed, which are empirically focused on certain ...
- 3Citation
MetricsTotal Citations3
- Marco Botta
- research-articleOpen AccessPublished By ACMPublished By ACM
Workshop on Human Machine Interaction in Autonomous Vehicles: the Perspective of the Two Current HORIZON 2020 Projects ADAS&ME and AUTOMATE
- Fabio Tango
CRF, Strada Torino, Orbassano (Turin), Italy
, - Roberto Montanari
RE:Lab s.r.l., Reggio Emilia, Italy
, - Andreas Luedtke
Offis, Escherweg, Oldenburg, Germany
, - Martin Baumann
Ulm University, Ulm, Germany
, - Frederik Diederichs
Fraunhofer IAO, Stuttgart, Germany
, - Anna Anund
VTI, Linköping, Sweden
, - Andrea Castellano
RE:Lab s.r.l., Reggio Emilia, Italy
, - Stefania Vacca
RE:Lab s.r.l., Reggio Emilia, Italy
AutomotiveUI '17: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct•September 2017, pp 33-38• https://doi.org/10.1145/3131726.3131730The challenges related to the development of automated vehicles are not only of a technical nature, but also affect the quality of on-board interaction. The role of the HMI is crucial to manage unexpected events and ensure a safe and smooth transition ...
- 2Citation
- 604
- Downloads
MetricsTotal Citations2Total Downloads604Last 12 Months89Last 6 weeks12
- Fabio Tango
- research-articleOpen Access
Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems
- Mauro Da Lio
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
, - Francesco Biral
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
, - Enrico Bertolazzi
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
, - Marco Galvani
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
, - Paolo Bosetti
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
, - David Windridge
Centre for Vision Speech & Signal Process., Univ. of Surrey, Guildford, UK
, - Andrea Saroldi
Centre for Vision Speech & Signal Process., Univ. of Surrey, Guildford, UK
, - Fabio Tango
Centre for Vision Speech & Signal Process., Univ. of Surrey, Guildford, UK
IEEE Transactions on Intelligent Transportation Systems, Volume 16, Issue 1•Feb. 2015, pp 244-263 • https://doi.org/10.1109/TITS.2014.2330199This position paper introduces the concept of artificial “co-drivers” as an enabling technology for future intelligent transportation systems. In Sections I and II, the design principles of co-drivers are introduced and framed within general ...
- 6Citation
MetricsTotal Citations6
- Mauro Da Lio
- Article
Cognitive Systems in Intelligent Vehicles
- Elvio Amparore
Università di Torino
, - Marco Beccuti
Università di Torino
, - Simona Collina
Università degli Studi Suor Orsola Benincasa
, - Flavia De Simone
Università degli Studi Suor Orsola Benincasa
, - Susanna Donatelli
Università di Torino
, - Fabio Tango
Centro Ricerche FIAT (CRF)
ICINCO 2014: Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2•September 2014, pp 817-822• https://doi.org/10.5220/0005160808170822This position paper introduces the concept of "artificial co-pilot" (that is, a driver model), with a focus on driver's oriented cognitive cars, in order to illustrate a new approach for future intelligent vehicles, which overcomes the limitations of ...
- 0Citation
MetricsTotal Citations0
- Elvio Amparore
- research-article
Real-Time Detection System of Driver Distraction Using Machine Learning
- Fabio Tango
Department of Electric and Electronic Systems, Fiat Center of Research , Orbassano, Italy
, - Marco Botta
Department of Computer Science, University of Turin, Turin, Italy
IEEE Transactions on Intelligent Transportation Systems, Volume 14, Issue 2•June 2013, pp 894-905 • https://doi.org/10.1109/TITS.2013.2247760There is accumulating evidence that driver distraction is a leading cause of vehicle crashes and incidents. In particular, increased use of so-called in-vehicle information systems (IVIS) and partially autonomous driving assistance systems (PADAS) have ...
- 22Citation
MetricsTotal Citations22
- Fabio Tango
- Article
A reinforcement learning approach to optimize the longitudinal behavior of a partial autonomous driving assistance system
- Olivier Pietquin
SUPELEC - UMI (GeorgiaTech-CNRS), France
, - Fabio Tango
Centro Ricerche Fiat, Italy
ECAI'12: Proceedings of the 20th European Conference on Artificial Intelligence•August 2012, pp 987-992The Partially Autonomous Driving Assistance System (PADAS) is an artificial intelligent co-driver, able to act in critical situations, whose objective is to assist people in driving safely, by providing pertinent and accurate information in real-time ...
- 0Citation
MetricsTotal Citations0
- Olivier Pietquin
- Article
Automation effects on driver's behaviour when integrating a PADAS and a distraction classifier
- Fabio Tango
Centro Ricerche Fiat, Orbassano, Italy and University of Modena & Reggio Emilia, Reggio Emilia, Italy and IMS Supélec, Metz, France
, - Luca Minin
Centro Ricerche Fiat, Orbassano, Italy and University of Modena & Reggio Emilia, Reggio Emilia, Italy and IMS Supélec, Metz, France
, - Raghav Aras
Centro Ricerche Fiat, Orbassano, Italy and University of Modena & Reggio Emilia, Reggio Emilia, Italy and IMS Supélec, Metz, France
, - Olivier Pietquin
Centro Ricerche Fiat, Orbassano, Italy and University of Modena & Reggio Emilia, Reggio Emilia, Italy and IMS Supélec, Metz, France
ICDHM'11: Proceedings of the Third international conference on Digital human modeling•July 2011, pp 503-512The FP7 EU project ISi-PADAS aims at conceiving an intelligent system, called PADAS, to support drivers, which intervenes continuously from warning up to automatic braking in the whole longitudinal control of the vehicle. However, such supporting ...
- 0Citation
MetricsTotal Citations0
- Fabio Tango
- research-article
Development and Application of an Integrated Evaluation Framework for Preventive Safety Applications
- J. Scholliers
VTT Tech. Res. Centre of Finland, Tampere, Finland
, - S. Joshi,
- M. Gemou,
- F. Hendriks,
- M. Ljung Aust,
- J. Luoma,
- M. Netto,
- J. Engström,
- S. L. Olsson,
- R. Kutzner,
- F. Tango,
- A. J. Amditis,
- J. -M. Blosseville,
- E. Bekiaris
IEEE Transactions on Intelligent Transportation Systems, Volume 12, Issue 1•March 2011, pp 211-220 • https://doi.org/10.1109/TITS.2010.2080357Preventive safety functions help drivers avoid or mitigate accidents. No quantitative methods have been available to evaluate the safety impact of these systems. This paper describes a framework for the assessment of preventive and active safety ...
- 0Citation
MetricsTotal Citations0
- J. Scholliers
- research-article
Supporting drivers in keeping safe speed and safe distance: the SASPENCE subproject within the European framework programme 6 integrating project PReVENT
- Enrico Bertolazzi
Department of Mechanical and Structural Engineering, University of Trento, Trento, Italy
, - Francesco Biral
Department of Mechanical and Structural Engineering, University of Trento, Trento, Italy
, - Mauro Da Lio
Department of Mechanical and Structural Engineering, University of Trento, Trento, Italy
, - Andrea Saroldi
Centro Ricerche Fiat, Orbassano, Italy
, - Fabio Tango
Centro Ricerche Fiat, Orbassano, Italy
IEEE Transactions on Intelligent Transportation Systems, Volume 11, Issue 3•September 2010, pp 525-538 • https://doi.org/10.1109/TITS.2009.2035925This paper describes a novel driver-support system that helps to maintain the correct speed and headway (distance) with respect to lane curvature and other vehicles ahead. The system has been developed as part of the Integrating Project PReVENT under ...
- 10Citation
MetricsTotal Citations10
- Enrico Bertolazzi
- Article
Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms
- Fabio Tango
University of Turin, Italy; e-mail: {tango, botta}@di.unito.it
, - Marco Botta
University of Turin, Italy; e-mail: {tango, botta}@di.unito.it
, - Luca Minin
University of Modena and Reggio emilia, Italy; e-mail: {luca.minin, roberto.montanari}@unimore.it
, - Roberto Montanari
University of Modena and Reggio emilia, Italy; e-mail: {luca.minin, roberto.montanari}@unimore.it
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence•August 2010, pp 157-162Driver's distraction has become an important and growing safety concern with the increasing use of the so-called In-Vehicle Information Systems (IVIS), such as cell-phones, navigation systems, etc. A very promising way to overcome this problem is to ...
- 1Citation
MetricsTotal Citations1
- Fabio Tango
- Article
ML Techniques for the Classification of Car-Following Maneuver
- Fabio Tango
Computer Science Department, University of Torino, Torino, Italy 10149
, - Marco Botta
Computer Science Department, University of Torino, Torino, Italy 10149
AI*IA '09:: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence•November 2009, pp 395-404• https://doi.org/10.1007/978-3-642-10291-2_40The goal of this paper is to apply some of the best-known machine learning techniques to a practical problem in the automotive field: the identification and classification of the user's intentions in performing specific driving maneuvers. Data have been ...
- 0Citation
MetricsTotal Citations0
- Fabio Tango
- Article
Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques
- Fabio Tango
Department of Computer Science, University of Torino,
, - Marco Botta
Department of Computer Science, University of Torino,
ICDM '09: Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects•July 2009, pp 176-190• https://doi.org/10.1007/978-3-642-03067-3_15Distraction during driving task is one of the most serious problems affecting traffic safety, being one of the main causes of accidents. Therefore, a method to diagnose and evaluate Distraction appears to be of paramount importance to study and ...
- 3Citation
MetricsTotal Citations3
- Fabio Tango
- Article
Moving attention from the road: a new methodology for the driver distraction evaluation using machine learning approaches
- Fabio Tango
Centro Ricerche Fiat, Orbassano, Italy
, - Caterina Calefato
Department of Computer Science, University of Turin, Torino, Italy
, - Luca Minin
University of Modena and Reggio Emilia
, - Luca Canovi
University of Modena and Reggio Emilia
This work describes an approach to develop a model of driver's distraction induced by an on-board information system basing on vehicle data. Machine learning techniques have been adopted to find the model able to better predict distraction, given a ...
- 0Citation
MetricsTotal Citations0
- Fabio Tango
- Article
Vehicle towards vehicle: current status and beyond on research about adaptive and cooperative vehicles and their smart behaviors
- Caterina Calefato
Department of Computer Science, University of Turin, Torino, Italy
, - Daniela Cardillo
Department of Computer Science, University of Turin, Torino, Italy
, - Fabio Tango
Department of Computer Science, University of Turin, Torino, Italy
This paper aims to examine the literature about the topic of adaptive and cooperative vehicles, as well as their related intelligent behaviours, investigating a specific case study. Shortly we can state that general purposes of collaborative vehicles ...
- 0Citation
MetricsTotal Citations0
- Caterina Calefato
- Article
Design of an adaptive feedback based steering wheel
- Mauro Dell'Amico
Department of Methods and Sciences of Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy
, - Stefano Marzani
Department of Methods and Sciences of Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy
, - Luca Minin
Department of Methods and Sciences of Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy
, - Roberto Montanari
Department of Methods and Sciences of Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy
, - Francesco Tesauri
Department of Methods and Sciences of Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy
, - Michele Mariani
Department of Social, Cognitive and Quantitative Sciences, University of Modena and Reggio Emilia, Reggio Emilia, Italy
, - Cristina Iani
Department of Social, Cognitive and Quantitative Sciences, University of Modena and Reggio Emilia, Reggio Emilia, Italy
, - Fabio Tango
Centro Ricerche Fiat - Department of Advanced Safety, Orbassano, Italy
EHAWC'07: Proceedings of the 2007 international conference on Ergonomics and health aspects of work with computers•July 2007, pp 180-188This paper aims at describing the architectural model of an adaptive force-feedback for a By Wire steering wheel system. This solution uses a steering wheel to replicate the reactive torque law which allows the driver to complete a precise driving ...
- 0Citation
- 7
- Downloads
MetricsTotal Citations0Total Downloads7
- Mauro Dell'Amico
- Article
Advanced drivers assistant systems in automation
- Caterina Caleefato
University of Turin, Department of Computer Sciences, Torino, Italy
, - Roberto Montanari
University of Modena and Reggio Emilia, Department of Science and Methods of Engineering, Reggio Emilia, Italy
, - Fabio Tango
Centro Ricerche Fiat, Department of Advanced Safety, Orbassano, Italy
HCI'07: Proceedings of the 12th international conference on Human-computer interaction: interaction platforms and techniques•July 2007, pp 768-777One of the current research areas in automotive field is aimed at improving driving safety with regards to the development of preventive support systems, also called ADAS (Advanced Driver Assistance Systems). These systems are able to detect a critical ...
- 0Citation
MetricsTotal Citations0
- Caterina Caleefato
- article
Shaping the drivers’ interaction: how the new vehicle systems match the technological requirements and the human needs
- Fabio Tango
Department of Preventive Safety, Centro Ricerche Fiat, Electro-telematics Systems, Strada Torino, 50, 10043, Orbassano, Italy
, - Roberto Montanari
Dipartimento di Scienze e Metodi, Human-Machine Interaction Group, University of Modena and Reggio Emilia, dell’Ingegneria, Via Fogliani, 1, 42100, Reggio Emilia, Italy
Cognition, Technology and Work, Volume 8, Issue 3•September 2006, pp 215-226 • https://doi.org/10.1007/s10111-006-0038-8Although it is not always possible to derive from statistics the causes of an accident, data clearly show that they are mostly due to a lack of driver’s perception, with high direct and indirect social costs for society (Hutchinson in Road accidents ...
- 3Citation
MetricsTotal Citations3
- Fabio Tango
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.
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- 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