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- wipPublished By ACMPublished By ACM
How Knowledge Workers Use and Want to Use LLMs in an Enterprise Context
- Michelle Brachman
IBM Research, United States
, - Amina El-Ashry
IBM, United States
, - Casey Dugan
IBM Research, United States
, - Werner Geyer
IBM Research, United States
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems•May 2024, Article No.: 189, pp 1-8• https://doi.org/10.1145/3613905.3650841Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase productivity and ...
- 0Citation
- 630
- Downloads
MetricsTotal Citations0Total Downloads630Last 12 Months630Last 6 weeks106
- Michelle Brachman
- research-articleOpen AccessPublished By ACMPublished By ACM
Design Principles for Generative AI Applications
- Justin D. Weisz
IBM Research AI, United States
, - Jessica He
IBM Research, United States
, - Michael Muller
Human AI Collaboration, IBM Research, United States
, - Gabriela Hoefer
IBM, United States
, - Rachel Miles
IBM Software, United States
, - Werner Geyer
IBM Research, United States
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems•May 2024, Article No.: 378, pp 1-22• https://doi.org/10.1145/3613904.3642466Generative AI applications present unique design challenges. As generative AI technologies are increasingly being incorporated into mainstream applications, there is an urgent need for guidance on how to design user experiences that foster effective and ...
- 10Citation
- 11,818
- Downloads
MetricsTotal Citations10Total Downloads11,818Last 12 Months11,818Last 6 weeks3,774
- Justin D. Weisz
- panelPublished By ACMPublished By ACM
HAI-GEN 2024: 5th Workshop on Human-AI Co-Creation with Generative Models
- Werner Geyer
IBM Research, United States
, - Mary Lou Maher
Computing and Informatics, University of North Carolina at Charlotte, United States
, - Justin D. Weisz
IBM Research AI, United States
, - Daniel Buschek
Department of Computer Science, University of Bayreuth, Germany
, - Lydia B Chilton
Computer Science Department, Columbia University, United States
IUI '24 Companion: Companion Proceedings of the 29th International Conference on Intelligent User Interfaces•March 2024, pp 122-124• https://doi.org/10.1145/3640544.3645254Generative AI has rapidly entered the public consciousness with the development of applications such as ChatGPT, Midjourney, and GitHub Copilot. Nielsen recently argued that we have entered a new era of human-computer interaction in which users need ...
- 0Citation
- 145
- Downloads
MetricsTotal Citations0Total Downloads145Last 12 Months145Last 6 weeks23
- Werner Geyer
- research-articleOpen AccessPublished By ACMPublished By ACM
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
- Zahra Ashktorab
IBM Research, IBM Research, United States
, - Benjamin Hoover
IBM Research AI, United States
, - Mayank Agarwal
IBM Research, United States
, - Casey Dugan
IBM Research, United States
, - Werner Geyer
IBM Research, United States
, - Hao Bang Yang
Massachusetts Institute of Technology, United States
, - Mikhail Yurochkin
IBM Research, United States
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems•April 2023, Article No.: 565, pp 1-20• https://doi.org/10.1145/3544548.3581227Mitigating algorithmic bias is a critical task in the development and deployment of machine learning models. While several toolkits exist to aid machine learning practitioners in addressing fairness issues, little is known about the strategies ...
- 9Citation
- 1,577
- Downloads
MetricsTotal Citations9Total Downloads1,577Last 12 Months1,143Last 6 weeks173- 1
Supplementary Material3544548.3581227-talk-video.mp4
- Zahra Ashktorab
- panelPublished By ACMPublished By ACM
HAI-GEN 2023: 4th Workshop on Human-AI Co-Creation with Generative Models
- Mary Lou Maher
University of North Carolina at Charlotte, United States
, - Justin D. Weisz
IBM Research AI, United States
, - Lydia B Chilton
Computer Science Department, Columbia University, United States
, - Werner Geyer
IBM Research, United States
, - Hendrik Strobelt
IBM Research AI, United States
IUI '23 Companion: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces•March 2023, pp 190-192• https://doi.org/10.1145/3581754.3584166Recent advances in generative AI have resulted in a rapid and dramatic increase in the fidelity of created artifacts, from realistic-looking images of faces [10] to antimicrobial peptide sequences that treat diseases [5] to faked videos of prominent ...
- 2Citation
- 275
- Downloads
MetricsTotal Citations2Total Downloads275Last 12 Months91Last 6 weeks9
- Mary Lou Maher
- research-articleOpen AccessPublished By ACMPublished By ACM
AutoDOViz: Human-Centered Automation for Decision Optimization
- Daniel Karl I. Weidele
IBM Research, United States
, - Shazia Afzal
IBM Research, India
, - Abel N. Valente
IBM Research, Argentina
, - Cole Makuch
IBM Consulting, United States
, - Owen Cornec
IBM Research, United States
, - Long Vu
IBM Research, United States
, - Dharmashankar Subramanian
IBM Research, United States
, - Werner Geyer
IBM Research, United States
, - Rahul Nair
IBM Research, Ireland
, - Inge Vejsbjerg
IBM Research, Ireland
, - Radu Marinescu
IBM Research, Ireland
, - Paulito Palmes
IBM Research, Ireland
, - Elizabeth M. Daly
IBM Research, Ireland
, - Loraine Franke
University of Massachusetts Boston, United States
, - Daniel Haehn
University of Massachusetts Boston, United States
IUI '23: Proceedings of the 28th International Conference on Intelligent User Interfaces•March 2023, pp 664-680• https://doi.org/10.1145/3581641.3584094We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers [43] where experts need to spend ...
- 3Citation
- 586
- Downloads
MetricsTotal Citations3Total Downloads586Last 12 Months343Last 6 weeks54
- Daniel Karl I. Weidele
- extended-abstractPublished By ACMPublished By ACM
HAI-GEN 2022: 3rd Workshop on Human-AI Co-Creation with Generative Models
- Justin D. Weisz
IBM Research AI, United States
, - Mary Lou Maher
University of North Carolina at Charlotte, United States
, - Hendrik Strobelt
IBM Research AI, United States
, - Lydia B. Chilton
Computer Science Department, Columbia University, United States
, - David Bau
Northeastern University, United States
, - Werner Geyer
IBM Research AI, United States
IUI '22 Companion: Companion Proceedings of the 27th International Conference on Intelligent User Interfaces•March 2022, pp 4-6• https://doi.org/10.1145/3490100.3511166Recent advances in generative AI have resulted in a rapid and dramatic increase to the fidelity of created artifacts, from realistic-looking images of faces [9] to antimicrobial peptide sequences that treat diseases [5] to faked videos of prominent ...
- 7Citation
- 382
- Downloads
MetricsTotal Citations7Total Downloads382Last 12 Months98Last 6 weeks10
- Justin D. Weisz
- Article
The #selfiestation: Design and Use of a Kiosk for Taking Selfies in the Enterprise
- Casey Dugan
IBM Research, Cambridge, USA
, - Sven Laumer
Information Systems and Services, University of Bamberg, Bamberg, Germany
, - Thomas Erickson
IBM Research, Yorktown, USA
, - Wendy Kellogg
IBM Research, Yorktown, USA
, - Werner Geyer
IBM Research, Cambridge, USA
AbstractThis paper describes the design and use of the #selfiestation, a kiosk for taking selfies. Deployed in an office of a large enterprise, its use was studied through analysis of 821 photos taken by 336 users over 24 weeks and interviews with 10 ...
- 1Citation
MetricsTotal Citations1
- Casey Dugan
- research-articlePublished By ACMPublished By ACM
AI-Assisted Human Labeling: Batching for Efficiency without Overreliance
- Zahra Ashktorab
IBM Research, Yorktown Heights, NY, USA
, - Michael Desmond
IBM Research, Yorktown Heights, NY, USA
, - Josh Andres
IBM Research Australia, Melbourne, VIC, Australia
, - Michael Muller
IBM Research, Cambridge, MA, USA
, - Narendra Nath Joshi
IBM Research, Cambridge, MA, USA
, - Michelle Brachman
IBM Research, Cambridge, MA, USA
, - Aabhas Sharma
IBM Research, Cambridge, MA, USA
, - Kristina Brimijoin
IBM Research, Hastings on Hudson, NY, USA
, - Qian Pan
IBM Research, Cambridge, MA, USA
, - Christine T. Wolf
Independent Researcher, San Jose, CA, USA
, - Evelyn Duesterwald
IBM Research, Yorktown Heights, NY, USA
, - Casey Dugan
IBM Research, Cambridge, MA, USA
, - Werner Geyer
IBM Research, Cambridge, MA, USA
, - Darrell Reimer
IBM Research, Yorktown Heights, NY, USA
Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW1•April 2021, Article No.: 89, pp 1-27 • https://doi.org/10.1145/3449163Human labeling of training data is often a time-consuming, expensive part of machine learning. In this paper, we study "batch labeling", an AI-assisted UX paradigm, that aids data labelers by allowing a single labeling action to apply to multiple ...
- 20Citation
- 862
- Downloads
MetricsTotal Citations20Total Downloads862Last 12 Months273Last 6 weeks40
- Zahra Ashktorab
- extended-abstractPublished By ACMPublished By ACM
HAI-GEN 2021: 2nd Workshop on Human-AI Co-Creation with Generative Models
- Werner Geyer
IBM Research, United States
, - Lydia B Chilton
Computer Science Department Columbia University, United States
, - Justin D. Weisz
IBM Research AI, United States
, - Mary Lou Maher
University of North Carolina at Charlotte, United States
IUI '21 Companion: Companion Proceedings of the 26th International Conference on Intelligent User Interfaces•April 2021, pp 15-17• https://doi.org/10.1145/3397482.3450707Recent advances in generative AI have resulted in a rapid and dramatic increase to the fidelity of created artifacts, from realistic-looking images of faces [10] to antimicrobial peptide sequences that treat diseases [5] to faked videos of prominent ...
- 6Citation
- 341
- Downloads
MetricsTotal Citations6Total Downloads341Last 12 Months106Last 6 weeks12
- Werner Geyer
- research-articlePublished By ACMPublished By ACM
The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game
- Zahra Ashktorab
Thomas J. Watson Center IBM Research, United States
, - Casey Dugan
IBM Research, United States
, - James Johnson
AI X-Lab IBM Research, United States
, - Aabhas Sharma
IBM Research, United States
, - Dustin Ramsey Torres
IBM Research, United States
, - Ingrid Lange
Fjord Design, United States
, - Benjamin Hoover
IBM Research AI, United States
, - Heiko Ludwig
IBM Research, United States
, - Bryant Chen
IBM Research, Almaden, United States
, - Nathalie Baracaldo
IBM Research, Almaden, United States
, - Werner Geyer
IBM Research, United States
, - Qian Pan
IBM Research, United States
IUI '21: Proceedings of the 26th International Conference on Intelligent User Interfaces•April 2021, pp 423-433• https://doi.org/10.1145/3397481.3450647AI Security researchers have identified a new way crowdsourced data can be intentionally compromised. Backdoor attacks are a process through which an adversary creates a vulnerability in a machine learning model by ?poisoning?’ the training set by ...
- 1Citation
- 194
- Downloads
MetricsTotal Citations1Total Downloads194Last 12 Months35Last 6 weeks6
- Zahra Ashktorab
- research-articlePublished By ACMPublished By ACM
Mental Models of AI Agents in a Cooperative Game Setting
- Katy Ilonka Gero
Columbia University, New York City, NY, USA
, - Zahra Ashktorab
IBM Research AI, Yorktown Heights, NY, USA
, - Casey Dugan
IBM Research AI, Cambridge, MA, USA
, - Qian Pan
IBM Research AI, Cambridge, MA, USA
, - James Johnson
IBM Research AI, Cambridge, MA, USA
, - Werner Geyer
IBM Research AI, Cambridge, MA, USA
, - Maria Ruiz
IBM Watson, Cambridge, MA, USA
, - Sarah Miller
IBM Watson, Cambridge, MA, USA
, - David R. Millen
IBM Watson, Cambridge, MA, USA
, - Murray Campbell
IBM Research AI, Yorktown, NY, USA
, - Sadhana Kumaravel
IBM Research AI, Yorktown, NY, USA
, - Wei Zhang
IBM Research AI, Yorktown, NY, USA
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems•April 2020, pp 1-12• https://doi.org/10.1145/3313831.3376316As more and more forms of AI become prevalent, it becomes increasingly important to understand how people develop mental models of these systems. In this work we study people's mental models of AI in a cooperative word guessing game. We run think-aloud ...
- 69Citation
- 3,675
- Downloads
MetricsTotal Citations69Total Downloads3,675Last 12 Months716Last 6 weeks74- 2
- Katy Ilonka Gero
- abstractPublished By ACMPublished By ACM
HAI-GEN 2020: Workshop on Human-AI Co-Creation with Generative Models
- Werner Geyer
IBM Research AI, Cambridge, Massachusetts
, - Lydia B. Chilton
Columbia University, New York City, New York
, - Ranjitha Kumar
University of Illinois at Urbana-Champaign, Urbana, Illinois
, - Adam Tauman Kalai
Microsoft Research, Cambridge, Massachusetts
IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces•March 2020, pp 13-14• https://doi.org/10.1145/3379336.3379355Recent advances in generative modeling will enable new kinds of user experiences around content creation, giving us "creative superpowers" and move us toward co-creation. This workshop brings together researchers and practitioners from both fields HCI ...
- 1Citation
- 331
- Downloads
MetricsTotal Citations1Total Downloads331Last 12 Months59Last 6 weeks14
- Werner Geyer
- research-articlePublished By ACMPublished By ACM
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
- Dakuo Wang
IBM Research, Yorktown Heights, NY, USA
, - Justin D. Weisz
IBM Research, Yorktown Heights, NY, USA
, - Michael Muller
IBM Research, Cambridge, MA, USA
, - Parikshit Ram
IBM Research, Atlanta, GA, USA
, - Werner Geyer
IBM Research, Cambridge, MA, USA
, - Casey Dugan
IBM Research, Cambridge, MA, USA
, - Yla Tausczik
University of Maryland, College Park, MD, USA
, - Horst Samulowitz
IBM Research, Yorktown Heights, NY, USA
, - Alexander Gray
IBM Research, Yorktown Heights, NY, USA
Proceedings of the ACM on Human-Computer Interaction, Volume 3, Issue CSCW•November 2019, Article No.: 211, pp 1-24 • https://doi.org/10.1145/3359313The rapid advancement of artificial intelligence (AI) is changing our lives in many ways. One application domain is data science. New techniques in automating the creation of AI, known as AutoAI or AutoML, aim to automate the work practices of data ...
- 239Citation
- 5,314
- Downloads
MetricsTotal Citations239Total Downloads5,314Last 12 Months1,546Last 6 weeks223
- Dakuo Wang
- columnPublished By ACMPublished By ACM
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction
- Nicola Ferro,
- Norbert Fuhr,
- Gregory Grefenstette,
- Joseph A. Konstan,
- Pablo Castells,
- Elizabeth M. Daly,
- Thierry Declerck,
- Michael D. Ekstrand,
- Werner Geyer,
- Julio Gonzalo,
- Tsvi Kuflik,
- Krister Lindn,
- Bernardo Magnini,
- Jian-Yun Nie,
- Raffaele Perego,
- Bracha Shapira,
- Ian Soboroff,
- Nava Tintarev,
- Karin Verspoor,
- Martijn C. Willemsen,
- Justin Zobel
This paper reports the findings of the Dagstuhl Perspectives Workshop 17442 on performance modeling and prediction in the domains of Information Retrieval, Natural language Processing and Recommender Systems. We present a framework for further research, ...
- 8Citation
- 124
- Downloads
MetricsTotal Citations8Total Downloads124Last 12 Months5
- research-articlePublished By ACMPublished By ACM
All Work and No Play?
- Q. Vera Liao
IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
, - Muhammed Mas-ud Hussain
Northwestern University, Evanston, IL, USA
, - Praveen Chandar
Spotify Research, Cambridge, MA, USA
, - Matthew Davis
IBM Research, Cambridge, MA, USA
, - Yasaman Khazaeni
IBM Research, Cambridge, MA, USA
, - Marco Patricio Crasso
IBM Research, Capital Federal, Argentina
, - Dakuo Wang
IBM Research, Yorktown Heights, NY, USA
, - Michael Muller
IBM Research, Cambridge, MA, USA
, - N. Sadat Shami
IBM, Armonk, NY, USA
, - Werner Geyer
IBM Research, Cambridge, MA, USA
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems•April 2018, Paper No.: 3, pp 1-13• https://doi.org/10.1145/3173574.3173577Many conversational agents (CAs) are developed to answer users' questions in a specialized domain. In everyday use of CAs, user experience may extend beyond satisfying information needs to the enjoyment of conversations with CAs, some of which represent ...
- 76Citation
- 3,014
- Downloads
MetricsTotal Citations76Total Downloads3,014Last 12 Months241Last 6 weeks16- 1
Supplementary Materialpn1024.mp4
- Q. Vera Liao
- notePublished By ACMPublished By ACM
Growth in Social Network Connectedness among Different Roles in Organizational Crowdfunding
- Michael Muller
IBM Research, Cambridge, MA, USA
, - Tanushree Mitra
Virginia Tech, Blacksburg, VA, USA
, - Werner Geyer
IBM Research, Cambridge, MA, USA
GROUP '18: Proceedings of the 2018 ACM International Conference on Supporting Group Work•January 2018, pp 22-26• https://doi.org/10.1145/3148330.3148335When employees participate in organizational crowdfunding, they seek partial funding from their existing social networks. Among proposers of projects, teams with larger social networks tend to be more successful in reaching their funding goals. However, ...
- 2Citation
- 228
- Downloads
MetricsTotal Citations2Total Downloads228Last 12 Months6
- Michael Muller
- research-articlePublished By ACMPublished By ACM
The Challenge of Enterprise Social Networking (Non-)Use at Work: A Case Study of How to Positively Influence Employees' Enterprise Social Networking Acceptanc
- Sven Laumer
University of Bamberg, Bamberg, Germany
, - N. Sadat Shami
IBM, Armonk, NY, USA
, - Michael Muller
IBM T.J. Watson Research, Cambridge, MA, USA
, - Werner Geyer
IBM T.J. Watson Research, Cambridge, MA, USA
CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing•February 2017, pp 978-994• https://doi.org/10.1145/2998181.2998309Enterprise social networking (ESN) platforms have been implemented by organizations to support employees' collaboration. However, there has been a reported lack of user participation on these platforms. This study focuses on interventions that can be ...
- 12Citation
- 917
- Downloads
MetricsTotal Citations12Total Downloads917Last 12 Months45
- Sven Laumer
- research-articlePublished By ACMPublished By ACM
What Did I Ask You to Do, by When, and for Whom?: Passion and Compassion in Request Management
- Michael Muller
IBM Research, Cambridge, MA, USA
, - Casey Dugan
IBM Research, Cambridge, MA, USA
, - Michael Brenndoerfer
IBM Research, Cambridge, MA, USA
, - Megan Monroe
IBM Research, Cambridge, MA, USA
, - Werner Geyer
IBM Research, Cambridge, MA, USA
CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing•February 2017, pp 1009-1023• https://doi.org/10.1145/2998181.2998251Request management occurs at an intersection of CSCW and personal information management (i.e., to-do management), with particular emphasis on social relationships and organizational accountability. We explore diverse work practices and representations ...
- 3Citation
- 374
- Downloads
MetricsTotal Citations3Total Downloads374Last 12 Months25Last 6 weeks7
- Michael Muller
- research-articlePublished By ACMPublished By ACM
Influences of Peers, Friends, and Managers on Employee Engagement
- Michael Muller
IBM, Cambridge, MA, USA
, - N. Sadat Shami
IBM, Armonk, NY, USA
, - Shion Guha
Marquette University, Milwaukee, WI, USA
, - Mikhil Masli
IBM, Armonk, NY, USA
, - Werner Geyer
IBM, Cambridge, MA, USA
, - Alan Wild
IBM, Armonk, NY, USA
GROUP '16: Proceedings of the 2016 ACM International Conference on Supporting Group Work•November 2016, pp 131-136• https://doi.org/10.1145/2957276.2957292Employee engagement is a reflection of an employee's experience of work. Previous research has analyzed each employee's experience in terms of individual factors. We provide the first report of the influence on engagement of peers (who report to the ...
- 17Citation
- 378
- Downloads
MetricsTotal Citations17Total Downloads378Last 12 Months37Last 6 weeks2
- Michael Muller
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner