2013 - ACM Fellow
2013 - ACM Fellow For contributions to human computer interaction, with an emphasis on finding and sharing expertise.
Mark S. Ackerman mainly investigates Knowledge management, Computer-supported cooperative work, Organizational memory, World Wide Web and Field. His work on Expertise finding as part of general Knowledge management study is frequently linked to User needs, therefore connecting diverse disciplines of science. Mark S. Ackerman combines subjects such as Collaborative software, Construct, Knowledge sharing and Information seeking with his study of Expertise finding.
The various areas that Mark S. Ackerman examines in his Organizational memory study include Information access and Cognitive psychology. In the subject of general World Wide Web, his work in Crowdsourcing is often linked to X window system, Information technology and Field service, thereby combining diverse domains of study. He has researched Field in several fields, including Voice activity detection, Speech recognition, Speech analytics, Speech processing and Window.
His primary areas of investigation include Knowledge management, Computer-supported cooperative work, World Wide Web, Human–computer interaction and Organizational memory. Mark S. Ackerman works mostly in the field of Knowledge management, limiting it down to concerns involving Data science and, occasionally, Social network. Computer-supported cooperative work is integrated with Expertise finding, Health informatics, Information access, Information seeking and Set in his study.
His research combines Internet privacy and World Wide Web. His research on Human–computer interaction frequently links to adjacent areas such as Multimedia. His Organizational memory research incorporates a variety of disciplines, including Collective memory and Term.
Knowledge management, Computer-supported cooperative work, Internet privacy, Health informatics and Human–computer interaction are his primary areas of study. His Knowledge management study combines topics from a wide range of disciplines, such as Social navigation and Engineering ethics. Mark S. Ackerman has included themes like Resource, Simulation, World Wide Web and Everyday life in his Internet privacy study.
Mark S. Ackerman usually deals with World Wide Web and limits it to topics linked to Ubiquitous computing and Qualitative research, Appropriation, Value and Information seeking. His biological study spans a wide range of topics, including User experience design, Self-management and Affect. His Human–computer interaction study incorporates themes from Pragmatics, Multimedia and Perception.
His primary scientific interests are in Human–computer interaction, Health information technology, Population, Perception and Multimedia. His Human–computer interaction study integrates concerns from other disciplines, such as Qualitative research, Appropriation, Field and Value. His studies deal with areas such as Context, User experience design, User-centered design and Information needs as well as Health information technology.
His Population research incorporates Knowledge management and Health informatics. His Multimedia research incorporates elements of Quality, Pragmatics, Word and Focus. His Internet privacy study frequently links to adjacent areas such as World Wide Web.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Soylent: a word processor with a crowd inside
Michael S. Bernstein;Greg Little;Robert C. Miller;Björn Hartmann.
(2015)
Expertise networks in online communities: structure and algorithms
Jun Zhang;Mark S. Ackerman;Lada Adamic.
(2007)
Knowledge sharing and yahoo answers: everyone knows something
Lada A. Adamic;Jun Zhang;Eytan Bakshy;Mark S. Ackerman.
(2008)
The intellectual challenge of CSCW: the gap between social requirements and technical feasibility
Mark S. Ackerman.
(2000)
The perfect search engine is not enough: a study of orienteering behavior in directed search
Jaime Teevan;Christine Alvarado;Mark S. Ackerman;David R. Karger.
(2004)
Privacy in e-commerce: examining user scenarios and privacy preferences
Mark S. Ackerman;Lorrie Faith Cranor;Joseph Reagle.
(1999)
Augmenting organizational memory: a field study of answer garden
Mark S. Ackerman.
(1998)
Expertise recommender: a flexible recommendation system and architecture
David W. McDonald;Mark S. Ackerman.
(2000)
Beyond Concern: Understanding Net Users' Attitudes About Online Privacy
Lorrie Faith Cranor;Joseph Reagle;Mark S. Ackerman.
(1999)
Answer Garden 2: merging organizational memory with collaborative help
Mark S. Ackerman;David W. McDonald.
(1996)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Michigan–Ann Arbor
Facebook (United States)
University of Washington
University of Siegen
University of Electronic Science and Technology of China
MIT
University of Michigan–Ann Arbor
MIT
Microsoft (United States)
University of California, Riverside
University of Freiburg
University of Michigan–Ann Arbor
University of Virginia
Technical University of Darmstadt
Koç University
Indian Institute of Technology Madras
Medical College of Wisconsin
Åbo Akademi University
The University of Texas Health Science Center at San Antonio
Virginia Tech
Hebrew University of Jerusalem
Georgia Institute of Technology
University Hospital of Lausanne
University of California, Santa Barbara
University of Pittsburgh
Vrije Universiteit Amsterdam