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Wed, 10 Sep 2014 11:47:58 +0800
"Sheng-Wei (Kuan-Ta) Chen" <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
"Sheng-Wei (Kuan-Ta) Chen" <[log in to unmask]>
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------======     Call for Papers     ======-----

ACM Transactions on Intelligent Systems and Technology
Special Issue on Crowd in Intelligent Systems


Crowdsourcing, i.e., outsourcing tasks to an indefinite crowd, has now
become a common strategy to resolve problems that are difficult to
computers.  It has proven the intelligence, wisdom, or judgments from the
crowd, when appropriately combined, can be effective in addressing
challenges in various areas, from knowledge organization (such as
Wikipedia), business investment, policy making, government transparency to
scientific development.  In particular, the contributions from the crowd
are stretching out the horizon of intelligent systems by filling the gap
between artificial intelligence and human intelligence with the wisdom of
crowd.  Successful applications can readily been seen in the fields of
computer-human interaction, computer vision, information retrieval, social
computing, biomedical research (such as Foldit), and information and
multimedia systems.

The uses in crowdsourcing have opened up many new forms of intelligent
systems and technologies most of which have barely been explored to date.
 However, challenging research questions still lie in the way to unleash
the potentials of the crowd as a part of intelligent systems.  This special
issue aims to address these challenges in the hope of overcoming the
obstacles blocking the road toward intelligent systems where artificial-
and human-intelligence perfectly harmonize.

The dimensions listed below indicate the range of work that is relevant to
the special issue. Each article is expected to make a significant
scientific contribution along one or more of these dimensions. In case of
doubt about the relevance of your topic, please contact the special issue
guest editors.


- General: Theoretical, experimental, and/or methodological developments
advancing state-of-the-art knowledge of crowdsourcing for intelligent

- Novel applications: Novel uses of contributions from the crowd for
intelligent systems (e.g., complicated tasks rather than simple judgment or
labeling tasks)

- Evaluation: Evaluation of the design and quality of intelligent systems
by the crowd

- Machine learning: Effective learning and information aggregation from
noisy crowd inputs; quality assurance and cheat detection for the crowd

- Human factors: Effective interfaces and workflow for the task workers,
especially for complicated, compound  tasks

- Infrastructure: Programming languages, tools and platforms providing
enhanced support for crowdsourcing; security, privacy, trust, and
reputation management in crowdsourcing for intelligent systems

- Economics and incentives: Enable effective and efficient crowd
contributions that traditionally would only be possible by expensive domain

- Ethics: Theory, design, or mechanisms that address ethical issues in
adopting crowd’s efforts in intelligent systems.  Possible ethical issues
include education, labor exploitation, crowd awareness (of the tasks they
perform), and alienation.

- Inherent biases, limitations and trade-offs of combining crowd
intelligence and artificial intelligence


Submission due: 16 January 2015
First review completed: 17 April 2015
Final manuscript due: 19 June 2015
Publication: September 2015


Please see the instructions for authors on the ACM TIST website ( and the special issue CfP website

The papers will be evaluated for their originality, contribution
significance, soundness, clarity, and overall quality. The interest of
contributions will be assessed in terms of technical and scientific
findings, contribution to the knowledge and understanding of the problem,
methodological advancements, and/or applicative values.


Irwin King, The Chinese University of Hong Kong, Hong Kong
Kuan-Ta Chen, Academia Sinica, Taiwan
Omar Alonso, Microsoft Research, US
Martha Larson, Delft University of Technology, Netherlands


For questions or more information, please contact the guest editors Irwin
King ([log in to unmask]), Kuan-Ta Chen ([log in to unmask]), Omar
Alonso ([log in to unmask]), and Martha Larson ([log in to unmask]).

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