-------- Weitergeleitete Nachricht -------- Betreff: [InternetTC] CFP: ACM TIST Special Issue on "Crowd in Intelligent Systems" Datum: Wed, 12 Nov 2014 14:34:48 +0800 Von: Sheng-Wei (Kuan-Ta) Chen swc@IIS.SINICA.EDU.TW An: itc@COMSOC.ORG
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------====== Call for Papers ======-----
ACM Transactions on Intelligent Systems and Technology Special Issue on Crowd in Intelligent Systems
= AIMS AND SCOPE =
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.
= TOPIC DIMENSIONS =
- General: Theoretical, experimental, and/or methodological developments advancing state-of-the-art knowledge of crowdsourcing for intelligent systems
- 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 contributions
- 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 experts
- 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
= SCHEDULE =
Submission due:16 January 2015 First review completed:17 April 2015 Final manuscript due:19 June 2015 Publication: September 2015
= HOW TO SUBMIT =
Please see the instructions for authors on the ACM TIST website (tist.acm.org http://tist.acm.org) and the special issue CfP website http://www.iis.sinica.edu.tw/~swc/tist_crowd/
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.
= GUEST EDITORS =
Irwin King, The Chinese University of Hong Kong, Hong Kong Kuan-Ta Chen, Academia Sinica, Taiwan Omar Alonso, Microsoft Research, United States Martha Larson, Delft University of Technology, Netherlands
= CONTACT US =
For questions or more information, please contact the guest editors Irwin King (king@cse.cuhk.edu.hk mailto:king@cse.cuhk.edu.hk), Kuan-Ta Chen (swc@iis.sinica.edu.tw mailto:swc@iis.sinica.edu.tw), Omar Alonso (oralonso@gmail.com mailto:oralonso@gmail.com), and Martha Larson (m.a.larson@tudelft.nl mailto:m.a.larson@tudelft.nl).
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