Now showing items 1-12 of 12

    • Crowdsourcing General Computation 

      Zhang, Haoqi; Horvitz, Eric; Miller, Rob C.; Parkes, David C. (Association for Computing Machinery, 2011)
      We present a direction of research on principles and methods that can enable general problem solving via human computation systems. A key challenge in human computation is the effective and efficient coordination of problem ...
    • Enabling Environment Design via Active Indirect Elicitation 

      Zhang, Haoqi; Parkes, David (2008)
      Many situations arise in which an interested party wishes to affect the decisions of an agent; e.g., a teacher that seeks to promote particular study habits, a Web 2.0 site that seeks to encourage users to contribute ...
    • A General Approach to Environment Design with One Agent 

      Zhang, Haoqi; Chen, Yiling; Parkes, David C. (Morgan Kaufmann Publishers Inc., 2009)
      The problem of environment design considers a setting in which an interested party aims to influence an agent's decisions by making limited changes to the agent's environment. Zhang and Parkes [2008] first introduced the ...
    • Human Computation Tasks with Global Constraints 

      Zhang, Haoqi; Law, Edith Lok Man; Miller, Robert C.; Gajos, Krzysztof Z; Parkes, David C.; Horvitz, Eric (Association for Computing Machinery, 2012)
      An important class of tasks that are underexplored in current human computation systems are complex tasks with global constraints. One example of such a task is itinerary planning, where solutions consist of a sequence ...
    • Incentive Design for Adaptive Agents 

      Chen, Yiling; Kung, Jerry; Parkes, David C.; Procacci, Ariel D.; Zhang, Haoqi (International Foundation for Autonomous Agents and Multiagent Systems, 2011)
      We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief about the value for each action—which may ...
    • An Iterative Dual Pathway Structure for Speech-to-Text Transcription 

      Liem, Beatrice; Zhang, Haoqi; Chen, Yiling (Association for the Advancement of Artificial Intelligence, 2011)
      In this paper, we develop a new human computation algorithm for speech-to-text transcription that can potentially achieve the high accuracy of professional transcription using only microtasks deployed via an online task ...
    • PlateMate: Crowdsourcing Nutrition Analysis from Food Photographs 

      Noronha, Jon; Hysen, Eric; Zhang, Haoqi; Gajos, Krzysztof Z. (Association for Computing Machinery, 2011)
      We introduce PlateMate, a system that allows users to take photos of their meals and receive estimates of food intake and composition. Accurate awareness of this information can help people monitor their progress towards ...
    • Policy Teaching Through Reward Function Learning 

      Zhang, Haoqi; Parkes, David C.; Chen, Yiling (Association for Computing Machinery, 2009)
      Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent's decisions by providing limited incentives. In this paper, we consider the specific objective of inducing ...
    • Strong Activity Rules for Iterative Combinatorial Auctions 

      Harsha, Pavithra; Barnhart, Cynthia; Parkes, David C.; Zhang, Haoqi (Elsevier, 2010)
      Activity rules have emerged in recent years as an important aspect of practical auction design. The role of an activity rule in an iterative auction is to suppress strategic behavior by bidders and promote simple, continual, ...
    • Task Routing for Prediction Tasks 

      Zhang, Haoqi; Horvitz, Eric; Chen, Yiling; Parkes, David C. (Association for Computing Machinery, 2011)
      We study principles and methods for task routing that aim to harness people’s abilities to jointly contribute to a task and to route tasks to others who can provide further contributions. In the particular context of ...
    • TurkServer: Enabling Synchronous and Longitudinal Online Experiments 

      Mao, Andrew; Chen, Yiling; Gajos, Krzysztof Z; Parkes, David C.; Procaccia, Ariel; Zhang, Haoqi (AAAI Press, 2012)
      With the proliferation of online labor markets and other social computing platforms, online experiments have become a low-cost and scalable way to empirically test hypotheses and mechanisms in both human computation and ...
    • Value-Based Policy Teaching with Active Indirect Elicitation 

      Zhang, Haoqi; Parkes, David C. (Association for the Advancement of Artificial Intelligence, 2008)
      Many situations arise in which an interested party's utility is dependent on the actions of an agent; e.g., a teacher is interested in a student learning effectively and a firm is interested in a consumer's behavior. We ...