13,899 research outputs found
Evaluating Singleplayer and Multiplayer in Human Computation Games
Human computation games (HCGs) can provide novel solutions to intractable
computational problems, help enable scientific breakthroughs, and provide
datasets for artificial intelligence. However, our knowledge about how to
design and deploy HCGs that appeal to players and solve problems effectively is
incomplete. We present an investigatory HCG based on Super Mario Bros. We used
this game in a human subjects study to investigate how different social
conditions---singleplayer and multiplayer---and scoring
mechanics---collaborative and competitive---affect players' subjective
experiences, accuracy at the task, and the completion rate. In doing so, we
demonstrate a novel design approach for HCGs, and discuss the benefits and
tradeoffs of these mechanics in HCG design.Comment: 10 pages, 4 figures, 2 table
A Framework for Exploring and Evaluating Mechanics in Human Computation Games
Human computation games (HCGs) are a crowdsourcing approach to solving
computationally-intractable tasks using games. In this paper, we describe the
need for generalizable HCG design knowledge that accommodates the needs of both
players and tasks. We propose a formal representation of the mechanics in HCGs,
providing a structural breakdown to visualize, compare, and explore the space
of HCG mechanics. We present a methodology based on small-scale design
experiments using fixed tasks while varying game elements to observe effects on
both the player experience and the human computation task completion. Finally
we discuss applications of our framework using comparisons of prior HCGs and
recent design experiments. Ultimately, we wish to enable easier exploration and
development of HCGs, helping these games provide meaningful player experiences
while solving difficult problems.Comment: 11 pages, 5 figure
XTribe: a web-based social computation platform
In the last few years the Web has progressively acquired the status of an
infrastructure for social computation that allows researchers to coordinate the
cognitive abilities of human agents in on-line communities so to steer the
collective user activity towards predefined goals. This general trend is also
triggering the adoption of web-games as a very interesting laboratory to run
experiments in the social sciences and whenever the contribution of human
beings is crucially required for research purposes. Nowadays, while the number
of on-line users has been steadily growing, there is still a need of
systematization in the approach to the web as a laboratory. In this paper we
present Experimental Tribe (XTribe in short), a novel general purpose web-based
platform for web-gaming and social computation. Ready to use and already
operational, XTribe aims at drastically reducing the effort required to develop
and run web experiments. XTribe has been designed to speed up the
implementation of those general aspects of web experiments that are independent
of the specific experiment content. For example, XTribe takes care of user
management by handling their registration and profiles and in case of
multi-player games, it provides the necessary user grouping functionalities.
XTribe also provides communication facilities to easily achieve both
bidirectional and asynchronous communication. From a practical point of view,
researchers are left with the only task of designing and implementing the game
interface and logic of their experiment, on which they maintain full control.
Moreover, XTribe acts as a repository of different scientific experiments, thus
realizing a sort of showcase that stimulates users' curiosity, enhances their
participation, and helps researchers in recruiting volunteers.Comment: 11 pages, 2 figures, 1 table, 2013 Third International Conference on
Cloud and Green Computing (CGC), Sept. 30 2013-Oct. 2 2013, Karlsruhe,
German
Incentive Mechanisms for Participatory Sensing: Survey and Research Challenges
Participatory sensing is a powerful paradigm which takes advantage of
smartphones to collect and analyze data beyond the scale of what was previously
possible. Given that participatory sensing systems rely completely on the
users' willingness to submit up-to-date and accurate information, it is
paramount to effectively incentivize users' active and reliable participation.
In this paper, we survey existing literature on incentive mechanisms for
participatory sensing systems. In particular, we present a taxonomy of existing
incentive mechanisms for participatory sensing systems, which are subsequently
discussed in depth by comparing and contrasting different approaches. Finally,
we discuss an agenda of open research challenges in incentivizing users in
participatory sensing.Comment: Updated version, 4/25/201
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