55,484 research outputs found
Analysis domain model for shared virtual environments
The field of shared virtual environments, which also
encompasses online games and social 3D environments, has a
system landscape consisting of multiple solutions that share great functional overlap. However, there is little system interoperability between the different solutions. A shared virtual environment has an associated problem domain that is highly complex raising difficult challenges to the development process, starting with the architectural design of the underlying system. This paper has two main contributions. The first contribution is a broad domain analysis of shared virtual environments, which enables developers to have a better understanding of the whole rather than the part(s). The second contribution is a reference domain model for discussing and describing solutions - the Analysis Domain Model
Introductory programming: a systematic literature review
As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming.
This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research
Can You Explain That? Lucid Explanations Help Human-AI Collaborative Image Retrieval
While there have been many proposals on making AI algorithms explainable, few
have attempted to evaluate the impact of AI-generated explanations on human
performance in conducting human-AI collaborative tasks. To bridge the gap, we
propose a Twenty-Questions style collaborative image retrieval game,
Explanation-assisted Guess Which (ExAG), as a method of evaluating the efficacy
of explanations (visual evidence or textual justification) in the context of
Visual Question Answering (VQA). In our proposed ExAG, a human user needs to
guess a secret image picked by the VQA agent by asking natural language
questions to it. We show that overall, when AI explains its answers, users
succeed more often in guessing the secret image correctly. Notably, a few
correct explanations can readily improve human performance when VQA answers are
mostly incorrect as compared to no-explanation games. Furthermore, we also show
that while explanations rated as "helpful" significantly improve human
performance, "incorrect" and "unhelpful" explanations can degrade performance
as compared to no-explanation games. Our experiments, therefore, demonstrate
that ExAG is an effective means to evaluate the efficacy of AI-generated
explanations on a human-AI collaborative task.Comment: 2019 AAAI Conference on Human Computation and Crowdsourcin
Policy forums: Why do they exist and what are they used for?
Policy forums are issue-based intermediary organizations where diverse types of political and societal actors repeatedly interact. Policy forums are important elements of modern governance systems as they allow actors to learn, negotiate, or build trust. They can vary in composition, size, membership logic, and other distinct features. This article lays the foundation of a theory of policy forums based on three interrelated elements: First, it discusses conditions for the formation of a forum and describes the logic of these organizations as one of an asymmetric multipartite exchange. Second, it enumerates the potential set of goals and motivations of participating actors that are fed into this exchange. Third, it proposes eight different dimensions on which policy forums differ and which affect the exchange mechanisms among actors. We claim that empirical work on policy forums should systematically take these elements into account and propose elements of a research agenda
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