Evaluating creativity support environments is challenging. Some approaches address people's experiences of creativity. The present method measures creativity, across conditions, in the products that people make.This research introduces information-based ideation (IBI), a paradigm for investigating open-ended tasks and activities in which users develop new ideas. IBI tasks span imagining, planning, and reflecting on a weekend, vacation, outfit, makeover, paper, internship, thesis, design, campaign, crisis response, career, or invention. What products do people create through engagement in IBI? Curation of digital media incorporates conceptualization, finding and choosing information objects, annotation, and synthesis. Through engagement in IBI tasks, people create curation products. This article formulates a quantitative methodology for evaluating IBI support tools, building on prior creative cognition research in engineering design to derive a battery of ideation metrics of curation. Elemental ideation metrics evaluate creativity within curated found objects. Holistic ideation metrics evaluate how a curation puts elements together.IBI support environments are characterized by their underlying medium of curation. Curation media include lists, such as listicles, and grids, such as the boards of Pinterest.An in-depth case study investigates information composition, an art-based medium representing a curation as a freeform visual semantic connected whole. We raise two creative cognition challenges for IBI. One challenge is overcoming fixation-for instance, when a person gets stuck in a counterproductive mental set. The other challenge is to bridge information visualization's synthesis gap, by providing support for connecting findings. To address the challenges, we develop mixed-initiative information composition (MI 2 C), integrating human curation of information composition with automated agents of information retrieval and visualization.We hypothesize that MI 2 C generates provocative stimuli that help users overcome fixation to become more creative on IBI tasks. We hypothesize that MI 2 C's integration of curation and visualization bridges the synthesis gap to help users become more creative. To investigate these hypotheses, we apply ideation metrics of curation to interpret results from experiments with 44 and 49 participants.
In this demo paper, we present the XFake system, an explainable fake news detector that assists end-users to identify news credibility. To effectively detect and interpret the fakeness of news items, we jointly consider both attributes (e.g., speaker) and statements. Specifically, MIMIC, ATTN and PERT frameworks are designed, where MIMIC is built for attribute analysis, ATTN is for statement semantic analysis and PERT is for statement linguistic analysis. Beyond the explanations extracted from the designed frameworks, relevant supporting examples as well as visualization are further provided to facilitate the interpretation. Our implemented system is demonstrated on a real-world dataset crawled from PolitiFact 1 , where thousands of verified political news have been collected. CCS CONCEPTS• Human-centered computing → Natural language interfaces; Graphical user interfaces; Web-based interaction.
We extend the Twitter interface to stimulate exploratory browsing of social media and develop a creative cognition method to establish its efficacy. Exploratory browsing is a creative process in which users seek and traverse diverse and novel information as they investigate a conceptual space. The TweetBubble browser extension extends Twitter to enable expansion of social media associations-@usernames and #hashtags-in-context, without overwriting initial content. We build on a prior metadata type system, developing new presentation semantics, which enable an integrated look and feel consistent with Twitter.We show how exploratory browsing constitutes a mini-c creative process. We use prior ideation metrics as a basis for new ideation metrics of exploratory browsing. We conducted a mixed methods crowdsourced study, with data from 54 participants, amidst the 2014 Academy Awards. Quantitative and qualitative findings validate the technique of in-context exploratory browsing interfaces for social media. Their consistency supports the validity of ideation metrics of exploratory browsing as an evaluation methodology for interactive systems designed to promote creative engagement.
We develop new understanding of how people engage in digital curation. We interview twenty users of Pinterest, a social curation platform. We find that through collecting, organizing, and sharing image bookmarks, users engage in processes of everyday ideation. That is, they use digital found objects as creative resources to develop ideas for shaping their lives. Curators assemble information into new contexts, forming and sharing ideas with practical and emotional value. We investigate cognitive and social aspects of creativity that affect the digital curation practices of everyday ideation. We derive implications for the design of curation environments that support information-based ideation.
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