Integrating implicit structure visualization with authoring promotes ideation

Webb, Andrew M.; Kerne, Andruid

doi:10.1145/1998076.1998116

Cited by 7 publications

(11 citation statements)

References 38 publications

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“…Creative ideation means having ideas while new ideas arise during cognitive tasks [28]. Cognitive tasks involve either convergent or divergent thinking.…”

Section: Human Ideation and Machine Ideationmentioning

confidence: 99%

Creative Computing for Bespoke Ideation

Jing

Yang

2015

2015 IEEE 39th Annual Computer Software and Applications Conference

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Today, idea generation is an extremely important activity for both academic researchers and industrial groups. A considerable number of applications and research studies have been made in the past years in order to increase the effectiveness of idea making process. However, there is lack of efforts on making machine generated ideas novel, surprising and valuable. This research uses concept machine ideation for machinery creative ideas generation and aims to discuss the realistic of bespoke machines ideation, which is simplified as bespoke ideation in the main text. After carefully reviewed the current situation of human ideation, it raises challenge issue to be addressed in this paper. Then, it reviews representative human ideation cases and summarises an overview process for general human ideation. Moreover, it simulates the overview process into a machine ideation process. Next, related concepts and techniques are discussed including Creative Computing, new idea, and creativity. Based on the discussions and the simulated machine ideation process, this paper provides a Creative Computing method to achieve bespoke ideation. Then, detailed techniques and rules that needed to be designed and applied are planned and explained for all the phases to fulfil the machine ideation approach as bespoke approach. Furthermore, a prototype of Research Topics Generation System (RTGS) is developed as a bespoke ideation system to illustrate the proposed approach as well as prove the approach's feasibility, in which a set of new research topics on a designated domain is generated to inspire further studies. The main contribution of this paper is the proposed bespoke ideation approach, by which machine ideation is possible to be achieved in reality.

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“…Creative ideation means having ideas while new ideas arise during cognitive tasks [28]. Cognitive tasks involve either convergent or divergent thinking.…”

Section: Human Ideation and Machine Ideationmentioning

confidence: 99%

Creative Computing for Bespoke Ideation

Jing

Yang

2015

2015 IEEE 39th Annual Computer Software and Applications Conference

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“…Use Art to Conceptualize, Science to Validate. With the ubiquitous proliferation of computing, beyond the prognostication of Weiser and Seely Brown [1997], HCI is enmeshed in society. As such, HCI is as much a form of culture as it is a science.…”

Section: Tightly Couple Curation With Visualizationmentioning

confidence: 99%

Using Metrics of Curation to Evaluate Information-Based Ideation

Kerne

Webb

Smith

et al. 2014

ACM Trans. Comput.-Hum. Interact.

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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.

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“…Kerne et al developed a quantitative methodology for the evaluation of information-based ideation tasks, invoking a battery of mutually independent ideation metrics to assess creative products [11]. Webb and Kerne refined methods for calculating the novelty and variety information-based ideation metrics [18]. Carroll et al [5] developed a psychometric tool called the Creativity Support Index.…”

Section: Prior Workmentioning

confidence: 99%

Evaluation methods for creativity support environments

Kerne

Webb

Latulipe

et al. 2013

CHI '13 Extended Abstracts on Human Factors in Computing Systems

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Creativity refers to the human processes that underpin sublime forms of expression and fuel innovation. Creativity support environments (CSEs) address diverse areas, including education, science, business, programming, design, art, performance, and everyday life. An environment may consist of a desktop application, or involve specialized hardware, networked topologies, and mobile devices. CSEs may address temporal-spatial aspects of collaborative work.This workshop will gather a community of researchers developing and evaluating creativity support environments. We will share approaches, engage in dialogue, and develop best practices. The outcome will not be a single prescription, but rather a landscape of routes, an ontology of methodologies with consideration to how they map to creative activities, and an emerging consensus on the range of expectations for rigorous evaluation to shape the field of CSE research. The workshop will organize an open repository of CSE evaluation methods and test data.

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Integrating implicit structure visualization with authoring promotes ideation

Cited by 7 publications

References 38 publications

Creative Computing for Bespoke Ideation

Creative Computing for Bespoke Ideation

Using Metrics of Curation to Evaluate Information-Based Ideation

Evaluation methods for creativity support environments

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