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引入均衡探索范式的創(chuàng)意眾包進(jìn)化計(jì)算方法

發(fā)布時(shí)間:2018-05-21 20:05

  本文選題:創(chuàng)意眾包 + 進(jìn)化計(jì)算; 參考:《機(jī)械工程學(xué)報(bào)》2017年15期


【摘要】:創(chuàng)意眾包通過(guò)招募大眾完成產(chǎn)品概念、平面廣告等創(chuàng)意設(shè)計(jì)工作,是獲取創(chuàng)意方案的重要手段。但創(chuàng)意眾包中參與者通常為非專業(yè)設(shè)計(jì)人員,參與者資源整合不易。為此,提出一種引入均衡探索范式的創(chuàng)意眾包進(jìn)化計(jì)算方法,結(jié)合設(shè)計(jì)專家的專業(yè)能力與計(jì)算機(jī)的計(jì)算能力整合眾包參與者資源。該方法依據(jù)設(shè)計(jì)認(rèn)知領(lǐng)域中對(duì)專家行為的研究成果改進(jìn)創(chuàng)意眾包流程,使眾包群體行為更接近專家的設(shè)計(jì)過(guò)程,提升產(chǎn)出的創(chuàng)意方案質(zhì)量。具體的,利用專家行為的均衡探索范式,包括"持續(xù)信息引入"、"結(jié)構(gòu)化探索"、"廣度深度均衡探索"、"新老方案均衡探索"等行為準(zhǔn)則,計(jì)算創(chuàng)意方案的進(jìn)化適應(yīng)度,改進(jìn)進(jìn)化計(jì)算中的基因編碼、交叉遺傳等操作,引導(dǎo)眾包的方案進(jìn)化。為驗(yàn)證此創(chuàng)意眾包方法,實(shí)施了一個(gè)創(chuàng)意眾包實(shí)例,招募252名參與者就坐姿矯正產(chǎn)品利用提出的方法產(chǎn)出三代創(chuàng)意方案。實(shí)例驗(yàn)證該方法能夠擴(kuò)展眾包探索的設(shè)計(jì)空間,提升眾包的創(chuàng)意方案質(zhì)量。
[Abstract]:Creative crowdsourcing is an important means to obtain creative solutions by recruiting the public to complete the creative design work such as product concept, print advertising and so on. However, participants in creative crowdsourcing are usually non-professional designers, participants in the integration of resources is not easy. In this paper, an evolutionary computing method of creative crowdsourcing based on equilibrium exploration paradigm is proposed, which combines the professional ability of design experts with the computing power of computer to integrate crowdsourcing participant resources. According to the research results of expert behavior in the field of design cognition, this method improves the process of creative crowdsourcing, makes crowdsourcing group behavior closer to the design process of experts, and improves the quality of creative schemes. In particular, the evolutionary adaptation of creative schemes is calculated by using the norms of equilibrium exploration of expert behavior, including "continuous information introduction", "structured exploration", "breadth and depth equilibrium exploration", "balanced exploration of new and old programs", and so on. Improve genetic coding, cross-inheritance and other operations in evolutionary computing to guide the evolution of crowdsourcing schemes. In order to verify this creative crowdsourcing method, an example of creative crowdsourcing was implemented. 252 participants were recruited to produce three generation creative schemes based on the proposed method. Examples show that this method can expand the design space of crowdsourcing and improve the quality of crowdsourcing.
【作者單位】: 浙江大學(xué)計(jì)算機(jī)輔助設(shè)計(jì)與圖形學(xué)國(guó)家重點(diǎn)實(shí)驗(yàn)室;浙江大學(xué)現(xiàn)代工業(yè)設(shè)計(jì)研究所;同濟(jì)大學(xué)設(shè)計(jì)創(chuàng)意學(xué)院;
【基金】:國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973計(jì)劃,2015CB352503) 國(guó)家自然科學(xué)基金(61672451,51675382)資助項(xiàng)目
【分類號(hào)】:TB47


本文編號(hào):1920587

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