【摘要】：眾包通過招募非特定參與者完成群體工作已有成功運(yùn)用案例,在創(chuàng)意設(shè)計(jì)領(lǐng)域被寄予厚望。創(chuàng)意眾包方法聚合集體智慧、獲得創(chuàng)意方案,可支撐創(chuàng)新的良性發(fā)展,但存在隨機(jī)性與不確定性。目前創(chuàng)意眾包方法中存在兩個(gè)主要問題。首先,既有產(chǎn)品方案與概念產(chǎn)品方案間概念的相互聯(lián)系缺失,使得方案的概念分布缺乏有效參考。其次,創(chuàng)意眾包過程的實(shí)時(shí)狀態(tài)缺乏可計(jì)算的指標(biāo),給自動(dòng)化創(chuàng)意眾包過程增加了阻礙。為解決以上問題,本文提出一種基于創(chuàng)新活力監(jiān)測(cè)的創(chuàng)意眾包方法。該方法基于多輪次的眾包任務(wù)迭代,首先招募眾包參與者搜尋既有產(chǎn)品方案、建立對(duì)應(yīng)的概念模型。進(jìn)而招募眾包參與者進(jìn)行創(chuàng)意設(shè)計(jì)并提交概念產(chǎn)品方案,融合既有產(chǎn)品方案、概念產(chǎn)品方案構(gòu)建概念模型。在迭代過程中,該方法依據(jù)實(shí)時(shí)計(jì)算的創(chuàng)新活力指標(biāo)判定既有產(chǎn)品方案搜尋的結(jié)束條件,同時(shí)對(duì)概念產(chǎn)品設(shè)計(jì)眾包中的創(chuàng)新活力進(jìn)行實(shí)時(shí)檢測(cè)及預(yù)警。本文隨后對(duì)提出方法的兩項(xiàng)關(guān)鍵支撐技術(shù)——基于相似度評(píng)價(jià)的方案概念空間映射算法、基于方案概念原型建模的創(chuàng)新活力算法進(jìn)行研究。通過構(gòu)建原型系統(tǒng)實(shí)現(xiàn)上述眾包方法,本文以坐姿矯正的產(chǎn)品創(chuàng)意設(shè)計(jì)任務(wù)為例,對(duì)提出方法及關(guān)鍵技術(shù)的可行性、有效性進(jìn)行了驗(yàn)證。實(shí)驗(yàn)結(jié)果表明,該方法可實(shí)現(xiàn)既有產(chǎn)品方案與概念產(chǎn)品方案間概念聯(lián)系的構(gòu)建,得到的創(chuàng)新活力指標(biāo)可反映眾包過程中的方案分布狀態(tài)并用于實(shí)現(xiàn)自動(dòng)化創(chuàng)意眾包過程。
[Abstract]:Crowdsourcing has been successful in the field of creative design by recruiting non-specific participants for group work. The creative crowdsourcing method aggregates collective wisdom and acquires creative schemes, which can support the benign development of innovation, but there is randomness and uncertainty. At present, there are two main problems in the creative crowdsourcing method. Firstly, the lack of interrelation between the existing product scheme and the conceptual product scheme makes the conceptual distribution of the scheme lack of effective reference. Secondly, the real-time state of creative crowdsourcing process is short of calculable indicators, which increases obstacles to automated creative crowdsourcing process. In order to solve the above problems, this paper proposes a creative crowdsourcing method based on innovation vitality monitoring. This method is based on multiple rounds of crowdsourcing task iterations. Firstly, crowdsourcing participants are recruited to search for existing product schemes, and corresponding conceptual models are established. Then we recruit crowdsourcing participants for creative design and submit conceptual product solutions to integrate existing product schemes and conceptual product schemes to build conceptual models. In the iterative process, the method determines the end conditions of the existing product scheme search based on the real-time calculation of the innovation vitality index, and carries out real-time detection and early warning of the innovation activity in the conceptual product design crowdsourcing. In this paper, the two key supporting techniques of the proposed method, namely, the concept space mapping algorithm based on similarity evaluation and the innovative vitality algorithm based on the prototype modeling of the scheme concept, are studied in this paper. By constructing the prototype system to realize the crowdsourcing method, this paper takes the product creative design task of sitting posture correction as an example, and verifies the feasibility and validity of the proposed method and key technology. The experimental results show that this method can construct the conceptual relationship between the existing product scheme and the conceptual product scheme, and the innovative vitality index can reflect the scheme distribution state in the crowdsourcing process and be used to realize the automated creative crowdsourcing process.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TB472

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 馮劍紅;李國(guó)良;馮建華;;眾包技術(shù)研究綜述[J];計(jì)算機(jī)學(xué)報(bào);2015年09期

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本文編號(hào)：2239481