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益普索:2025人性化AI:视觉AI与AI智能体如何变革产品测试研究报告(中译版)(11页).pdf

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1、IPSOS VIEWS SEEING THE UNSEENHumanizing AI,part three How Vision AI and AI agents are transforming product testingDr.Nikolai Reynolds Colin Ho,Ph.DJinHo ChoAt Ipsos,we champion the unique blend of Human Intelligence(HI)and Artificial Intelligence(AI)to propel innovation and deliver impactful,human-c

2、entric insights for our clients.Our Human Intelligence stems from our expertise inprompt engineering,data science,and our unique,high quality data sets which embeds creativity,curiosity,ethics,and rigor into our AI solutions,powered by our Ipsos Facto Gen AI platform.Our clients benefit from insight

3、sthat aresafer,faster andgroundedin the human context.#IpsosHiAi By reinventing traditional in-home usage tests(IHUTs)withvideo,observational techniques,Vision AI and AI agents,we can surface hidden human truths and identify the product improvements that will shape tomorrowswinners.The rise of gener

4、ative AI has triggered tectonic shifts inproduct development.Today,manufacturers are shrinking their product development cycles from years to months,chasing a first-mover advantage in markets that change by the week.Speed in product development matters.Meanwhile,sustainable growth remains rooted in

5、speed to superiority.Without a clear understanding of the total product experience,products can fall short of consumer needs and expectations,diminishing repeat purchases and cross-brand purchases.Seeing the Unseen,which marks the third edition in our Humanizing AI series,revealshow business,marketi

6、ng,insight,and product development leaders can leverage HI+AI to see moments in product experiences,not memories atspeed,scale,and unparalleled levels ofdepth.By reinventing traditional in-home usage tests(IHUTs)with video,observational techniques,Vision AI and AI agents,we can surface hidden human

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根据《 Seeing the Unseen: How Vision AI and AI Agents are Transforming Product Testing》一文,以下是全文关键点的概括: 1. **产品测试转型**:文章探讨了如何通过结合人类智能(HI)和人工智能(AI)来革新传统的家庭使用测试(IHUT),以捕捉消费者真实的产品使用体验。 2. **传统IHUT局限性**:传统的IHUT依赖于消费者回忆的调查,存在记忆偏差和遗漏细节的问题。 3. **技术进步**:2023-2024年,扩散AI模型、大型语言模型(LLMs)和AI代理的成熟,为改进IHUT提供了机会。 4. **视频分析**:使用视频记录消费者使用产品的过程,结合视觉AI分析,可以揭示调查中常见的遗漏,如犹豫、小惊喜、无意识的解决方案和环境因素。 5. **九个观察维度**:通过James Spradley的九个观察维度框架,Vision AI可以更深入地分析视频内容。 6. **AI代理协作**:AI代理可以模拟专家视角,提供多样化的分析,减少偏见,并揭示人类分析师可能错过的微妙模式。 7. **案例研究**:通过分析消费者使用冷冻披萨的视频,AI代理识别了包装设计改进的建议,如改进的易撕包装或稳定披萨成分的格式。 8. **规模化的洞察**:使用AI处理大量视频,可以生成动态、即时和以人为中心的洞察,指导产品改进和营销策略。 核心数据:文章提到,高达70%的新产品失败是由于产品与其承诺和实际表现之间的不匹配。
揭秘产品测试新革命" "视频AI,如何重塑产品测试?" "AI助手,助力产品测试升级!"
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