当前位置:首页 > 报告详情

当机器为我们思考时如何在市场中竞争.pdf

上传人: le****ng 编号:616668 2025-03-07 19页 1.16MB

1、How to Compete in the Marketplace When Machines Think for UsPresenter:William Reuschel2024 AFB Leadership Conference 23User research drives innovation4Applause Solution OfferingsOur solutions provide a cohesive view into every aspect of the digital customer experience.We have a solution to match eve

2、ry organizations individual testing needs.Manual FunctionalStructured,Exploratory,IntegratedPaymentsValidation:Active,Passive,SplitUser ExperienceStudies:UX,Competitive,LongitudinalAI/Gen AI/VoiceData Collection,Human Feedback,Large-Scale Diverse AI TrainingAutomationQuick Start,Scripting,Consulting

3、AccessibilityWCAG&EAA Conformance,Inclusive Research,TrainingCustomer JourneyIn-Field,Digital Only,UXR FindingsSecurityManual Penetration Testing5Digital Accessibility Solution ComponentsApplause works with your product teams to implement a program that delivers inclusive and accessible products to

4、your customers and achieves market leadership in digital accessibility.Inclusive design and user experience studiesReal-world insights from people with disabilities Accessibility standards conformance reviewsIn-sprint accessibility testingInclusive design and a11y consultingEducation and training se

5、rvicesProgram flexibility and customization67Where are we on the Technology“S-Curve”Performance/BenefitTime,Effort8AI already can:1.Image and video descriptions2.Text extraction from images3.Captions4.Transcripts5.Language translationsFill in the metadata that humans leave out9AI should:1.Help devel

6、opers write better code2.Fix bugs that already exist in the wildMake user interfaces more accessible10Write more accessible code11Fix accessibility bugs12To be an advocate is to try to work yourself out of a job13Accessibility and Usability are different goalsAccessibilityCan I u

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
在2024年AFB领导力会议上,威廉·雷舍尔介绍了在机器为我们思考的时代中,如何在市场中保持竞争力。用户研究推动了创新,Applause解决方案提供了一个对数字客户体验各个方面的一致性视图,并匹配每个组织的个体测试需求。AI/机器学习被用于数据收集、用户反馈和大规模多样化的人工智能训练,以及自动化测试的各个方面。 雷舍尔强调了AI在提高开发效率、修复现有bug、构建更易用的用户界面以及促进包容性设计方面的潜力。然而,他也警告说,如果不谨慎使用,AI可能会加强现有偏见,导致更多自信的错误。为了成为一个倡导者,需要努力工作以确保技术进步是以人为中心的,同时也要接受研究方法和工具中的进步而不是完美。 最后,雷舍尔提倡保持AI的人类中心化,支持研究以接触代表性不足的人群,并培养下一代专家,他们准备探索超越无障碍的领域。他乐观地认为,AI将缩小技术差距,使我们能够专注于简化使用体验,而不仅仅是使其成为可能。
"AI在数字体验中的作用是什么?" "如何利用AI提高产品的可访问性?" "AI如何影响市场竞争力?"
客服
商务合作
小程序
服务号
折叠