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SJSU Case Study: Industrial Design + Mechanical engineering Collaboration

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说明

The world is changing and becoming more collaborative, and the lines between fields are constantly blurring. Design, business, and engineering in industry do not happen in a vacuum independent of each other. So why would we approach education in these fields as if they do? How do you introduce innovative software features and technologies into a product development process without stifling creativity and innovation? How can we maximize the power of AI and feature-rich software such as Fusion 360 software to help solve problems in design? We explore these questions and more in the San Jose State University classrooms, as we experiment in the SJSU/Autodesk Kreative Kitchen. The Kreative Kitchen is an innovative, multidisciplinary, educational pilot model dedicated to exploring how we can maximize the benefits of diverse fields in a collaborative academic environment that mimics industry.

主要学习内容

  • Define the role and the value of cross-discipline collaboration between design, business, and engineering perspectives.
  • Identify the three different collaborations that took place at SJSU between engineering and design over the past year
  • Explore the use of Fusion 360 in sustainability design, advanced material projects, and the Kreative Kitchen
  • Introduce an experimental collaborative classroom space called, the Kreative Kitchen

讲师

  • Kohar Scott
    Kohar Scott started a full-time role as Assistant Professor at SJSU in the Fall of 2020 after teaching as an Adjunct Professor in the Industrial Design Program since 2015. Having grown up in Cupertino, she graduated Magna Cum Laude from De Anza College, left to attend UCLA where she was inducted into the Phi Theta Kappa Honor Society, and graduated from Art Center College of Design in Southern California in 2000 with a BS in Product Design. In 2019 she completed her Masters in Design at SF State where she was inducted into Epsilon Pi Tau and awarded the Warner Award for her research project in design education. Kohar’s industry experience ranges from boutique design firms, large consultancies, mid and large size corporations, and eventually even consulting on her own. Her background includes a focus on Color, Material, and Finish (CMF) and Industrial Design. She holds multiple patents, and her client list includes industry leaders in consumer electronics, pro-audio, toy manufacturing, personal care, and soft goods. Her current research revolves around the use of color, materials, and technologies such as AI, VR, and AR to solve problems in the design. Her teaching philosophy focuses on bridging the gap between industry and education and breaking the silos of education through cross-discipline collaboration. After an adventurous sojourn around the world in career, parenting, and in travel, she is enjoying giving back to her community through teaching the next generation of designers and raising her two daughters here in the South Bay.
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Transcript

KOHAR SCOTT: Good afternoon. And thank you for joining me for my presentation of our industrial design and mechanical engineering collaboration case studies. My name is Kohar Scott. And I'm currently an assistant professor at SJSU after teaching as adjunct since 2015. My background is in industrial design, with a special focus in CMF-- or color material and finish.

My design passions revolve around how cutting edge technologies can help solve problems in design I'm currently exploring how AI, AR and VR technologies can be integrated into current curriculum. My teaching philosophy focuses on bridging the gap between industry and education.

As an industry professional and educator, I feel it's important to approach education with an eye for how their learning applies to the real world. Coming from a private design school background, I'm thrilled to have the opportunity to teach at the state level, where design education is available to a wider audience and our students might simultaneously be taking physics and anthropology classes for example.

For over 30 years, San Jose State has offered a solid industrial design education with a lot of student time spent in our central shop in classrooms where they're able to build and mock up their ideas. During lockdown, SJSU was one of the first institutions to respond to the pandemic by shutting down or severely limiting access to our hands on learning facilities and on campus activities.

As a result, our students returned back to their homes of origin, sometimes across the world. This challenged us to find creative ways to pivot our instruction and curriculum to teach remotely and virtually. I learned about Fusion 360 and Generative Design while teaching with Jeffrey Smith at Diablo Valley College in Pleasant Hill.

The disrupting forces of the pandemic provided an opportunity at SJSU to introduce CAD early in the design course roadmap, due to limited access in the central shop and the need to still develop products and evaluate form on screen. We did our best to reflect processes they were missing-- such as cutting on the band saw-- with digital operations in Fusion 360.

Much like many other institutions, disciplines at SJSU are siloed. And while collaboration is encouraged, there is very little to motivate the effort. And many obstacles make it difficult or impossible in practice. And still the world is changing, becoming more collaborative and the lines between fields are constantly blurring. Design and engineering in the built world do not happen in a vacuum independent of each other. So why would we approach education in these fields as if they do?

At the education level, we have very little knowledge about what the other discipline teaches. And if there are overlapping topics, such as packaging design, they're often taught completely separately with no interaction from other disciplines. Part of my commitment to education is to break these silos by introducing cross discipline collaboration in higher education.

Partnering with Autodesk and using Fusion 360 has been a great platform to help make this happen. The design industry has changed over the past 100 years at least. However, design education has not changed as much. The history of design education roots back to 17th century Europe.

Students were treated like pre apprentices and still today are assigned abstract projects that represent principles and skills. Whereas a chemistry student must first learn the periodic table and mathematics before applying it to chemistry, design is taught through projects and applied principles. When before we might have had a design champion with a vision like Raymond Loewy designing entire systems, vehicles, experiences, now design and product development more often happens in teams of more than one.

The automotive industry is the best example of this, where you might have one designer designing the tail light while another is designing the door handles. Disciplines in industry must work together to accomplish goals of product delivery. Today companies are more open and sometimes even seek cross-pollination.

You might find an engineering position advertising for an industrial designer because of their need for user centric solutions. A graphic designer might work on a kiosk display making recommendations on the user interaction in the built world and not just designing 2D graphics.

When one group or department tosses the deliverables over the fence to the next department, problems continue unsolved, innovation is less viable, and timelines and product development suffers. Some companies are marketing driven, like the toy industry, while others are injured engineering driven, such as the pro audio market.

Either way, when one is leading the other and there are players in the dark until later in the product development cycle, it's a recipe for stunted innovation. Empower engineering with design and design with engineering. And with the right team, the possibility of innovation expands.

I'm hoping to reverse influence industry through fostering a more integrated workforce of graduating students, starting with design and engineering. In my career, I was very fortunate to work with world class teams who also saw the value that I brought to the playing field with design. It was early in my career that I realized the value of all our creative inputs early in the specification of a product development proposal.

When new product proposals came through the pipes, I was successful in inserting ID into the very beginning phase of definition equal at the table with marketing, sales, engineering, and insisted that our manufacturing partners were there as well. It was a tremendously successful change in our operation. And I bring this holistic approach to design education and am committed to intersecting our disciplines in collaboration when possible at SJSU.

The challenge in design education is that designers are not engineers. And engineers are not designers. Our curriculum necessitates a focus on the skills and knowledge needed to perform the tasks of the major. However, exposure and collaboration could bridge the gap between what students have time to learn individually under each major.

Since I started full time in 2020, I have explored and found new ways to integrate cutting edge technologies and new workflows and design. Being situated in Silicon Valley, I found it's important for our students to be exposed to all that's possible and even emerging. I will share with you our journey to collaboration through the following case studies.

The opportunity to expand our software knowledge to include Fusion 360 came in the form of my sustainability course. Traditional design workflow puts consideration for materials and manufacturing after the design is already decided. We turned the design process upside down and introduced CAD early as an iterative tool in leveraging the power of AI through Autodesk Fusion 360 software. Incorporating Generative Design studies leverages the ability of the software to come up with multiple viable solutions early in the design phase, thus thinking impact first instead of leaving it as a last priority.

The rationale for using Fusion 360 revolved around the ability of Generative Design AI to light weight and strength optimize. In addition to the intention was also to expose students to materials and manufacturing through Fusion 360's aPriori feature, which helps calculate the manufacturing cost of a part based on the materials selected. At this early stage in my career and experience, I had no collaborative partners. And we dove in headfirst as best we could.

Di Jin's Autodesk education team-- Tim Paul, Gaby Waldman-Fried, and their Autodesk ambassadors were instrumental in our quick ramp up and did a phenomenal job supporting students and faculty. We held a series of short workshops to introduce the Fusion platform as an iterative tool. We used a book called The Ocala practitioner to learn about the environmental impact of our material and design choices and started by using the eco-design strategy wheel to generate ideas and concepts, prioritizing ecology first.

These are examples of how students incorporated Generative Design in their concepts. Most of the students in this class had already taken to SolidWorks classes. The culminating work was displayed as a self-guided walking tour at the history San Jose park in San Jose, California. Given our isolation during the pandemic, the ability to generate AR models was nice to be able to get a sense of form in space, albeit through AR.

Final models were viewable in air triggered by QR codes on posters throughout the park. We collaborated with a graphic design studio class, led by Philip Crana and Derek Truong. And their students create their students created a unifying website that helped visitors navigate through the tour and poster artwork or print.

This is the workflow I use to create the AR models. This was a virtual gallery loop on display, introducing the posters on a monitor at the beginning of the walking tour. At the end of the term, and an impressive effort on the part of my students, what was clearly missing is the what, why and the how of Generative Design. I underestimated the complexity of the input parameters needed to constrain the model and prepare for AI calculations, which was magically happening in cloud and disconnected from the inputs that students were experiencing.

What was clear is that students could benefit from scaffolding knowledge about the forces at work and defining their generative studies. It wasn't until after the term ended that I learned more about topology optimization. And I realized that this could be the missing link to connect what Generative Design was doing in the cloud, rather than waiting hours for a generative solve to see the results of a parameter change. With topology optimization, students can see in real time and connect the difference with the color and model changes on screen.

We had an opportunity to fabricate the winning design of a kiosk display for the Thompson Gallery in the art building of San Jose State to display postcards from a multidiscipline design competition. Comparable to what would happen in real life outside of education, design and mechanical engineering combined efforts in order to validate the design for public use and to fabricate the model together in the mechanical engineering maker space for a fall 2021 gallery opening.

Unfortunately, COVID protocols kept the maker space unavailable for us to build. However, the positive experience of collaboration has launched us into more possibilities of cross-discipline and multidiscipline curriculum. My course on advanced materials seemed like an ideal place to layer in foundational knowledge towards topology optimization.

So I approached the professor for chemical and materials engineering, Professor Oscar [? Kelish, ?] with a case study project around a product called the hip hook. Gaby Waldman-Fried and Tim Paul introduced topology optimization in my advanced materials class. The chemical and material engineering students were invited, as well as their professor Oscar [? Kelish. ?]

We talked about meshes and shape optimization mean different things to design and engineering. Polygon meshes might be familiar to designers who use 3D surfacing software, such as Alias, Rhino, and Blender, for example. Gabby and Tim did a great job of pointing out the connection between polygons and finite element analysis. It's my hope that as we continue to layer in new engineering concepts, the connection between the load bearing vertices and polygon geometry will help designers develop products with longer lifespans and using less material-- raw materials-- which ultimately leads to less heart failure, decreased part cost, and more sustainable practices.

The case study collaborative effort went OK, but didn't draw the engagement in results I was hoping for. It wasn't enough to just get the students and faculty in the same room and excited about collaboration. I spent a lot of time and energy to get this far. But what was clear is that I missed the part about interlinking deliverables to make engagement more motivated and fruitful.

As a design professional, you're motivated to ask questions and find answers to champion your design intent. But as students, they don't yet understand each other's values yet. So I will need to go into greater depth introducing the roles of designers and engineers. I also think that in designing the activities next time, I will consider the end goal that showcases each of the disciplines skills first, and then create the assignments that require each to do their part similar to what it would be like in an actual consultancy or a corporation.

This leads us to the Kreative Kitchen. At this point, the need for collaboration and the value of what it offers our students is gaining traction at SJSU. Autodesk education lead, Di Jin was instrumental in introducing me to Dr. Vimal Viswanathan, who in turn brought in education advisor, Maureen Smith. And we're piloting an independent study course for fall with two students from engineering and two students from industrial design to apply their subsequent skills to a sponsored project.

The purpose of this pilot course is to provide students with dedicated time and course credit for collaborating cross discipline and design related projects. This studio style course will provide students with a real world experience of working with other disciplines, such as design, engineering, business, and graphic design.

Students will explore technology and experimental product design conceptualizations in a way that fosters attention to more sustainable practices and technology integration. By pooling resources into one course, students will benefit from exposure to skills and knowledge base otherwise unavailable through their distinct siloed curriculum.

For example, the ID program does not require coursework in engineering. However, students will greatly benefit from working with engineering students to produce designs with greater consideration for manufacturability. Inversely, engineering students will greatly benefit from the creative product visualization tools and skills taught in the ID curriculum.

The project sponsor this fall is the Aerospace Museum of California in Sacramento. They have asked students to redesign their display for museum artifacts with materials and processes that make it possible to fabricate in-house. This design for fabrication project is a great way for undergraduate students to integrate what they've learned so far in applied design and engineering.

This studio style engagement will better prepare students for graduation and entering the workforce. The first phase of crosslinking our disciplines in this pilot course is to better understand what we teach. I'm working with the current chair of the mechanical engineering program, Dr. Vimal Viswanathan, assistant professor, Amir Armani, and College of Education advisor, Maureen Smith, to align learning objectives and track outcomes.

I created a repository for our respective disciplines to upload relevant lectures for us to find common ground and how and where we can crosslink our subsequent lectures for our students in other courses. I'm meeting with ME faculty weekly to keep the conversation going as we brainstorm and dive deeper into what's necessary and possible.

The premise of unschooling is that when the student is interested in something then they learn faster and retain knowledge better. How would this look if applied to higher education? With the expansion of new technologies, methodologies of form, and design evaluation and workflows, who's to say that design education might not also change? I feel it's important to expose students to cutting edge software and technologies, even if it takes longer for industry to adopt them.

The Wacom or pen tablet is a great example of this technology shift during my seven years at SJSU. In the beginning, we were requiring that students purchase and use a pen tablet. However, many of the design consultancies in the area were not yet using them in their offices. Within five years however, pen tablets have become more and more standard and digital sketching quality has catapulted in leaps and bounds because of the technology.

I'm excited to see how Generative Design and 3D scanning are able to influence and expand our design and engineering capabilities in stride. The master paths option would allow for students to choose how they produce the deliverables for a given phase of development. This idea arose from a conversation with Doctor Viswanathan and Michelle Smith, whose experience and insights have already been invaluable to this project.

Generative Design is a great example of how a student would or could replace part of the development phase with AI generated solutions to evaluate. Another way students could integrate new technologies is by using 3D scanned data to make design modifications in CAD. We have other technologies also available for students to explore within this pilot program.

In this example of 3D scanning, we have a new workflow that we're exploring to move more fluidly between hand modeling and CAD. The exercise of designing a speed form comes from the automotive industry practice of building a clay model on the surface of a mirror. The mirror is useful to evaluate symmetrical forms. Building only half the model saves time.

Students build a half model in clay. And then the challenge is for students to learn about cross-sections and rebuild the full scale mirrored form by hand, using the cross sections. There is a big leap in understanding necessary for students to complete this with success. If we could integrate 3D scanned-- if we could 3D scan the half clay model and then mirror it in Fusion, the hypothesis is that students could quickly perform section analysis using Fusion 360 and more successfully understand the relationship between form transitions and cross-sections.

The interest generated from the Kreative Kitchen keeps expanding into new interest in collaboration. It's exciting to find new faculty and me and other disciplines of like mind who share similar values. Led by creative ambassador Cynthia Kao, the community table project aims to showcase the diversity of San Jose and raise awareness around food insecurities.

Statistics reflect that one in five students on campus struggle with food insecurities. The grant funding from this project will offer multiple workshops open to students from all SJSU departments to cross-pollinate skills. For example, the art department will host a workshop on papermaking from food waste scraps, while ID will offer traditional mold making and casting workshops, juxtaposed with alternatives and experimental workflows using 3D printed molds and casting with food waste, paper pulp, and biomaterials.

This is the first time student work will be showcased in the SJSU Thompson Gallery. And we're all hoping that the efforts on this relevant social theme will promote the value of interdisciplinary collaboration in the future. In order to start the conversation, students from mechanical engineering classes as well as packaging and graphic design were invited to milestone critiques, discord channels, lectures, and workshops.

Time conflicts between disciplines is the first hurdle. So I set up a discord channel to allow for low stakes connection at any time. We're integrating this into the Kreative Kitchen and several other classes as well so that students can connect outside the classroom. We also use a MIRO board to post milestone presentations. And this is accessible virtually for our team. So students from other majors can jump on at any time and see progress or provide feedback.

It's not really happening much yet. But the platform is there, which does-- which when it does, it'll be available when it gains momentum. Mechanical engineering Professor Ed Cydzik joined our ideation milestone review to provide feedback for student concepts. Students shared with the professor their design process, software, and techniques.

And Professor Cydzik provided some feedback from a mechanical engineering and design perspective for design for manufacturing perspective. Given the limitations to central shop access, we found more and more ways to leverage the tools we do have to instill design and engineering curriculum in accessible ways. The availability and decreased cost of 3D printers has made it a great tool for students to still learn techniques critical to product development, such as molding and casting.

The pandemic's effect on supply chain has also affected the availability of urethanes, a typical material used in the industrial design development process. This shortage has been a positive influence on our search for even more sustainable practices. And we're looking forward to experimenting with biomaterials, 3D printed molds, and more sustainable alternatives to silicone molding-- or silicone for molding.

This point of experimentation in lab work will be a great place for collaboration to occur, if timing aligns with mechanical engineering students this term. I have to mention that while I'm committed to education and excited about the advances of technology and what it might mean for our students and future, this is often the reality.

This is often the reality I face when it comes to my materials and manufacturing classes. Collaboration is still a challenge for students and faculty. And we're only just now starting to make progress in the right direction. Bridging the gap between industry and education can work both ways.

And it is my hope that our graduating students will enter the workforce with an appreciation and understanding of the value each discipline brings to the table and influence as much expansion as we're benefiting from industry partnership, like that of Autodesk. Thank you for taking the time to listen to my presentation today.

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我们通过 CJ Affiliates 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. CJ Affiliates 隐私政策
Commission Factory
我们通过 Commission Factory 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Commission Factory 隐私政策
Google Analytics (Strictly Necessary)
我们通过 Google Analytics (Strictly Necessary) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Strictly Necessary) 隐私政策
Typepad Stats
我们通过 Typepad Stats 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Typepad Stats 隐私政策
Geo Targetly
我们使用 Geo Targetly 将网站访问者引导至最合适的网页并/或根据他们的位置提供量身定制的内容。 Geo Targetly 使用网站访问者的 IP 地址确定访问者设备的大致位置。 这有助于确保访问者以其(最有可能的)本地语言浏览内容。Geo Targetly 隐私政策
SpeedCurve
我们使用 SpeedCurve 来监控和衡量您的网站体验的性能,具体因素为网页加载时间以及后续元素(如图像、脚本和文本)的响应能力。SpeedCurve 隐私政策
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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改善您的体验 – 使我们能够为您展示与您相关的内容

Google Optimize
我们通过 Google Optimize 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Google Optimize 隐私政策
ClickTale
我们通过 ClickTale 更好地了解您可能会在站点的哪些方面遇到困难。我们通过会话记录来帮助了解您与站点的交互方式,包括页面上的各种元素。将隐藏可能会识别个人身份的信息,而不会收集此信息。. ClickTale 隐私政策
OneSignal
我们通过 OneSignal 在 OneSignal 提供支持的站点上投放数字广告。根据 OneSignal 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 OneSignal 收集的与您相关的数据相整合。我们利用发送给 OneSignal 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. OneSignal 隐私政策
Optimizely
我们通过 Optimizely 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Optimizely 隐私政策
Amplitude
我们通过 Amplitude 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Amplitude 隐私政策
Snowplow
我们通过 Snowplow 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Snowplow 隐私政策
UserVoice
我们通过 UserVoice 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. UserVoice 隐私政策
Clearbit
Clearbit 允许实时数据扩充,为客户提供个性化且相关的体验。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。Clearbit 隐私政策
YouTube
YouTube 是一个视频共享平台,允许用户在我们的网站上查看和共享嵌入视频。YouTube 提供关于视频性能的观看指标。 YouTube 隐私政策

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定制您的广告 – 允许我们为您提供针对性的广告

Adobe Analytics
我们通过 Adobe Analytics 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Adobe Analytics 隐私政策
Google Analytics (Web Analytics)
我们通过 Google Analytics (Web Analytics) 收集与您在我们站点中的活动相关的数据。这可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。我们使用此数据来衡量我们站点的性能并评估联机体验的难易程度,以便我们改进相关功能。此外,我们还将使用高级分析方法来优化电子邮件体验、客户支持体验和销售体验。. Google Analytics (Web Analytics) 隐私政策
AdWords
我们通过 AdWords 在 AdWords 提供支持的站点上投放数字广告。根据 AdWords 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AdWords 收集的与您相关的数据相整合。我们利用发送给 AdWords 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AdWords 隐私政策
Marketo
我们通过 Marketo 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。我们可能会将此数据与从其他信息源收集的数据相整合,以根据高级分析处理方法向您提供改进的销售体验或客户服务体验以及更相关的内容。. Marketo 隐私政策
Doubleclick
我们通过 Doubleclick 在 Doubleclick 提供支持的站点上投放数字广告。根据 Doubleclick 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Doubleclick 收集的与您相关的数据相整合。我们利用发送给 Doubleclick 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Doubleclick 隐私政策
HubSpot
我们通过 HubSpot 更及时地向您发送相关电子邮件内容。为此,我们收集与以下各项相关的数据:您的网络活动,您对我们所发送电子邮件的响应。收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、电子邮件打开率、单击的链接等。. HubSpot 隐私政策
Twitter
我们通过 Twitter 在 Twitter 提供支持的站点上投放数字广告。根据 Twitter 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Twitter 收集的与您相关的数据相整合。我们利用发送给 Twitter 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Twitter 隐私政策
Facebook
我们通过 Facebook 在 Facebook 提供支持的站点上投放数字广告。根据 Facebook 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Facebook 收集的与您相关的数据相整合。我们利用发送给 Facebook 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Facebook 隐私政策
LinkedIn
我们通过 LinkedIn 在 LinkedIn 提供支持的站点上投放数字广告。根据 LinkedIn 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 LinkedIn 收集的与您相关的数据相整合。我们利用发送给 LinkedIn 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. LinkedIn 隐私政策
Yahoo! Japan
我们通过 Yahoo! Japan 在 Yahoo! Japan 提供支持的站点上投放数字广告。根据 Yahoo! Japan 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Yahoo! Japan 收集的与您相关的数据相整合。我们利用发送给 Yahoo! Japan 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Yahoo! Japan 隐私政策
Naver
我们通过 Naver 在 Naver 提供支持的站点上投放数字广告。根据 Naver 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Naver 收集的与您相关的数据相整合。我们利用发送给 Naver 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Naver 隐私政策
Quantcast
我们通过 Quantcast 在 Quantcast 提供支持的站点上投放数字广告。根据 Quantcast 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Quantcast 收集的与您相关的数据相整合。我们利用发送给 Quantcast 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Quantcast 隐私政策
Call Tracking
我们通过 Call Tracking 为推广活动提供专属的电话号码。从而,使您可以更快地联系我们的支持人员并帮助我们更精确地评估我们的表现。我们可能会通过提供的电话号码收集与您在站点中的活动相关的数据。. Call Tracking 隐私政策
Wunderkind
我们通过 Wunderkind 在 Wunderkind 提供支持的站点上投放数字广告。根据 Wunderkind 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Wunderkind 收集的与您相关的数据相整合。我们利用发送给 Wunderkind 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Wunderkind 隐私政策
ADC Media
我们通过 ADC Media 在 ADC Media 提供支持的站点上投放数字广告。根据 ADC Media 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 ADC Media 收集的与您相关的数据相整合。我们利用发送给 ADC Media 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. ADC Media 隐私政策
AgrantSEM
我们通过 AgrantSEM 在 AgrantSEM 提供支持的站点上投放数字广告。根据 AgrantSEM 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 AgrantSEM 收集的与您相关的数据相整合。我们利用发送给 AgrantSEM 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. AgrantSEM 隐私政策
Bidtellect
我们通过 Bidtellect 在 Bidtellect 提供支持的站点上投放数字广告。根据 Bidtellect 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bidtellect 收集的与您相关的数据相整合。我们利用发送给 Bidtellect 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bidtellect 隐私政策
Bing
我们通过 Bing 在 Bing 提供支持的站点上投放数字广告。根据 Bing 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Bing 收集的与您相关的数据相整合。我们利用发送给 Bing 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Bing 隐私政策
G2Crowd
我们通过 G2Crowd 在 G2Crowd 提供支持的站点上投放数字广告。根据 G2Crowd 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 G2Crowd 收集的与您相关的数据相整合。我们利用发送给 G2Crowd 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. G2Crowd 隐私政策
NMPI Display
我们通过 NMPI Display 在 NMPI Display 提供支持的站点上投放数字广告。根据 NMPI Display 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 NMPI Display 收集的与您相关的数据相整合。我们利用发送给 NMPI Display 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. NMPI Display 隐私政策
VK
我们通过 VK 在 VK 提供支持的站点上投放数字广告。根据 VK 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 VK 收集的与您相关的数据相整合。我们利用发送给 VK 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. VK 隐私政策
Adobe Target
我们通过 Adobe Target 测试站点上的新功能并自定义您对这些功能的体验。为此,我们将收集与您在站点中的活动相关的数据。此数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID、您的 Autodesk ID 等。根据功能测试,您可能会体验不同版本的站点;或者,根据访问者属性,您可能会查看个性化内容。. Adobe Target 隐私政策
Google Analytics (Advertising)
我们通过 Google Analytics (Advertising) 在 Google Analytics (Advertising) 提供支持的站点上投放数字广告。根据 Google Analytics (Advertising) 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Google Analytics (Advertising) 收集的与您相关的数据相整合。我们利用发送给 Google Analytics (Advertising) 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Google Analytics (Advertising) 隐私政策
Trendkite
我们通过 Trendkite 在 Trendkite 提供支持的站点上投放数字广告。根据 Trendkite 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Trendkite 收集的与您相关的数据相整合。我们利用发送给 Trendkite 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Trendkite 隐私政策
Hotjar
我们通过 Hotjar 在 Hotjar 提供支持的站点上投放数字广告。根据 Hotjar 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Hotjar 收集的与您相关的数据相整合。我们利用发送给 Hotjar 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Hotjar 隐私政策
6 Sense
我们通过 6 Sense 在 6 Sense 提供支持的站点上投放数字广告。根据 6 Sense 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 6 Sense 收集的与您相关的数据相整合。我们利用发送给 6 Sense 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. 6 Sense 隐私政策
Terminus
我们通过 Terminus 在 Terminus 提供支持的站点上投放数字广告。根据 Terminus 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 Terminus 收集的与您相关的数据相整合。我们利用发送给 Terminus 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. Terminus 隐私政策
StackAdapt
我们通过 StackAdapt 在 StackAdapt 提供支持的站点上投放数字广告。根据 StackAdapt 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 StackAdapt 收集的与您相关的数据相整合。我们利用发送给 StackAdapt 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. StackAdapt 隐私政策
The Trade Desk
我们通过 The Trade Desk 在 The Trade Desk 提供支持的站点上投放数字广告。根据 The Trade Desk 数据以及我们收集的与您在站点中的活动相关的数据,有针对性地提供广告。我们收集的数据可能包含您访问的页面、您启动的试用版、您播放的视频、您购买的东西、您的 IP 地址或设备 ID。可能会将此信息与 The Trade Desk 收集的与您相关的数据相整合。我们利用发送给 The Trade Desk 的数据为您提供更具个性化的数字广告体验并向您展现相关性更强的广告。. The Trade Desk 隐私政策
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

是否确定要简化联机体验?

我们希望您能够从我们这里获得良好体验。对于上一屏幕中的类别,如果选择“是”,我们将收集并使用您的数据以自定义您的体验并为您构建更好的应用程序。您可以访问我们的“隐私声明”,根据需要更改您的设置。

个性化您的体验,选择由您来做。

我们重视隐私权。我们收集的数据可以帮助我们了解您对我们产品的使用情况、您可能感兴趣的信息以及我们可以在哪些方面做出改善以使您与 Autodesk 的沟通更为顺畅。

我们是否可以收集并使用您的数据,从而为您打造个性化的体验?

通过管理您在此站点的隐私设置来了解个性化体验的好处,或访问我们的隐私声明详细了解您的可用选项。