Events & Lectures

The BayChi presentation, Revealing Hidden Stories: Co-Designing the Thamien Ohlone Augmented Reality Tour, sounds like a fascinating exploration into using augmented reality (AR) for storytelling, particularly to honor the history and culture of the Thamien Ohlone people. This approach emphasizes co-design, where members of the Ohlone community actively participate in shaping the experience, ensuring cultural authenticity and relevance. I imagine this would highlight how interaction designers can work collaboratively with communities to bring historical narratives to life, leveraging technology to create meaningful, educational experiences.

Learning from this presentation could greatly impact your IXD practice by showcasing the importance of inclusivity and cultural sensitivity when designing experiences that represent diverse histories. It might inspire new ways to think about user-centered design, not only focusing on functionality but also on how digital interactions can deepen cultural understanding and empathy. Additionally, seeing how AR is applied to create immersive tours could broaden your technical skill set, making you more adaptable to emerging tools and techniques that make interfaces more engaging.

The BayChi presentation on Revealing Hidden Stories: Co-Designing the Thamien Ohlone Augmented Reality Tour was a fascinating exploration of how technology can be used to uncover and honour cultural narratives that are often overlooked. The session focused on the collaboration between designers and the Thamien Ohlone community to create an augmented reality (AR) tour that brings to life the historical and cultural significance of the Thamien Ohlone people in the Bay Area. What stood out was the emphasis on co-design, where the community played a central role in shaping the experience, ensuring authenticity and respect for their stories.

One of the key lessons I took away from this presentation was the importance of deeply involving communities in the design process, especially when dealing with cultural or historical content. Co-design fosters a sense of ownership and ensures that the resulting product accurately represents the voices and values of the people it is meant to serve. In my own IXD practice, this has inspired me to think more critically about how I involve stakeholders, not just as users but as collaborators who can guide and enrich the design process. This approach goes beyond usability—it focuses on creating meaningful, culturally sensitive experiences.

Attending the BayCHI presentation on “Co-Designing the Thamien Ohlone Augmented Reality Tour” was a one-of-a-kind experience that helped me understand interaction design better. The emphasis on co-design with indigenous populations stood out to me. It was more than just producing an AR tour; it was also about collaborating with the Thamien Ohlone people to tell their own experiences.

This collaborative approach prompted me to reconsider how I could more completely engage people in the design process. I was also fascinated by the application of augmented reality. Instead than simply overlaying facts, it enabled narrative that brought the Ohlone people’s history to life, linking the past and the present. This got me thinking about how AR could be used in other educational or historical contexts, producing.

This presentation prompted me to reflect on my own work. I want to experiment with more ways to include augmented reality into my ideas, and I am motivated to think more carefully about the cultural and ethical implications of my designs. Most importantly, I will consider how to incorporate people into the design process in order to develop experiences that actually resonate with them.

After watching Fei-Fei Li’s presentation, I was struck by her personal story, from struggling as a Chinese immigrant in the U.S. to becoming a leading figure in artificial intelligence. Her journey shows how personal experiences can shape one’s approach to technology. Li emphasizes the importance of human-centered AI, ensuring that technology works ethically and benefits society.

What I learned is how AI is not just about algorithms but about designing systems that understand and interact with humans in meaningful ways. This insight is vital for interaction design, where empathy and user experience are key. Li’s focus on ethics and inclusivity in AI pushes me to think more critically about the long-term impact of the designs I create, especially as AI becomes more integrated into our daily lives.

This presentation reinforced the idea that interaction design should not just focus on how humans interact with technology today but also on how future innovations, like AI can be built to enhance human values and equity.

A key take away from Fei Fei’s Computer History Museum livestream is that the pursuit for knowledge is never ending, and we should approach the future of technology with awareness. Notes: Imagenet algorithm that can segment objects or predict the relationship between them. Describe a photo in human natural language. Impossible is possible. Room for improvement not realistic enough. We want AI to help us as much as possible. Simply seeing is not enough “Seeing is doing” Spatial intelligence predict what will happen next and willingness to act. AI promotes action. See, talk, and do. Translate sentence into 3D spatial room layout. Algorithm that takes one image and infinitely generate possible spaces to be explored. Immersive experience. Real worlds modeled in digital forms. Train computers to act see in a 3D world. Robot arm performing daily tasks through verbal instructions. Robots to aid and assist. 3D worlds real or virtual. AI impact patient outcomes smart sensors that detect sanitary cautions or track surgical instruments, when patients are at risk. Ambient intelligence like an extra pair of eyes. Help with those with severe paralysis or ALS to detect brainwaves to perform daily tasks. Pre imagined no one believed in data, although AI is data driveled. Was deeply suspicious. 99 stupid ideas over 1 ideas. Just because you’re challenged doesn’t meant mean you should give up. 2016 marked the great tech breakthrough. Possibly also marked the decrease is tech luxury and lay offs. Boom of excitement and anticipation and fear. 2022 release of ChatGPT. First accessible AI that holds intimacy with users. Awakening moment. Every point in history technology and science is limited. There will always be a pursuit for more information and learnings. We are living in a boom, within 3-5 years more about how we will govern these models. AI bills, unsafe technology? Government vs Science? Will the government hold back on AI’s predicted growth? Spatial intelligence is evolution dating back to animal behaviors, how we interact with 3D realms. How do we transfer data and digital behaviors into actionable tangible behavior.

AI, as in Artificial intelligence, a powerful and knowledgeable tool, when you give an artificial intelligence a command, it will give you an answer in a few seconds that would take you a lot of time to obtain. This may seem a little bit scary, the fact that AI will replace human being in many jobs have been overly spread between people.

In the video, Fei Fei Li talked a lot of information and what she think about Artificial intelligence, I highly agree with her point on the statement, AI would not replace human being, she strongly advocates for AI that complements and augments human capabilities rather than replaces them. AI is a great inventory or an discovery, it will make life easier for human being, but for now it should serve what men thinks and that human values must guide its development.

She thinks that AI should not be an competitor to humans, and people must not fear the rise of the AI. People should be seeing it as a useful tool, and erase the concerns about losing our jobs. She argues that AI’s development should be inclusive and diverse, with diverse stakeholders involved in shaping its future.

Me myself tired many times using the AI, for example like ChatGPT, I was really amaze by the capability it can do, and I think with an AI, I can do much more things faster and more accurate, but in top of that, I was the one that is giving it idea and concepts, more like a boss to an employee. AI served me good, and I also think artificial intelligence will make people life more easier instead of replacing human’s life. We add meaning to a tool, not let the tool lead us.

Fei-Fei Li’s AI journey is more fundamentally about the discomfort and contradiction between humans and the surge in productivity. It cannot be denied that regardless of the type of AI, it is inevitable that a large number of humans will use it and generate text/images for machine learning in current technology. No matter what AI model it is, they will always involve the views of the human community on the pieced-together things.

On the Internet in China, people have a name for AI of the type of Wensheng map, which is called “corpse”. This is not a good word, but it can clearly express the mainstream opinion on AI. One reason is that a large part of AI training conducted by commercial companies is still carried out through unauthorized resources. Another reason is people’s fear of AI being able to produce extremely quickly in a short period of time. In China, there are many young people (under 25 years old) who learn painting, and they will spend at least three years practicing a lot of basic skills. Now, AI can easily reach the same height in just a few seconds. Even though there are still shortcomings in text and image-type AI, AI has already solved the problem of “hands” that were once difficult to draw in just one year. It can be foreseen that a large number of non-high-quality drawing assignments will be handed over to AI in the future, including but not limited to some simple novel cover drawing, basic character drawings, preliminary storyboarding, and so on.

Setting aside current AI on the market such as ChatGPT, Stable Difference, etc., and focusing on B2B industrial AI, a simple example is Huawei’s predictive shape AI for metal processing in China. In the past, the melting and forging of mineral materials were extremely unstable because iron blocks and coal would undergo various complex chemical reactions during combustion. At this time, it was necessary to rely on artificial intelligence to increase or decrease different mineral materials to complete the extraction of ore. Now, relying on industrial AI, factories can automatically increase or decrease mineral materials. Different mineral materials and furnaces require different conditions for mineral material to increase or decrease. With the help of AI, factories can rapidly reduce the loss of mineral materials and fuel.

It can be clearly observed that the main areas that cause people to develop aversion are those that are easily accessible to ordinary people, while in more complex and professional fields, people hope to use AI to quickly increase efficiency and save costs.

In my opinion, interaction design always revolves around the design of people and machines or people and machines. The design concept of user-centered design will be implemented throughout my entire design career. My design needs to revolve around how to help users understand and use it from start to finish. The commercial use of generative AI still cannot be accepted by a large number of users in a short period of time, and the current AI-related laws are still in a gray area. In the practice and interaction direction of IXD, text-based AI can quickly draw storyboards, while text-based AI can quickly help me solve a large number of problems related to coding and other different fields. These problems are usually relatively simple, and in the past it was difficult for people to find suitable answers. Generally speaking, people tend to ask people around them, but now they only need to ask AI to quickly get debugging. This is a very efficient solution. In some past projects, I usually asked AI about the availability of a certain interaction condition, asking it to provide me with some solutions. Then, I would evaluate these solutions, search for solutions through different channels, and finally verify them from multiple sources to help me advance the IXD project.

I think AI is more like an assistant than a designer. In Li’s lecture, he emphasized the importance of empathy in technology. She discussed how to develop artificial intelligence with a focus on human values, emphasizing the need for technology to enhance our understanding and connection with the world around us. When I reflect on my practice in Interaction Design (IXD), this viewpoint resonates with me.

Fei-Fei Li’s presentation at the Computer History Museum really opened my eyes to the world of artificial intelligence, especially with her work on ImageNet. One major takeaway was how important data is for AI. ImageNet is a huge collection of labeled images that helped train machine learning models, leading to big advances in how computers understand images. This shows that having the right data can make a huge difference in what AI can do.

Her emphasis on making AI ethical and human-centered also caught my attention. FeiFei highlights that although AI is capable of amazing things,, it should be designed with people in mind. It involves more than just automating work; it also involves enhancing lifestyles and meeting societal demands. This message really resonates with me as I think about how I design interactive experiences.

Here are some ways her insights will influence my practice in interaction design:

1. Value of data: Knowing the importance of data makes it clear to me that inclusive and varied data is needed to power AI systems.
2. Human-centered Approach:  Fei-Fei Li’s emphasis on empathy serves as a helpful reminder to me to design with users in mind. My goal is to make sure that AI technologies improve user experience instead of making it more difficult.
3. Long-term Impact: Her call to consider the societal effects of AI reminds me that my design choices have consequences. When I design interactive experiences, I have to consider things like privacy and equity to make sure that everyone benefits from it.

I watched the live directing of the Computer History Museum on YouTube, and I enjoyed this. Dr. Fei-Fei Li discussed what kind of advancements have been made with respect to AI over the years. She went on to describe AI: where it began, how we struggled along the way and now why the world is beginning to depend so heavily upon it. One of the biggest change that big data and machine learning has brought into AI space today is being real power.

One of the concepts that resonated with me was human-centered AI. According to Dr. Li, AI must be created in a manner and with values that would assist the people. Esther, she is also one of the people who think that very seriously whether AI changes individuals, communities and society. This is where it became fully clear for me that we design, we have a responsibility to society to assure tech is good for all.

She also addressed the risks of AI bias and automation of work. Which made me realize just how important it is to tread carefully when building AI systems. It is something that we must explore with the contributions of other sectors, including social sciences and humanities. This collaboration could aid us in crafting AI that is fair and beneficial.

I love watching this live talk, it makes me want to be a lot better at interaction design. I want to be a little more curated in tech and focus on where the human meets the machine. I also agree on checking up on AI and learning more whenever something new pops up. This will assist me in designing responsible and good-for-people-and-the-planet sorts of designs.

I recently had the opportunity to learn about Fei-Fei Li’s new book, The Worlds I See, in which she shares her journey from immigrating from China to the United States to becoming a global AI leader. As an interaction design student, I was deeply moved by her experience, especially her resilience and perseverance in the face of challenges.

Feifei Li immigrated to the U.S. with her parents at the age of 16, and initially faced obstacles such as language barriers and cultural differences. As she recounted these experiences, she made me realize that as an immigrant, there are no “shortcuts” to being a newcomer. Starting from scratch means extra effort and perseverance. Instead of letting these difficulties get her down, she took them as her motivation. Eventually, she not only finished her studies, but also became a professor at Stanford University, leading an AI lab.

As a student, I often encountered various challenges in my studies, and Feifei Li’s story made me realize that no matter what difficulties I encountered, as long as I focused and persevered, I would eventually see results. She not only changed the future of AI with her scientific achievements, but also inspired young people like me to follow their dreams.

Shuoning liang 2024/9/23

Fei-Fei Li’s speech demonstrated the profound connection between technological innovation and human needs through her personal growth and her contribution to artificial intelligence (AI). In “The World in My Eyes” and her sharing at the Computer History Museum, Fei-Fei Li talked about how she combined her immigrant experience with technological exploration to promote the development of computer vision and AI. Her work especially focuses on how to make AI more humane, which has important implications for interactive design (IXD).

A key point she emphasized is that AI must serve humans, which made me realize that in IXD practice, design is not just about pursuing functions, but also about bringing more humane interactive experiences. Fei-Fei Li’s development of ImageNet showed how large-scale datasets can provide cognitive capabilities for AI, which inspired me to have a deep understanding of user needs in the design process and prompted me to think about how to better understand user behavior through technology to optimize interactive design.

At the same time, her experience in applying computer vision to various fields such as medical care made me realize that in IXD, designers should not only consider the direct needs of users, but also apply technology to broader social issues to make design more socially influential.

I was deeply touched by Feifei Li’s sharing of her AI journey. Her experience demonstrates the spirit of perseverance and the persistent pursuit of knowledge. From her story, I learned the following points:

1. Perseverance and Courage: You cannot give up easily when facing difficulties and challenges. On the road to interaction design, you will also encounter various problems and must have enough courage and perseverance to overcome them.
2. Interdisciplinary thinking: Feifei Li’s research involves a variety of fields, such as computer science, artificial intelligence, and neuroscience. This reminds me that in interaction design, I can’t limit myself to a single subject knowledge but actively draw on the results of other fields to broaden my horizons and cultivate interdisciplinary thinking ability.
3. Social responsibility: Feifei Li is committed to promoting technology development and is concerned about its impact on society. She emphasizes that AI should serve human beings and solve problems in the real world. As an interaction designer, I should also thoroughly consider the needs of users and the interests of society when designing medical apps to improve the quality and efficiency of medical services.

Implications for IXD practice:

1. Innovative Design Ideas: Feifei Li’s AI journey has shown me the great potential of AI in the medical field. When designing medical APPs, I can consider introducing AI technologies, such as intelligent diagnosis and personalized treatment suggestions, to provide users with more convenient and efficient medical services. The image recognition technology of AI can also be utilized to help users quickly identify drug packages or symptom manifestations and provide preliminary diagnostic advice. For example, if the user takes a picture of the drug label, the APP automatically recognizes the drug information and gives medication reminders.
2. User Experience Optimization: After learning Feifei Li’s thoughts on the relationship between technology and human beings, I will pay more attention to optimizing user experience. When designing medical apps, we should fully consider users’ needs and psychology, design simple and clear interfaces, provide easy-to-operate functions, and make users feel cared for and supported in the process of using.
3. Teamwork and communication: The success of Feifei Li must be connected to teamwork. I must also communicate and cooperate with developers, doctors, patients, and other parties in the interaction design project. This viewing made me realize the importance of teamwork, and I will try to improve my communication and teamwork skills.

In the video “A Discussion with Professor Terry Winograd of Stanford,” Professor Terry Winograd shares his research experience in Human-Computer Interaction (HCI) and his insights into the future of technology.

Professor Winograd emphasized the importance of user-centered design. He pointed out that understanding the user’s needs is crucial before designing any product. This fits well with what we learned in our Human-Computer Interaction course: always prioritizing the user experience.

The professor also discussed the advancements in Natural Language Processing (NLP) and its application in HCI. This made me excited about the future direction of interaction design as well. Interaction design will face more opportunities and challenges with the continuous development of artificial intelligence, virtual reality, augmented reality, and other technologies. We need to actively explore the application of these new technologies in interaction design to create a richer and more immersive interaction experience for users.

Prof. Winograd’s arguments made me reflect on some of my problems in design and the direction of my learning. I have often focused too much on visual design and interaction patterns in my studies and neglected the impact of design on the whole social ecosystem; Prof. Winograd reminded me that we are designing a product or service for users and a new way of life or interaction. At the same time, I started to think about the social responsibility of design, and Prof. Winograd’s point of view made me realize that interaction design is not just about providing users with an easy interface but also about solving real social problems and making design have a positive impact on society.