This passage made me think about how natural storytelling is to human communication. I agree that stories act like “simulators for life,” because hearing or reading about someone else’s experiences can help us prepare for situations we haven’t faced ourselves. This feels especially true in today’s digital world, where narratives, whether in games, ads, or social media, shape how we understand decisions and consequences. I also find the idea of “patternicity” fascinating; it explains why certain story structures, like the hero’s journey or the “And, But, Therefore” framework, feel instantly familiar. It makes me wonder whether the power of a story comes more from its structure or from the emotional connection we build with it.

This reflection highlights how biases in technology can erase marginalized identities. I agree with the author's concern that AI systems often perpetuate racist and ableist norms because designers may overlook whose experiences are excluded. The reading changed how I think about ethical design; it’s clear that listening to marginalized voices and creating truly inclusive tech should be core to the design process. I still wonder how designers can consistently build justice-oriented values into everyday workflows, instead of treating them as extra steps.

I find this section on GenderMag and theoretically informed personas really fascinating. I agree that traditional personas often oversimplify users, and I like how GenderMag introduces specific cognitive and motivational dimensions to make design more inclusive. The five factors, such as information processing style and risk-taking, reveal that people approach technology in very different ways, and designers must account for this. This made me realize that inclusivity isn’t just about who uses the product, but also how they think, learn, and make decisions when using it.

I like this point about how recruiting participants often requires creativity and courage, like approaching strangers or using mailing lists. It shows that good research isn’t just about having a solid plan; it’s also about being proactive and resourceful. I agree that finding representative users is one of the hardest parts of user research, since not everyone will fit the target audience or be easy to reach. This made me appreciate how much behind-the-scenes effort goes into designing a good study and how researchers often have to step outside their comfort zones to get meaningful results.

I find this explanation of input really clear and helpful; it breaks down something we often take for granted when using technology. I agree with how the reading shows that input isn’t just about pressing buttons but about how systems interpret and structure those actions. It makes me think more about the design challenges behind making input feel “natural” for users. For example, gestures or voice commands might seem simple to us, but they require careful design to ensure the system understands them correctly. This section made me appreciate how much thought goes into translating human intention into digital interaction.

I like how this section highlights the practicality and accessibility of paper prototyping. I agree that being able to “pretend to use a real interface” through paper is such a simple but powerful way to test ideas early without committing to code or visuals. It really changes how I think about design; I used to assume you needed advanced tools to prototype effectively, but this shows how low-tech methods can be just as valuable for gathering feedback. I also appreciate that it emphasizes speed and iteration; being able to build a testable prototype in under an hour encourages experimentation instead of perfectionism.

I find this explanation of using pilot studies to develop better survey questions very insightful and practical. I agree with the idea because starting with open-ended questions allows researchers to ground their closed-ended options in real, authentic responses rather than assumptions. This approach helps avoid bias and ensures the survey reflects how people actually think and talk about an issue. It also changed my perspective by showing how much thought goes into crafting good survey questions; something that seems simple but actually requires careful testing and iteration.

I agree with this statement because understanding the competitive landscape is essential for designing products that truly meet user needs while standing out in the market. A UX competitive analysis doesn’t just help designers replicate what already exists; it helps them identify gaps, pain points, and opportunities for innovation. I also find this idea useful because it reframes competition as a learning tool rather than a threat; instead of focusing only on differentiation for its own sake, it emphasizes how analyzing others’ successes and failures can strategically guide better design and product decisions.

I personally think this kind of shallow criticism is mainly due to the heavy influence of social media. Platforms like Instagram, Twitter, and TikTok encourage quick, surface-level reactions, likes, emojis, or short comments, rather than thoughtful, in-depth feedback. People are trained to respond instantly, often prioritizing attention or social approval over meaningful engagement. This environment promotes brief, generalized judgments such as ‘cool’ or ‘not my vibe’ instead of nuanced suggestions or creative insights, which can make it harder for individuals to practice giving or receiving constructive criticism in more substantial contexts.

This made me think of the phrase "with age comes wisdom". I think most people can agree that nowadays, people don't really use this phrase because they don't believe in it. But I think the phrase still holds some truth, as this passage describes. With age (and time), you can gain experience through trial and error in whatever you are doing. Experience cannot be taught; one must go through it themselves to gain the wisdom/knowledge from it.

In one of the other INFO classes I'm taking this quarter, we discussed systems thinking, which involves many independent parts working together to achieve a common goal. I think in the same sense, the use of personas, scenarios, and defining goals is similar to the systems thinking process that I am learning about in the other class.

This reminded me of selecting which kart to use when playing Mario Kart. When you observe the overview for each kart, it shows you the stats for the kart's speed, acceleration, steering, etc. Each kart has different stats across the board, with both strengths and weaknesses. But they are all balanced by their stats. If one kart has really high stats for speed and acceleration, it may not have that high of steering. A kart might even just have average stats across all attributes. Likewise, when talking about desirable and undesirable situations, you must sacrifice some parts to improve other parts; you can't have everything at once.

This paragraph made me realize how simple the title "Designer" is on paper, but the variety of expertise in designing is almost endless. As the text mentions, designing can be as simple as everyday problem-solving, such as rearranging your room, but it can also become extremely complex, like software engineering. I've always naturally associated the term "design" with art-related professions such as interior design, but I see that it stretches far beyond my narrow perceptions.

As I read this description of the human-centered design paradigm, it reminded me of the "scientific method" that I learned about in elementary school. To me, it seems like the scientific process of observing, questioning, coming up with a hypothesis, experimenting, and arriving at a conclusion is very prevalent in this paradigm as well. I know that the scientific method is applicable in many cases, but I find it interesting how even in complex topics such as these, the basis of all these "paradigms" and formulas all wind up back to the same method.