For starters this class is not what I expected it to be, not in a bad way just very different. When we came together with computer science kids I thought we would learn a little more about what they did and they would learn a little more about industrial design. I believe the time constraints did not make that possible. Instead, we both used the strengths we already had for the final projects, which as I said before was not a bad thing but rather different than what I expected. It might have been fun to switch up the roles even if the work quality would have taken a hit. Regardless of that, I think the class has a lot of value and potential for both ID and CS. With a few tweaks it could be even better than it was this year.

As for the final project, I loved working on something I am passionate about for the industry I want to be in. What I did wish was that there was more time to round out the idea and make a working prototype. Had we been able to make this system really work, I think CLIC could have been that much more. Even so, my group was awesome to work with – everyone was on top of their stuff so there were no all – nighters or issues with someone not doing enough. We all worked so well together. Overall I’m happy with our final deliverable and that we were able to express our idea in a way that everyone was able to understand.

Group Project Idea – Cosmetic Scanner

Retail 2.0

“The consumer has demonstrated a very high capacity to try and use multiple brands and that tendency seems to be growing over time.”

A recent poll found that the number of people who would rather reach for their smart phones for a quick check on a product’s reputation or price comparison rather than ask the salesperson has reached 58 percent.”

“Most purchases are planned — the buyer now goes in knowing what she wants at least 70 percent of the time.”

This DIY research boosts buying confidence and helps match product expectations with reality.

The Way We Buy Beauty Now

Problem Statement:

How do we improve a cosmetic retail experience while educating the user on their needs and the products available?

Design Prompts:

  • How can we personalize the process of buying cosmetic products?
  • How can we open consumers up to all of the products out there?
  • How can we bring product recommendations into the home?
  • How can we design a process that takes intimidation out of the cosmetic shopping experience?

Reading Comments

Artificial Intelligence as a New Design Material

It never really occurred to me to think of AI in a way that reflects the human brain. Connecting “neurons” and allowing machines to react as though they have their own brain is a really interesting concept. It still amazes me that technology like this is among us today and implemented into our every day lives. It is even more astounding that people won’t need to be as educated (for lack of a better term) on how to create this kind of software. While it can’t replace human-to-human contact, there are aspects that can control how we interact with people. As AI grows we see it taking effect on how humans interact, not sure if this is a good or bad thing – it just seems like an interesting point.


UX Design Innovation: Challenges for Working with Machine Learning as a Design Material

Machine learning honestly scares me. This notion of going UX and Machine learning gets me thinking about why? Why do we need to rely on a machine, app, or software, to ease the use of our every day objects? Is it so important that we have apps that can predict what we need next? It might just be me who thinks this way, but from discussions in class and articles such as this one I think it’s definitely something for debate. It seems like we as humans want to be able to have it all done for us – make it easy, make it the least amount of effort possible. Its one thing to have this for certain industries like medicine and such, but do you really need your grub hub app to tell you what to get for dinner? The reliance on technology has gotten out of hand, and while this article makes good points, why is this all so necessary?


Machines Learning Culture

It is an interesting thing to think about machine learning as being integrated with visual arts. It seems more natural to have it associated (with or without bias) in a movie because movies allow for our imaginations to take a hold of us. This is where even if something hasn’t been done yet, we can stretch the truth on what is already out there – this gives the public more of something to grasp onto, something they can see an understand. Where as graphic and contemporary art/installations make it more difficult to process in my opinion. Seeing a hand being augmented real time is definitely memorable, but not so much totally educational – it’s hard to tell why it is happening. Both of these ways of integrating the idea of machine learning present different ways of educating society on the subject – and it’s really interesting to think about what is more successful and why.

Ideas for Term Project

1. Sensing Infrastructure

  • A way to connect people about projects in the community
  • Communication between professors and students
  • Interviewing process for students looking for jobs in different states
  • Place Identifier (Shazam for places)
  • Maybe a way to make museums and national parks more engaging with children
    • An AR game app where kids have a scavenger hunt throughout the museum

2. Retail 2.0

  • Apps to help shoppers find what they are looking for
  • Scanner to scan internet for deals when you are shopping in store or online
  • Cosmetic app that tells you how to use products and what products are good for you
  • Finding your size on online shopping
  • Something to make shopping more fun or engaging?

3. Design for Disability

  • Calming mechanism for panic/anxiety attacks
  • Sleep aids for insomnia
  • Glasses for color blindness
  • Home system for people with dementia to help them go through their day.

4. Sharing Transactions

  • Wireless card readers (like the pins for dorms)
  • Classroom online platforms that actually work and keep people organized


This list was devised by Lily Bloomberg, Sarah Lee, Jordyn Anderson, and Andrew Gibson.

Readings for 1/26/18

The Engineering of Experience – Sengers

The need for efficiency in the world of technology has been the driving force of innovation according to this article. What was interesting about this piece was the recognition of the fact that efficiency is not the end-all-be-all of good design. Humans are complex creatures and what might be efficient to one person mind may not be the same in someone else’s. The article acknowledges the fact that in creating an experience for humans we need to consider efficiency for sure, but also other things humans might want. Ultimately we want an experience, something to remember, and something that eases our way of life or adds something to it. Just like in the article how they mentioned enforcing different ways for a household to be more “efficient” and it totally failed – some people weren’t into such structured home lives. There are memories to be made when watching kids or doing household chores, you just never know. Making it a step by step plan on how to live your life take a lot of the adventure out of it. I definitely think its important to aid people with technology and not overpower them. As CS and ID Ibelieve we have the power to create something that allows people to be efficient but also able to live freely.


Making Sense of Experience – Blythe

The article threw a ton of information at you about experience design. To be very honest, I never realized just how in depth the research goes. Not only does there need to be an understanding of how someone experiences the design but there are levels to it – and then there is a whole other aspect of designing the experience for after using the product/app. It felt overwhelming in the sense that there really was so much research and testing that goes into each platform and gave a new appreciation for the world of tech around me. It take brain power and much collaboration to get a very clear image on how to make a platform work for so many different kinds of people, and not only that but to expect millions of people to all understand how to use and enjoy it. It never seemed like an easy task, but this article definitely put the depth of UX design into perspective.