#dataobject

미처 몰랐던 DataOject의 족보

수 년간 VBA 프로그래밍을 하면서 , 클립보드 핸들링은 늘 DataObject 를 이용해왔다. 오래 간만에 이 넘을 써먹을려니, 변수선언부터 이상했다.  ‘Dim d As’까지 치면 사용가능한 데이터 타입이 나오는 데, 아무리 봐도 DataObject가 보이질 않는다. 혹시 비운의 Application.FileSearch처럼 2007 또는 2010 버전에서 사라졌나? 이거 없다면 API함수까지 동원해야 하나? 구글링을 통해 알아보니 다행히 사라지진 않았다. 다만 이것은 Userform 개체의 하위개체이므로 프로젝트에 Userform을 추가하여, ‘Microsoft Forms 2.0 Object Library’가 참조되도록 해주어야 한다. Collection개체처럼 기본메뉴인줄 알았다. 그나저나 뭐…

Group 1: A-, A, B+ This groups project, in my opinion, was very good, it was creative and perfectly me the brief although I feel as if they could have blogged more as I feel like there was a lot of information missing.  Group 2: A, A+, B This was another great project, in fact, I personally believe this project was easily the best out of everyone's, you can tell a lot of thought was put into being as creative as possible while also meeting the brief. But like the last project, I could see that this student could have blogged more, I didn’t see nearly as much information on the blog as much as they presented, they obviously had thought everything through, just didn’t blog very much.  Group 3: A, A-, B I really enjoyed this data object, it was creative and efficiently showed their data and you could easily tell what they were showing just be viewing their data object. This was one of the best that was presented and I found it creative. They 100% met the brief, but again the blog didn’t have as much as I expected, although there was still a pretty good amount of information!  Self Evaluation: Learning outcome 1: B Although our end product was nowhere near the end product we had hoped for, we demonstrated engagement with the creative process very efficiently as we prototyped every single day with different kinds of data objects/different ways to do them. Our final project definitely not the best but we learned a lot throughout the entire process and gained knowledge of many things and learnt what we are bad at so that in the future we can strive as individuals and work towards a better final outcome. It is very possible that we could have used more creative methods to ensure that our soap data object could have worked and this is why I have chosen a B. Although we prototyped a lot, we may have been doing the same ideas repetitively rather than doing a greater amount of research so we could use creative methods to solve the problem, instead we gave up and went for an easier data object which thinking back would have been us not being as creative as we SHOULD’VE been. Learning outcome 2: A Even though we resorted to using stress balls, a somewhat easier option for us to present, we put a lot of thought and effort into this. We efficiently explained our changes and why these occurred so we could show our data object in the best possible way. We had many problems and roadblocks throughout this project that it had changed and somewhat evolved so much we had difficulty explaining and showing every single change. All of our prototypes we had thought of we definitely took the brief into consideration, many times over someone would suggest an idea which someone else would reply “that doesn’t fit the brief, what can we change about this idea so it fits the brief?” If you take all of our prototypes into consideration, you will see as a group we applied critical thinking skills so we could fit the brief.  Learning outcome 3: B+ A common thing I have seen by looking at other BCT students blogs is that not many people have actually posted that many blogs which is very surprising to me, I kept panicking that I hadn’t poster enough even though I have posted every single class and every single time my group has met up - I am just worried maybe I haven’t posted in as much detail as I should’ve to efficiently communicate my groups project intentions and outcomes. If I was to go back, I would make notes on my phone throughout the day so when I blog later in the day I would be able to add on to all of these notes, I feel if I did this for this project then I wouldn’t have struggled as much as I did to write things down which would help show decisions in our project. This is something I will do in future projects and I am sure it will help.  Final thoughts: In general, after presenting our project and seeing other groups present theirs, I was embarrassed to present our data object. I’m disappointed in my self and my group that we weren’t able to have a better data object by the end of this, I do believe that if we didn’t have a 2 week holiday in between then I’m sure we would have a much better project. This holiday caused everything to be awkward and complicated with different group members going away at different times. Once we finished presenting all these amazing ideas started popping up in my head but sadly it was already too late, we had already finished and these ideas were pointless. Next project will be an interesting one for me as I have learned a lot from this project, and I would like to think I have learnt many ways that I can improve myself and improve whatever project I am working on. 

This project was a collaboration between:

Ashton Smith

Isabella Royal

Laura Gilberd

Ciara Robinson Huggins

Patricia Chan

Astarlii Taokia

Today was our final day, and surprisingly we actually finished in time. Obviously, we can all agree that if we had more time our project would be 100x better but at least we have something. We went around and got some feedback for our original stress balls and this is some of the feedback we received:  Test 1: Scared the stress ball will pop, curious as to what is inside the ball, can feel a difference in the stress balls but not as much, they also misunderstood the size as the data set instead of the squishiness of the ball, it makes them feel a sense of relief if they play with it continuously and they all wanted to play with the stress ball so it encouraged interactivity TEST 2: Also curious as to what was inside, one was confused as to why certain stress balls were this particular colour with dots, also was more concerned for the ball popping when they were playing with it, also could feel a slight difference but not a significant one TEST 3: Thought it was a good way to de-stress, also experienced a small difference but not a significant one, and also concerned as to the ball going to pop and what was inside it Overall, people were very anxious about the ball popping, they enjoyed playing with them but when playing with them did not feel a much of a difference, was very curious as to what was inside. After being told what the balls represent, people were curious as to why they are represented this way and what the colour also represents (Astar Taokia, 2019) Isabella and I came up with the idea of filling a balloon with water to make it bigger which would represent the US and NZ population - filling the US balloon with 327ml’s of water and the NZ balloon with 4ml’s of water. This prototype failed but gave us the idea to instead shove a stress ball inside of another balloon and then blow it up. 1 breath is the equivalent of 10 million, meaning the US balloon would have 32 breaths inside it and the NZ would have 1/4 of a breath. Here’s me with a failed prototype:

Here’s Isabella and I with a somewhat finished prototype with our final idea:

This picture is our prototypes with water:

This next picture is our final prototype with air:

Holidays Work

Before the holidays we finished most of the strings we needed to do and also a few heads but we still had a bit of work to do over the holiday break.

So, we have finally decided on a decent dataset idea for our final project, I hope. Initially, we had prototyped both our own prototypes and for the honey bee concept - we have brainstormed ideas, some of which were obvious and others that need to be interpreted or understood. After numerous ideas and creating low-fidelity models on ideas that we would have to physically produce and possibly spend a bit on, but now we have chosen to do our project on an existent object but add some sort of measuring twist onto it. I don’t mind the idea - after all, we had little choice on a data object that will not cost an arm and a leg, and as time-consuming. Although, we would much rather prefer making the honey dipper. I am keen to get out of my comfort-zone and try to learn the art of woodworks, as are my group, but I suppose there isn’t enough to proceed with it and as Yvonne said, we had to kill that idea and think of different concepts, easier concepts to create. 

So, we have been testing the melting and burning process of the candlesticks so far and the flexibility of the candles once they’ve dried up and hardened. We still have a bit of work to do in terms of design and the visual appeal, because as of now, our dataset project will pretty much be presented through a time-lapse video recording the candles burning until they reach the point where the wick is cut off and therefore shows a series of candles making up a graph. Theres nothing too special yet. Since Josiah and I have more experience in design, we will be considering that, as well as brainstorming ideas for its appearance. We could consider the colours, shapes, sizing and overall, the ‘aesthetic appeal’. 

Elil & Robert : Continuing the prototype testing with the candles.

David: Dataset and number conversion for the actual measurements.

Josiah and I: Considering the design elements and visuals. How the viewers can not only visualise the graph but experience, too.

Ethan: Sketching more design concepts and ideas.

While trialing the candlestick prototype, we also attempted to prototype with the bottle idea. Elil and David drilled some holes into the bottle in different sizes to show the dataset of each year with e.g NZ honey production. They only spent a little while doing this but our priority was the candlestick prototyping. This idea is merely our plan B and a back up plan to fall back on incase the candles don’t go according to plan. (Although, we are pretty confident in the idea as of now.) We thought maybe trialing with the bottle, we’d understand the mechanics of this idea and what to do, what not to do, with Krishna’s help, before going into the holidays and rather having no experience with the lab tools. The two first attempts at drilling holes into it, the hole was roughly cut and a bit messy. The third and fourth tries, the outcomes were cleaner and smoother. 

Essentially, we would pour honey or an alternative substance, into a plastic bottle, with holes drilled into the bottom five stands and the honey would drip out into five jars and display the dataset of honey production according to the amount in each jar.