71–80 of 82 posts
All I see on this page in my browser is a pulsing white circle in the middle of the screen. HN'ers do you see something else? Is it just me?
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But how do you know which interactions are useful to your business and which are not? How do you the right amount of flow through an area? What about the things you can't measure, but may matter to the health of your workers? I still don't see how knowing stair steps in isolation will generate any valuable insight. It's probably what the other commenter said. Trying to motivate people to use the elevator less
> But how do you know which interactions are useful to your business and which are not? How do you the right amount of flow through an area? What about the things you can't measure, but may matter to the health of your workers? For most people, using their experiences throughout their life as a perspective. Once you get into a new workplace, you can use those years of experience as a basis for perspective relative to…
But you admit, the data can only inform our intuition. Perhaps with more datapoints, and a rigorous platform for testing, we could use stair data to improve the workplace. But just giving us stair data doesn't make us any smarter. I'd say it makes us dumber. It creates a distraction. It makes us think we know more than we really do. It tempts us to see the problem in terms of stairs, when maybe the problem lies elsewhere (or maybe the stair steps are meaningless).
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Just to clarify: this dashboard was made as a sort of a joke :) The data is real but our idea was to make something completely uninteresting fun to watch. We don't use any of the data in a business or cost reduction perspective (although I have to say that the number of printouts makes me realize we could be more eco-friendly). Nothing here is a technological achievement per se, the fact that we brought all this toge…
While well done, this illustrates the pointlessness of the current focus of IoT applications. Getting a metric on how many times a door is opened, or how many times the toilet has been flushed has extremely limited usefulness for most people. I know you guys are simply using this for illustrative purposes, but I believe there is an army of developers out there looking to make all this happen...for what purpose, I do…
Look. It's a cup that tells you what you're drinking and records it. Why? I don't know. To lose weight? Why not just drink water? I don't know!
And it gets stupider from there. We have an obsession here with recording every little thing. That's great, if that data changes behavior. But some data just tells you what you already know, and stresses you out.
People in the 1st world have enough data. What we need is clarity! I want to retreat to a monastery sometimes.
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> But how do you know which interactions are useful to your business and which are not? How do you the right amount of flow through an area? What about the things you can't measure, but may matter to the health of your workers? For most people, using their experiences throughout their life as a perspective. Once you get into a new workplace, you can use those years of experience as a basis for perspective relative to…
I'm very interested in the studies on how people interact with their workspace. Thank you. But you admit, the data can only inform our intuition. Perhaps with more datapoints, and a rigorous platform for testing, we could use stair data to improve the workplace. But just giving us stair data doesn't make us any smarter. I'd say it makes us dumber. It creates a distraction. It makes us think we know more than we reall…
Partial data will only serve as a distraction if you allow it to. EDIT: If you falsely present partial data as important, yes, then it very well probably is distraction because by you are facilitating it to be a distraction by virtue of presenting thusly. As consciousness, you should try to be aware of inappropriately disproportionately presented data expressed by others in your environment and to not let it serve as a distraction to you as an observer. For example, Fox News and how it goes about its interactions displaying information (true information, false information, incomplete information, etc.) with the masses is a popular subject for case study in this type of scenario.
If you are aware that it is an incomplete picture, then you should be fine. Again, the more data, the better. Be aware of limitations and incomplete pictures. Be aware of context. Same old story of much everything in life. Always be exploring further. Always keep on questioning what's happening in the environment and the universe. Ignorance is bad. Of course, balance is needed. Pros are something that exist. Cons are something that exist. Things exist. Actions exist. Interactions between things and other things with actions exist. Systems of interaction exist. It's turtles all the way down. But yes, based on history, most humans fail at comprehending their own basic existence, their interactions with others, and anything else contained within their neck of the universe. Rather depressing actually. Nothing new here.
EDIT: As far as what belongs or doesn't belong on a dashboard, that would take a long time for me to discuss. In this particular example provided in the original posting, yes, it has various flaws. Not discussing that.
Also, with regard to "the more data, the better", yes, irrelevant data has negative consequences and must be dealt with accordingly. Of course, the a perspective exists where you should try to identify irrelevant data and not gather it to begin with. Conversely, there is a perspective where you should gather it all so as not to presumptuously exclude and that the data itself will tell you what is relevant and irrelevant during analysis. Both approaches express certain positive merits and also negative qualities. Identifying what is irrelevant and what is relevant has its own intricacies which are not discussed here in any relatively significant capacity.
Earlier quoted context omitted.
While well done, this illustrates the pointlessness of the current focus of IoT applications. Getting a metric on how many times a door is opened, or how many times the toilet has been flushed has extremely limited usefulness for most people. I know you guys are simply using this for illustrative purposes, but I believe there is an army of developers out there looking to make all this happen...for what purpose, I do…
There IS an army of developers waiting to make this happen. https://www.myvessyl.com/ Look. It's a cup that tells you what you're drinking and records it. Why? I don't know. To lose weight? Why not just drink water? I don't know! And it gets stupider from there. We have an obsession here with recording every little thing. That's great, if that data changes behavior. But some data just tells you what you already know,…
[1] http://www.fiftythree.com/paper
[2] http://www.fiftythree.com/pencil
Maybe this tech could be extended to create anti-drug cups en-masse for bars, or maybe use it for simple safe-water testing? Or what if diabetics could use it to test for sugar levels? Just speculating, I have no idea how it works though.
Earlier quoted context omitted.
I'm very interested in the studies on how people interact with their workspace. Thank you. But you admit, the data can only inform our intuition. Perhaps with more datapoints, and a rigorous platform for testing, we could use stair data to improve the workplace. But just giving us stair data doesn't make us any smarter. I'd say it makes us dumber. It creates a distraction. It makes us think we know more than we reall…
Such is the innate aspect of data gathering and analysis. The more (relevant) data, the better. (What determines relevancy is not discussed here for brevity.) Partial data will only serve as a distraction if you allow it to. EDIT: If you falsely present partial data as important, yes, then it very well probably is distraction because by you are facilitating it to be a distraction by virtue of presenting thusly. As co…
The more data the better - That's not true. Some data is better than others. Some data is poor quality. Some is unimportant.
Earlier quoted context omitted.
Such is the innate aspect of data gathering and analysis. The more (relevant) data, the better. (What determines relevancy is not discussed here for brevity.) Partial data will only serve as a distraction if you allow it to. EDIT: If you falsely present partial data as important, yes, then it very well probably is distraction because by you are facilitating it to be a distraction by virtue of presenting thusly. As co…
Partial data will serve as a distraction if you present it as important. I'm saying this doesn't belong on a dashboard. Granted, they just did this for fun. The more data the better - That's not true. Some data is better than others. Some data is poor quality. Some is unimportant.
If you ascribe to the importance of its display, then you are allowing it to be a distraction as an observer of the display. But, yes, in practice I agree that most humans are foolish and will allow it to serve as a distraction.
> I'm saying this doesn't belong on a dashboard. Granted, they just did this for fun.
Maybe or maybe not. There are definitely good reasons for removing it from the dashboard. I agree that it is not presented well. Outright permanent removal of the vague notion and concept of this particular data and its relevancy is a different matter. Exploring alternative presentations, getting more sensors and more relevant data, etc. (This is of course stating the obvious.) But I'm not really commenting on that at this time.
> The more data the better - That's not true. Some data is better than others. Some data is poor quality. Some is unimportant.
This is often debated with vigor on both sides (okay, there's actually a gradient of n-dimensional in-betweens, not explicit sides) of the argument. (Collect it all and figure out relevancy from analysis, then scale back data collection where it was determined to be irrelevant. Be presumptuous based on experience and collect only what you believe is relevant. Expand and contract collection periodically as something in-between. The list goes on and on and on and on of possible configurations and approaches.) Of course some data is better than others. Some data is more relevant than other data for a given operational context. And, yes of course, besides just relevancy, fundamental things like accuracy, precision, and error are all aspects of data collection and analysis. But, back on topic, both sides of the argument have merit. The reality is, like all things in life, there is a pragmatic balance point. (Not necessarily a point, though. In reality, usually an n-dimensional volume, but that's another topic.)
Earlier quoted context omitted.
There IS an army of developers waiting to make this happen. https://www.myvessyl.com/ Look. It's a cup that tells you what you're drinking and records it. Why? I don't know. To lose weight? Why not just drink water? I don't know! And it gets stupider from there. We have an obsession here with recording every little thing. That's great, if that data changes behavior. But some data just tells you what you already know,…
Don't forget paper [1] and pencil [2] to go with your cup! [1] http://www.fiftythree.com/paper [2] http://www.fiftythree.com/pencil Maybe this tech could be extended to create anti-drug cups en-masse for bars, or maybe use it for simple safe-water testing? Or what if diabetics could use it to test for sugar levels? Just speculating, I have no idea how it works though.
1. It can't detect date rape drugs. 2. It can't tell if your water is clean. 3. After detecting what you're drinking, it will tell you on average, how much sugar that drink has. Maybe that's useful for diabetics. Not sure. But it's not being marketed to diabetics. It's being marketed to tech people who like tracking things.
BTW, Love "Pencil". Especially this quote: "An artisanally crafted tool. The body is milled from a solid piece of premium-grade walnut that has met rigorous standards for sustainability. Each Pencil has a unique character that will subtly change with years of use."
Ha. Artisinally crafted. Walnut. Stylus.