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jdaigleprocess-blog · 6 years ago

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Group Brainstorming and Debriefing

For our brainstorming session, we followed a very similar approach as to what we did in the class brainstorming activity. We revisited our list of 1 how might we questions, and as a group highlighted which of these we found most interesting or fruitful. From there, we each committed to remotely brainstorming for 15 minutes on each of the highlighted ideation prompts, and then another 15 minutes reflecting and giving feedback on the results once they were all in. We used google docs and slack as our main communication and brainstorming platforms- where we could begin live editing on the google doc while multiple of us were on the same document. We were able to hash out our thoughts after both in the google doc and through slack, where we shared our main concerns, or judgements, about the brainstorming results. Next, we went back in and reorganized our thoughts into a more categorical visual display. I found this ideation exercise exciting to come up with as many ideas as possible, and also a bit challenging. I found myself trying to go over the time limit or still pondering questions after I had already moved on. One thing that was kinda funny and weird during my reflection stage of this step, was that I said outloud in my apartment ‘why are phones more dangerous with data security than my google home ? Is it proximity?’ To which my google home responds ‘yes’ from the corner of my room. Perhaps she was brainstorming with me!

In reflecting on the exercise a day or two after completion, I am kind of caught up in the idea that some of the solutions posed strayed away from the ideation prompt. I found myself in this problem a few times, where I would come up with as many possible distribution ideas but then none of those would actually relate to Internet of Things. One take away is how vital it is to keep the prompt in front of us at all times during this process, so as to be constantly reminded. My favorite idea out of these so far is the mobile app that’s a personal assistant/ teacher to IoT and data security. Another is finding a way to parcel data created from IoT devices (let’s say google home alarm sleep schedule, or stating that you have run out of milk, to then have those voice commands integrated with mobile apps to automatically send milk your way, to analyze your sleep cycle in the health app, etc.) In essence, this idea is to integrate voice recognition, on demand delivery and convenience services, and smart phone interfaces to make our smart devices incredible more smart.

Below you can find a transcript of our ideation brainstorming session:

IoT Core definition:

as we ideate to have a macro view of topic we chose considering privacy/security issues

An IoT device is distinguished by being identified as a "Physical Object" ( not a person ) embedded with "Network Connectivity" (sensors, electronics) that enables "Data Exchange" (collection of information, data transfer & storage). Categories for the devices can include Consumer, Commercial, Industrial and Infrastructure and they are developed to make access to information ( via a wearable or Smart Home device) more convenient and readily accessible.

How might individuals gain access to their data:

JSON FILES

Color maps *

Emojis

Different type of data visualizations **

Based on pop culture

Based on your Soc

2 step verification

Maybe have to go to the town center every city has one to become a smart city **

Thumb print scanner

Based on your dna (insert a drop of blood) **

Housed in your amazon account

Data must be able to be digestible by smartphones

Government provided smartphones

Data libraries

Phone app that comes with smart phones with data access - *** Jenean

API

Self scanners at grocery stores *

ATMs

Making everything open-source

everytime a piece of data is produced, it is uploaded onto a public server

Treat data like puzzle pieces

reimagine data as a collective unit rather than individually focused

World atlas or like database of every individual’s data… registered into database with a device’s first use of internet.. Collective storing after

Legal protection.. Companies must distribute to each customer unless opted out *

Regulation of data access

Unlocking said data through fingerprints or eyescans

Everyone should be able to request to download their data

Cameras on devices

Notifications if you are sharing an alarming amount of data *

Piggybacking… notifications for each time data is shared with another company/user

A service that can delete your data across multiple devices

An app that helps you manage how and where you share your data **

Access to the data

We were looking at it from 2 different ways to have companies/governments to allow access to the data that they were using in their companies. And then on the other side of the spectrum

Looking into opting out of information but in a layer by layer that type of situation

Making it as digestible as possible. Imagine if privacy policies, or credit card statements, or mortgages where in a digestible format.

transparency/public

Pushing for an informed opinion

*Ooh guys just thought of an interesting example…. my current renters insurance is an app that is named maya and she tells me all the legal stuff of my policy in a texting format and i respond like ‘ tell me more’ and she explains in greater detail - Jaime *

Very Interesting ~Jenean

^^Love this, I could’ve definitely used Maya during my move out process lol (Johnnie)

Control our tracking settings on our devices

VPN

In private browsing/incognito

Restrict purchasing of user data

Notify users of their data being sold

Data exchange database

Increased encryption standards

Distributed file systems

Use Data receipts (public key cryptography)

Automatically delete data

Reapproaching cloud storage

Removing data collection

Scheduled data releases

Api integration

Application interfacing with what you say

Parce all the data into segments for Specific uses (connecting voice commands with mobile apps, order triggers, safety resources, scheduling and productivity apps) and distribute the segments separately like Blockchain… no one resource has access to entirety

Treat data like iTunes library/ App Store

scheduled data clearings

Data expiration and permanent deletions across all that have access

Lack of interface on IoT device could lead to something being hacked and you don’t know*

Distributing data through new or different media than the standard

Creating new file types that are locked to specific devices

DNA based

Physical record of data

Combining encryption with messaging platforms

Various servers for specific users and have them be checked out

Updated hardware to turn commercial grade into consumer grade

Intranets of various types of data

Using computer vision to move away from source code

Getting rid of the code

How can we have these devices be digital but not survive on code (to avoid hacking)

Each device creating its own coding language so no other computer could read it

Have the device man all the data usage

Jumbling up code after each data production

Provide examples of how companies are using their data to sell them different products

Requiring hover messages over everything that you click that states this gives companies this information about you

Showing the implications of actions like (this page would like to track your location), or saying that if you allow uber to track you when you are not on the app then they will use this to raise rates on your area

Letting users know when different data streams are commingled into information that is being used

How to implement web trackers into your handheld devices(there are different chrome extensions that show what type of cookies are tracking you and what type of data they are transmitting. Why isn’t something like that for mobile)

Push notifications on distribution

Incorporating transparency of data distribution in voice/messaging

Amber alert like messages when a breach occurs

Visualization of where data is housed, where its been sent/who has access (pie chart like slice)

Eguides about data sharing

Data encryption education

A website teaching users about what type of data companies are collecting and teaching how to opt out

Data-use fireside talks sponsored by companies big in data analytics

Hack-Athons put on by common mobile app companies

Infographic videos walking through use of specific data

Taking data use like a narrative journey… comic book stories of the journey, magic school bus

*why were phone books ok but sharing your other info scares people*

Sending transactional emails with each distribution

Transparent reporting of breaches

Phones carry more personal data than any other device

Once we download an apd we should have to double opt in to sharing data. Meaning once they ask uber wants to share your location and then they ask are you sure uber can now do XYZ click confirm to share this data

How do we fight robo callers/ robo texters

It is soo easy to click on a phishing link on your phone versus any other IOT device

We need to be able to protect ourselves from public wifi problems

Can almost always locate a person by their cell phone

Browsers are set to normal browsing… private mode not always accessible

Phones are a main device for communication

If not on wifi, they are consistently connected to cellular network..exposure

Proximity*

Because of phone logs

oversight

Traceable

Most mobile apps are connected to internet/ cellular connection

You have to give your phone number away for so many signups

Same with email, which many have connected to their phone

Frequent reminders that an app is using specific information… you have been sharing your location with ____ for 2 weeks. Would you like to continue sharing your location?

How might the government regulate the collection of data from IOT technology?

How might we use blockchain for better data privacy

How might Smart cities utilize bluetooth/wifi/QR/etc. to collect data more securely

How might the government become more strategic in their leadership on how to use IoT

funding to modernize IT infrastructure to enable IoT projects

How might we leverage the advance of sensor technology make data more safe

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