Learning Launch - Augmented Reality for Remote Peer to Peer Support 

 Challenge 

 It should not come as a surprise that this reflection is influenced by COVID-19 ; the impact on 

 people and businesses world wide is hard to ignore .      My employer fabricates , amongst other things , materials essential to the production of 

 Personal Protective Equipment for Health Care Workers .      To ensure that our factory assets continue to function and produce material , we employ 

 several technicians and engineers , who are spread across our different locations and routinely 

 travel between sites to perform maintenance , provide training and support their colleagues .      Honoring and applying the many controls around social distancing and travel present unique 

 opportunities for innovation . We are focussing on developing solutions that allow our 

 engineers and technicians to continue working as before , and where not possible , support a 

 colleague in being able to perform the required actions at a safe distance . A key criteria is 

 finding solutions that can be quickly deployed and easily scaled .        Selection     We examined a few products over the course of a 2 week period and finally agreed on running 

 a ‘ Learning Launch ’ for an Augmented Reality based Product that allows direct annotation on a 

 live video , and also works with Google Glass like products , allowing personnel to keep their 

 hands free to perform a task while being in conversation with a colleague at the same time .      Application      For our tests , we limited ourselves to three sites - 2 with full operations and 1 remote Finishing 

 and Distribution Center .       We first listed down the general scenarios where the engineers and technicians interact with 

 each other over the course of the work day / work week . We also looked at where our experts 

 were based and how frequently they were contacted for support or needed to travel across to 

 other sites for maintenance , support or training .       With the scenarios identified , we proceeded to test the product ’s functionality across the sites , 

 starting simply with two parties just connecting and learning to use the tool and then moving 

 on to testing the features during actual maintenance cycles , with the Engineer / Expert ‘ looking 

 over the shoulder ’ and guiding the technician during the session by drawing on or marking 

 areas of interest or action . 

 Insights      By putting the product into play via the Learning Launch , we were able to test out the product ’s 

 perceived benefits   against our assumptions of its usefulness and value .      This exercise led to some very interesting insights : 

 ● While the product ’s performance on a mobile phone or tablet , even in low bandwidth 

 was quite impressive , it did not perform nearly as well when used in the Hands Free 

 mode . 

 ● Beyond the Engineer / Technician relationship , participants identified that the 

 product ’s functionality would prove useful for other stakeholders and departments as 

 well , possibly even with customers . 

 ● The product could even be used to address an initially unarticulated need where the 

 smaller sites did not have the full staff required to perform maintenance or cover 

 support for a 24 hour period . 

 While the benefits were obvious , working ‘ hands free ’ was a key criteria for tool selection and 

 the organization has decided to delay further action until such time that the vendor corrects 

 these issues and provides a more stable experience , something we are in conversation with 

 them over .      Conclusion     By using the Learning Launch , we were able to prove the benefits we expected the tool to 

 provide , while also getting a feel for how the product would work out in the field and get an 

 understanding of whether the product would become a part of the standard toolkit for our 

 Operations teams , even beyond the crisis .      Further launches are being planned as we wait for the vendor to make the changes we have 

 requested in the product ’s version for hands free use , as well as conversations with other 

 departments about use cases where this product might serve a purpose . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Learning Launch - Augmented Reality for Remote Peer to Peer Support 

 Challenge 

 It should not come as a surprise that this reflection is influenced by COVID-19 ; the impact on 

 people and businesses world wide is hard to ignore .      My employer fabricates , amongst other things , materials essential to the production of 

 Personal Protective Equipment for Health Care Workers .      To ensure that our factory assets continue to function and produce material , we employ 

 several technicians and engineers , who are spread across our different locations and routinely 

 travel between sites to perform maintenance , provide training and support their colleagues .      Honoring and applying the many controls around social distancing and travel present unique 

 opportunities for innovation . We are focussing on developing solutions that allow our 

 engineers and technicians to continue working as before , and where not possible , support a 

 colleague in being able to perform the required actions at a safe distance . A key criteria is 

 finding solutions that can be quickly deployed and easily scaled .        Selection     We examined a few products over the course of a 2 week period and finally agreed on running 

 a ‘ Learning Launch ’ for an Augmented Reality based Product that allows direct annotation on a 

 live video , and also works with Google Glass like products , allowing personnel to keep their 

 hands free to perform a task while being in conversation with a colleague at the same time .      Application      For our tests , we limited ourselves to three sites - 2 with full operations and 1 remote Finishing 

 and Distribution Center .       We first listed down the general scenarios where the engineers and technicians interact with 

 each other over the course of the work day / work week . We also looked at where our experts 

 were based and how frequently they were contacted for support or needed to travel across to 

 other sites for maintenance , support or training .       With the scenarios identified , we proceeded to test the product ’s functionality across the sites , 

 starting simply with two parties just connecting and learning to use the tool and then moving 

 on to testing the features during actual maintenance cycles , with the Engineer / Expert ‘ looking 

 over the shoulder ’ and guiding the technician during the session by drawing on or marking 

 areas of interest or action . 

 Insights      By putting the product into play via the Learning Launch , we were able to test out the product ’s 

 perceived benefits   against our assumptions of its usefulness and value .      This exercise led to some very interesting insights : 

 ● While the product ’s performance on a mobile phone or tablet , even in low bandwidth 

 was quite impressive , it did not perform nearly as well when used in the Hands Free 

 mode . 

 ● Beyond the Engineer / Technician relationship , participants identified that the 

 product ’s functionality would prove useful for other stakeholders and departments as 

 well , possibly even with customers . 

 ● The product could even be used to address an initially unarticulated need where the 

 smaller sites did not have the full staff required to perform maintenance or cover 

 support for a 24 hour period . 

 While the benefits were obvious , working ‘ hands free ’ was a key criteria for tool selection and 

 the organization has decided to delay further action until such time that the vendor corrects 

 these issues and provides a more stable experience , something we are in conversation with 

 them over .      Conclusion     By using the Learning Launch , we were able to prove the benefits we expected the tool to 

 provide , while also getting a feel for how the product would work out in the field and get an 

 understanding of whether the product would become a part of the standard toolkit for our 

 Operations teams , even beyond the crisis .      Further launches are being planned as we wait for the vendor to make the changes we have 

 requested in the product ’s version for hands free use , as well as conversations with other 

 departments about use cases where this product might serve a purpose .
### Output: 