e boarding in their respective flight . 

 How do people travel ? 

 To design What 's Next , we first looked at how people travel to foreign countries for holidays .   Then we analysed wait times at the airport . We decomposed passengers journey to determine   which moment was the most pertinent for our concept .     More than 1.1 billion tourists travelled in 2014 . That 's 5 % more than the previous year . Each   day , around 80.000 flights take off and land accross the world . Those figures are gigantic .   But , how do people travel ? How do they plan and organise their holidays in a foreign   country ? 

 Travelling for pleasure implies planning and a bit of preparation ( discovery of a city or a   country for instance ) . There is an infinite number of traveller profiles , ranging from the less   prepared ( zero planning ) to the most methodic ( pre booked restaurants etc ) . Most passengers   are between these two extremes and there are also exterior factors which may affect this   amount of planning - travelling with children , for example . 

 From unprepared to overprepared holidays 

 Yet , we noticed that throughout passengers in all of the above categories it is frequent that the   few hours following their arrival are not planned at all . After they drop their luggage off at   the hotel or at their Airbnb appartment , there is often an undefined period before they can   start their planned activities . Let 's look at an example : 

 o Pierre lands in Berlin at 11 am with two friends . They planned to visit the Altes 

 museum in the afternoon . 

 o They arrive at their hotel at 12.30am . They 've planned to visit the museum after 

 eating . Yet , they do n't know any cool place to eat and have n't check in any guide book 

 Obviously there are a myriad of situations like this where tourists need some help to find   micro activities before starting their anticipated trip . Considering this , we started to look at   how people wait at airports and if we can find a situation where we could help them   anticipate the hours following their arrival . 

 We 've all been waiting 

 Everyone knows what it ’s like to be stuck in airport surrounded by people speaking a foreign   language . We have all been , at some point , forced to hang around in an airport for an hour   and more , and there are several reasons for this . When flying abroad , we are obliged to get to   the airport in advance because of the security and custom controls , which can occupy broad   and undefined periods of time . Some travellers are cautious and take extreme precautions to   get on time . Having made it through this step , we can sometimes be met with unexpected   delays or dreaded cancellations 

 Waiting vs. waiting 

 We started to analyse and distinguish the different kind of waiting times there are in an   airport . Looking to spot the most suitable moment for a digital product . 

 We looked at each wait time to determine the context , the attitude of passenger , what they 

 might feel , and what they have to look after etc . 

 We distinguished several moments where passengers are forced to wait beginning on the way   to the airport , if there is some traffic . It continues with the checking where passenger can end   up queuing if boarding a popular flight . Then passengers have to line up at security   checkpoints and if their are flying abroad they have to pass through customs . Finally   passengers have to wait for the boarding to start , all of this can add up to a lot of hours   standing in line . 

 We also noticed that in each waiting situation , we enter a certain emotional state . We focused   our analysis on two particular emotions which seemed significant to us : stress and pleasure .   Stressful and irritating situations are not compatible with the use of a public installation . It is   only possible when people feel comfortable and do not experience extreme feelings . A state   of excitement , above all when it is shared among a group , a family or between a couple   can not be interrupted . Passengers would miss the chance to benefit from our service . We   were looking for a moment where emotion are relatively flat or neutral , in order to engage   most with passengers . 

 Stress and pleasure 

 We deconstructed and analysed each of these waiting periods to determine the level of stress   or excitement . It helped us determine which moments were significant four the project . 

 STRESS 

 When arriving at an airport , passengers feel a lack of controls . They have to follow   instructions and procedures that can even change at the last minute . It entices many   passengers to react with a stress response . 

 PLEASURE / EXCITEMENT 

 Pleasing situations are quite rare in airports , but people travelling for holidays , might   experience some pleasure , especially in groups ( friends , family ) . For instance , the take off is   often an exciting moment . 

 We decided upon a compatible situation for our digital product : before boarding ( and to   some extent also when waiting to retreive luggage ) . So we looked into the details of how   people wait in airport to see if we could help people better spend this time . 

 How do people wait before boarding ? 

 When passengers are done with check in and have been through controls and custom , they   must wait to board . Here is when people generally tend to distract themeselves . When we   asked friends and family , what they do when they wait for a flight , we observed a striking   pattern in their responses . Most of the time , passengers follow a kind of ritual . They start by   browsing a shop , buying a newspaper / magazine , or some duty - free products . Then ,   eventually , depending on time , buy food . In general , passengers fill their time as follows : 

 Summurizing all into personas 

 We gathered and formalized our findings into personas . We built these to communicate our   findings easily and to determine the functional scope of our product . We used some statistical   documentation such as the National survey of airline passengers published each year since   2009 by the french government . We tried to define the environment and the context of   travellers as much as possible . This included : 

 o the stress level they were experiencing ( high or low )   o their attitude ( whether it is positive or negative )   o the amount of time they had before boarding on their plane .   o whether they were expecting some airport services or not , etc . 

 Our airport installation 

 The way people travel and our analysis of wait times in airports led us to imagine “ What ’s   Next ” . We wanted a product that could suggest relevant accomodation / activities based on   arrival time . It should be able to deliver useful information for all passengers , no matter their   destination . 

 We worked on the scenography ( stage design ) and how the airport space can be used to serve   our project . We wanted our installation to intergrate seamlessly into passengers ' flow towards   boarding . 

 Suggest vs. search 

 For instance , Tripadvisor.com is mostly used as a search engine . Yet our goal was to provide   suggestions and help passengers find quickly what to do when they arrive . We needed to   know both the destination and the arrival time of passengers . 

 We imagined a scan system that would read these information on the boarding pass ( thanks to   the scan code ) . This allows the user to interact with our product without the hassle of 

 manually inputing their travel details . We also offered a free world exploration to passengers   who might simply be browsing . 

 Defining a suggestion system 

 Based on the arrival time of the passenger we wanted to suggest the most suitable activities .   For instance , a family landing at Berlin around 11 am , might be looking for a restaurant . In   constrast , a group of friends landing at 9 pm might be looking for bars to have fun . The rules   we defined would have evolved and learned from passengers and from data it gathers . 

 Saving suggestions 

 One tricky part was to think of a system allowing users to take away suggestions . Obviously   people flying aboard , or in a foreign country do n’t have a mobile connection and internet   access . For those passengers , we imagined a ticket printing system that would list the saved   items . We also thought of an sms functionnality that could text you the place you 've   bookmarked , as well as a bluetooth sync system for users that have the mobile app . 

 Reminding passengers to board on gate 

 At last , we also thought it would be nice feature that would alert the userto board ahead of   time and to quickly print its list of saved items . This would prevent users from missing . 


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: e boarding in their respective flight . 

 How do people travel ? 

 To design What 's Next , we first looked at how people travel to foreign countries for holidays .   Then we analysed wait times at the airport . We decomposed passengers journey to determine   which moment was the most pertinent for our concept .     More than 1.1 billion tourists travelled in 2014 . That 's 5 % more than the previous year . Each   day , around 80.000 flights take off and land accross the world . Those figures are gigantic .   But , how do people travel ? How do they plan and organise their holidays in a foreign   country ? 

 Travelling for pleasure implies planning and a bit of preparation ( discovery of a city or a   country for instance ) . There is an infinite number of traveller profiles , ranging from the less   prepared ( zero planning ) to the most methodic ( pre booked restaurants etc ) . Most passengers   are between these two extremes and there are also exterior factors which may affect this   amount of planning - travelling with children , for example . 

 From unprepared to overprepared holidays 

 Yet , we noticed that throughout passengers in all of the above categories it is frequent that the   few hours following their arrival are not planned at all . After they drop their luggage off at   the hotel or at their Airbnb appartment , there is often an undefined period before they can   start their planned activities . Let 's look at an example : 

 o Pierre lands in Berlin at 11 am with two friends . They planned to visit the Altes 

 museum in the afternoon . 

 o They arrive at their hotel at 12.30am . They 've planned to visit the museum after 

 eating . Yet , they do n't know any cool place to eat and have n't check in any guide book 

 Obviously there are a myriad of situations like this where tourists need some help to find   micro activities before starting their anticipated trip . Considering this , we started to look at   how people wait at airports and if we can find a situation where we could help them   anticipate the hours following their arrival . 

 We 've all been waiting 

 Everyone knows what it ’s like to be stuck in airport surrounded by people speaking a foreign   language . We have all been , at some point , forced to hang around in an airport for an hour   and more , and there are several reasons for this . When flying abroad , we are obliged to get to   the airport in advance because of the security and custom controls , which can occupy broad   and undefined periods of time . Some travellers are cautious and take extreme precautions to   get on time . Having made it through this step , we can sometimes be met with unexpected   delays or dreaded cancellations 

 Waiting vs. waiting 

 We started to analyse and distinguish the different kind of waiting times there are in an   airport . Looking to spot the most suitable moment for a digital product . 

 We looked at each wait time to determine the context , the attitude of passenger , what they 

 might feel , and what they have to look after etc . 

 We distinguished several moments where passengers are forced to wait beginning on the way   to the airport , if there is some traffic . It continues with the checking where passenger can end   up queuing if boarding a popular flight . Then passengers have to line up at security   checkpoints and if their are flying abroad they have to pass through customs . Finally   passengers have to wait for the boarding to start , all of this can add up to a lot of hours   standing in line . 

 We also noticed that in each waiting situation , we enter a certain emotional state . We focused   our analysis on two particular emotions which seemed significant to us : stress and pleasure .   Stressful and irritating situations are not compatible with the use of a public installation . It is   only possible when people feel comfortable and do not experience extreme feelings . A state   of excitement , above all when it is shared among a group , a family or between a couple   can not be interrupted . Passengers would miss the chance to benefit from our service . We   were looking for a moment where emotion are relatively flat or neutral , in order to engage   most with passengers . 

 Stress and pleasure 

 We deconstructed and analysed each of these waiting periods to determine the level of stress   or excitement . It helped us determine which moments were significant four the project . 

 STRESS 

 When arriving at an airport , passengers feel a lack of controls . They have to follow   instructions and procedures that can even change at the last minute . It entices many   passengers to react with a stress response . 

 PLEASURE / EXCITEMENT 

 Pleasing situations are quite rare in airports , but people travelling for holidays , might   experience some pleasure , especially in groups ( friends , family ) . For instance , the take off is   often an exciting moment . 

 We decided upon a compatible situation for our digital product : before boarding ( and to   some extent also when waiting to retreive luggage ) . So we looked into the details of how   people wait in airport to see if we could help people better spend this time . 

 How do people wait before boarding ? 

 When passengers are done with check in and have been through controls and custom , they   must wait to board . Here is when people generally tend to distract themeselves . When we   asked friends and family , what they do when they wait for a flight , we observed a striking   pattern in their responses . Most of the time , passengers follow a kind of ritual . They start by   browsing a shop , buying a newspaper / magazine , or some duty - free products . Then ,   eventually , depending on time , buy food . In general , passengers fill their time as follows : 

 Summurizing all into personas 

 We gathered and formalized our findings into personas . We built these to communicate our   findings easily and to determine the functional scope of our product . We used some statistical   documentation such as the National survey of airline passengers published each year since   2009 by the french government . We tried to define the environment and the context of   travellers as much as possible . This included : 

 o the stress level they were experiencing ( high or low )   o their attitude ( whether it is positive or negative )   o the amount of time they had before boarding on their plane .   o whether they were expecting some airport services or not , etc . 

 Our airport installation 

 The way people travel and our analysis of wait times in airports led us to imagine “ What ’s   Next ” . We wanted a product that could suggest relevant accomodation / activities based on   arrival time . It should be able to deliver useful information for all passengers , no matter their   destination . 

 We worked on the scenography ( stage design ) and how the airport space can be used to serve   our project . We wanted our installation to intergrate seamlessly into passengers ' flow towards   boarding . 

 Suggest vs. search 

 For instance , Tripadvisor.com is mostly used as a search engine . Yet our goal was to provide   suggestions and help passengers find quickly what to do when they arrive . We needed to   know both the destination and the arrival time of passengers . 

 We imagined a scan system that would read these information on the boarding pass ( thanks to   the scan code ) . This allows the user to interact with our product without the hassle of 

 manually inputing their travel details . We also offered a free world exploration to passengers   who might simply be browsing . 

 Defining a suggestion system 

 Based on the arrival time of the passenger we wanted to suggest the most suitable activities .   For instance , a family landing at Berlin around 11 am , might be looking for a restaurant . In   constrast , a group of friends landing at 9 pm might be looking for bars to have fun . The rules   we defined would have evolved and learned from passengers and from data it gathers . 

 Saving suggestions 

 One tricky part was to think of a system allowing users to take away suggestions . Obviously   people flying aboard , or in a foreign country do n’t have a mobile connection and internet   access . For those passengers , we imagined a ticket printing system that would list the saved   items . We also thought of an sms functionnality that could text you the place you 've   bookmarked , as well as a bluetooth sync system for users that have the mobile app . 

 Reminding passengers to board on gate 

 At last , we also thought it would be nice feature that would alert the userto board ahead of   time and to quickly print its list of saved items . This would prevent users from missing .
### Output: 