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- Miguel Bello
- Juan Pablo Giraldo
- Drupad Mistry
- Mariateresa Acquaviva
- Matteo Mucci
- Nadim Inaty
Research & explore
Analyzing the Problem: Skimming relevant info
People are often annoyed and stressed by information that it is not relevant otherwise need information to accomplish tasks or stay up to date, but they find demanding to skim the relevant information from less relevant one. This problem is becoming unmanageable with the real time web application massive usage.
Idea: A smart agenda based on routines, behaviours, time and space as filters and frames
The smart agenda can help people to skim information by using Routines, behaviours, time and space as filters and frames. The application shapes and manage the information stream according and combining some criteria of relevance: routines, behaviours, time and space as main filters and frames. GPS tech is required. Other criteria related with data of digital identities (profession, sex, work place, home place, etc), behaviors (like/don't like, saving etc..) and historical data are utilized for the agenda setting, agenda learning and further filters.Other criteria related with data of digital identities (profession, sex, work place, home place, etc), behaviors (like/don't like, saving etc..) and historical data are utilized for the agenda setting, agenda learning and further filters.
Primary target: professional people
What are routines?
We have chosen the routine concept to predict information needs: 1. When the user is getting to workplace he could prefer listening music or news 2. When the user is working he could prefer info related with profession 3.When he is shopping he could prefer info related with shopping 4.When he is relaxing and in spare time could prefer info related with entrainment 5.When he is attending an English class could prefer info related with language learning
And so on The agenda is built by routines
Information source: FB, Twitter, LinkedIn, Google (News, Gmail, Search)
These sources compose the information flow and the can be used to extract further filter
Criteria of relevance
1. What the user is doing and what he has planned to do is the core criteria to weight the incoming information.
2. Space and Time
Space: user localization, routine/planed/actual actions localization and the movement tracking increase the relevance
Time: the ‘posting’ time of information closer to user time increases the relevance. Close does not mean necessarily in the same time
Users stories / Sketching / Wireframes
Smart Agenda Functionalities
The agenda and routines setting:
user can choose the information sources from which receiving info: the agenda imports digital identities data for each source imports the user can choose a personal menu of routines, starting by a default configuration he can drag and drop ‘routines’ collocating them at favourite time
the agenda set the most important localized landmark as home place, workplace etc.. the agenda can detect when the user is out of usual pattern analysing and comparing positions the agenda setting could be made in progress
the agenda displays incoming info stream in each interval grouped by source. The default number of ‘conversations displayed is 10. The agenda manages priority applying the routine and other criteria already described
User Interaction and feedback
The user can scroll, save, ignore, marks info/feed/conversations: depending on the kind of action accomplished the agenda learns to topics/facts/persons more important and start to use this information to tune further the incoming flow. the user can save conversation regarding future events, the agenda will fill the correspondent interval then will start to use this info to prioritize the agenda can import entities from e-mails to fill the interval the agenda allows to filter flows by routine where each routine, defined by time and place , is also defined by keywords, tags (working routine: professional topics, colleagues, etc) user can choose event/activities and send invitation to network member
Scenario A: Working Context Use Case: looking through info and saving ‘conversation’
Persona: Bob is a garden designer working, 40 y, loves improving his professional expertise and to stay up to date, he likes travelling, is single
It is Monday at 10 in the morning, since Bob is in the Working Time routine Bob looks through the agenda all incoming info are relate to professional- work Bob finds out a relevant ‘conversation’ about a exhibition where is possible get new business deals Bob saves the conversation The agenda uses the keywork/topic/entities related with the saved event to filter and weight new information
Scenario B: Dating Context Choosing place/event to date and sending invitations
Scenario C: Choosing/organizing shopping for dating
Prototypes - on paper or on screen
About the Smart Agenda'idea' The mains challenging points are:
A) Scrapping and merging info from different sources (for legal and tech issues)
B) Building the taxonomies and rules to describe routines and activities (expansive?)
C) Building parsing tools and entities extractions tools (enough scalable?)
About Design Process
Just a note about methodology: Using false 'users' and 'personas' as we did, without carring out a real user research or a user requirement analysis, just to be compliant to formal methodology does not make sense, in my opinion. It might be more right and trasparent assuming that we are designing for ourselves and ideally extending requirements to a similar target. (?) In someway we did it, we thought about a sort of 'professional' target. I had this methodological doubt during the jam, but I did't get any clarification because of tight time.