Contents 1 Team members 1.1 Mindstorm 1.1.1 Problems 1.1.2 Goals 1.1.3 Today 1.1.4 Grouping content 1.1.5 Bookmarking 1.1.6 Priority importance 1.1.7 Why do we need to track it? 2 Research for solution - STORAGE AND RE-ACCESS 2.1 Notes 2.2 Outputs 2.3 Use case 2.4 Design idea 2.5 What we capture 2.6 Recall 2.6.1 Starting points 2.7 Design job 2.7.1 Story 2.7.2 Graphical representation 2.7.3 Screens 2.7.4 First attempt, with clues: 2.7.5 Second attempt and final: 2.7.6 Mobile version 3 Presentation

Team members

• Marcin Grodzicki, @3marcin
• Eewei Chen @ultraman @ultraman
• Kuba Kucharski, @83tb
• Keng @kengggg @kengggg
• Tom @whoojemaflip

Mindstorm

Problems

• Default browser history useless
• Multiple tabs
• Multiple devices
• Locations
• Do we need to bookmark deliberately or should it be done automatically as we browse?
• Dumping ground
• Manual bookmark
• storage and access

Goals

• Find previously viewed info
• Content Rediscovery
• Research tracking
• Event planning
• Automated memory
• Synced devices

Today

• Bookmarks
• History
• Memory aid apps:
• instapaper
• Tabs

Grouping content

• Tags
• Icons
• Folders (structure)

Bookmarking

• What it really means?
• What you could possibly want to bookmark?
• Possibly not just a link, but f.e text fragment on the page

Priority importance

• time on page site
• re-visits
• eye-tracking
• journey, in -> * -> out
• to put back context

Why do we need to track it?

• Research tracking
• Knowledge base
• Travel
• Event planning
• Shopping

Research for solution - STORAGE AND RE-ACCESS

Notes

• Automated memory
• Short and long-term memory
• Voice recognition and analysis
• Getting emotional context, recording f.e smiles, and voice characteristics

Outputs

• Data visualisation
• Classification

Use case

Student Steve is going to travel. He is doing research about nightcubs in London..

Design idea

What we capture

• Location, physical + url
• emotion and engagment
• journey, in -> out
• datetime context
• image/voice sample
• external importance
• tags(like delicious)
• similar users browsing behaviour
• entire page - site
• image of the page

Recall

• Outputs
• Data visualistation
• Timeline, rewind, forward
• List view

Starting points

• Keyword
• Time
• People
• Media type
• Place of research

Design job

Story

Steve is planning his trip to Barcelona (he really wants to get laid)

He wants to find again the list of top clubs in Barcelona he recently found somewhere online.

He puts Barcelona in the search box of his Mindstorm.

He immediately gets the list of 10 top results (ranked by his level of engagement, excitement and external rankings) for 'Barcelona' in his browsing history. But the system also shows him the time distribution of this results - when he actually found them, and then he remembers that he actually did the research last Friday, so he narrows down the results to that day. The search results are refreshed.

He also immediately get's a cue that this day he explored Barcelona at home, work and on his mobile and he immediately recognises that he did the research back at home, late after work. He chooses home, and the results get filtered again.

Before diving into results Steve notices the groups of information he found on the day, and he sees that he researched 'venues', 'flights' and 'entertainment'. He immediately clicks 'venues' as this fits his club hunt, and bang. The top result is now 'Top 10 clubs with house music in Barcelona'. Bingo - Steve's at home.

Graphical representation

Inspirations: QWIKI PRESENTATION

• the exploration starts with the search phrase
• there is this big thing(search box) in the middle, and than a graph emerges from there
• engine detects your starting point/concept/angle of the data

Screens

First attempt, with clues:

Second attempt and final:

Mobile version

Presentation

Is avilable at Google Docs