Digital MeLeveraging your digital footprint to track your time

Mats Sjoberg

March 28, 2017 – Quantified Employee 2017 Seminar

Knowledge work is changing

Tuukka Lehtiniemi et al, Trends of Knowledge Work and Needs for Knowledge Work Tools,Re:Know White Paper.

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Placing the knowledge worker in the centre

I The only stable thing is the knowledge worker:I your physical location, employer, project or organisation

may changeI you keep your experience, skills, and human connections –

your “personal data”

I In our research we took this as the starting point: placing theknowledge worker in the centre

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Your digital footprint in knowledge work

I Much of knowledge work is digitally mediated

I Digital interactions are essentially always loggedI potential to solve many of the knowledge work challenges!

I automatically tracking workI memory, recallI proactivity

I privacy challengeI individual needs to be in control → MyData principle

I We developed the Digital Me (DiMe) software for this purpose

I Tekes-funded Re:Know project: HIIT (Aalto & UH) + FIOH

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Digital Me (DiMe)

I Logs your digital (knowledge work) interactions

I Free and open source software, open ecosystem

I Loggers record events from person’s actions or environment

I Applications provide user interfaces for viewing, manipulating,and analysing events

loggers applicationsevent data API

http://reknow.fi/dime

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DiMe version 0.2

I Prototype interface

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DiMe potential

I DiMe augments the human with a “digital memory” ofprevious states, events, actions – in general any personal data

I Many applications can build on this collected data

I provide insight into the person’s own behaviour

I anticipate future behaviour

I Just a few potential ideas explored in our research project . . .

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DiMe ecosystem

Desktop

Email

Browser

Mobile

Eye-tracking

Data imports

Health trackers

Audiovisual

Speech

Intelligent meeting room

Proactive search

Associative recall

Time-line search

Quantified worker

Competence profiling

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Example: tracking working time

I Managing working time and work load are common problemsfor knowledge workers

I Are you allocating your time right?

I maybe you spend too much time managing your email, andnot enough on the really important things?

I chasing deadlines instead of planning further ahead?

I Can you accurately predict how much time a task will take?

I anticipating time usage helps managing your working day

I for example, knowing when you have to say “no” to newendeavours

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Tracking working time with DiMe

I DiMe collects your actions during the working dayI also other sensors useful, e.g., health tracker

I Machine learning: automatic project/task classification

08 10 12 16 1814

Icons designed by Freepik from Flaticon.

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Tracking working time with DiMe

I DiMe collects your actions during the working dayI also other sensors useful, e.g., health tracker

I Machine learning: automatic project/task classification

08 10 12 16 1814

Icons designed by Freepik from Flaticon.

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Tracking working time with DiMe

I DiMe collects your actions during the working dayI also other sensors useful, e.g., health tracker

I Machine learning: automatic project/task classification

08 10 12 16 1814

Health tracker: walking

Icons designed by Freepik from Flaticon.

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Tracking working time with DiMe

I DiMe collects your actions during the working dayI also other sensors useful, e.g., health tracker

I Machine learning: automatic project/task classification

Research: reknow

Lun

ch

Programming: reknow

Meeting:Aka funding

Research & prog.:HWFA

08 10 12 16 1814

Icons designed by Freepik from Flaticon.

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Tracking working time with DiMe

Research: reknow

Lun

ch

Programming: reknow

Meeting:Aka funding

Research & prog.:HWFA

08 10 12 16 1814

I Tracking and analysing time allocation→ increased self-knowledge

I First step to answer the time management problem

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Conclusions

I Knowledge work is changing

I increasing complexity, automation, information overload

I Digital Me: personal data part of the answer

I logging and tracking can be used for good!

I Time tracking

I AI/machine learning can help!

I self-knowledge essential for time management issues

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