Top Banner
QS Mapper - freedom from particularity using two-way mappings presented by Rasmus Petersen [email protected] , +44 (0) 7450 957 559 NOBLACKBOX Cambridge Ltd www.noblackbox.co.uk
16
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: ICSOFT 2015 slides

QS Mapper - freedom from particularity using two-way mappings

presented byRasmus Petersen

[email protected], +44 (0) 7450 957 559NOBLACKBOX Cambridge Ltd

www.noblackbox.co.uk

Page 2: ICSOFT 2015 slides

Quantified Self

“... a community of individuals seeking self-improvement through self-measurement” [London QS]

“... a collaboration of users and tool makers who share an interest in self knowledge through self-tracking” [Founders Gary Wolf and Kevin Kline]

Page 3: ICSOFT 2015 slides

QS show and tells

Page 4: ICSOFT 2015 slides

QS hypothesis and experiment

?

Page 5: ICSOFT 2015 slides

Hypertext and QS

“THE KINDS OF FILE structures required … for personal files ... are wholly different in character from those customary in business and scientific data processing.”

“They need to provide the capacity for intricate and idiosyncratic arrangements, total modifiability, undecided alternatives, and thorough internal documentation.”

Ted Nelson

Page 6: ICSOFT 2015 slides

Self-hacking proposalLondon self-hacking working group 1. reclaiming and extracting the individual user’s data

from various sources,2. finding neutral, trusted platforms to hold individual

user’s data, including the option of individual platforms and

3. enhancing the individual user’s ability to analyse the data.

Page 7: ICSOFT 2015 slides

QS Mapper

Page 8: ICSOFT 2015 slides

Approach

Page 9: ICSOFT 2015 slides

A QS data aggregator must ...a) support concepts that leverage trust in the tool output.b) be an open-ended system while ensuring the preservation of context.c) support multiple views of the aggregated data, regardless of data structure.

Page 10: ICSOFT 2015 slides

Features

1) Hypothesis generation2) Experiment design

3) Aggregate QS data4) Explore QS data5) Analyse QS data

Page 11: ICSOFT 2015 slides

Case (mood, steps, diet)

Page 12: ICSOFT 2015 slides

Aggregate

Page 13: ICSOFT 2015 slides

Explore

Page 14: ICSOFT 2015 slides

Analyse

Page 15: ICSOFT 2015 slides

ConclusionSoftware for individuals (small, yet complex, data)

Page 16: ICSOFT 2015 slides

Thank you… and special thanks to my co-authors

Adriana LukasOrganizer at London Quantified SelfLondon, United [email protected]

Uffe Kock WiilDirector at Patient@home (www.patientathome.dk)and Information & Knowledge Management labOdense, [email protected]

[email protected], +44 (0) 7450 957 559