Digital Me: Controlling and Making Sense of My Digital Footprint

Mats Sjöberg; Hung-Han Chen; Patrik Floreen; Markus Koskela; Kai Kuikkaniemi; Tuukka Lehtiniemi; Jaakko Peltonen

doi:10.1007/978-3-319-57753-1_14

Digital Me: Controlling and Making Sense of My Digital Footprint

Mats Sjöberg, Hung-Han Chen, Patrik Floreen, Markus Koskela, Kai Kuikkaniemi, Tuukka Lehtiniemi, Jaakko Peltonen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

13 Citations (Scopus)

274 Downloads (Pure)

Abstract

Our lives are getting increasingly digital; much of our personal interactions are digitally mediated. A side effect of this is a growing digital footprint, as every action is logged and stored. This data can be very powerful, e.g., a person’s actions can be predicted, and deeply personal information mined. Hence, the question of who controls the digital footprint is becoming a pressing technological and social issue. We believe that the solution lies in human-centric personal data, i.e., the individuals themselves should control their own data. We claim that in order for human-centric data management to work, the individual must be supported in understanding their data. This paper introduces a personal data storage system Digital Me (DiMe). We describe the design and implementation of DiMe, and how we use state-of-the-art machine learning for visualisation and interactive modelling of the personal data. We outline several applications that can be built on top of DiMe.

Original language	English
Title of host publication	Symbiotic Interaction
Subtitle of host publication	5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers
Editors	L. Gamberini, A. Spagnolli, G. Jacucci, B. Blankertz, J. Freeman
Place of Publication	Cham
Publisher	Springer
Pages	155-167
ISBN (Electronic)	978-3-319-57753-1
ISBN (Print)	978-3-319-57752-4
DOIs	https://doi.org/10.1007/978-3-319-57753-1_14
Publication status	Published - 2017
MoE publication type	A4 Conference publication
Event	International Workshop on Symbiotic Interaction - Padova, Italy Duration: 29 Sept 2016 → 30 Sept 2016 Conference number: 5

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9961
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	International Workshop on Symbiotic Interaction
Abbreviated title	SYMBIOTIC
Country/Territory	Italy
City	Padova
Period	29/09/2016 → 30/09/2016

Keywords

Personal data management
Human-centric personal data
Knowledge work
Text analysis
Distributed representations
Interactive machine learning

Access to Document

10.1007/978-3-319-57753-1_14

10.1007_978-3-319-57753-1_14Final published version, 624 KBLicence: CC BY

Cite this

Sjöberg, M., Chen, H.-H., Floreen, P., Koskela, M., Kuikkaniemi, K., Lehtiniemi, T., & Peltonen, J. (2017). Digital Me: Controlling and Making Sense of My Digital Footprint. In L. Gamberini, A. Spagnolli, G. Jacucci, B. Blankertz, & J. Freeman (Eds.), Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers (pp. 155-167). (Lecture Notes in Computer Science; Vol. 9961). Springer. https://doi.org/10.1007/978-3-319-57753-1_14

Sjöberg, Mats ; Chen, Hung-Han ; Floreen, Patrik et al. / Digital Me : Controlling and Making Sense of My Digital Footprint. Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers. editor / L. Gamberini ; A. Spagnolli ; G. Jacucci ; B. Blankertz ; J. Freeman. Cham : Springer, 2017. pp. 155-167 (Lecture Notes in Computer Science).

@inproceedings{a7579414f22a40c4aaf53e68599ae3fd,

title = "Digital Me: Controlling and Making Sense of My Digital Footprint",

abstract = "Our lives are getting increasingly digital; much of our personal interactions are digitally mediated. A side effect of this is a growing digital footprint, as every action is logged and stored. This data can be very powerful, e.g., a person{\textquoteright}s actions can be predicted, and deeply personal information mined. Hence, the question of who controls the digital footprint is becoming a pressing technological and social issue. We believe that the solution lies in human-centric personal data, i.e., the individuals themselves should control their own data. We claim that in order for human-centric data management to work, the individual must be supported in understanding their data. This paper introduces a personal data storage system Digital Me (DiMe). We describe the design and implementation of DiMe, and how we use state-of-the-art machine learning for visualisation and interactive modelling of the personal data. We outline several applications that can be built on top of DiMe.",

keywords = "Personal data management, Human-centric personal data, Knowledge work, Text analysis, Distributed representations, Interactive machine learning ",

author = "Mats Sj{\"o}berg and Hung-Han Chen and Patrik Floreen and Markus Koskela and Kai Kuikkaniemi and Tuukka Lehtiniemi and Jaakko Peltonen",

year = "2017",

doi = "10.1007/978-3-319-57753-1_14",

language = "English",

isbn = "978-3-319-57752-4",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "155--167",

editor = "Gamberini, {L. } and Spagnolli, {A. } and G. Jacucci and B. Blankertz and J. Freeman",

booktitle = "Symbiotic Interaction",

address = "Germany",

note = "International Workshop on Symbiotic Interaction, SYMBIOTIC ; Conference date: 29-09-2016 Through 30-09-2016",

}

Sjöberg, M, Chen, H-H , Floreen, P, Koskela, M, Kuikkaniemi, K, Lehtiniemi, T & Peltonen, J 2017, Digital Me: Controlling and Making Sense of My Digital Footprint. in L Gamberini, A Spagnolli, G Jacucci, B Blankertz & J Freeman (eds), Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers. Lecture Notes in Computer Science, vol. 9961, Springer, Cham, pp. 155-167, International Workshop on Symbiotic Interaction, Padova, Italy, 29/09/2016. https://doi.org/10.1007/978-3-319-57753-1_14

Digital Me: Controlling and Making Sense of My Digital Footprint. / Sjöberg, Mats; Chen, Hung-Han ; Floreen, Patrik et al.
Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers. ed. / L. Gamberini; A. Spagnolli; G. Jacucci; B. Blankertz; J. Freeman. Cham: Springer, 2017. p. 155-167 (Lecture Notes in Computer Science; Vol. 9961).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Digital Me

T2 - International Workshop on Symbiotic Interaction

AU - Sjöberg, Mats

AU - Chen, Hung-Han

AU - Floreen, Patrik

AU - Koskela, Markus

AU - Kuikkaniemi, Kai

AU - Lehtiniemi, Tuukka

AU - Peltonen, Jaakko

N1 - Conference code: 5

PY - 2017

Y1 - 2017

N2 - Our lives are getting increasingly digital; much of our personal interactions are digitally mediated. A side effect of this is a growing digital footprint, as every action is logged and stored. This data can be very powerful, e.g., a person’s actions can be predicted, and deeply personal information mined. Hence, the question of who controls the digital footprint is becoming a pressing technological and social issue. We believe that the solution lies in human-centric personal data, i.e., the individuals themselves should control their own data. We claim that in order for human-centric data management to work, the individual must be supported in understanding their data. This paper introduces a personal data storage system Digital Me (DiMe). We describe the design and implementation of DiMe, and how we use state-of-the-art machine learning for visualisation and interactive modelling of the personal data. We outline several applications that can be built on top of DiMe.

AB - Our lives are getting increasingly digital; much of our personal interactions are digitally mediated. A side effect of this is a growing digital footprint, as every action is logged and stored. This data can be very powerful, e.g., a person’s actions can be predicted, and deeply personal information mined. Hence, the question of who controls the digital footprint is becoming a pressing technological and social issue. We believe that the solution lies in human-centric personal data, i.e., the individuals themselves should control their own data. We claim that in order for human-centric data management to work, the individual must be supported in understanding their data. This paper introduces a personal data storage system Digital Me (DiMe). We describe the design and implementation of DiMe, and how we use state-of-the-art machine learning for visualisation and interactive modelling of the personal data. We outline several applications that can be built on top of DiMe.

KW - Personal data management

KW - Human-centric personal data

KW - Knowledge work

KW - Text analysis

KW - Distributed representations

KW - Interactive machine learning

U2 - 10.1007/978-3-319-57753-1_14

DO - 10.1007/978-3-319-57753-1_14

M3 - Conference article in proceedings

SN - 978-3-319-57752-4

T3 - Lecture Notes in Computer Science

SP - 155

EP - 167

BT - Symbiotic Interaction

A2 - Gamberini, L.

A2 - Spagnolli, A.

A2 - Jacucci, G.

A2 - Blankertz, B.

A2 - Freeman, J.

PB - Springer

CY - Cham

Y2 - 29 September 2016 through 30 September 2016

ER -

Sjöberg M, Chen HH , Floreen P, Koskela M, Kuikkaniemi K, Lehtiniemi T et al. Digital Me: Controlling and Making Sense of My Digital Footprint. In Gamberini L, Spagnolli A, Jacucci G, Blankertz B, Freeman J, editors, Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers. Cham: Springer. 2017. p. 155-167. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-57753-1_14

Digital Me: Controlling and Making Sense of My Digital Footprint

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