Quantified Self (QS) field needs to start thinking of how situated needs may affect the use of self-tracking technologies. In this workshop we will focus on the idiosyncrasies of specific categories of users

Cena, Federica

Epstein, Daniel A.

Gouveia, Rúben

Hopfgartner, Frank

Kay, Judy

Kummerfeld, Bob

Larsen, Jakob Eg

Plumbaum, Till

Rapp, Amon

English

Enlighten

     Rapp, A., Cena, F., Kay, J., Kummerfeld, B., Hopfgartner, F. , Plumbaum, T., Larsen, J. E., Epstein, D. A. and Gouveia, R. (2017) New Frontiers of Quantified Self 3: Exploring Understudied Categories of Users. In: ACM International Joint Conference on Pervasive and Ubiquitous Computing: UbiComp/ISWC 2017, Maui, HI, USA, 11-15 Sept 2017, pp. 861-864. ISBN 9781450351904 (doi:10.1145/3123024.3124456)  This is the author’s final accepted version.  There may be differences between this version and the published version. You are advised to consult the publisher’s version if you wish to cite from it.  http://eprints.gla.ac.uk/147919/                                                                  Deposited on: 05 October 2017              Enlighten – Research publications by members of the University of Glasgow http://eprints.gla.ac.uk   New Frontiers of Quantified Self 3: Exploring Understudied Categories of Users  Abstract Quantified Self (QS) field needs to start thinking of how situated needs may affect the use of self-tracking technologies. In this workshop we will focus on the idiosyncrasies of specific categories of users. Author Keywords Personal informatics; quantified self; self-tracking.  ACM Classification Keywords H.5.m. Information interfaces and presentation (e.g., HCI): Miscellaneous. Workshop rationale The Quantified Self (QS) movement, which is also known as Personal Informatics (PI), has the aim to collect and use personal data through technological means for self-reflection and self-knowledge [6]. Over recent years, a plethora of self-tracking devices have been developed both for research and commercial purposes. As a result, the practice of tracking personal data has also spread outside the avant-garde circle of quantified selfers, reaching a broader user population. In this more and more complex landscape, self-trackers have been studied in a variety of research, where their use of personal data has been connected to specific   Amon Rapp Federica Cena University of Torino amon.rapp@gmail.com cena@di.unito  Judy Kay Bob Kummerfeld University of Sydney judy.kay@sydney.edu.au bob.kummerfeld@sydney.edu.au  Frank Hopfgartner University of Glasgow frank.hopfgartner@glasgow.ac.uk   Till Plumbaum Technische Universität Berlin till@dai-lab.de  Jakob Eg Larsen Technical University of Denmark jaeg@dtu.dk  Daniel A. Epstein University of Washington depstein@cs.washington.edu  Rúben Gouveia Madeira Interactive Technologies Institute rubahfgouveia@gmail.com    goals, like behavior change [1], documentation [2], curiosity [3], and enjoyment [4]. However, despite a growing understanding of how self-trackers track, we know far less about how these tools can be used in specific contexts. This is due to the fact that, with rare exceptions [5], research has had a focus on the act of tracking per se, rather than the characteristics of the users. This bias, on the one hand, has narrowed our perspective on the QS phenomenon, and, on the other hand, risks undermining our capability to design PI tools for novel and specific contexts.  Our previous successful organization of PI/QS workshops (e.g. CHI 2010-13, UbiComp 2014-16) has resulted in a large and unexpected number of papers in the first (20 accepted papers) and second edition (18 accepted papers) of New Frontiers of QS at UbiComp ‘15 and ‘16. However, the debate has largely been focused on a generic category of self-trackers: those who use QS tools for self-reflection, self-knowledge and behavior change. In this new edition of the workshop, instead, we aim at exploring how specific, and still understudied, categories of users might track to address their personal and situated needs, how we can better design for them, and what particular user groups could be impacted by the increasing availability of personal data. This could also provide new opportunities for envisioning how collections of digital traces could go beyond behavior change to investigate new personalized services in e.g. work, education, transportation, and health. For example: how could people with mental disabilities, like autism or dementia, take advantage of the growing opportunities for tracking mental states? How could patients with a chronic disease, like diabetes, better manage their illness through QS tools? How could particular groups of workers, like employees, be affected by the pervasiveness of tracking, and what kind of ethical issues could arise? What kind of QS tools need to improve to support learning in elementary schools? We see crucial benefits from a workshop that enables UbiComp and ISWC communities to discuss and reflect on these questions. Sharing reflections on what kind of needs and practices may characterize specific user groups, and how tracking wearable and ubiquitous technologies could impact on them, may lead to novel designs and theoretical insights that could drive QS/PI research in the future. Toward this aim, it is necessary to consider a range of issues including: i) how the same data may have different meanings for different user groups; ii) how this information can be analyzed by populations that may have specific interaction needs; iii) what kind of issues QS technologies should face when aiming at integrating in existing habits/conditions; iv) how design can deal with ethical issues that may vary depending on the context; v) how to make the data available in a useful form for people with limited technical expertise so they can explore the particular issues that matter to them.  Workshop plan Pre-workshop preparations. The workshop website will go online before the CfP is sent to all the major UbiComp and ISWC mailing lists. The organizers will then publicize the call in their home organizations, among their peers, and through social media. We will accept position papers, research papers, case studies, and theoretical reflections, four-to-six pages long. Papers will be reviewed by three members of the program committee based on their relevance to the workshop topics, quality of the exposition and, mainly, potential to trigger insights during the workshop.  Workshop Topics  Relevant workshop topics include but are not limited to: i) Novel self-tracking tools (e.g. wearable and ubiquitous technologies, mobile apps, etc.) for specific user groups, like stroke patients, manual workers, cyclists, etc.; ii) Novel visualizations of personal data for people with distinctive interaction needs iii) Methodologies and technologies for transforming data into knowledge and to help users make sense of their own data; iv) Applications and services enabled by personal data in particular contexts; v) Thought-provoking insights and theoretical reflections on how self-tracking tools could impact specific user groups in the future, and how we can face the challenges that this diversity poses for the research/design of QS tools vi) Use cases that investigate the effectiveness of novel QS solutions for understudied user groups.  Expected results. The workshop will be open both to the attendees with an accepted paper and to researchers simply interested in QS themes. We plan for the accepted manuscripts to be included in the ACM Digital Library and supplemental proceedings of the conference. We expect to attract 20-25 participants. Workshop structure. The workshop will follow a full single-day format. In the morning, attendees will have 8 minutes (plus 2 minutes for questions) to present their papers. We expect to have 15-20 presentations, based on the previous editions of the workshop. In the afternoon, organizers will split participants in 4 or 5 groups (depending on the number of attendees). Each will focus on a category of potential future self-trackers: e.g. a group could start with the category of people with mental disabilities and then set a specific design challenge for a specific user group (“How might we help individuals with dementia keep track of their memories and plans to help them if they get lost?”). Then, participants in each group will work individually to generate new ideas related to the design challenge to be addressed. After 10 minutes, they will each present their ideas to their group companions, who will then discuss them. Then, each group will collaboratively choose the best idea and develop it into a concept design. Finally, we will encourage the group to embed the designed concept in a future narrative scenario, which could also present utopian or dystopian aspects, to generate critical reflections on how it could impact on that specific user base (e.g. moral concerns, side-effects). The day will conclude with a presentation of the concepts and scenarios to all the attendees in order to transition from specific scenarios to a higher level of insights, which could help push the QS field forward. After the workshop. We plan to: i) include all the participants in a mailing list where they can easily discuss new ideas related to the workshop topics; ii) produce a report of the workshop to disseminate the insights emerged during the workshop. iii) seek a special issue of a journal in this area. Short Bio of the Organizers Amon Rapp. Research fellow at Computer Science Department of the University of Torino, where he directs the Smart Objects Lab. His research areas are Quantified Self, gamification, and behavior change. Federica Cena. Assistant Professor at the Department of Computer Science of the University of Torino, where she is currently the head of Smart City Lab. She is working on user modeling and personalization.   Judy Kay. Professor of Computer Science at the University of Sydney, Australia. She heads the Human Centered Technology priority research cluster. Her primary research focus is on novel interaction and infrastructures for managing personal data with the user in control. Key applications are in life-long and life-wide learning, with data supporting metacognitive processes, including reflection and goal setting. Bob Kummerfeld. Associate Professor of Computer Science at the University of Sydney, Australia. His research is mainly on systems for the management of User Model data as well as novel interfaces for gathering and managing personal data. Frank Hopfgartner. Lecturer in Information Studies at University of Glasgow. His research to date can be placed in the intersection of information retrieval, Objectives  The workshop aims to establish itself as the premiere shared forum for QS researchers and practitioners, particularly those who are seeking new insights for understanding how self-tracking practices will evolve in the future. We aim at creating a multidisciplinary space where researchers can discuss how self-tracking technologies should evolve to fit and be integrated with existing practices, individual needs and levels of technical expertise, and situated purposes that go beyond behavior change, effectively supporting a variety of people in their everyday lives.  The long-term objective of the workshop is to build a community interested in sharing ideas on QS and PI. This includes researchers with different backgrounds, from engineers and computer scientists, to designers, social scientists, ethnographers and psychologists.  recommender systems, and data analytics. He co-organized various workshops on heterogeneous sensor data, Quantified Self and Lifelogging (e.g., at ICME, UMAP, Hypertext, BIBM) and is chair of Lifelog, a pilot task for the evaluation of lifelogging and retrieval techniques at NTCIR-12. Till Plumbaum. Director of the Competence Center Information Retrieval and Machine Learning at DAI-Labor, TU Berlin. He has chaired a number of workshops on user behavior and lifelong user modeling. His main research interest is on understanding and modeling human behavior with a current focus on lifelogging and personal informatics. Jakob Eg Larsen. Associate Professor in Cognitive Systems at the Technical University of Denmark, Dept. of Applied Mathematics and Computer Science, where he heads the Mobile Informatics and Personal Data Lab. He has chaired several workshops on personal informatics and quantified self. His research interests include HCI, personal data interaction, personal informatics and quantified self. Daniel A. Epstein. PhD Student in Computer Science & Engineering at the University of Washington and a member of the DUB group. He studies the design of personal informatics and self-tracking tools to integrate into people’s everyday lives through surveying people’s ongoing practices and implementing new technology. Rúben Gouveia. PhD student at Madeira Interactive Technologies Institute. He has focused his research on understanding how individuals engage with personal informatics tools in their daily lives. He attempts to leverage on such insights towards predicting and personalizing moments of engagement. References 1. Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10), 557-566. http://doi.acm.org/10.1145/1753326.1753409 2. John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers Chalmers. 2014. Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14), 1163-1172. http://doi.acm.org/10.1145/2556288.2557039. 3. Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. 2015. A lived informatics model of personal informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15), 731-742. http://dx.doi.org/10.1145/2750858.2804250 4. Amon Rapp and Federica Cena. 2016. Personal Informatics for Everyday Life: How Users without Prior Self-Tracking Experience Engage with Personal Data. International Journal of Human Computer Studies 94, 1-17. http://dx.doi.org/10.1016/j.ijhcs.2016.05.006. 5. Brett Wakefield, Carman Neustaedter, and Serena Hillman. 2014. The informatics needs of amateur endurance athletic coaches. In CHI '14 Extended Abstracts (CHI EA '14), 2287-2292. http://dx.doi.org/10.1145/2559206.2581174 6. Amon Rapp and Maurizio Tirassa. 2017. Know Thyself: A Theory of the Self for Personal Informatics. Human-computer interaction. http://dx.doi.org/10.1080/07370024.2017.1285704 Important dates  Deadline for submissions: June 9, 2017 Response to authors: June 30, 2017 Camera ready submission deadline: July 10, 2017 Workshop day: September 12, 2017 Schedule  09:15 - 09:30 Introduction  09:30 - 11:00 Paper presentations  11:00 - 11:30 Coffee Break 11:30 - 13:00 Paper presentations 13:00 - 14:00 Lunch 14:00 - 16:00 Work group: idea generation 16:00 - 16:30 Coffee Break 16:30 - 17:45 Work group: presentations and discussion 17:45 - 18:00 Closing remarks  

New Frontiers of Quantified Self 3: Exploring Understudied Categories of Users

Enlighten: Publications

 
 
 
 
 
Rapp, A., Cena, F., Kay, J., Kummerfeld, B., Hopfgartner, F. , Plumbaum, 
T., Larsen, J. E., Epstein, D. A. and Gouveia, R. (2017) New Frontiers of 
Quantified Self 3: Exploring Understudied Categories of Users. In: ACM 
International Joint Conference on Pervasive and Ubiquitous Computing: 
UbiComp/ISWC 2017, Maui, HI, USA, 11-15 Sept 2017, pp. 861-864. 
ISBN 9781450351904 (doi:10.1145/3123024.3124456) 
 
This is the author’s final accepted version. 
 
There may be differences between this version and the published version. 
You are advised to consult the publisher’s version if you wish to cite from 
it. 
 
http://eprints.gla.ac.uk/147919/                                                            
 
 
 
 
 
 
Deposited on: 05 October 2017 
 
 
 
 
 
 
 
 
 
 
 
 
 
Enlighten – Research publications by members of the University of Glasgow 
http://eprints.gla.ac.uk  
 New Frontiers of Quantified Self 3: 
Exploring Understudied Categories of 
Users
 
 
Abstract 
Quantified Self (QS) field needs to start thinking of how 
situated needs may affect the use of self-tracking 
technologies. In this workshop we will focus on the 
idiosyncrasies of specific categories of users. 
Author Keywords 
Personal informatics; quantified self; self-tracking.  
ACM Classification Keywords 
H.5.m. Information interfaces and presentation (e.g., 
HCI): Miscellaneous. 
Workshop rationale 
The Quantified Self (QS) movement, which is also 
known as Personal Informatics (PI), has the aim to 
collect and use personal data through technological 
means for self-reflection and self-knowledge [6]. Over 
recent years, a plethora of self-tracking devices have 
been developed both for research and commercial 
purposes. As a result, the practice of tracking personal 
data has also spread outside the avant-garde circle of 
quantified selfers, reaching a broader user population. 
In this more and more complex landscape, self-trackers 
have been studied in a variety of research, where their 
use of personal data has been connected to specific 
 
 
Amon Rapp 
Federica Cena 
University of Torino 
amon.rapp@gmail.com 
cena@di.unito 
 
Judy Kay 
Bob Kummerfeld 
University of Sydney 
judy.kay@sydney.edu.au 
bob.kummerfeld@sydney.edu.au 
 
Frank Hopfgartner 
University of Glasgow 
frank.hopfgartner@glasgow.ac.uk  
 
Till Plumbaum 
Technische Universität Berlin 
till@dai-lab.de 
 
Jakob Eg Larsen 
Technical University of Denmark 
jaeg@dtu.dk 
 
Daniel A. Epstein 
University of Washington 
depstein@cs.washington.edu 
 
Rúben Gouveia 
Madeira Interactive Technologies 
Institute 
rubahfgouveia@gmail.com 
 
 
 goals, like behavior change [1], documentation [2], 
curiosity [3], and enjoyment [4]. However, despite a 
growing understanding of how self-trackers track, we 
know far less about how these tools can be used in 
specific contexts. This is due to the fact that, with rare 
exceptions [5], research has had a focus on the act of 
tracking per se, rather than the characteristics of the 
users. This bias, on the one hand, has narrowed our 
perspective on the QS phenomenon, and, on the other 
hand, risks undermining our capability to design PI 
tools for novel and specific contexts.  
Our previous successful organization of PI/QS 
workshops (e.g. CHI 2010-13, UbiComp 2014-16) has 
resulted in a large and unexpected number of papers in 
the first (20 accepted papers) and second edition (18 
accepted papers) of New Frontiers of QS at UbiComp 
‘15 and ‘16. However, the debate has largely been 
focused on a generic category of self-trackers: those 
who use QS tools for self-reflection, self-knowledge and 
behavior change. In this new edition of the workshop, 
instead, we aim at exploring how specific, and still 
understudied, categories of users might track to 
address their personal and situated needs, how we can 
better design for them, and what particular user groups 
could be impacted by the increasing availability of 
personal data. This could also provide new 
opportunities for envisioning how collections of digital 
traces could go beyond behavior change to investigate 
new personalized services in e.g. work, education, 
transportation, and health. For example: how could 
people with mental disabilities, like autism or dementia, 
take advantage of the growing opportunities for 
tracking mental states? How could patients with a 
chronic disease, like diabetes, better manage their 
illness through QS tools? How could particular groups of 
workers, like employees, be affected by the 
pervasiveness of tracking, and what kind of ethical 
issues could arise? What kind of QS tools need to 
improve to support learning in elementary schools? We 
see crucial benefits from a workshop that enables 
UbiComp and ISWC communities to discuss and reflect 
on these questions. Sharing reflections on what kind of 
needs and practices may characterize specific user 
groups, and how tracking wearable and ubiquitous 
technologies could impact on them, may lead to novel 
designs and theoretical insights that could drive QS/PI 
research in the future. Toward this aim, it is necessary 
to consider a range of issues including: i) how the same 
data may have different meanings for different user 
groups; ii) how this information can be analyzed by 
populations that may have specific interaction needs; 
iii) what kind of issues QS technologies should face 
when aiming at integrating in existing 
habits/conditions; iv) how design can deal with ethical 
issues that may vary depending on the context; v) how 
to make the data available in a useful form for people 
with limited technical expertise so they can explore the 
particular issues that matter to them.  
Workshop plan 
Pre-workshop preparations. The workshop website will 
go online before the CfP is sent to all the major 
UbiComp and ISWC mailing lists. The organizers will 
then publicize the call in their home organizations, 
among their peers, and through social media. We will 
accept position papers, research papers, case studies, 
and theoretical reflections, four-to-six pages long. 
Papers will be reviewed by three members of the 
program committee based on their relevance to the 
workshop topics, quality of the exposition and, mainly, 
potential to trigger insights during the workshop.  
Workshop Topics 
 
Relevant workshop topics 
include but are not limited to: 
i) Novel self-tracking tools 
(e.g. wearable and ubiquitous 
technologies, mobile apps, 
etc.) for specific user groups, 
like stroke patients, manual 
workers, cyclists, etc.; 
ii) Novel visualizations of 
personal data for people with 
distinctive interaction needs 
iii) Methodologies and 
technologies for transforming 
data into knowledge and to 
help users make sense of 
their own data; 
iv) Applications and services 
enabled by personal data in 
particular contexts; 
v) Thought-provoking 
insights and theoretical 
reflections on how self-
tracking tools could impact 
specific user groups in the 
future, and how we can face 
the challenges that this 
diversity poses for the 
research/design of QS tools 
vi) Use cases that investigate 
the effectiveness of novel QS 
solutions for understudied 
user groups. 
 Expected results. The workshop will be open both to 
the attendees with an accepted paper and to 
researchers simply interested in QS themes. We plan 
for the accepted manuscripts to be included in the ACM 
Digital Library and supplemental proceedings of the 
conference. We expect to attract 20-25 participants. 
Workshop structure. The workshop will follow a full 
single-day format. In the morning, attendees will have 
8 minutes (plus 2 minutes for questions) to present 
their papers. We expect to have 15-20 presentations, 
based on the previous editions of the workshop. In the 
afternoon, organizers will split participants in 4 or 5 
groups (depending on the number of attendees). Each 
will focus on a category of potential future self-
trackers: e.g. a group could start with the category of 
people with mental disabilities and then set a specific 
design challenge for a specific user group (“How might 
we help individuals with dementia keep track of their 
memories and plans to help them if they get lost?”). 
Then, participants in each group will work individually 
to generate new ideas related to the design challenge 
to be addressed. After 10 minutes, they will each 
present their ideas to their group companions, who will 
then discuss them. Then, each group will collaboratively 
choose the best idea and develop it into a concept 
design. Finally, we will encourage the group to embed 
the designed concept in a future narrative scenario, 
which could also present utopian or dystopian aspects, 
to generate critical reflections on how it could impact 
on that specific user base (e.g. moral concerns, side-
effects). The day will conclude with a presentation of 
the concepts and scenarios to all the attendees in order 
to transition from specific scenarios to a higher level of 
insights, which could help push the QS field forward. 
After the workshop. We plan to: i) include all the 
participants in a mailing list where they can easily 
discuss new ideas related to the workshop topics; ii) 
produce a report of the workshop to disseminate the 
insights emerged during the workshop. iii) seek a 
special issue of a journal in this area. 
Short Bio of the Organizers 
Amon Rapp. Research fellow at Computer Science 
Department of the University of Torino, where he 
directs the Smart Objects Lab. His research areas are 
Quantified Self, gamification, and behavior change. 
Federica Cena. Assistant Professor at the Department 
of Computer Science of the University of Torino, where 
she is currently the head of Smart City Lab. She is 
working on user modeling and personalization.   
Judy Kay. Professor of Computer Science at the 
University of Sydney, Australia. She heads the Human 
Centered Technology priority research cluster. Her 
primary research focus is on novel interaction and 
infrastructures for managing personal data with the 
user in control. Key applications are in life-long and 
life-wide learning, with data supporting metacognitive 
processes, including reflection and goal setting. 
Bob Kummerfeld. Associate Professor of Computer 
Science at the University of Sydney, Australia. His 
research is mainly on systems for the management of 
User Model data as well as novel interfaces for 
gathering and managing personal data. 
Frank Hopfgartner. Lecturer in Information Studies at 
University of Glasgow. His research to date can be 
placed in the intersection of information retrieval, 
Objectives 
 
The workshop aims to 
establish itself as the 
premiere shared forum for QS 
researchers and practitioners, 
particularly those who are 
seeking new insights for 
understanding how self-
tracking practices will evolve 
in the future. 
We aim at creating a 
multidisciplinary space where 
researchers can discuss how 
self-tracking technologies 
should evolve to fit and be 
integrated with existing 
practices, individual needs 
and levels of technical 
expertise, and situated 
purposes that go beyond 
behavior change, effectively 
supporting a variety of people 
in their everyday lives.  
The long-term objective of 
the workshop is to build a 
community interested in 
sharing ideas on QS and PI. 
This includes researchers with 
different backgrounds, from 
engineers and computer 
scientists, to designers, social 
scientists, ethnographers and 
psychologists. 
 recommender systems, and data analytics. He co-
organized various workshops on heterogeneous sensor 
data, Quantified Self and Lifelogging (e.g., at ICME, 
UMAP, Hypertext, BIBM) and is chair of Lifelog, a pilot 
task for the evaluation of lifelogging and retrieval 
techniques at NTCIR-12. 
Till Plumbaum. Director of the Competence Center 
Information Retrieval and Machine Learning at DAI-
Labor, TU Berlin. He has chaired a number of 
workshops on user behavior and lifelong user modeling. 
His main research interest is on understanding and 
modeling human behavior with a current focus on 
lifelogging and personal informatics. 
Jakob Eg Larsen. Associate Professor in Cognitive 
Systems at the Technical University of Denmark, Dept. 
of Applied Mathematics and Computer Science, where 
he heads the Mobile Informatics and Personal Data Lab. 
He has chaired several workshops on personal 
informatics and quantified self. His research interests 
include HCI, personal data interaction, personal 
informatics and quantified self. 
Daniel A. Epstein. PhD Student in Computer Science 
& Engineering at the University of Washington and a 
member of the DUB group. He studies the design of 
personal informatics and self-tracking tools to integrate 
into people’s everyday lives through surveying people’s 
ongoing practices and implementing new technology. 
Rúben Gouveia. PhD student at Madeira Interactive 
Technologies Institute. He has focused his research on 
understanding how individuals engage with personal 
informatics tools in their daily lives. He attempts to 
leverage on such insights towards predicting and 
personalizing moments of engagement. 
References 
1. Ian Li, Anind Dey, and Jodi Forlizzi. 2010. A stage-
based model of personal informatics systems. In 
Proceedings of the SIGCHI Conference on Human 
Factors in Computing Systems (CHI '10), 557-566. 
http://doi.acm.org/10.1145/1753326.1753409 
2. John Rooksby, Mattias Rost, Alistair Morrison, and 
Matthew Chalmers Chalmers. 2014. Personal 
tracking as lived informatics. In Proceedings of the 
32nd annual ACM conference on Human factors in 
computing systems (CHI '14), 1163-1172. 
http://doi.acm.org/10.1145/2556288.2557039. 
3. Daniel A. Epstein, An Ping, James Fogarty, and 
Sean A. Munson. 2015. A lived informatics model of 
personal informatics. In Proceedings of the 2015 
ACM International Joint Conference on Pervasive 
and Ubiquitous Computing (UbiComp '15), 731-
742. http://dx.doi.org/10.1145/2750858.2804250 
4. Amon Rapp and Federica Cena. 2016. Personal 
Informatics for Everyday Life: How Users without 
Prior Self-Tracking Experience Engage with 
Personal Data. International Journal of Human 
Computer Studies 94, 1-17. 
http://dx.doi.org/10.1016/j.ijhcs.2016.05.006. 
5. Brett Wakefield, Carman Neustaedter, and Serena 
Hillman. 2014. The informatics needs of amateur 
endurance athletic coaches. In CHI '14 Extended 
Abstracts (CHI EA '14), 2287-2292. 
http://dx.doi.org/10.1145/2559206.2581174 
6. Amon Rapp and Maurizio Tirassa. 2017. Know 
Thyself: A Theory of the Self for Personal 
Informatics. Human-computer interaction. 
http://dx.doi.org/10.1080/07370024.2017.128570
4 
Important dates 
 
Deadline for submissions: 
June 9, 2017 
Response to authors: June 
30, 2017 
Camera ready submission 
deadline: July 10, 2017 
Workshop day: September 
12, 2017 
Schedule 
 
09:15 - 09:30 Introduction  
09:30 - 11:00 Paper 
presentations  
11:00 - 11:30 Coffee Break 
11:30 - 13:00 Paper 
presentations 
13:00 - 14:00 Lunch 
14:00 - 16:00 Work group: 
idea generation 
16:00 - 16:30 Coffee Break 
16:30 - 17:45 Work group: 
presentations and discussion 
17:45 - 18:00 Closing 
remarks 
 


Quantified Self (QS) field needs to start thinking of how situated needs may affect the use of self-tracking technologies. In this workshop we will focus on the idiosyncrasies of specific categories of users.</p

New Frontiers of Quantified Self 3: Exploring Understudied Categories of Users

Abstract

Similar works

Full text

Available Versions

Enlighten

Enlighten: Publications

Online Research Database In Technology

Crossref