research-article

Narrating the quantified self

Authors:

Amon RappAuthors Info & Claims

UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

Pages 1051 - 1056

https://doi.org/10.1145/2800835.2800959

Published: 07 September 2015 Publication History

Abstract

Quantified Self aims at providing people with self-awareness and self-knowledge through the collection of personal data. However, the modalities through which these information are presented often prevent individuals to gain useful insights. Numbers and graphs, in fact, are not suitable for all users. In this work, we suggest that storytelling can provide effective ways to present personal data to users. Looking at narrations and how they are told, Quantified Self tools can satisfy also the needs of those that have less experience in managing quantitative information.

References

[1]

Jessica S. Ancker and David Kaufman. 2007. Rethinking health numeracy: A multidisciplinary literature review. J Am Med Inform Assoc 14, 6, 713--721.

[2]

Simon Baron-Cohen. 1991. Precursors to a theory of mind: Understanding attention in others. In Natural theories of mind: Evolution, development and simulation of everyday mindreading, Andrew Whiten (Ed.). Basil Blackwell, Oxford, UK, 233--251.

[3]

Frank Bentley, Konrad Tollmar, Peter Stephenson, Laura Levy, Brian Jones, Scott Robertson, Ed Price, Richard Catrambone, and Jeff Wilson. 2013. Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change. ACM Trans. Comput.-Hum. Interact. 20, 5, Article 30 (November 2013), 27 pages. http://doi.acm.org/10.1145/2503823

Digital Library

[4]

Shelly Chaiken. 1980. Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology 39, 5: 752--766.

[5]

Eun Kyoung Choe, Nicole B. Lee, Bongshin Lee, Wanda Pratt and Julie A. Kientz. 2014. Understanding quantified-selfers' practices in collecting and exploring personal data. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14), 1143--1152. http://doi.acm.org/10.1145/2556288.2557372

Digital Library

[6]

Ruth C. Clark and Richard E. Mayer. 2011. ELearning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning (3^rd. ed.), John Wiley & Sons, San Francisco, CA.

Digital Library

[7]

Ryan Eccles, Thomas Kapler, Robert Harper, and William Wright. 2008. Stories in GeoTime. Information Visualization, 7, 1, 3--17. http://dx.doi.org/10.1145/1391107.1391109

Digital Library

[8]

Michael Eysenck and Mark T. Keane. 2010. Cognitive Psychology: A Student's Handbook (6^th. ed.). Psychology Press, London, UK.

[9]

Mirta Galesic and Rocio García-Retamero. 2011. Graph literacy: A cross-cultural comparison. Medical Decision Making, 31, 444--457.

[10]

Zach Gemignani. 2012. Data Visualization as Storytelling: A Stretched Analogy. Retrieved June 12, 2015, from http://www.juiceanalytics.com/writing/data-visualization-as-storytelling-a-stretched-analogy

[11]

Nahum Gershon and Ward Page. 2001. What Storytelling Can Do for Information Visualization. Communications of the ACM, 44, 8, 31--37. http://doi.acm.org/10.1145/381641.381653

Digital Library

[12]

Melanie C. Green and Timothy C. Brock. 2000. The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology 79 (5): 701--721.

[13]

Jeffrey Heer, Jock Mackinlay, Chris Stolte, and Maneesh Agrawala. 2008. Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation. IEEE Transactions on Visualization and Computer Graphics, 14, 6, 1189--1196. http://dx.doi.org/10.1109/TVCG.2008.137

Digital Library

[14]

Leslie J. Hinyard and Matthew W. Kreuter. 2007. Using Narrative Communication as a Tool for Health Behavior Change: A Conceptual, Theoretical, and Empirical Overview. Health Education & Behavior 34, 5, 777--792.

[15]

Suzanne Keen. 2006. A theory of narrative empathy. Narrative, 14, 3, 207--236.

[16]

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

Digital Library

[17]

Ian Li, Anind K. Dey, and Jodi Forlizzi. 2011. Understanding my data, myself: supporting self-reflection with ubicomp technologies. In Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11), 405--414. http://doi.acm.org/10.1145/2030112.2030166

Digital Library

[18]

Tanya Marie Luhrmann. 2014. Audiobooks and the Return of Storytelling. New York Times Op-Ed, February 23. Retrieved June 12, 2015 from http://www.nytimes.com/2014/02/23/opinion/sunday/luhrmann-audiobooks-and-the-return-of-storytelling.html?_r=0

[19]

Kwan-Liu Ma, Isaac Liao, Jennifer Frazier, Helwig Hauser and Helen-Nicole Kostis. 2012. Scientific Storytelling Using Visualization. Computer Graphics and Applications, IEEE 32, 1, 12--19. http://dx.doi.org/10.1109/MCG.2012.24

Digital Library

[20]

Lena Mamykina, Elizabeth Mynatt, Patricia Davidson, and Daniel Greenblatt. 2008. MAHI: investigation of social scaffolding for reflective thinking in diabetes management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '08), 477--486. http://doi.acm.org/10.1145/1357054.1357131

Digital Library

[21]

Alessandro Marcengo and Amon Rapp. 2014. Visualization of Human Behavior Data: The Quantified Self. In Innovative Approaches of Data Visualization and Visual Analytics, Mao Li Huang. and Weidong Huang (Eds.). IGI Global, Hershey, PA, 236--265.

[22]

Richard E. Mayer, Gayle Dow and Sarah Mayer. 2003. Multimedia learning in an interactive self-explaining environment: What works in the design of agent-based microworlds? Journal of Educational Psychology, 95, 806--813.

[23]

Roxana Moreno and Richard E. Mayer. 1999. Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology, 91: 358--368.

[24]

Richard E. Petty and John Cacioppo. 1986. The elaboration likelihood model of persuasion. Advances in experimental social psychology, 19, 123--205.

[25]

Valentina Pisanty. 2012. Narratologia e scienze cognitive. In Narratività: problemi, analisi, prospettive, Anna Maria Lorusso, Claudio Paolucci, Patrizia Violi (Eds.). Bononia University Press, Bologna, IT, 261--278.

[26]

Amon Rapp and Federica Cena. 2014. Self-monitoring and Technology: Challenges and Open Issues in Personal Informatics. Universal Access in Human-Computer Interaction. Design for All and Accessibility Practice, LNCS Volume 8516, 613--622 http://dx.doi.org/10.1007/978-3-319-07509-9_58

[27]

Giacomo Rizzolatti and Laila Craighero. 2004. The mirror-neuron system. Annual Review of Neuroscience, 27, 1, 169--192.

[28]

Marco Tettamanti, Giovanni Buccino, Maria Cristina Saccuman, Vittorio Gallese, Massimo Danna, Paola Scifo, Ferruccio Fazio, Giacomo Rizzolatti, Daniela Perani. 2005. Listening to action-related sentences activates fronto-parietal motor circuits. Journal of cognitive neuroscience 17, 2, 273--281.

Digital Library

Cited By

Rapp ABoldi A(2024)Open Issues in Persuasive Technologies: Six HCI Challenges for the Design of Behavior Change SystemsHuman-Computer Interaction10.1007/978-3-031-60428-7_8(99-116)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60428-7_8
Benabdallah GKaneko MDesjardins A(2023)A Notebook of Data ImaginariesProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596025(431-445)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3596025
Cajamarca GHerskovic VLucero AAldunate A(2022)A Co-Design Approach to Explore Health Data Representation for Older Adults in Chile and EcuadorProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533558(1802-1817)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532106.3533558
Show More Cited By

Index Terms

Narrating the quantified self
1. Human-centered computing

Recommendations

On the Integration of Self-tracking Data amongst Quantified Self Members
BCS-HCI '14: Proceedings of the 28th International BCS Human Computer Interaction Conference on HCI 2014 - Sand, Sea and Sky - Holiday HCI

Self-tracking, the process of recording one's own behaviours, thoughts and feelings, is a popular approach to enhance one's self-knowledge. While dedicated self-tracking apps and devices support data collection, previous research highlights that the ...
Looking for the unusual: how older adults utilize self-tracking techniques for health management
PervasiveHealth '16: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare

Self-tracking applications for health management have become popular both in industry and in academia. Half of older adults in the U.S. track health indicators, but they rarely use technology for that purpose. We conduct a qualitative study to ...
Understanding self-reflection: how people reflect on personal data through visual data exploration
PervasiveHealth '17: Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Rapid advancements in consumer technologies enable people to collect a wide range of personal data. With a proper means for people to ask questions and explore their data, longitudinal data feeds from multiple self-tracking tools pose great ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

September 2015

1626 pages

ISBN:9781450335751

DOI:10.1145/2800835

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Yahoo! Japan: Yahoo! Japan
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
FX Palo Alto Laboratory, Inc.: FX Palo Alto Laboratory, Inc.
Google Inc.
ACM: Association for Computing Machinery
Rakuten Institute of Technology: Rakuten Institute of Technology
Microsoft: Microsoft
Bell Labs: Bell Laboratories
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
KDDI
Panasonic: Panasonic Corporation
NTT DoCoMo
Telefónica: Telefónica
ISTC-PC: Intel Science and Technology Center for Pervasive Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Upcoming Conference

UbiComp '24

Sponsor:
sigchi
sigchi

The 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 5 - 9, 2024

Melbourne , VIC , Australia

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

27
Total Citations
View Citations
583
Total Downloads

Downloads (Last 12 months)26
Downloads (Last 6 weeks)4

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Rapp ABoldi A(2024)Open Issues in Persuasive Technologies: Six HCI Challenges for the Design of Behavior Change SystemsHuman-Computer Interaction10.1007/978-3-031-60428-7_8(99-116)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60428-7_8
Benabdallah GKaneko MDesjardins A(2023)A Notebook of Data ImaginariesProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596025(431-445)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3596025
Cajamarca GHerskovic VLucero AAldunate A(2022)A Co-Design Approach to Explore Health Data Representation for Older Adults in Chile and EcuadorProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533558(1802-1817)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3532106.3533558
Hoefer MSchumacher BVoida S(2022)Personal Dream Informatics: A Self-Information Systems Model of Dream EngagementProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517669(1-16)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517669
Cho JXu TZimmermann-Niefield AVoida S(2022)Reflection in Theory and Reflection in Practice: An Exploration of the Gaps in Reflection Support among Personal Informatics AppsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501991(1-23)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501991
Boldi ARapp A(2022)Quantifying the Body: Body Image, Body Awareness and Self-Tracking TechnologiesQuantifying Quality of Life10.1007/978-3-030-94212-0_9(189-207)Online publication date: 14-Apr-2022
https://doi.org/10.1007/978-3-030-94212-0_9
Soto-Vásquez A(2021)Moving with Fitbit: Body Narratives, Fit Subjectivities, and Racialized DisciplineCommunication Studies10.1080/10510974.2021.201135972:6(1112-1128)Online publication date: 8-Dec-2021
https://doi.org/10.1080/10510974.2021.2011359
Rapp A(2021)Wearable technologies as extensions: a postphenomenological framework and its design implicationsHuman–Computer Interaction10.1080/07370024.2021.192703938:2(79-117)Online publication date: 15-Jul-2021
https://doi.org/10.1080/07370024.2021.1927039
Khot RHjorth LMueller F(2020)ShelfieACM Transactions on Computer-Human Interaction10.1145/337953927:3(1-52)Online publication date: 31-May-2020
https://dl.acm.org/doi/10.1145/3379539
Alfaras MTsaknaki VSanches PWindlin CUmair MSas CHöök KBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)From Biodata to SomadataProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376684(1-14)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376684
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents