ABSTRACT
While self-tracking data is typically captured real-time in a lived experience, the data is often stored in a manner detached from the context where it belongs. Research has shown that there is a potential to enhance people's lived experiences with data-objects (artifacts representing contextually relevant data), for individual and collective reflections through a physical portrayal of data. This paper expands that research by studying how to design contextually relevant data-objects based on people's needs. We conducted a participatory research project with five households using object theater as a core method to encourage participants to speculate upon combinations of meaningful objects and personal data archives. In this paper, we detail three aspects that seem relevant for designing data-objects: social sharing, contextual ambiguity and interaction with the body. We show how an experience-centric view on data-objects can contribute with the contextual, social and bodily interplay between people, data and objects.
- Amid Ayobi, Tobias Sonne, Paul Marshall, and Anna L. Cox. 2018. Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, NY, NY, USA, Article 28, 14 pages. DOI: http://dx.doi.org/10.1145/3173574.3173602Google ScholarDigital Library
- Rene Baker. 2018. Specialist in puppet and object theatre. (2018). https://renebaker.org/Google Scholar
- Stephen Barrass. 2012. Digital fabrication of acoustic sonifications. AES: Journal of the Audio Engineering Society 60, 9 (2012), 709--715.Google Scholar
- Jacob Buur and Preben Friis. 2015. Object Theatre in Design Education. In Nordes 2015.Google ScholarCross Ref
- Jacob Buur, Sara Said Mosleh, and Christina Fyhn. 2018. Physicalizations of Big Data in Ethnographic Context. Ethnographic Praxis in Industry Conference Proceedings 2018, 1 (2018), 86--103. DOI: http://dx.doi.org/10.1111/1559--8918.2018.01198Google ScholarCross Ref
- 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 SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, NY, NY, USA, 1143--1152. DOI: http://dx.doi.org/10.1145/2556288.2557372Google ScholarDigital Library
- Charles Horton Cooley. 1902. The Looking-Glass Self. (1902), 1--2.Google Scholar
- Jason Patrick de Leon and Jeffrey H. Cohen. 2005. Object and Walking Probes in Ethnographic Interviewing. Field Methods 17, 2 (2005), 200--204. DOI: http://dx.doi.org/10.1177/1525822X05274733Google ScholarCross Ref
- Chris Elsden, Abigail C. Durrant, David Chatting, and David S. Kirk. 2017. Designing Documentary Informatics. (2017), 649--661. DOI: http://dx.doi.org/10.1145/3064663.3064714Google ScholarDigital Library
- Chris Elsden, David S. Kirk, and Abigail C. Durrant. 2016. A Quantified Past: Toward Design for Remembering With Personal Informatics. Human-Computer Interaction 31, 6 (2016), 518--557. DOI: http://dx.doi.org/10.1080/07370024.2015.1093422Google ScholarDigital Library
- Laurie Frick. 2011. Sleep Patterns. (2011). Retrieved September 9, 2019 from https://vimeo.com/21852158Google Scholar
- Bill Gaver and John Bowers. 2012. Annotated Portfolios. Interactions 19, 4 (July 2012), 40--49. DOI: http://dx.doi.org/10.1145/2212877.2212889Google ScholarDigital Library
- William W Gaver, Jacob Beaver, and Steve Benford. 2003. Ambiguity as a resource for design. In Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 233--240.Google ScholarDigital Library
- Choiti Ghosh. 2016. Ordinary Objects in Theater: Breaking Norms | Choiti Ghosh | TEDxMDAE. (2016). https://www.youtube.com/watch?v=FDLAx3dd_LUGoogle Scholar
- Erving Goffman. 1982. The presentation of Self in Everyday Life. the Presentation of Self in Everyday Life (1982), 1--10.Google Scholar
- Yvonne Jansen, Pierre Dragicevic, Petra Isenberg, Jason Alexander, Abhijit Karnik, Johan Kildal, Sriram Subramanian, and Kasper Hornbæk. 2015. Opportunities and Challenges for Data Physicalization. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, NY, NY, USA, 3227--3236. DOI: http://dx.doi.org/10.1145/2702123.2702180Google ScholarDigital Library
- Maria Karyda. 2017. Crafting Collocated Interactions: Exploring Physical Representations of Personal Data. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17). ACM, NY, NY, USA, Article 74, 4 pages. DOI: http://dx.doi.org/10.1145/3098279.3119927Google ScholarDigital Library
- Ingun Grimstad Klepp and Mari Bjerck. 2014. A methodological approach to the materiality of clothing: Wardrobe studies. International Journal of Social Research Methodology 17, 4 (2014), 373--386. DOI: http://dx.doi.org/10.1080/13645579.2012.737148Google ScholarCross Ref
- Bruno Latour. 1987. Science in action: How to follow scientists and engineers through society. Harvard university press.Google Scholar
- 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. ACM, 557--566.Google ScholarDigital Library
- 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). ACM, NY, NY, USA, 405--414. DOI: http://dx.doi.org/10.1145/2030112.2030166Google ScholarDigital Library
- Deborah Lupton. 2014. Self-tracking Cultures: Towards a Sociology of Personal Informatics. In Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: The Future of Design (OzCHI '14). ACM, NY, NY, USA, 77--86. DOI: http://dx.doi.org/10.1145/2686612.2686623Google ScholarDigital Library
- Deborah Lupton. 2016. Personal data practices in the age of lively data. Digital sociologies (2016), 335--50.Google Scholar
- Eleanor Margolies. 2016. Props. Macmillan International Higher Education.Google Scholar
- John McCarthy and Peter Wright. 2004. Technology As Experience. Interactions 11, 5 (Sept. 2004), 42--43. DOI: http://dx.doi.org/10.1145/1015530.1015549Google ScholarDigital Library
- Daniel Miller. 2008. The comfort of things. Polity.Google Scholar
- Andrew Vande Moere. 2008. Beyond the tyranny of the pixel: Exploring the physicality of information visualization. In 2008 12th International Conference Information Visualisation. IEEE, 469--474.Google ScholarDigital Library
- Trine Møller. 2018. Presenting The Accessory Approach: A Start-up's Journey Towards Designing An Engaging Fall Detection Device. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, NY, NY, USA, Article 559, 10 pages. DOI: http://dx.doi.org/10.1145/3173574.3174133Google ScholarDigital Library
- Richard Mortier, Hamed Haddadi, Tristan Henderson, Derek McAuley, and Jon Crowcroft. 2014. Human-data interaction: The human face of the data-driven society. Available at SSRN 2508051 (2014).Google Scholar
- Sean Myatt and Daniel Watt. 2012. From Frozen Sponges to Plastic Bags: Object Theatre-A Developing Network. Puppet Notebook 22 (2012), 19--22.Google Scholar
- Bettina Nissen and John Bowers. 2015. Data-Things: Digital Fabrication Situated Within Participatory Data Translation Activities. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, NY, NY, USA, 2467--2476. DOI: http://dx.doi.org/10.1145/2702123.2702245Google ScholarDigital Library
- Susan Naomi Nordstrom. 2013. Object-interviews: Folding, unfolding, and refolding perceptions of objects. International Journal of Qualitative Methods 12, 1 (2013), 237--257.Google ScholarCross Ref
- Sarah Pink. 2008. Visual anthropology. (2008).Google Scholar
- Zachary Pousman, John Stasko, and Michael Mateas. 2007. Casual information visualization: Depictions of data in everyday life. IEEE transactions on visualization and computer graphics 13, 6 (2007), 1145--1152.Google Scholar
- Alireza Rezaeian and Jared Donovan. 2014. Design of a Tangible Data Visualization. In Proceedings of the 7th International Symposium on Visual Information Communication and Interaction (VINCI '14). ACM, NY, NY, USA, Article 232, 4 pages. DOI: http://dx.doi.org/10.1145/2636240.2636869Google ScholarDigital Library
- John Rooksby, Mattias Rost, Alistair Morrison, and Matthew Chalmers. 2014. Personal Tracking As Lived Informatics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, NY, NY, USA, 1163--1172. DOI: http://dx.doi.org/10.1145/2556288.2557039Google ScholarDigital Library
- Merja Ryöppy, Sofus Bach Poulsen, Pavels Konstantinovs, and Salu Ylirisku. 2018. Object theatre in field studies. In 5th Participatory Innovation ConferenceParticipatory Innovation Conference. 286--293.Google Scholar
- Merja Ryöppy, Salu Ylirisku, and Eva Knutz. 2017. Exploring Power with Object Theatre. In 7th Nordic Design Research ConferenceNordic Design Research Conference.Google Scholar
- Samarth Singhal, William Odom, Lyn Bartram, and Carman Neustaedter. 2017. Time-Turner: Data Engagement Through Everyday Objects in the Home. Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems (2017), 72--78. DOI: http://dx.doi.org/10.1145/3064857.3079122Google ScholarDigital Library
- R. Sosa, V. Gerrard, A. Esparza, R. Torres, and R. Napper. 2018. Data objects: Design principles for data physicalisation. Proceedings of International Design Conference, DESIGN 4 (2018), 1685--1696. DOI: http://dx.doi.org/10.21278/idc.2018.0125Google ScholarCross Ref
- Alex S Taylor, Siân Lindley, Tim Regan, David Sweeney, Vasillis Vlachokyriakos, Lillie Grainger, and Jessica Lingel. 2015. Data-in-place: Thinking through the relations between data and community. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 2863--2872.Google ScholarDigital Library
- Kaiton Williams. 2015. An anxious alliance. In Proceedings of The Fifth Decennial Aarhus Conference on Critical Alternatives. Aarhus University Press, 121--131.Google ScholarDigital Library
- Gary Wolf. 2010. The data-driven life. The New York Times 28 (2010), 2010.Google Scholar
- Sophie Woodward. 2016. Object interviews, material imaginings and 'unsettling'methods: interdisciplinary approaches to understanding materials and material culture. Qualitative Research 16, 4 (2016), 359--374.Google ScholarCross Ref
- Chang Long Zhu, Harshit Agrawal, and Pattie Maes. 2015. Data-objects: Re-designing everyday objects as tactile affective interfaces. 2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015 (2015), 322--326. DOI: http://dx.doi.org/10.1109/ACII.2015.7344590Google ScholarDigital Library
Index Terms
- Imagining Data-Objects for Reflective Self-Tracking
Recommendations
Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing SystemsDigital self-tracking technologies offer many potential benefits over self-tracking with paper notebooks. However, they are often too rigid to support people's practical and emotional needs in everyday settings. To inform the design of more flexible ...
Opportunities and Challenges for Reflective Data-Objects in Long-Distance Relationships
Human-Computer Interaction – INTERACT 2021AbstractPersonal data representations have been used to support acts of self-reflection, a topic that has received little attention in the context of long-distance relationships (LDRs). To explore a design space for reflective data representations in the ...
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 HCISelf-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 ...
Comments