Research outputs

iRun: a situational, neo-assemblage perspective of information and records in running.

Pretlove, L.J.

PhD thesis, University of Sheffield.

Supervisors: Dr. Andrew Cox, Dr. Laura Sbaffi, Dr. Frank Hopfgartner.

Funder: AHRC Competition Studentship through the White Rose College of the Arts and Humanities [AH/L503848/1]

Abstract

Introduction

Running is a popular leisure activity, and there is great interest and use of data and information amongst its participants. Researching information about running has attracted scholarly attention in human-computer interaction (HCI) and digital sociology through self-tracking studies. There has also been limited attention in research on information behaviour upon embodied representations in short-term information use. Archival science has not considered long term running data practices despite some runners keeping information about their leisure pursuits for a long time. Both information behaviour and archival science have attempted to understand personal information and record creation contexts outside of running. 

This study provides a new lens to understand the interconnected complexity between people who run, technology and information environments. It uses the concept of the neo-assemblage to achieve this understanding. The research also gives a renewed understanding of the types of information runners collect and use, whether they value their running information, and to what extent runners are concerned about its long- term existence and third party involvement with their data. 

Methodology

An innovative mobile method using a 360-degree action camera collected data whilst the researcher ran with four participants asking them questions. The four participants then participated in virtual interviews to understand how they used information created during their running. A virtual interview method collected data from four more participants about their information use in their running activities. The researcher applied situational analysis and a complementary neo-assemblage theory analysis to the collected data. 

Findings

Runners use both embodied information and information derived from devices when running. Both types of information are valuable to a runner’s short-term running goals. Most participants gave little thought to their represented information in the distant future. There is evidence that such information can have emotional meaning for some participants because it is central to their running identity. There was very little concern about how third parties held their personal information, such as running watch companies. Underscoring this is using the neo-assemblage theory lens to understand the interrelated complexity of the human, information and technology in these findings. 

Originality and contribution

The originality of this work is drawing together the study of information behaviour and archival science in a poststructural perspective using situational analysis and neo- assemblage theory. The result contributes a new perspective on the complex relationships between embodied and recorded forms of information, including records, people, and technology. This thesis makes an empirical contribution by documenting the creation and use of information during and after physical activity. This thesis contributes to data collection methods by considering the ethical implications and practicalities of recording data with a 360-degree camera. This data capture method led to a further contribution in using a virtual reality viewer as an immersive technology for data analysis.

Access

White Rose eTheses Online: https://etheses.whiterose.ac.uk/31626

Using a 360° camera as a mobile data collection method towards understanding information types and use in running

Pretlove, L.J., Cox, A. M., Sbaffi, L., and Hopfgartner, F. 

Proceedings of the Association for Information Science and Technology, 83rd Annual Meeting, 25-29 October 2020.

Funder: AHRC Competition Studentship through the White Rose College of the Arts and Humanities [AH/L503848/1]

Abstract

This paper presents a mobile data collection method using a 360° camera developed in an ongoing qualitative doctoral research project. The method captures audio, participant action and the running environment visuals of a situation in an immersive way compared to traditional audio‐video capture. The method contributes towards an understanding of information types, use and value amongst those who run. This paper describes the mobile method, its research context and provides an insight to how the method has contributed to developing findings about information types and use.

Access

White Rose Research Online: https://eprints.whiterose.ac.uk/167138

Proceedings of the Association for Information Science and Technology: https://doi.org/10.1002/pra2.390