Supporting Real-Time Contextual Inquiry through Sensor Data
Bibliographic Data
| ID | 5948469 |
|---|---|
| Authors | Katerina Gorkovenko (0009-0000-0252-2337, University of Edinburgh), Dan Burnett, Daniel J Burnett (0000-0003-3425-9187, Lancaster University), Dave Murray-Rust (0000-0001-6098-7861, University of Edinburgh), Dave Murray‐rust, James Thorp (0000-0003-1838-2708, Lancaster University), Daniel Richards (0000-0002-5293-3852, Lancaster University) |
| Year | 2019 |
| Volume | 2019 |
| Issue | 1 |
| Pages | 554-581 |
| Publication date | 2019-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ethnographic Praxis in Industry Conference Proceedings (CONFERENCE) |
| Journal identifiers | ISSN: 1559-890X • E-ISSN: 1559-8918 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/1559-8918.2019.01307 |
| OpenAlex | W3004311130 |
| Language | EN |
| Citations received | 2 |
| References cited | 47 |
A key challenge in carrying out product design research is obtaining rich contextual information about use in the wild. We present a method that algorithmically mediates between participants, researchers, and objects in order to enable real-time collaborative sensemaking. It facilitates contextual inquiry, revealing behaviours and motivations that frame product use in the wild. In particular, we are interested in developing a practice of use driven design, where products become research tools that generate design insights grounded in user experiences. The value of this method was explored through the deployment of a collection of Bluetooth speakers that capture and stream live data to remote but co-present researchers about their movement and operation. Researchers monitored a visualisation of the real-time data to build up a picture of how the speakers were being used, responding to moments of activity within the data, initiating text conversations and prompting participants to capture photos and video. Based on the findings of this explorative study, we discuss the value of this method, how it compares to contemporary research practices, and the potential of machine learning to scale it up for use within industrial contexts. As greater agency is given to both objects and algorithms, we explore ways to empower ethnographers and participants to actively collaborate within remote real-time research
Agency (philosophy · Bluetooth · Citizen science · Contextual design · Contextual inquiry · Data collection · Data science · Human–computer interaction · Knowledge management · Product (mathematics · Repurposing · Sensemaking · Sociology · Software deployment · User experience design · User Research · Wireless · Computer Science · Context-Aware Activity Recognition Systems · Engineering · Innovative Human-Technology Interaction · Mobile Crowdsensing and Crowdsourcing · Artificial Intelligence
Alien Phenomenology, or What It's Like to Be a Thing
Evolution of design for sustainability
Unique in the Crowd
Digital Sociology
Data, design, and ethnography
Empowerment
Surveillance on/off
Using thematic analysis in psychology
Numbers Have Qualities Too
The Domestication of Data
Human Sensemaking in the Smart City
Towards Multi-Dimensional Ethnography
Towards an Archaeological-Ethnographic Approach to Big Data
Data and agency
Data colonialism through accumulation by dispossession
Cognitive Structure and Informant Accuracy
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |