Svetlana Smirnova
Biographic Data
| ID | 7341436 |
|---|---|
| NAME | Svetlana Smirnova |
| GIVEN NAMES | Svetlana |
| FAMILY NAME | Smirnova |
| SIGNATURE | SMIRNOVA S |
| AFFILIATIONS | Simon Fraser University |
| ORCID | 0000-0002-7978-1780 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Algorithmic Self-Tracking for Health
Self-tracking with wearable devices and mobile applications is a popular practice that relies on automated data collection and algorithm-driven analytics. Initially designed as a tool for personal use, a variety of public and corporate actors such as commercial organizations and insurance companies now make use of self-tracking data. Associated social risks such as privacy violations or measurement inaccuracies have been theoretically derived, al…
Keeping up” through Teaching and Learning Media Software
Research on cultural industries suggests that the constant and rapid change to digital technologies used by creative practitioners requires that they continually upgrade their skills in order to remain relevant in their occupations. In this article, we present the results of an investigation into the mediation of Photoshop, focusing on how this digital imaging application software and its content are used to mediate access to cultural work. Teach…
No prominent works on this page.
Keeping up” through Teaching and Learning Media Software
Research on cultural industries suggests that the constant and rapid change to digital technologies used by creative practitioners requires that they continually upgrade their skills in order to remain relevant in their occupations. In this article, we present the results of an investigation into the mediation of Photoshop, focusing on how this digital imaging application software and its content are used to mediate access to cultural work. Teach…
Algorithmic Self-Tracking for Health
Self-tracking with wearable devices and mobile applications is a popular practice that relies on automated data collection and algorithm-driven analytics. Initially designed as a tool for personal use, a variety of public and corporate actors such as commercial organizations and insurance companies now make use of self-tracking data. Associated social risks such as privacy violations or measurement inaccuracies have been theoretically derived, al…
Computer Science (2 works) · Psychology (2 works) · Analytics (1 work) · Art Education and Development (1 work) · Business (1 work) · Cultural Industries and Urban Development (1 work) · Data science (1 work) · Digital media (1 work) · Digital Mental Health Interventions (1 work) · Engineering (1 work)