FeedFinder: A Location-Mapping Mobile Application for Breastfeeding Women
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 212572-131048-1292
- Type
- E - Conference contribution
- DOI
-
10.1145/2702123.2702328
- Title of conference / published proceedings
- Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
- First page
- 1709
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2015
- URL
-
http://doi.acm.org/10.1145/2702123.2702328
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
C - Open Lab
- Citation count
- 40
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- FeedFinder now has over 9,000 users who have contributed over 3,000 venues and more than 3,200 reviews within the application and continues to grow and support mothers in the UK as well as Europe, USA, Australia, and India. This paper was published in a leading venue for HCI and has been well cited as an example of women-centred HCI research. The EPSRC awarded the FeedFinder project with a Digital Economy Social Impact Award for research that rapidly realises the transformational impact of digital technology on community life, cultural experience, future society and the economy.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -