Browse
Search
DATASET
Katz_App_adoption_Q1_7.
xlsx
(22.57 kB)
view
download
Download file
DATASET
Katz_FCR_SM_Survey_code_book3.
xlsx
(14.76 kB)
view
download
Download file
DATASET
Katz_FCR_Survey_06_18_17_M_coded.
xlsx
(257.51 kB)
view
download
Download file
DATASET
Katz_WearablesStudy_participant_interviews.
xlsx
(55.84 kB)
view
download
Download file
Next page
Previous page
1/1
Switch View
Switch between different file views
Thumbnail view
List view
File view
4 files
Fullscreen
Supporting Diabetes Self-Management with Ubiquitous Computing Technologies: A User-Centered Inquiry
Cite
Download all
(350.69 kB)
Share
Embed
dataset
posted on 2019-01-24, 13:23
authored by
Dmitri Katz
Dmitri Katz
,
Blaine Price
Blaine Price
Collected as research on adoption of diabetes mobile apps, and the use of ubiquitous computing technologies to support diabetes management.
Funding
UK EPSRC grants EP/L021285/1, EP/P01013X/1 & ERC grant 291652
History
References
https://oro.open.ac.uk/53363/
http://oro.open.ac.uk/53364/
Usage metrics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Categories
Human-computer interaction
Keywords
Diabetes T1
Apps
mobile health
cognitive models
FCR
Fluid contextual reasoning
human computer interaction
HCI
ubiquitous computing
Computer-Human Interaction
Licence
CC BY 4.0
Exports
Select an option
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC
CC BY 4.0