We gauged Aussie attitudes to three tracking technologies:
- Mandatory Telecommunication Network Tracking
- A Voluntary Government App
- Apple & Googles Bluetooth Exposure Notification System

And compared these to usage & attitudes towards COVIDSafe after it's launch.
2/10
We collected 4 Representative Samples in April, May & June 2020 & found that the perceived Concern & Risk regarding COVID-19 decreased w/ active cases.

However, Concern for others remained stable over time (Fig: ordinal regression + Bayesian 95% credible intervals).
3/10
As cases decreased, public perception's about their benefits also decreased (compare COVIDSafe in yellow to the 'Government App' in light blue).
4/10
- TRUST in Intentions & Data PRIVACY was higher for Gov Tech vs Apple/Google Tech.

- Perceived RISK was low for COVIDSafe & perceived data CONTROL was relatively high.

- Apple & Google were perceived as collecting more UNNECESSARY data than Gov Tech.
5/10
Even with varying risks & benefits, public acceptance was high for all technologies.

However, COVIDSafe usage was much lower than predicted by the Gov App.

Also, acceptance & intentions to download increased w/ additional privacy measures (e.g., a 6-month Sunset clause).
6/10
Perceptions of COVIDSafe were divided between users & non-users, who were:
- Less likely to understand COVIDSafe tech (see fig)
- Mostly concerned over data privacy, security, Gov surveillance & battery use.
- 33% that will never download the app "didn't need convincing".
7/10
COVIDsafe users (44%) downloaded the app within 1st week of launch (86%) to return to normal activities & safeguard their own/other's health.

89% used COVIDSafe effectively. 94% would upload contact data if infected.

Most P's yet to DL were still weighing the pros & cons.
8/10
Policy Maker's Summary
1) COVID-19 concern for others is critical to acceptance
2) Indecisive P's need to be targeted w/ info about Tech privacy measures.
3) Tech type < important than Tech Privacy.
4) Many non-users decided this without information due to privacy concerns.
9/10
Many thanks to the team who made this work possible: @STWorg at @BristolUni,
@lewis_math at the @UniofAdelaide,
@nicgeard & @dinomirMT at @unimelb,
and @simonjohndennis, @J_P_White, @AndyPerfors, @danielrlittle & Yoshi Kashima in the @CHDHunimelb.
10/10
You can follow @PaulMGarrett.
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