Table 3 Descriptive and inferential statistics for Cluster 1 and 2 for user characteristics and technology perceptions

User characteristics

 Age [M (SD)]

43.06 (14.92)

47.09 (15.17)

t(541) = −3.12

0.002

 Gender [%]*

n. s

  Female

51.1

48.7

  Male

48.9

51.3

 Education [%]*

n. s

  Low

17.0

14.6

  Medium

54.3

56.7

  High

28.7

28.7

 Environmental awareness [M (SD)]

3.32 (0.96)

3.53 (0.86)

t(541) = −2.78

0.006

 Openness to innovation [M (SD)]

2.27 (0.87)

2.42 (0.86)

t(541) = −2.04

0.042

 CO₂ chemical knowledge [M (SD)]

2.79 (1.11)

3.08 (1.32)

t(470.20) = −2.68

0.008

 CO₂ effect knowledge [M (SD)]

3.80 (0.80)

3.88 (0.75)

n. s

Technology perception

 Awareness of CO₂-based jet fuel production [M (SD)]

0.84 (0.98)

0.99 (1.07)

n. s

 Attitude towards CO₂ separation [M (SD)]

2.39 (0.95)

3.80 (0.71)

t(518.00) = −19.86

 < 0.001

 Attitude towards CO₂ purification [M (SD)]

2.49 (0.78)

3.81 (0.58)

t(517.04) = −22.41

 < 0.001

 Attitude towards CO₂ transport [M (SD)]

2.01 (0.87)

3.08 (0.93)

t(541) = −13.89

 < 0.001

 Attitude towards CO₂ conversion [M (SD)]

2.41 (0.81)

3.78 (0.60)

t(515.92) = −22.51

 < 0.001

 Risk perception for separation of CO₂ [M (SD)]

2.46 (0.94)

1.58 (0.83)

t(541) = 11.50

 < 0.001

 Risk perception for purification of CO₂ [M (SD)]

2.11 (1.04)

1.26 (0.86)

t(541) = −10.32

 < 0.001

 Risk perception for transport of CO₂ [M (SD)]

2.88 (0.81)

2.24 (0.89)

t(525.58) = 8.73

 < 0.001

 Risk perception for conversion of CO₂ [M (SD)]

2.77 (0.80)

1.88 (0.76)

t(541) = 13.20

 < 0.001

 CCU benefit perception [M (SD)]

2.71 (0.80)

3.49 (0.69)

t(541) = −12.03

 < 0.001

 CCU barrier perception [M (SD)]

2.93 (0.74)

2.41 (0.73)

t(541) = 8.26

 < 0.001