Table 2. Open in new tab Sample 2...

Hypothesis

H1b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived relative advantage, such that those with darker skin tones will perceive more relative advantage than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.

H2b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived compatibility, such that those with darker skin tones will perceive more compatibility than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.

H3b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived observability, such that those with darker skin tones will perceive more observability than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.

H4b: Those with lighter skin tones will engage in reinvention of technology using image recognition algorithms less often than those with dark skin tones.

H5b. Algorithm awareness will moderate the relationship between skin tone and image recognition algorithm use such that those who have darker skin tones and increased levels of algorithm awareness will use facial recognition algorithms more than those who have lighter skin tones or lower levels of algorithm awareness.

H6b: The effect of skin tone on the use of image recognition algorithms will be mediated by reinvention such that those with darker skin tones will engage in reinvention of technology using image recognition algorithms more than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.

H7b: Algorithm awareness will moderate the mediated relationships proposed in H1b-H3b, and H5b, such that as algorithm awareness increases, so too does use of image recognition algorithms.

Table 2.

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Sample 2 hypotheses

Hypothesis
H1b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived relative advantage, such that those with darker skin tones will perceive more relative advantage than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H2b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived compatibility, such that those with darker skin tones will perceive more compatibility than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H3b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived observability, such that those with darker skin tones will perceive more observability than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H4b: Those with lighter skin tones will engage in reinvention of technology using image recognition algorithms less often than those with dark skin tones.
H5b. Algorithm awareness will moderate the relationship between skin tone and image recognition algorithm use such that those who have darker skin tones and increased levels of algorithm awareness will use facial recognition algorithms more than those who have lighter skin tones or lower levels of algorithm awareness.
H6b: The effect of skin tone on the use of image recognition algorithms will be mediated by reinvention such that those with darker skin tones will engage in reinvention of technology using image recognition algorithms more than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H7b: Algorithm awareness will moderate the mediated relationships proposed in H1b-H3b, and H5b, such that as algorithm awareness increases, so too does use of image recognition algorithms.

Hypothesis
H1b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived relative advantage, such that those with darker skin tones will perceive more relative advantage than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H2b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived compatibility, such that those with darker skin tones will perceive more compatibility than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H3b: The effect of skin tone on the use of image recognition algorithms will be mediated by perceived observability, such that those with darker skin tones will perceive more observability than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H4b: Those with lighter skin tones will engage in reinvention of technology using image recognition algorithms less often than those with dark skin tones.
H5b. Algorithm awareness will moderate the relationship between skin tone and image recognition algorithm use such that those who have darker skin tones and increased levels of algorithm awareness will use facial recognition algorithms more than those who have lighter skin tones or lower levels of algorithm awareness.
H6b: The effect of skin tone on the use of image recognition algorithms will be mediated by reinvention such that those with darker skin tones will engage in reinvention of technology using image recognition algorithms more than those with lighter skin tones, increasing the use of image recognition algorithms among users with darker skin tones.
H7b: Algorithm awareness will moderate the mediated relationships proposed in H1b-H3b, and H5b, such that as algorithm awareness increases, so too does use of image recognition algorithms.

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