Table 3 Tests of the blame hypothesis, according to which justifications (compared to Mere explanations) mitigate blame.

From: The power of justifications to repair human-robot trust, even under moral disagreement

Experiment—Dilemma

Agent

Justifications mitigate blame

For both decisions

For one decision

\(\:{\eta}_{p}^{2}\)

Significance test

\(\:{\eta}_{p}^{2}\)

Significance test

1— Hunger Strike

Robot

0.3%

F(1,339) < 1, p =.86

2.8%

F(1,339) = 10.1, p =.002**

2— Hunger Strike (c)

Robot

3.3%

F(1,355) = 12.3, p =.001*

2.6%

F(1,355) = 9.6, p =.002**

2— DNR

Robot

0.2%

F(1,406) = 0.8, p =.373

2.7%

F(1,406) = 11.4, p =.001**

3— DNR (a)

Robot

2.6%

F(1,389) = 10.2, p =.002*

0.6%

F(1,389) = 2.3, p =.13

3— DNR (b)

Human

4.8%

F(1,488) = 24.4, p = < 0.001*

0.1%

F(1,488) = 0.3, p =.58

3— Toxic Gas

Robot

2.2%

F(1,332) = 7.5, p =.006*

0.0%

F(1,332) = 0.1, p =.72

3— Toxic Gas

Human

1.7%

F(1,509) = 8.9, p =.003*

0.8%

F(1,509) = 4.4, p =.04**

  1. Note: * denotes a statistically significant two-way interaction between Blame change x Response.
  2. ** denotes a statistically significant three-way interaction between Blame change × Response × Decision. Letters inside parentheses correspond to panels depicted in Fig. 2.