| Literature DB >> 25228889 |
Doron Friedman1, Rodrigo Pizarro2, Keren Or-Berkers1, Solène Neyret2, Xueni Pan3, Mel Slater4.
Abstract
We introduce a new method, based on immersive virtual reality (IVR), to give people the illusion of having traveled backwards through time to relive a sequence of events in which they can intervene and change history. The participant had played an important part in events with a tragic outcome-deaths of strangers-by having to choose between saving 5 people or 1. We consider whether the ability to go back through time, and intervene, to possibly avoid all deaths, has an impact on how the participant views such moral dilemmas, and also whether this experience leads to a re-evaluation of past unfortunate events in their own lives. We carried out an exploratory study where in the "Time Travel" condition 16 participants relived these events three times, seeing incarnations of their past selves carrying out the actions that they had previously carried out. In a "Repetition" condition another 16 participants replayed the same situation three times, without any notion of time travel. Our results suggest that those in the Time Travel condition did achieve an illusion of "time travel" provided that they also experienced an illusion of presence in the virtual environment, body ownership, and agency over the virtual body that substituted their own. Time travel produced an increase in guilt feelings about the events that had occurred, and an increase in support of utilitarian behavior as the solution to the moral dilemma. Time travel also produced an increase in implicit morality as judged by an implicit association test. The time travel illusion was associated with a reduction of regret associated with bad decisions in their own lives. The results show that when participants have a third action that they can take to solve the moral dilemma (that does not immediately involve choosing between the 1 and the 5) then they tend to take this option, even though it is useless in solving the dilemma, and actually results in the deaths of a greater number.Entities:
Keywords: body ownership; time travel; trolley problem; virtual reality
Year: 2014 PMID: 25228889 PMCID: PMC4151165 DOI: 10.3389/fpsyg.2014.00943
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1The gallery room scenario. (A) A participant wearing the head-mounted display and the motion capture suit. (B) The gallery with three visitors at the upper level, 1 on the ground level, and 2 waiting to be taken up. The workbench is shown with the up and down elevator control buttons and the red alarm button. The mirror reflects the virtual body of the participant (here female), which can also be seen from behind. The participants saw the environment from the first person perspective of the body, and the virtual body was coincident in space with their real body. (C) The gunman shoots at the five people on the upper level. (D) The time travel (2nd time around)—where the participant is embodied in the rightmost body by the workbench, and sees his previous self-carrying out the actions from the 1st time around. (E) The time travel 3rd time around, where the gunman is shooting. The participant is in the leftmost body behind the workbench, and the two earlier clones are to his right. (F) A close up of the embodiment illustrating visuomotor synchrony. Here the participant sees through the eyes of the virtual body and as she raises her arms the arms of the virtual body raise synchronously, and this is also seen in the mirror reflection.
Questions for body ownership, agency, presence, and guilt.
| Body ownership | Even though the virtual body I saw did not look like me, I had the sensation that the virtual body I saw in the mirror was mine. | |
| Even though the virtual body I saw did not look like me, I had the sensation that the virtual body that I saw when I looked down at myself, was mine. | ||
| I felt that the virtual body that I saw was someone else. | ||
| Overall even though the virtual body I saw did not look like me I had the sensation that the virtual body I saw was my body. | ||
| Agency | The virtual body moved according to my movements. | |
| Presence | I had the sensation of being in the gallery | |
| There were times when the gallery was more real for me than the laboratory in which everything was really taking place. | ||
| How much did you find yourself responding to the visitors as if they were real people? | ||
| Guilt and self-assessment | Do you feel any guilt about what happened to the visitors? | |
| I tried my best to save the visitors from the shooting. |
All responses on a 1–7 scale with 1 meaning most disagreement with the statement, and 7 most agreement.
Factor analysis for body ownership questions.
| 0.94 | 0.11 | |
| 0.78 | 0.40 | |
| −0.79 | 0.38 | |
| 0.96 | 0.08 |
Figure 2Box plots for the presence and body ownership and agency illusion questions. The thick horizontal lines are the medians, and the boxes the interquartile ranges. The whiskers extend to 1.5 the interquartile range or the extreme values in both directions. Values outside of this are shown as single point outliers.
Mean and standard errors of numbers of actions by condition.
| 2.1 | 0.51 | 2.1 | 0.52 | |
| 4.5 | 0.74 | 3.5 | 0.58 | |
Mean and standard errors of numbers shot by condition.
| 2.3 | 0.48 | 1.2 | 0.43 | |
| 2.2 | 0.58 | 1.5 | 0.49 | |
Figure 3Path analysis corresponding to Table . The directional edges represent hypothesized directions of causality. The numbers on the edges are the coefficients of the linear predictor of the corresponding model fit. The variables in plain boxes are treated as linear normal models, and the specific model is otherwise shown in the remaining boxes.
Path analysis corresponding to Figure .
| −0.151 | 0.065 | 0.021 | −0.279 | −0.023 | |
| −0.031 | 0.319 | 0.923 | −0.656 | 0.594 | |
| 0.131 | 0.284 | 0.644 | −0.425 | 0.688 | |
| −4.302 | 1.777 | 0.015 | −7.784 | −0.820 | |
| 0.849 | 0.070 | 0.000 | 0.712 | 0.985 | |
| −0.058 | 0.000 | 0.000 | −0.059 | −0.058 | |
| −0.344 | 0.250 | 0.169 | −0.835 | 0.146 | |
| 0.130 | 0.018 | 0.000 | 0.095 | 0.165 | |
| 0.241 | 0.115 | 0.036 | 0.015 | 0.468 | |
| 0.548 | 0.014 | 0.000 | 0.521 | 0.575 | |
| 0.804 | 0.259 | 0.002 | 0.297 | 1.311 | |
| −0.060 | 0.050 | 0.230 | −0.159 | 0.038 | |
| 0.548 | 0.071 | 0.000 | 0.408 | 0.687 | |
| 0.503 | 0.754 | 0.504 | −0.974 | 1.981 | |
| 0.198 | 0.053 | 0.000 | 0.093 | 0.303 | |
| 0.892 | 0.524 | 0.089 | −0.136 | 1.920 | |
| 16.832 | 3.486 | 0.000 | 9.999 | 23.665 | |
| 0.764 | 0.119 | 0.000 | 0.530 | 0.997 | |
| −2.901 | 1.226 | 0.018 | −5.303 | −0.499 | |
| 6.679 | 12.222 | 0.585 | −17.276 | 30.634 | |
In the first column the dependent variables are shown in bold. Condition has Repetition = 0, Time Travel = 1. Constant refers to the intercept term of the linear predictor of each model equation. .
Figure 4Scatter diagram of .
Figure 5Scatter diagram of .
Ordered logistic regression for .
| 0.038 | 1.122 | 0.973 | −2.162 | 2.238 | |
| 0.034 | 0.291 | 0.907 | −0.536 | 0.604 | |
| 0.542 | 0.027 | 0.000 | 0.490 | 0.595 | |
| 1.013 | 0.003 | 0.000 | 1.007 | 1.020 | |
| −1.065 | 0.045 | 0.000 | −1.154 | −0.976 | |
Condition has Repetition = 0, Time Travel = 1. Constant refers to the intercept term of the linear predictor. .