'ArchivX – the role of explanations in assistive systems' (AsPredicted #48259)
Author(s) This pre-registration is currently anonymous to enable blind peer-review. It has 2 authors.
Pre-registered on 09/24/2020 06:20 AM (PT)
1) Have any data been collected for this study already? No, no data have been collected for this study yet.
2) What's the main question being asked or hypothesis being tested in this study? H1: In digital assistive systems, explanations lead to a) higher acceptance of the system’s proposals, b) more cognitive trust, c) more affective trust, d) more credibility, e) less informational insecurity, and f) faster resumption of the primary task compared to no explanations.
H2: Informational insecurity mediates the effect of explanations on acceptance, trust, credibility and resumption times.
H3: Need for cognition moderates the effect of explanations on a) acceptance b) cognitive trust, c) affective trust, d) credibility, e) informational insecurity, and f) resumption times. The effects should be stronger for people with higher need for cognition.
H4: Conscientiousness moderates the effect of explanations on a) acceptance b) cognitive trust, c) affective trust, d) credibility, e) informational insecurity, and f) resumption times. The effects should be stronger for people with higher conscientiousness.
3) Describe the key dependent variable(s) specifying how they will be measured. Acceptance of the system’s proposals is measured by participants’ decisions within the task (yes/no).
Participants will rate cognitive trust, affective trust, credibility and informational insecurity in the assistive system’s suggestions on a 5-point scale (1 = do not agree at all; 5 = fully agree). Mean values will be calculated.
Resumption times will be measured automatically within the online questionnaire.
Memory and forgetting of information content will be assessed using a recognition test.
4) How many and which conditions will participants be assigned to? As the study relies on a 2 (explanation/ no explanation) x 2 (familiar/ unfamiliar material) within design, all participants will perform the same task.
5) Specify exactly which analyses you will conduct to examine the main question/hypothesis. Analysis of variance, multiple regression and mediation analysis.
6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations. Participants will be excluded if they do not participate in all parts of the study due to e.g. spontaneous dropouts.
7) How many observations will be collected or what will determine sample size? No need to justify decision, but be precise about exactly how the number will be determined. We will stop data collection once 40 participants have participated.
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) Exploratory research question: Do explanations also lead to better forgetting of information compared to no explanations?