Auditory distraction can be studied online! A direct comparison between in-person and online experimentation
Abstract
Referring to the well-replicated finding that the presence of to-be-ignored sound disrupts short-term memory for serially-presented visual items, the irrelevant sound effect (ISE) is an important benchmark finding within cognitive psychology. The ISE has proven useful in evaluating the structure, function and development of short-term memory. This preregistered report focused on a methodological examination of the paradigm typically used to study the ISE and sought to determine whether the ISE can be reliably studied using the increasingly popular method of online testing. Comparing Psychology students tested online, in-person and participants from an online panel, results demonstrated successful reproduction of the key signature effects of auditory distraction (the changing-state effect and the steady-state effect), albeit smaller effects with the online panel. Our results confirmed the viability of online data collection for auditory distraction research and provided important insights for the accumulation and maintenance of high data quality in internet-based experimentation.
Study specs
- Authors
- EM Elliott,R Bell,S Gorin,N Robinson
- Discipline
- Cognitive Science,Experimental Psychology
- Year
- 2022
- Human Data Platform
- Prolific
- Source
- View Source Google Scholar
Peer Review & Critical Discussion
Potential Selection Bias in 2023 Cohort
The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.
Non-naive Participants Issue
I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.
RLHF Applicability to This Study Design
The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.
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