Examining the impact of animate
and inanimate objects using a free recall experiment task.
Abstract
The research report examines whether humans can recall animate images better than inanimate ones. The study involved 19 psychology students who participated in a free recall experimental task to investigate differences between inanimate and animate stimuli. Animacy plays a significant role in various cognitive processes, including memory (Leding, 2020). Previous research indicates that human cognition can effectively distinguish between living and non-living entities. Based on existing literature, the hypothesis formed was that animate items would be more likely to be remembered than inanimate ones. The results revealed that animate images were better recalled compared to inanimate objects. For future research, it would be beneficial to include age demographics. Since memory tends to decline as individuals age, it would be intriguing to explore whether this could influence memory recall.
Examining the impact of animate
and inanimate objects using a free recall experiment task.
Working memory is a cognitive system that temporarily stores
information, allowing individuals to hold onto specific information for short
periods of time (Towse
et al., 2008). Animate items encompass living things, whereas inanimate items
refer to objects that are not alive (Bonin et al., 2014). Animate objects can
think, learn, and perceive, thanks to their biological structures that enable
reproduction and sustain life (Bonin et al., 2014). Animacy influences basic
memory processes which has been shown to be present from infancy (Leding, 2020)
. It plays a role in language comprehension, perception and reasoning (Nairne
et al., 2017).
The phenomenon, known as the animacy effect, suggests that
animate stimuli are better retained in memory than inanimate ones (Félix et
al., 2023). The animacy effect is still being studied and the mechanisms of how
animacy works have not yet been found (Leding, 2020). One suggestion would be
that they are more likely to capture attention, leading to better memory recall
(Leding, 2020). Studies indicate that animate items are more effectively
retained in memory compared to inanimate items, implying that human memory may
prioritize information relevant to survival (Leding, 2020).
Cognitive processing through natural selection is a major
assumption of evolutionary psychology (Bonin et al., 2014). Research indicates
that attention is drawn more towards animate stimuli than inanimate ones,
reflecting an evolutionary adaptation for survival (Bonin et al., 2014; Serra & DeYoung, 2023). Cognitive
processing depends on information content (Nairne et al., 2013). The brain
regions devoted to processing animate information suggests that it is a
fundamental characteristic of the human cognitive system (Popp & Serra,
2016; Serra & DeYoung, 2023). Evolutionary theorists suggests that there is
memory tuning for fitness relevant information which enhances the odds of
survival and reproduction (Félix et al., 2023). Fitness pressures are said to
quickly detect threats in the environment (Bonin et al., 2014; Serra &
DeYoung, 2023).
A functionalist perspective on memory would say that human
memory evolved to solve crucial adaptive challenges, such as detecting
potential threats and ensuring successful reproduction (Bonin et al., 2014).
The animacy effect shows that our cognitive systems are finely tuned to detect
animate stimuli, providing empirical evidence for the functionalist view of
memory (Leding, 2020). Supporting the idea that remembering animate stimuli
offers significant survival advantages, reinforcing the importance of adaptability
in human cognition (Bonin et al., 2014).
Serra and DeYoung (2023) found that when the study is
self-paced, individuals did not purposely allocate greater attention
processing, animacy naturally triggers richness encoding. Under some conditions
participants can engage in processing inanimate items deeper, which reduces the
animacy advantage. Meinhardt et al. (2020) proposed that animate items may
initially attract attention more strongly than inanimate items, thereby
prompting deeper processing of animate stimuli relative to inanimate ones. In
studies, animacy correlated strongly with recall and indicates it has a
powerful effect on remembering (Nairne et al., 2017).
Retrospective memory tasks have showed animate stimuli is
remembered more than are inanimate stimuli non-living things (Félix et al.,
2023). However, when the existing multiple cues are irrelevant to the task
there is sometimes no animacy effect, such as cued recall (Félix et al., 2023).
Popp and Serra (2016) discovered that animacy impaired cued recall, but this
impairment was not observed in free recall, which was consistent with previous
findings. Free recall is when participants must list words and recall as many
as they remember (Garlitch et al., 2023). Adult The results showed that animacy
enhances free recall of word lists but impairs cued recall (Popp & Serra,
2016).
The study required participants to complete a free recall
task to examine the memory recall for inanimate and animate objects. The
research aim of the study was to examine the influence of animacy on free
recall. The data collected was used as an experimental memory task to
empirically investigate this phenomenon. The current literature indicated the hypothesis
that animate items will more than likely be remembered than inanimate items. Completing
this study will enhance the understanding of published research and possibly strengthen
the evidence already found.
Method
Participants
A convenience sample was found by an
invitation which was distributed via Moodle to psychology students.
Participants were over 18 years old. Twenty-one individuals participated.
However, two were removed due to incomplete information in the data.
Design
The design was an experiment which
was within-subjects as all participants completed the same conditions. The independent
variable was the stimuli pictures; animate and inanimate. The dependent
variable was the memory score. There were 12 animate target stimuli of living
things and 12 inanimate stimuli of non-living things. These were filtered by
familiarity of concept, mental imagery agreement and inanimate/animate
classification. The objects were presented for 3 seconds (3000ms) with a
fixation cross in between each one for 1 second (1000ms) and presented
randomly. The object names were below the image. After that, arithmetic
questions were asked to distract the researcher. These consisted of basic
subtraction, addition, multiplication, division. Participants were asked to
complete each exercise as quickly as possible in 2 minutes. Finally,
individuals had to freely recall as many of the objects by writing the object
name and object colour down. Individuals had 4 minutes to do this. There were
24 boxes available to write answers down. Once completed participants were
informed of the experiment that was written in the debrief.
Measures / Stimuli / Materials
For this study participants
needed access to a computer or laptop with a keyboard, a tablet or smart phone
with a stable internet. The study was hosted on Gorilla.sc. which is a secure
online platform for conducting quantitative experiments. No additional software
was needed for this study. Stimuli images were sourced from Williams et al.
(2023) from an experimental database through the Open Science Framework. Animate
images consisted of animals for example a duck and a chicken. Inanimate images
consisted of objects, for example a needle and a bell. All 24 images can be
found at the bottom on the appendix. Once data was collected, it was then
analysed using SSPS statistical software.
Procedure
Participants were asked to read a
privacy notice and were given an information sheet prior to the experiment. The
information sheet included further details about how personal information was
being stored and how long it was retained for. It was promised that all the
information stored was anonymous. Participants were also asked to sign a
consent form prior to the experiment. If this was not completed, participants
were thanked for the time and signed out. Participants were asked to engage in
an experimental task which took approximately 15 minutes to complete.
Participants were first asked
demographic questions about eyesight; if they were colourblind and whether they
had normal/corrected to normal vision. Then, they were asked to complete a
cognitive task that is designed to test internal cognitive processes. The
cognitive task consisted of being shown a set of coloured images of everyday
objects and living things. Followed by an arithmetic phase. After that,
participants were asked to complete another phase which focused on free recall.
Here they were provided boxes to recall as many items as possible. After the
experiment they were given a debrief, as well as being provided with a unique
ID number. Individuals could react differently to stimuli so appropriate
signposting and sources of support were provided at the end of the study in
case anyone was distressed with anything regarding the study.
Ethical Considerations
When completing the experiment,
participants were encouraged to take breaks and wear contacts or glasses if necessary
to reduce eyestrain. All participants were treated with respect and treated
fairly without discrimination. Due to the nature of the experiment, a little deception
at the beginning of the experiment was used so the participants did not know
the outcome of the experiment, this will reduce biases (Bortolotti &
Mameli, 2006). Potential harm was evaluated, with the benefits outweighing the
negatives.
Ethical approval
was granted on 20.03.2024 by the University Research Ethics sub-committee. All
participants had the right to withdraw from the study for up to two weeks after
the data was collected. Data was recorded and stored safely. Confidentiality
and protection of the participant was ensured, as well as the researcher. The University
will be responsible as they hold the data under data protection legislation. If
anyone had queries, they were instructed to contact the University’s Data
Protection Officer. All data collected was anonymised and stored in accordance
with the Data Protection Act (2018). Standards were followed by the British
Psychological Society (Oates et al., 2021). Participants are also encouraged to
read the University’s privacy policy.
Results
A reliability analysis was
performed on the animate (M= 3.32 SD=3.15) and inanimate items(M=2.47 SD=2.87),
having a Cronbach's alpha coefficient of (α = 0.90), indicating an acceptable
level of reliability (Amirrudin et al., 2021). A Shapiro-Wilk test was
conducted to test for normality revealing that both animate and inanimate
stimuli were not normally distributed W(19)= .78, p, .001. Therefore, a non-parametric test was used instead of
a Paired T-Test.
The Wilcoxon signed rank test
revealed that the animate images (md= 0.25 n=19) were significantly higher than
inanimate images (md 0.09= n=19) meaning they were recalled more than inanimate
images. z= -1.48, p=0.14, with a small effect size, r= -0.08. The p value was
over 0.5, meaning there is a statistically significant effect on scores.
Discussion
Due to the distribution of the data being not normally
distributed, this violated the assumptions of a parametric test. Therefore, a
non-parametric approach was used. Specifically, a Wilcoxon signed rank test was
utilized to compare the means of the two conditions (Fay & Proschan, 2010).
A paired t-test would have been used if the data had met the assumptions of
normality. However, given that the data was skewed, a non-parametric test was
used.
The present study investigated the recall of
animate and inanimate images, with a focus on understanding potential
differences in memory between these categories. The findings revealed a
significant difference in recall performance, with animate images being better
recalled than inanimate images. This outcome aligns with previous research,
suggesting that animate stimuli are more effectively encoded and retained in
memory compared to inanimate stimuli (Leding, 2020).
Leding (2020) proposed that cognitive systems are
finely tuned to detect animate stimuli, which is support by the results of the
experiment. The results align with a functionalist view of memory, which states
that memory systems have evolved to prioritize information that is most
relevant for survival and adaptive behaviour (Bonin et al., 2014).
The experiment was a useful tool for investigating memory
mechanisms and a deeper understanding of this phenomenon (Cleary, 2018). For
future research, age demographics could have been considered to investigate
potential effects on memory performance (Garlitch et al., 2023). Research
indicates that memory tends to decline with age (Wilson et al., 2020; Wrigglesworth
et al., 2022). Therefore, incorporating age as a demographic variable would
have allowed for an examination to see if age impacts memory recall.
The sample representativeness is also an issue
with the study, which is a fundamental methodological issue in social sciences
(Hultsch, 2002). The study consisted of only psychology students. Therefore, is
not representative to the broader population which limits the generalisation of
findings (Stratton, 2021). Convenience sampling can lack generalizability and
cause bias in the sample, making it one of the main drawbacks of convenience
sampling (Emerson 2021; Stratton, 2021).
Individual differences may be a limitation to
this study. While some participants might possess fast typing skills, others
may take longer to type their recalled items (Lindsey & Logan, 2021). This
could falsely suggest a difference in memory performance, even though all
participants might have the same level of knowledge (Bouriga & Olive, 2021)
Hence, individuals who type quickly might appear to have a memory advantage,
potentially skewing the results (Özer & Göksun, 2020).
Overall, the current findings have contributed
to the literature, supporting the belief that animate stimuli are privileged in
memory processing, potentially due to their evolutionary significance and
relevance for adaptive behaviour. Memory recall tests focusing on animacy
provide valuable insights into cognitive functioning and memory processes, also
acknowledging potential limitations and biases. These finding contribute to the
understanding that humans have better memory for animate items compared to
inanimate ones, enriching existing data.
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Appendix
Inanimate stimuli:












Animate stimuli:












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