- The study tested Attention Restoration Theory which posits that natural environments restore directed attention abilities depleted in urban settings. Two experiments were conducted using the Remote Associates Test to measure creative cognition before and after viewing nature vs urban videos.
- The first experiment found a 12% increase in scores for those who viewed nature videos and a 5% increase for urban videos. However, doubling the video time in the second experiment eliminated the effect.
- The researchers concluded that outdoor immersion likely has a stronger restorative effect than lab videos and that more sensitive direct measures of attention are needed for indoor studies. Future work should consider scenes shown to maximally induce restoration and direct physiological measurements.
Viewing Cute Images Increases Behavioral Carefulness
Gary D. Sherman, Jonathan Haidt, and James A. Coan
University of Virginia
Infantile physical morphology—marked by its “cuteness”—is thought to be a potent elicitor of caregiv-
ing, yet little is known about how cuteness may shape immediate behavior. To examine the function of
cuteness and its role in caregiving, the authors tested whether perceiving cuteness can enhance behavioral
carefulness, which would facilitate caring for a small, delicate child. In 2 experiments, viewing very cute
images (puppies and kittens)—as opposed to slightly cute images (dogs and cats)—led to superior
performance on a subsequent fine-motor dexterity task (the children’s game “Operation”). This suggests
that the human sensitivity to those possessing cute features may be an adaptation that facilitates caring
for delicate human young.
Keywords: cuteness, nurturance, care, fine-motor skill
Humans are highly attuned to the physical features that characterize
their young, such as a large rounded forehead, large low-set eyes, and
a small chin (Alley, 1981, 1983a; Huckstedt, 1965). Those who
possess these features are deemed “cute” and are the object of a
variety of nurturing and affectionate impulses, such as high-pitched
vocalizations (i.e., “baby talk”; Spindler, 1961; Zebrowitz, Brownlow,
& Olson, 1992), preferential looking (Hildebrandt & Fitzgerald,
1981), leniency (McCabe, 1988), and protectiveness (Alley, 1983b).
This research suggests that the tendency to respond emotionally to
infantile physical features may promote the provision of care, espe-
cially to infants, who are otherwise helpless due to their physical and
neural immaturity. However, the exact ways in which cuteness may
enhance care are not yet fully understood. Cuteness might simply and
only strengthen adults’ emotional attachments to infants, thereby
increasing their willingness to care for them. Alternatively, the affec-
tive “cute response” may include a behavioral component that facil-
itates caregiving itself. Because caring for a small, delicate child
requires one to act with great care, we reasoned that cuteness cues
might stimulate increased attention to, and control of, motor behavior.
We therefore predicted that seeing cuteness will increase behavioral
carefulness. In two experiments, we tested this prediction by having
participants view a slide show that contained images of animals. We
varied the age—and thus cuteness— of the animals experimentally
(varying the age of animals depicted in photographs influences per-
ceived cuteness across a range of species, including dogs and cats;
Sanefuji, Ohgami, & Hashiya, 2007). Because high levels of careful-
ness seem more critical for fine-motor movements (e.g., brain sur-
gery) than for gross-motor movements (e.g., running), we used per-
formance on a fine-motor dexterity task as an index of behavioral
carefulness.
Standard laboratory dexterity tasks score performance as the
number of object ...
Viewing Cute Images Increases Behavioral Carefulness
Gary D. Sherman, Jonathan Haidt, and James A. Coan
University of Virginia
Infantile physical morphology—marked by its “cuteness”—is thought to be a potent elicitor of caregiv-
ing, yet little is known about how cuteness may shape immediate behavior. To examine the function of
cuteness and its role in caregiving, the authors tested whether perceiving cuteness can enhance behavioral
carefulness, which would facilitate caring for a small, delicate child. In 2 experiments, viewing very cute
images (puppies and kittens)—as opposed to slightly cute images (dogs and cats)—led to superior
performance on a subsequent fine-motor dexterity task (the children’s game “Operation”). This suggests
that the human sensitivity to those possessing cute features may be an adaptation that facilitates caring
for delicate human young.
Keywords: cuteness, nurturance, care, fine-motor skill
Humans are highly attuned to the physical features that characterize
their young, such as a large rounded forehead, large low-set eyes, and
a small chin (Alley, 1981, 1983a; Huckstedt, 1965). Those who
possess these features are deemed “cute” and are the object of a
variety of nurturing and affectionate impulses, such as high-pitched
vocalizations (i.e., “baby talk”; Spindler, 1961; Zebrowitz, Brownlow,
& Olson, 1992), preferential looking (Hildebrandt & Fitzgerald,
1981), leniency (McCabe, 1988), and protectiveness (Alley, 1983b).
This research suggests that the tendency to respond emotionally to
infantile physical features may promote the provision of care, espe-
cially to infants, who are otherwise helpless due to their physical and
neural immaturity. However, the exact ways in which cuteness may
enhance care are not yet fully understood. Cuteness might simply and
only strengthen adults’ emotional attachments to infants, thereby
increasing their willingness to care for them. Alternatively, the affec-
tive “cute response” may include a behavioral component that facil-
itates caregiving itself. Because caring for a small, delicate child
requires one to act with great care, we reasoned that cuteness cues
might stimulate increased attention to, and control of, motor behavior.
We therefore predicted that seeing cuteness will increase behavioral
carefulness. In two experiments, we tested this prediction by having
participants view a slide show that contained images of animals. We
varied the age—and thus cuteness— of the animals experimentally
(varying the age of animals depicted in photographs influences per-
ceived cuteness across a range of species, including dogs and cats;
Sanefuji, Ohgami, & Hashiya, 2007). Because high levels of careful-
ness seem more critical for fine-motor movements (e.g., brain sur-
gery) than for gross-motor movements (e.g., running), we used per-
formance on a fine-motor dexterity task as an index of behavioral
carefulness.
Standard laboratory dexterity tasks score performance as the
number of object ...
Se describe cómo la retina envía señales por más de una vía en el cerebro. La mayor parte de la información viaja a través del tálamo a la corteza visual y luego a las regiones que llevan a cabo el procesamiento consciente. Sin embargo, algunos datos divergen en el centro motor y el núcleo supraquiasmático, el reloj biológico del cuerpo, lo que permite a ciertos individuos ciegos poseer una habilidad inconsciente para sortear obstáculos.
Psychlab is a simulated psychology laboratory inside the first-person 3D
game world of DeepMind Lab (Beattie et al., 2016). Psychlab enables im-
plementations of classical laboratory psychological experiments so that they
work with both human and artificial agents. Psychlab has a simple and flex-
ible API that enables users to easily create their own tasks. As examples,
we are releasing Psychlab implementations of several classical experimen-
tal paradigms including visual search, change detection, random dot motion
discrimination, and multiple object tracking. We also contribute a study
of the visual psychophysics of a specific state-of-the-art deep reinforcement
learning agent: UNREAL (Jaderberg et al., 2016). This study leads to the
surprising conclusion that UNREAL learns more quickly about larger target
stimuli than it does about smaller stimuli. In turn, this insight motivates
a specific improvement in the form of a simple model of foveal vision that
turns out to significantly boost UNREAL’s performance, both on Psychlab
tasks, and on standard DeepMind Lab tasks. By open-sourcing Psychlab we
hope to facilitate a range of future such studies that simultaneously advance
deep reinforcement learning and improve its links with cognitive science.
A PROCEDURE FOR IDENTIFYING PRECURSORS TOPROBLEM BEHAVIOR.docxbartholomeocoombs
A PROCEDURE FOR IDENTIFYING PRECURSORS TO
PROBLEM BEHAVIOR
BRANDON HERSCOVITCH, EILEEN M. ROSCOE, MYRNA E. LIBBY,
JASON C. BOURRET, AND WILLIAM H. AHEARN
NEW ENGLAND CENTER FOR CHILDREN
NORTHEASTERN UNIVERSITY
We describe a procedure for differentiating among potential precursor responses for use in a
functional analysis. Conditional probability analysis of descriptive assessment data identified
three potential precursors. Results from the indirect assessment corresponded with those
obtained from the descriptive assessment. The top-ranked response identified as a precursor
according to the indirect assessment had the strongest relation according to the probability
analysis. When contingencies were arranged for the precursor in a functional analysis, the same
function was identified as for target behavior, supporting the utility of indirect and descriptive
methods to identify precursor behavior empirically.
DESCRIPTORS: descriptive assessment, functional analysis, precursors, problem behavior,
response-class hierarchies
_______________________________________________________________________________
Functional analysis (Iwata, Dorsey, Slifer,
Bauman, & Richman, 1982/1994) involves
manipulating antecedents and consequences
for the target behavior of interest. Because a
functional analysis requires the repeated occur-
rence of a target response, it may not be
appropriate for response topographies that pose
risk of harm to others (e.g., severe aggression) or
the client (e.g., self-injury). One modification
that has addressed this concern involves a
functional analysis of precursor behavior (i.e.,
arranging contingencies for responses that
reliably precede the target behavior) based on
previous research showing that response topog-
raphies that occur in close temporal proximity
are often members of the same response class,
and by providing differential reinforcement for
earlier responses in the response-class hierarchy,
later more severe responses occur less often
(Harding et al., 2001; Lalli, Mace, Wohn, &
Livezey, 1995; Richman, Wacker, Asmus,
Casey, & Andelman, 1999).
Smith and Churchill (2002) conducted a
functional analysis of precursor behavior and
found similar outcomes from a functional
analysis of the target behavior and a functional
analysis of the hypothesized precursor behavior.
A study by Najdowski, Wallace, Ellsworth,
MacAleese, and Cleveland (2008) extended this
work by demonstrating that an intervention
based on a functional analysis of precursor
behavior was effective in eliminating partici-
pants’ precursor behavior. The implication of
these findings is that outcomes from functional
analyses of precursor responses may be used to
infer the function of more severe topographies
that occur later in the response-class hierarchy.
A potential limitation associated with both of
these studies is that indirect assessments alone
were used to identify precursor responses. Such
assessments have sometimes been found to have
poor reliab.
Se describe cómo la retina envía señales por más de una vía en el cerebro. La mayor parte de la información viaja a través del tálamo a la corteza visual y luego a las regiones que llevan a cabo el procesamiento consciente. Sin embargo, algunos datos divergen en el centro motor y el núcleo supraquiasmático, el reloj biológico del cuerpo, lo que permite a ciertos individuos ciegos poseer una habilidad inconsciente para sortear obstáculos.
Psychlab is a simulated psychology laboratory inside the first-person 3D
game world of DeepMind Lab (Beattie et al., 2016). Psychlab enables im-
plementations of classical laboratory psychological experiments so that they
work with both human and artificial agents. Psychlab has a simple and flex-
ible API that enables users to easily create their own tasks. As examples,
we are releasing Psychlab implementations of several classical experimen-
tal paradigms including visual search, change detection, random dot motion
discrimination, and multiple object tracking. We also contribute a study
of the visual psychophysics of a specific state-of-the-art deep reinforcement
learning agent: UNREAL (Jaderberg et al., 2016). This study leads to the
surprising conclusion that UNREAL learns more quickly about larger target
stimuli than it does about smaller stimuli. In turn, this insight motivates
a specific improvement in the form of a simple model of foveal vision that
turns out to significantly boost UNREAL’s performance, both on Psychlab
tasks, and on standard DeepMind Lab tasks. By open-sourcing Psychlab we
hope to facilitate a range of future such studies that simultaneously advance
deep reinforcement learning and improve its links with cognitive science.
A PROCEDURE FOR IDENTIFYING PRECURSORS TOPROBLEM BEHAVIOR.docxbartholomeocoombs
A PROCEDURE FOR IDENTIFYING PRECURSORS TO
PROBLEM BEHAVIOR
BRANDON HERSCOVITCH, EILEEN M. ROSCOE, MYRNA E. LIBBY,
JASON C. BOURRET, AND WILLIAM H. AHEARN
NEW ENGLAND CENTER FOR CHILDREN
NORTHEASTERN UNIVERSITY
We describe a procedure for differentiating among potential precursor responses for use in a
functional analysis. Conditional probability analysis of descriptive assessment data identified
three potential precursors. Results from the indirect assessment corresponded with those
obtained from the descriptive assessment. The top-ranked response identified as a precursor
according to the indirect assessment had the strongest relation according to the probability
analysis. When contingencies were arranged for the precursor in a functional analysis, the same
function was identified as for target behavior, supporting the utility of indirect and descriptive
methods to identify precursor behavior empirically.
DESCRIPTORS: descriptive assessment, functional analysis, precursors, problem behavior,
response-class hierarchies
_______________________________________________________________________________
Functional analysis (Iwata, Dorsey, Slifer,
Bauman, & Richman, 1982/1994) involves
manipulating antecedents and consequences
for the target behavior of interest. Because a
functional analysis requires the repeated occur-
rence of a target response, it may not be
appropriate for response topographies that pose
risk of harm to others (e.g., severe aggression) or
the client (e.g., self-injury). One modification
that has addressed this concern involves a
functional analysis of precursor behavior (i.e.,
arranging contingencies for responses that
reliably precede the target behavior) based on
previous research showing that response topog-
raphies that occur in close temporal proximity
are often members of the same response class,
and by providing differential reinforcement for
earlier responses in the response-class hierarchy,
later more severe responses occur less often
(Harding et al., 2001; Lalli, Mace, Wohn, &
Livezey, 1995; Richman, Wacker, Asmus,
Casey, & Andelman, 1999).
Smith and Churchill (2002) conducted a
functional analysis of precursor behavior and
found similar outcomes from a functional
analysis of the target behavior and a functional
analysis of the hypothesized precursor behavior.
A study by Najdowski, Wallace, Ellsworth,
MacAleese, and Cleveland (2008) extended this
work by demonstrating that an intervention
based on a functional analysis of precursor
behavior was effective in eliminating partici-
pants’ precursor behavior. The implication of
these findings is that outcomes from functional
analyses of precursor responses may be used to
infer the function of more severe topographies
that occur later in the response-class hierarchy.
A potential limitation associated with both of
these studies is that indirect assessments alone
were used to identify precursor responses. Such
assessments have sometimes been found to have
poor reliab.
1. Bringing the Benefits of Nature Indoors; Difficulties with
Attention Restoration Experiments in the Laboratory
C. Carlson, J.M Watson, D.L. Strayer, E. Miller, A. Pyne, A. Hinerman
Psychology Department
Student Photo
Image upper middle
Student Name
Ab
Attention Restoration Theory (ART) promotes the concept that attentional
resources requiring focused thoughtfulness are revitalized by the easy or
“soft” inherent captivation we experience in natural surroundings.
Oppositely, loud urban settings are considered attentional resource
eradicators. Atchley, Strayer and Atchley (2012) strengthened the ART
premise in an experiment using the Remote Associates Test (RAT), a
measure of creative cognition. In their experiment, the RAT scores
gathered from backpackers on the last day of a four day hike sans
technology were significantly higher than those of a separate group of
backpackers before embarking on a similar excursion.
In our experiment, we controlled for extraneous variables by presenting the
experiment indoors utilizing videos of attention depleting (urban) and
attention stimulating (nature) environments. Early trials employing pre-
video, post-video RAT scores as the measures of restoration found
comparable results to the outdoor studies with a 12% increase in the
nature group’s scores and a 5% increase in the urban group’s scores.
However, our attempt to increase the effect by doubling the video viewing
time resulted in a loss of effect, slanting the data toward the urban group
as the most improved. F(1,208)=3.22, p=.07.
Moving forward with Attention Restoration Theory, we feel there is validity
in outdoor experiments. Immersion into the outdoors likely produces a
sufficiently powerful influence which overcomes the RAT’s indirect
measure of cognition. Additionally we exert that potential exists for the
indoor studies as well. Indoor experiments, lacking the immersive quality,
would likely benefit from a more sensitive, direct measure of attention.
Further, future studies should also consider utilizing representative
stimulus shown to maximally induce restoration, such as scenes evoking
“mystery” or “fascination” (ie. a winding path disappearing into a dense
forest.) Future application of these specific attributes may intensify indoor
results.
A between groups design was used in both experiments 1 & 2.
The Remote Associates Test (RAT) was the cognitive measure in both
experiments.
We utilized a pen and paper version of the RAT. The test was divided
into two parts with 15 word association questions each. We
counterbalanced the 2 forms as pre- and post-test measures.
The first experiment’s condition was a 16 minute video (4 scenes for 4
minutes each) of either nature or urban settings.
In the second experiment, 208 psychology students ages 18-52
participated for course credit.
Experiment 2 doubled the video viewing time to 32 minutes (4 scenes
for 8 minutes each).
In the first experiment utilizing the 16 minute videos, we found a significant
difference of improved RAT scores between the nature and urban
conditions.
AbstractAbstract
Results
Discussion
References
Moving forward with Attention Restoration experiments, we feel that
ART has potential, especially when applied in natural surroundings.
Our inconsistent results with indoor videos could be due to any number
of variables including:
Longer viewing time negating the restorative effects by increasing
technological influence.
The RAT being insensitive for measuring restoration in the lab.
Atchley RA, Strayer DL, Atchley P (2012) Creativity in the Wild: Improving
Creative Reasoning through Immersion in Natural Settings. PLoS ONE
7(12):e51474. doi:10.1371/journal.pone.0051474
Szolosi A.M., Watson J.M. and Ruddell E.J. (2014). The benefits of
mystery in nature on attention: Assessing the impacts of
presentation duration. Front. Psychol. 5:1360.
doi:10.3389/fpsyg.2014.01360
Heading pictures taken at Red Butte Gardens, Salt Lake City, Utah by
Chalise Carlson
Experiment 1
Experiment 2
In the second experiment utilizing the 32 minute videos, we did not find a
significance between nature and urban RAT measures, indeed the urban
difference score was larger. F(1,208)=3.22, p=.07
Screenshot photos by Alex Hinerman
Materials and Method
RAT example:
Elephant—Lapse—Vivid Answer: Memory
Future Studies should consider the following:
Szolosi, Watson, & Ruddell’s (2014) study of “mystery” in which they
found certain natural scenes innately fascinating (ie. a winding path.)
Utilizing evolutionarily relevant images (ie. running water) which are
shown to automatically capture attention (Szolosi et al. 2014).
Instead of a behavioral measure, we encourage:
Application of more direct measurements of cognitive restoration.
Considering physiological measurement paired with subjective
surveys.