Code
| Image Categorization in OASIS Image Set | |
|---|---|
| Category | n |
| Person | 346 |
| Scene | 220 |
| Object | 200 |
| Animal | 134 |
Rosa Della-Corte-Romano
All images were taken from OASIS: Open Affective Standardized Image Set
The OASIS dataset contains 900 images that are categorized by theme, valence, category description, and arousal.
Negative Images were selected that were low in valence and high in arousal
Positive Images were selected that were both high in valence and high in arousal
Neutral Images were selected that were low in arousal
| Image Descriptions from OASIS | ||
|---|---|---|
| Verbatim Visual Description | ||
| neutral | negative | positive |
| An image of a stone wall made of rectangular bricks stacked in rows. | An image of a carcass of a rotting headless deer with rib exposed. | An image of a tropical beach with palm trees and lounge chairs overlooking clear turquoise water. |
| An image of an empty cardboard box viewed from above. | An image of a line up of dead bodies with bloody clothes. | An image of the sun setting over a rocky shoreline as warm colors reflect on the ocean. |
| An image of several white cotton swabs scattered on a flat surface. | An image a young dead body laying next to another dead body in a field. | An image of two tiny kittens asleep curled together in a soft purple blanket. |
| An image of a container filled with cotton swabs, some with colored stems. | An image of a dead shirtless man with an empty look laying in a dirt field. | An image of a cheerful beagle standing on a wooden surface. |
| An image of a patch of brown soil with a rough, natural texture. | An image of a dry lifeless land with cracks across the surface. | An image of a small puppy sitting inside a white cup with red polka dots. |
| An image of a red fire hydrant standing on a grassy area. | An image of a malnourished stray dog with part of flesh exposed. | An image of colorful fireworks bursting over a city skyline at night. |
| An image of two people sitting on a rooftop at night overlooking a lit city skyline. | An image of bloody dummy missing its face laying lifeless. | An image of a forest opening that reveals a lake surrounded by tall trees. |
| An image of a loose pile of tan rubber bands. | An image of a house englufed in flames. | An image of snowcapped mountains reflecting in a turquoise alpine lake. |
| A blue-and-white stapler placed on a plain background. | An image of plastic waste littered across a coast line. | An image of a golden sunset illuminating moutain peaks in a still blue lake. |
| An image of a small stack of white paper sheets slightly fanned out. | An image of a shopping cart in a field surrounded by garbage. | An image of a reflective lake at sunset with dramatic clouds and warm golden light. |
| An image of a scattered pile of silver metal paper clips. | An image of someone with multiple lacerations on the lower body and bloody legs on an operating table. | An image of a peaceful river bordered by lush green trees under a blue sky with scattered clouds. |
| An image of a close up view of small gray gravel stones. | An image of the KKK having a meeting and giving a speech. | An image of a wooden pier stretching into a calm lake beneath a bright full moon. |
| An image of a surface covered in small multicolored pebbles with mostly gray and teal tones. | An image of the KKK burning a reglious symbol. | An image of a mountain lake with red canoes resting on a wooden dock. |
| An image of beige textured surface resembling a neutral-toned wall. | An image a severe case of a young man with malnutrition on the brink of starvation. | An image of an emperor penguin sheltering its small chick on a snowy landscape. |
| An image of a brown textured material that looks like a wall. | An image of a man missing his left eye due to a tumor. | An image of a bright rainbow arching over a calm lake beside a vivid red leaved tree. |
| An image of three spools of gray thread arranged side by side. | An image of a time of war where a soldier is pointing his gun at a child. | An image of a rainbow stretching across a dramatic sky above the ocean at sunset. |
Developed by Scrivner @article{scrivner2021psychology, title={The psychology of morbid curiosity: Development and initial validation of the morbid curiosity scale}, author={Scrivner, Coltan}, journal={Personality and individual differences}, volume={183}, pages={111139}, year={2021}, publisher={Elsevier} }
@article{olatunji2007disgust, title={The Disgust Propensity and Sensitivity Scale-Revised: Psychometric properties and specificity in relation to anxiety disorder symptoms}, author={Olatunji, Bunmi O and Cisler, Josh M and Deacon, Brett J and Connolly, Kevin and Lohr, Jeffrey M}, journal={Journal of Anxiety Disorders}, volume={21}, number={7}, pages={918--930}, year={2007}, publisher={Elsevier} }
@article{bradley1994measuring, title={Measuring emotion: the self-assessment manikin and the semantic differential}, author={Bradley, Margaret M and Lang, Peter J}, journal={Journal of behavior therapy and experimental psychiatry}, volume={25}, number={1}, pages={49--59}, year={1994}, publisher={Elsevier} }
---
title: "The Effect of Resolving Uncertainty on Facial Expression, Visual Path, and Affect"
author: Rosa Della-Corte-Romano
format:
html:
code-fold: true
page-layout: full
lightbox: true
css: theme.css
editor: visual
---
## Background
## Image Descriptions
All images were taken from [OASIS: Open Affective Standardized Image Set](https://osf.io/6pnd7/overview)
The OASIS dataset contains 900 images that are categorized by theme, valence, category description, and arousal.
### Image Categories
```{r}
#| warning: false
#| message: false
library(gt)
library(tidyverse)
os <- read.csv("OASIS.csv")
os %>%
count(Category, sort = TRUE) %>%
gt() %>%
tab_header(
title = md("**Image Categorization in OASIS Image Set**")
)
```
## Image Selection Criteria
- **Negative** Images were selected that were low in valence and high in arousal
- **Positive** Images were selected that were both high in valence and high in arousal
- **Neutral** Images were selected that were low in arousal
```{r}
os %>%
arrange(Valence_mean) %>%
select(Theme, Category, Valence_mean, Arousal_mean) %>%
gt() %>%
fmt_auto() %>%
opt_interactive(use_sorting = TRUE)
```
## Image Description
```{r}
stim <- read.csv("Copy of stimList.xlsx - stimList.csv")
stim %>%
select(neutral, negative, positive) %>%
gt() %>%
tab_header(
title = md("**Image Descriptions from OASIS**"),
subtitle = md("*Verbatim Visual Description*")
)
```
## Image Example
::: {#fig-elephants layout-ncol="3"}



OASIS Examples
:::
## Instruments
### Morbid Curiosity Scale
Developed by Scrivner \@article{scrivner2021psychology, title={The psychology of morbid curiosity: Development and initial validation of the morbid curiosity scale}, author={Scrivner, Coltan}, journal={Personality and individual differences}, volume={183}, pages={111139}, year={2021}, publisher={Elsevier} }
```{=html}
<iframe width="100%" height="500" src="https://ssd.az1.qualtrics.com/jfe/form/SV_9GLAOrmsjMfthg9" title="External Webpage"></iframe>
```
## Disgust Sensitivity Scale
```
@article{olatunji2007disgust, title={The Disgust Propensity and Sensitivity Scale-Revised: Psychometric properties and specificity in relation to anxiety disorder symptoms}, author={Olatunji, Bunmi O and Cisler, Josh M and Deacon, Brett J and Connolly, Kevin and Lohr, Jeffrey M}, journal={Journal of Anxiety Disorders}, volume={21}, number={7}, pages={918--930}, year={2007}, publisher={Elsevier} }
```
```{=html}
<iframe width = "100%" height = "500" src="https://farmingdale.qualtrics.com/jfe/form/SV_3Kl0XGdUEZNLwpg"></iframe>
```
## Self Assessment Manikin (SAM)
```
@article{bradley1994measuring, title={Measuring emotion: the self-assessment manikin and the semantic differential}, author={Bradley, Margaret M and Lang, Peter J}, journal={Journal of behavior therapy and experimental psychiatry}, volume={25}, number={1}, pages={49--59}, year={1994}, publisher={Elsevier} }
```

## Digital Poster
