Discriminative Control of Behavioral Variability in Video Game Play (open access)

Discriminative Control of Behavioral Variability in Video Game Play

Creativity can be a useful skill in today's classrooms and workplaces. When individuals talk about creativity, it's unclear what the controlling variables are when we tact behavior as "creative." Research in understanding the processes behind behaviors that are considered "creative" would assist in identifying functional relations and provide insight on how to teach creativity. Since creativity is often described as doing something different from the norm, behavioral variability may be a potential aspect of creativity. This study aimed to replicate previous findings by investigating the effects of discrimination training in a multiple schedule of varied and repetitive responding in the context of a video game. Participants played through a 2D online video game made in Bloxels. Different alternating-colored platforms served as the discriminative stimuli for the vary and repeat components. Three parameters of variability were measured (e.g., left jumps, right jumps, and double jumps). The results of the study indicate that participants were able to learn the discrimination of when to repeat and vary their responses depending on which colored platform they encountered.
Date: May 2023
Creator: Arias, Gabriela Isabel
System: The UNT Digital Library

Some Names for Empty Space

Some Names for Empty Space is a collection of poems that considers how poetry and language operate to define human experience, reconciling the 'empty spaces' between the self and the abstracted variables of all things. The poems here often find their impetus in fatherhood and a parent's efforts to explain the world to a child.
Date: May 2021
Creator: Koch, Andrew (Poet)
System: The UNT Digital Library
Extracting Possessions and Their Attributes (open access)

Extracting Possessions and Their Attributes

Possession is an asymmetric semantic relation between two entities, where one entity (the possessee) belongs to the other entity (the possessor). Automatically extracting possessions are useful in identifying skills, recommender systems and in natural language understanding. Possessions can be found in different communication modalities including text, images, videos, and audios. In this dissertation, I elaborate on the techniques I used to extract possessions. I begin with extracting possessions at the sentence level including the type and temporal anchors. Then, I extract the duration of possession and co-possessions (if multiple possessors possess the same entity). Next, I extract possessions from an entire Wikipedia article capturing the change of possessors over time. I extract possessions from social media including both text and images. Finally, I also present dense annotations generating possession timelines. I present separate datasets, detailed corpus analysis, and machine learning models for each task described above.
Date: May 2020
Creator: Chinnappa, Dhivya Infant
System: The UNT Digital Library