People engage in intentional misunderstandings to get around direct non-compliance. In other words, they use loopholes. Previous work showed that adults and children consider loophole behavior to be less costly than direct non-compliance (Bridgers, Schulz, & Ullman, 2021), and suggested this is a primary reason for their use: loopholes will land you in less trouble than defiance. However, we propose that this difference between loopholes and defiance will not hold for a specific, important context: moral violations. We replicate the finding that loopholes are less costly in a neutral context but find that engaging in loopholes in a moral context is as bad as non- compliance (Experiment 1, N=360). We then use a direct comparison between loopholes and non-compliance (N=150) to investigate whether in some contexts loopholes will be seen as even worse than non-compliance. We replicate the differential effect of the moral context from Experiment 1, but do not find a reversal. We discuss possible extensions and limitations, and consider why loopholes in moral violations may be uniquely unacceptable.
more »
« less
Loopholes, a Window into Value Alignment and the Learning of Meaning
Finding and exploiting loopholes is a familiar facet of fable, law, and everyday life. But cognitive, computational, and em- pirical work on this behavior remains scarce. Engaging with loopholes requires a nuanced understanding of goals, social ambiguity, and value alignment. We trace loophole behavior to early childhood, and we propose that exploiting loopholes results from a conflict in actors’ goals combined with a pres- sure to cooperate. A survey of 260 parents reporting on 425 children reveals that loophole behavior is prevalent, frequent, and diverse in daily parent-child interactions, emerging around ages five to six and tapering off from around ages nine to ten into adolescence. A further experiment shows that adults con- sider loophole behavior in children as less costly than non- compliance, and children increasingly differentiate loophole behavior from non-compliance from ages four to ten. We dis- cuss limitations of the current work together with a proposal for a formal framework for loophole behavior.
more »
« less
- Award ID(s):
- 2118096
- PAR ID:
- 10453068
- Date Published:
- Journal Name:
- Proceedings of the Annual Meeting of the Cognitive Science Society,
- Volume:
- 43
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
The purpose of this study was to examine identity formation in young learners through engineering education. This was sought by means of understanding children’s perception of their identity as an engineer after engaging in engineering design processes and practices in their home environments. The methodology for data collection was through post-program participation interviews with children. The interviews were conducted with thirteen children between the ages of five and ten, who completed at least four researcher-developed engineering tasks in their home environments with a member of their family, typically a caregiver. The time engaged in each kit ranged from approximately 30 minutes to 3 hours. The interview questions revolved around how these children viewed engineers, and engineering, as well as how they viewed themselves and how the program changed their views and interests. The results suggest that participation in an engineering program in home environments has changed these children’s sense of identity in a variety of ways; how they viewed their ability to carry out engineering activities, their potential career trajectories, how they viewed engineering as a field, and how the program affected their interactions with their family. The significance of this study points to the benefits of introducing engineering tasks with children at a young age.more » « less
-
When young children create, they are exploring their emerging skills. And when young children reflect, they are transforming their learning experiences. Yet early childhood play environments often lack toys and tools to scaffold reflection. In this work, we design a stuffed animal robot to converse with young children and prompt creative reflection through open-ended storytelling. We also contribute six design goals for child-robot interaction design. In a hybrid Wizard of Oz study, 33 children ages 4-5 years old across 10 U.S. states engaged in creative play then conversed with a stuffed animal robot to tell a story about their creation. By analyzing children’s story transcripts, we discover four approaches that young children use when responding to the robot’s reflective prompting: Imaginative, Narrative Recall, Process-Oriented, and Descriptive Labeling. Across these approaches, we find that open-ended child-robot interaction can integrate personally meaningful reflective storytelling into diverse creative play practices.more » « less
-
Music is an important part of childhood development, with online music listening platforms being a significant channel by which children consume music. Children’s offline music listening behavior has been heavily researched, yet relatively few studies explore how their behavior manifests online. In this paper, we use data from LastFM 1 Billion and the Spotify API to explore online music listening behavior of children, ages 6–17, using education levels as lenses for our analysis. Understanding the music listening behavior of children can be used to inform the future design of recommender systems.more » « less
-
Bilingual children at a young age can benefit from exposure to dual language, impacting their language and literacy development. Speech technology can aid in developing tools to accurately quantify children’s exposure to multiple languages, thereby helping parents, teachers, and early-childhood practitioners to better support bilingual children. This study lays the foundation towards this goal using the Hoff corpus containing naturalistic adult-child bilingual interactions collected at child ages 2½, 3, and 3½ years. Exploiting self-supervised learning features from XLSR-53 and HuBERT, we jointly predict the language (English/Spanish) and speaker (adult/child) in each utterance using a multi-task learning approach. Our experiments indicate that a trainable linear combination of embeddings across all Transformer layers of the SSL models is a stronger indicator for both tasks with more benefit to speaker classification. However, language classification for children remains challenging.more » « less
An official website of the United States government

