"I know it's complicated": Children detect relevant information about object complexity

Mechanistic complexity is an important property that affects how we interact with and learn from artifacts. Although highly complex artifacts have only recently become part of human material culture, they are ever-present in contemporary life. In previous research, children successfully detected complexity contrasts when given information about the functions of simple and complex objects. However, whether children spontaneously favor relevant information about an object's causal mechanisms and functions when trying to determine an object's complexity remains an open question. In Study 1, 7- to 9-year-olds and adults, but not 5- and 6-year-olds, rated information about relevant actions (e.g., the difficulty in fixing an object) as more helpful than information about irrelevant actions (e.g., the difficulty in spelling an object's name) for making determinations of mechanistic complexity. Only in Study 2, in which the relevance contrasts were extreme, did the youngest age group rate relevant actions as more helpful than irrelevant actions. In Study 3, in which participants rated the complexity of the actions themselves, participants performed differently than in the previous studies, suggesting that children in the prior studies did not misinterpret the study instructions as prompts to rate the actions' complexity. These results suggest that the ability to detect which object properties imply complexity emerges during the early school years. Younger children may be misled by features that are not truly diagnostic of mechanistic complexity, whereas older children more easily disregard such features in favor of relevant information.

Fairies in the Box: Children’s Perception and Interaction towards Voice Assistants

In recent years, the growing popularity of smart speakers (e.g., Google Home and Alexa) has facilitated young children’s interaction with internet-based devices and provided them with more opportunities to obtain access to online information. This review summarizes the current state of the research by examining smart speakers’ core characteristics, children’s conceptualization and interaction with smart speakers, and the influences on children’s learning and habits. Our review shows that (a) the natural language processing technology and central computing system (Internet) contribute to the uniqueness of smart speakers; (b) although children tend to attribute human characteristics (e.g., smart and friendly) to smart speakers, they might judge these voice assistant devices as neither explicitly living nor nonliving in ontological perception; (c) children’s overattributing certain knowledge (e.g., questions about personal information) to smart speakers does not necessarily mean that this device is believed to be omniscient; and (d) in terms of promoting children’s learning, smart speakers might not be more effective than a real human, and the interaction with smart speakers may not be conducive to children’s maintenance of civilized social norms. Implications for children’s conceptualization and interaction of smart speakers and the design of children-oriented smart agents are also discussed.