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Age- and Gender-Based Differences in Children’s Interactions with a Gender-Matching Robot
- Source :
- International Journal of Social Robotics. 10:687-700
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Social robots are increasingly being used to encourage social, emotional and cognitive growth in children. However, in order to establish social and bonding interactions, social robots need to be able to exhibit adaptive strategies to keep children engaged and interested. Adaptive strategies of a social robot based on children’s age and gender are motivated by the comprehensive theory on gender development. Given the strong influence of gender in children’s cognitive development, the experiment first examined the responses of 107 children, ages 5–12, whether synthesized voice evokes gender associations in children. The results suggest that young children (ages 5–8) are not able to successfully attribute gender to the robot in correspondence with the synthesized voice. In addition, we explicitly investigated children’s preferences for the robot’s gender, and the results were contrary to our expectations: young children indicated their preference for a robot with a matching gender while there was no difference in preferences for a robot’s gender by older children (ages 9–12).
- Subjects :
- 0209 industrial biotechnology
Matching (statistics)
Adaptive strategies
Social robot
General Computer Science
Social Psychology
05 social sciences
Control (management)
technology, industry, and agriculture
02 engineering and technology
Preference
Human–robot interaction
Developmental psychology
body regions
Human-Computer Interaction
Philosophy
020901 industrial engineering & automation
Control and Systems Engineering
Cognitive development
Robot
0501 psychology and cognitive sciences
Electrical and Electronic Engineering
Psychology
human activities
050107 human factors
Subjects
Details
- ISSN :
- 18754805 and 18754791
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- International Journal of Social Robotics
- Accession number :
- edsair.doi...........698f545b57e67344e7d0f87dfe323c63
- Full Text :
- https://doi.org/10.1007/s12369-018-0472-9