The DOI matches its Crossref record; 34 of the 36 references it cites were found in a registry or an index.
Growing Growth Mindset with a Social Robot Peer
Open accessAbstract
Mindset has been shown to have a large impact on people's academic, social, and work achievements. A growth mindset, i.e., the belief that success comes from effort and perseverance, is a better indicator of higher achievements as compared to a fixed mindset, i.e., the belief that things are set and cannot be changed. Interventions aimed at promoting a growth mindset in children range from teaching about the brain's ability to learn and change, to playing computer games that grant brain points for effort rather than success. This work explores a novel paradigm to foster a growth mindset in young children where they play a puzzle solving game with a peer-like social robot. The social robot is fully autonomous and programmed with behaviors suggestive of it having either a growth mindset or a neutral mindset as it plays puzzle games with the child. We measure the mindset of children before and after interacting with the peer-like robot, in addition to measuring their problem solving behavior when faced with a challenging puzzle. We found that children who played with a growth-mindset robot 1) self-reported having a stronger growth mindset and 2) tried harder during a challenging task, as compared to children who played with the neutral-mindset robot. These results suggest that interacting with peer-like social robot with a growth mindset can promote the same mindset in children.
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“Previously, social robots have been shown to promote curiosity and engagement in children (Gordon et al., 2015; Park et al., 2017), and it would be valuable to explore such functionality with older adults.”
From Personal Narratives in Technology Design: The Value of Sharing Older Adults’ Stories in the Design of Social Robots (2021) · cites this paper as Park et al., 2017
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“Nonetheless, outside the settings of expressive arts therapy, a substantial body of studies focus on supporting storytelling and storymaking for children and families [23, 83, 96, 134].”
From "When He Feels Cold, He Goes to the Seahorse"—Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy (2024) · cites this paper as [83]
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“This encourages continued creative self-explorations and self-expression to take place after the therapeutic interventions [83].”
From "When He Feels Cold, He Goes to the Seahorse"—Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy (2024) · cites this paper as [83]
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Citations
Cites
ROS: an open-source Robot Operating System
Quigley, M. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · Cited by 8,729
Mindset: The New Psychology of Success
(2006) · Choice Reviews Online · doi:10.5860/choice.44-2397 · Cited by 7,804
Grit: perseverance and passion for long-term goals
Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.92.6.1087 · Cited by 6,911
Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007) · Child Development · doi:10.1111/j.1467-8624.2007.00995.x · Cited by 3,784
A learning algorithm for Boltzmann machines
Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985) · Cognitive Science · doi:10.1207/s15516709cog0901_7 · Cited by 3,402
Yeager, D. S., & Dweck, C. S. (2012) · Educational Psychologist · doi:10.1080/00461520.2012.722805 · Cited by 2,334
Aronson, J., Fried, C. B., & Good, C. (2002) · Journal of Experimental Social Psychology · doi:10.1006/jesp.2001.1491 · Cited by 1,889
Praise for intelligence can undermine children's motivation and performance.
Mueller, C. M., & Dweck, C. S. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.75.1.33 · Cited by 1,709 · cited 4×
“Both laboratory and classroom studies have shown that mindset can be changed through careful intervention, often involving social interaction [8, 16, 4, 22, 19].”
BackgroundInfluentialGood, C., Aronson, J., & Inzlicht, M. (2003) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2003.09.002 · Cited by 1,096
Person versus process praise and criticism: Implications for contingent self-worth and coping.
Kamins, M. L., & Dweck, C. S. (1999) · Developmental Psychology · doi:10.1037/0012-1649.35.3.835 · Cited by 659 · cited 3×
“Both laboratory and classroom studies have shown that mindset can be changed through careful intervention, often involving social interaction [8, 16, 4, 22, 19].”
BackgroundDweck, C. S. (2012) · American Psychologist · doi:10.1037/a0029783 · Cited by 519
Early sex differences in spatial skill.
Levine, S. C., Huttenlocher, J., Taylor, A., & Langrock, A. M. (1999) · Developmental Psychology · doi:10.1037/0012-1649.35.4.940 · Cited by 495
Parent Praise to 1- to 3-Year-Olds Predicts Children's Motivational Frameworks 5 Years Later
Gunderson, E. A., Gripshover, S. J., Romero, C., Dweck, C. S., Susan Goldin-meadow, A., & Levine, S. C. (2013) · Child Development · doi:10.1111/cdev.12064 · Cited by 492
Tanaka, F., & Matsuzoe, S. (2012) · Journal of Human-Robot Interaction · doi:10.5898/jhri.1.1.tanaka · Cited by 376
Individual Differences in Achievement Goals among Young Children
Smiley, P. A., & Dweck, C. S. (1994) · Child Development · doi:10.1111/j.1467-8624.1994.tb00845.x · Cited by 342
Individual differences in achievement goals among young children.
Smiley, P. A., & Dweck, C. S. (1994) · Child Development · doi:10.2307/1131290 · Cited by 326
Affective Personalization of a Social Robot Tutor for Children’s Second Language Skills
Gordon, G., Spaulding, S., Kory-Westlund, J. M., Lee, J. J., Plummer, L., Martinez, M., Das, M., & Breazeal, C. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v30i1.9914 · Cited by 322
Self-citationThe importance of gesture in children's spatial reasoning.
Ehrlich, S. B., Levine, S. C., & Goldin‐Meadow, S. (2006) · Developmental Psychology · doi:10.1037/0012-1649.42.6.1259 · Cited by 253
Can Children Catch Curiosity from a Social Robot?
Gordon, G., Breazeal, C., & Engel, S. (2015) · Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/2696454.2696469 · Cited by 193 · cited 1×
“Social robots por-trayed as curious, peer-like learning companions have been shown to promote curiosity in children via co-play [14, 13].”
BackgroundSelf-citationChildren's thinking about traits: implications for judgments of the self and others.
Heyman, G. D., & Dweck, C. S. (1998) · PubMed · Cited by 174
Young Children Treat Robots as Informants
Breazeal, C., Harris, P. L., DeSteno, D. A., Kory-Westlund, J. M., Dickens, L. R., & Jeong, S. (2016) · Topics in Cognitive Science · doi:10.1111/tops.12192 · Cited by 164
Self-citationO'Rourke, E., Haimovitz, K., Ballweber, C., Dweck, C. S., & Popović, Z. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557157 · Cited by 158
“Sociable robot improves toddler vocabulary skills,”
Movellan, J., Eckhardt, M., Virnes, M., & Rodriguez, A. (2009) · Proceedings of the 4th ACM/IEEE international conference on Human robot interaction · doi:10.1145/1514095.1514189 · Cited by 136
Engel, S. (2015) · Harvard University Press eBooks · doi:10.4159/9780674425354 · Cited by 98
Bayesian Active Learning-Based Robot Tutor for Children's Word-Reading Skills
Gordon, G., & Breazeal, C. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9376 · Cited by 75
Self-citationThe hungry mind: the origins of curiosity in childhood
(2015) · Choice Reviews Online · doi:10.5860/choice.191152 · Cited by 62
Using tangrams to teach geometry to young children
Bohning, G., & Althouse, J. K. (1997) · Early Childhood Education Journal · doi:10.1007/bf02354839 · Cited by 33
Learning verbs by teaching a care-receiving robot by children
Tanaka, F., & Matsuzoe, S. (2012) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/2157689.2157781 · Cited by 23
Park, H. W., & Howard, A. M. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509156 · Cited by 16
Self-citationRetrieving experience: Interactive instance-based learning methods for building robot companions
Park, H. W., & Howard, A. (2015) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2015.7140061 · Cited by 13
Self-citationUsing a shared tablet workspace for interactive demonstrations during human-robot learning scenarios
Park, H. W., Coogle, R. A., & Howard, A. (2014) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2014.6907248 · Cited by 13
Self-citationSolving tangram puzzles: A connectionist approach
Oflazer, K. (1993) · International Journal of Intelligent Systems · doi:10.1002/int.4550080502 · Cited by 10
Boosting Children's Creativity through Creative Interactions with Social Robots
Alves‐Oliveira, P., Arriaga, P., Hoffman, G., & Paiva, A. (2016) · doi:10.5555/2906831.2906996 · Cited by 7
Qu, Z., Yu, C., Shi, Y., Huang, J., Li, T., & Shi, Y. (2014) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2559206.2581166 · Cited by 1
Research works printed but not linked: 3
- 10.5555/3016387.3016461 · DOI
- J. Jirout . 'i try to learn as much as i can' vs. 'i try to get the best grade i can': A study of children's ideas about learning and school . In Cognitive Development Society Meeting , 2015 . J. Jirout. 'i try to learn as much as i can' vs. 'i try to get the best grade i can': A study of children's ideas about learning and school. In Cognitive Development Society Meeting, 2015.
- 10.5555/2906831.2906979 · DOI
Cited by
Sorted by citations
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019) · Nature · doi:10.1038/s41586-019-1138-y · Cited by 1,364
Self-citationInclusive AI literacy for kids around the world
Druga, S., Vu, S. T., Likhith, E., & Qiu, T. (2019) · Proceedings of FabLearn 2019 · doi:10.1145/3311890.3311904 · Cited by 318
"Hey Google is it OK if I eat you?": Initial Explorations in Child-Agent Interaction
Druga, S., Williams, R., Breazeal, C., & Resnick, M. (2017) · Proceedings of the 2017 Conference on Interaction Design and Children · doi:10.1145/3078072.3084330 · Cited by 330
Self-citationChen, H., Park, H. W., & Breazeal, C. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103836 · Cited by 291
Self-citationA survey on the design and evolution of social robots — Past, present and future
Mahdi, H., Akgun, S. A., Saleh, S., & Dautenhahn, K. (2022) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2022.104193 · Cited by 181
Metadata
- Authors
- Park, H. W., Rosenberg-Kima, R., Rosenberg, M., Gordon, G., & Breazeal, C.
- Affiliations
- MIT Media Lab (US)
- Tel Aviv University, Israel, Tel Aviv, Israel
- Tel Aviv University (IL)
- Venue
- Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
- Publisher
- ACM
- Published
- 2017-03-06
- Volume
- 2017
- Pages
- 137-145
- PMC
- PMC6347975
- OpenAlex
- W2594091522
- Cited by
- 140
- References
- 36
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 12 · 2023: 15 · 2022: 25 · 2021: 25 · 2020: 16 · 2019: 17 · 2018: 9 · 2017: 3
- FWCI
- 19.95
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- ACM/IEEE International Conference on Human-Robot Interaction (HRI) (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- National Institutes of Health (5R01HD086899-02)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Education › Educational Robotics and Engineering
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Keywords
- growth mindset, fixed mindset, social robots, children, puzzle solving, effort, problem-solving behavior, autonomous robot behavior
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