The Last Decade of HCI Research on Children and Conversational Agents
Authors
Intelligent Voice Assistants (Alexa, Siri, etc.)Conversational ChatbotsAgent Personality & AnthropomorphismK-12 TeachersSpecial Education TeachersEarly Childhood Educators
Title of the Paper
The Last Decade of HCI Research on Children and Voice-based Conversational Agents
Bibliographic Information
- Field of Study: Children and Voice-based Conversational Agents in Human-Computer Interaction Research
- Keywords: Conversational agents, Voice interfaces, Smart speakers, Virtual assistants, Children, Family, Systematic literature review, Parents, Learning technologies, Interaction design
Research Background and Issues
- Issues and Challenges:
- The authors observed an increasing use of voice-based conversational agents by children, but designing these agents poses significant challenges, such as the varying needs of children at different cognitive development stages, imprecise language expression, limited vocabulary, and a lack of adaptive language strategies.
- Existing research lacks a systematic review of the themes and challenges in this field.
- Significance: Voice-based conversational agents hold great potential in education, family interaction, and children's entertainment. Research in this area is crucial for developing child-friendly voice technologies and guiding design practices.
- Motivation and Related Work: While previous reviews have explored design directions and user trust in voice technologies, systematic reviews focusing on children and voice-based conversational agents remain insufficient. This paper aims to fill this gap by systematically reviewing research trends, core themes, and methods from the past decade.
Solution
- Method or Solution:
- The authors conducted a systematic literature review, collecting 38 relevant papers published between 2011 and 2020 to analyze the current state of research on children and voice-based conversational agents.
- They identified seven core themes (e.g., endowing agents with human-like qualities, supporting children's learning, roles in family and home environments) and summarized key challenges.
- Innovations:
- Systematically organized research on interactions between children and voice-based conversational agents, expanded relevant design methodologies, and proposed future research directions.
- Implementation Steps and Key Techniques:
- Literature Search: Used databases such as ACM, ProQuest, and Scopus, applying keyword combinations to filter relevant papers.
- Screening and Classification: Established clear inclusion and exclusion criteria, such as focusing on children and voice-driven interactions.
- Data Extraction and Coding: Extracted research objectives, experimental designs, and key findings, categorizing them into theoretical frameworks.
- Thematic Analysis: Applied inductive analysis methods to identify major research themes.
Research Findings
- Specific Findings:
- Identified core research themes in interactions between children and voice-based conversational agents, including:
- Endowing agents with human-like qualities
- Supporting children's learning (e.g., language, mathematics)
- Roles in family and home environments
- Supporting children's play and social interactions
- Enhancing children's storytelling experiences
- Information collection and privacy concerns
- Designing voice agents for children with diverse abilities
- Identified core research themes in interactions between children and voice-based conversational agents, including:
- Advantages:
- Provides an in-depth understanding of designing voice technologies for children, offering guidance for culturally and socially sensitive development and design.
- Conducted research on children at various developmental stages and from different backgrounds, laying the foundation for personalized design.
- Experimental or Evaluation Results:
- Insights from quantitative experiments and user studies demonstrate the effectiveness of voice agents in improving children's learning, social interactions, and entertainment. However, practical issues such as learning barriers remain.
- Limitations and Future Directions:
- Current research primarily focuses on children from specific socio-economic backgrounds. Future studies should expand to include diverse cultural, linguistic, age, and ability groups.
- Further research is needed on the long-term impact of voice technologies on children's language acquisition, social behavior, and mental health.
- Encourages the use of interdisciplinary theoretical frameworks and design-oriented research, integrating real-world scenarios such as schools, homes, and healthcare environments.
Future research recommendations include addressing ethical issues in voice systems, designing for multi-user interactions, and developing personalized voice agents that support diverse linguistic and cultural contexts.
Research Questions / Practical Problems
Question signals indexed for this paper.
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Research Questions
3- What design challenges do children face when using voice conversational agents at different cognitive developmental stages?Category: Multilingual Voice Assistants and Code-Switching SupportSimilar questionsarrow_forward
- How can voice conversational agents support children's learning, family interaction, and entertainment?Category: Multilingual Voice Assistants and Code-Switching SupportSimilar questionsarrow_forward
- What ethical and privacy issues must be considered when designing personalized voice technologies for children?Category: Multilingual Voice Assistants and Code-Switching SupportSimilar questionsarrow_forward
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Practical Problems
1- Parents and designers struggle to find suitable voice technologies for children, and existing designs lack adaptability for different developmental stages.Category: Multilingual Voice Assistants and Code-Switching SupportSimilar questionsarrow_forward
Based on Jaccard similarity of research subtopics & professions (≥60%)
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DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3502016
At a Glance
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Source
CHI
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Year
2022
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Authors
8 authors
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Subtopics
Intelligent Voice Assistants (Alexa, Siri, etc.), Conversational Chatbots, Agent Personality & Anthropomorphism
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Professions
K-12 Teachers, Special Education Teachers, Early Childhood Educators
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Content Status
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