HCAISep 15, 2024

AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation

arXiv:2409.09641v420 citationsh-index: 8
Originality Incremental advance
AI Analysis

This addresses a critical problem for minimally verbal autistic children and their parents by enhancing communication dynamics, though it is incremental as it builds on existing assistive technology approaches.

The paper tackled the challenge of communication between minimally verbal autistic children and their parents by developing AACessTalk, a tablet-based AI system that provides real-time guidance to parents and recommends vocabulary cards to children, resulting in high engagement from all 11 dyads and increased conversation frequency and turn-taking.

As minimally verbal autistic (MVA) children communicate with parents through few words and nonverbal cues, parents often struggle to encourage their children to express subtle emotions and needs and to grasp their nuanced signals. We present AACessTalk, a tablet-based, AI-mediated communication system that facilitates meaningful exchanges between an MVA child and a parent. AACessTalk provides real-time guides to the parent to engage the child in conversation and, in turn, recommends contextual vocabulary cards to the child. Through a two-week deployment study with 11 MVA child-parent dyads, we examine how AACessTalk fosters everyday conversation practice and mutual engagement. Our findings show high engagement from all dyads, leading to increased frequency of conversation and turn-taking. AACessTalk also encouraged parents to explore their own interaction strategies and empowered the children to have more agency in communication. We discuss the implications of designing technologies for balanced communication dynamics in parent-MVA child interaction.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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