ATTENPlay: A Game-Based Attention Network Test for Autistic Children

Paper Title

ATTENPlay: A Game-Based Attention Network Test for Autistic Children

Publication Info

• Topic area: Game-based cognitive assessment for neurodiverse children
• Keywords: Autism Spectrum Disorder, attention networks, game-based assessment, inclusive design, neurodiverse populations, tablet-based interaction, usability, executive control, orienting network, cognitive profiling

Background and Problem

• Problem / challenge: Traditional Attention Network Tests (ANTs) are designed for neurotypical adults and fail to engage autistic children due to abstract stimuli, repetitive tasks, and high motor demands, leading to incomplete sessions and confounded data.
• Significance: Understanding attentional functioning in autistic children is critical for creating effective interventions and support systems, as attention impacts academic achievement, social responsiveness, and behavioral regulation.
• Motivation and related work: Existing adaptations of ANT for children, such as ANT-Child and game-based prototypes like AttentionTrip and ANTI-Birds, introduce usability challenges, including complex motor demands and sensory overload. A gap remains for a theoretically rigorous yet accessible tool tailored to autistic children.

Solution

• Proposed approach: ATTENPlay, a tablet-based game that translates ANT tasks into a child-friendly, narrative-driven format with single-tap interactions.
• Novelty:
  1. Systematic co-design process involving experts, parents, and children to adapt ANT for autistic children.
  2. Introduction of a Go/No-Go paradigm using a traffic light metaphor to minimize cognitive and motor demands.
  3. Redesigned sensory feedback and pacing to accommodate neurodiverse sensory profiles.
• Procedure and key techniques:
  • Phase 1: Expert-led co-design sessions to identify usability challenges and propose design hypotheses.
  • Phase 2: Parent surveys to evaluate hypotheses on device familiarity, rule comprehension, and engagement framing.
  • Phase 3: Comparative pilot study with autistic and neurotypical children to identify practical challenges and refine the prototype.
  • Implementation: Development of a tablet-based game with multimodal cues, simplified rules, and gentle feedback mechanisms.

Results

• Concrete findings:
  • ATTENPlay achieved a 92.9% task completion rate for autistic children, compared to 71.4% for ANT-I-Child (p < 0.05).
  • Learning time for ATTENPlay was significantly shorter for autistic children (2.85 vs. 5.95 minutes; p < 0.001) and neurotypical children (1.96 vs. 2.21 minutes; p < 0.05).
  • ATTENPlay revealed significant group differences in orienting network efficiency (p < 0.01) and executive control (p < 0.001).
• Advantage over baselines:
  • ATTENPlay reduced motor and sensory confounds, enabling clearer cognitive data capture compared to ANT-I-Child.
  • Enhanced usability and engagement through simplified interactions and narrative framing.
• Experiments / evaluation:
  • Participants: 52 children (28 autistic, 24 neurotypical), aged 3–10 years.
  • Metrics: Task completion rate, learning time, accuracy, reaction time, attentional network scores, user experience.
  • Comparative study design: Counterbalanced evaluation of ATTENPlay vs. ANT-I-Child.
• Limitations and future work:
  • Limited suitability for toddlers or children with significant cognitive delays.
  • Small sample size constrained demographic analysis.
  • Future directions: Larger sample sizes, multimodal sensor integration, and psychometric validation.

Summary

ATTENPlay is a tablet-based game designed to assess attentional networks in autistic children through an inclusive, narrative-driven approach. It significantly improved usability, engagement, and data interpretability compared to traditional ANT paradigms, revealing group differences in orienting and executive control networks. Developed through a systematic co-design process, ATTENPlay demonstrates the potential of game-based tools to provide accessible cognitive assessments for neurodiverse pediatric populations. Future work will focus on expanding applicability and validating psychometric robustness.