Engagement, motivation, or sustained attention? Rethinking the effects of technology in autism

Technology-based interventions for Autism Spectrum Disorder (ASD) are frequently justified on the grounds that digital tools "increase engagement" and "enhance motivation." However, across domains such as robot-assisted therapy, immersive environments (virtual and augmented reality), and ICT-based educational applications, outcomes labeled as engagement are often derived from observable indicators including gaze, time-on-task, interaction duration, task adherence, or reduced off-task behavior. While informative, these measures may primarily index sustained attention and, when considered in isolation, do not provide sufficient evidence to support inferences about intentional involvement or intrinsic motivation. In this Perspective paper, we argue that part of the literature implicitly equates increased on-task behavior with increased engagement, despite engagement and motivation being inferential constructs that require clearer operationalization. We first clarify conceptual distinctions between engagement, motivation, and sustained attention, highlighting how overlapping behavioral indicators can lead to interpretative ambiguity. We then summarize a recurring evidence pattern showing that technology-related outcomes are most consistently captured through markers of attentional stability during task performance. Finally, we propose an alternative interpretation: technology may function as a context that supports sustained attention in ASD by leveraging predictable structure, sensory coherence, repetition, and immediate feedback, and in some cases by aligning with restricted interests while the indicators most commonly reported are insufficient to determine whether motivation or deeper forms of engagement have increased. We conclude that improving conceptual precision and measurement practices is essential to interpret intervention outcomes accurately and to identify which technological components modulate attention, motivation, and active participation in autistic individuals.

Authors

Institutions

Publication Details

Journal
Frontiers in Digital Health
Published
2026-04-17
DOI
https://doi.org/10.3389/fdgth.2026.1802286
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engagement, motivation, or sustained attention? Rethinking the effects of technology in autism

Giorgio Gugliotta, Chiara Failla, Flavia Marino, Paola Chilà et al.
Frontiers in Digital Health
Autism Spectrum Disorder Research
article

Engagement, motivation, or sustained attention? Rethinking the effects of technology in autism

Giorgio Gugliotta, Chiara Failla, Flavia Marino, Paola Chilà, Giovanni Pioggia, Chiara Marraffa, Anna Meduri, Gaia Roccaforte
article en

Abstract

Technology-based interventions for Autism Spectrum Disorder (ASD) are frequently justified on the grounds that digital tools "increase engagement" and "enhance motivation." However, across domains such as robot-assisted therapy, immersive environments (virtual and augmented reality), and ICT-based educational applications, outcomes labeled as engagement are often derived from observable indicators including gaze, time-on-task, interaction duration, task adherence, or reduced off-task behavior. While informative, these measures may primarily index sustained attention and, when considered in isolation, do not provide sufficient evidence to support inferences about intentional involvement or intrinsic motivation. In this Perspective paper, we argue that part of the literature implicitly equates increased on-task behavior with increased engagement, despite engagement and motivation being inferential constructs that require clearer operationalization. We first clarify conceptual distinctions between engagement, motivation, and sustained attention, highlighting how overlapping behavioral indicators can lead to interpretative ambiguity. We then summarize a recurring evidence pattern showing that technology-related outcomes are most consistently captured through markers of attentional stability during task performance. Finally, we propose an alternative interpretation: technology may function as a context that supports sustained attention in ASD by leveraging predictable structure, sensory coherence, repetition, and immediate feedback, and in some cases by aligning with restricted interests while the indicators most commonly reported are insufficient to determine whether motivation or deeper forms of engagement have increased. We conclude that improving conceptual precision and measurement practices is essential to interpret intervention outcomes accurately and to identify which technological components modulate attention, motivation, and active participation in autistic individuals.

Frontiers in Digital HealthVol. 8
University of Messina (IT), Uninett (Norway) (NO), Morpho (United States) (US), Institute for Biomedical Research and Innovation (IT), National Research Council (IT), Hologic (Germany) (DE)
Openalex Percentile: Top 18%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.