Evidence map›Paper›PMID 42078178›Full record

ArticleFrontiers in digital health2026

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

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

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anna MeduriInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Chiara MarraffaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Gaia RoccaforteInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Paola ChilàInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Chiara FaillaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Giorgio GugliottaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Giovanni PioggiaInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.
Flavia MarinoInstitute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

autism spectrum disorderengagementoutcome measurementrobot-assisted therapysustained attentionvirtual reality

Identifiers

PMID42078178
PMCPMC13132831

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.