REFERENCES
Adams, C., Lockton, E., Freed, J., Gaile, J., Earl, G.,
McBean, K., Nash, M., Green, J., Vail, A., and Law,
J. (2012). The social communication intervention
project: A randomized controlled trial of the effective-
ness of speech and language therapy for school-age
children who have pragmatic and social communica-
tion problems with or without autism spectrum disor-
der. International journal of language & communica-
tion disorders / Royal College of Speech & Language
Therapists, 47:233–44.
Baldassarre, M. T., Barletta, V. S., Caivano, D., and Pic-
cinno, A. (2021). Integrating security and privacy in
hcd-scrum. In CHItaly 2021: 14th Biannual Con-
ference of the Italian SIGCHI Chapter, CHItaly ’21,
New York, NY, USA. Association for Computing Ma-
chinery.
Barletta, V. S., Cassano, F., Pagano, A., and Piccinno, A.
(2022). A collaborative ai dataset creation for speech
therapies. volume 3136, page 81 – 85.
Bell, A. (2007). Designing and testing questionnaires for
children. Journal of research in nursing, page 462.
Butcher, P., Elias, A., Raven, R., Yeatman, J., and Little-
johns, D. (1987). Psychogenic voice disorder unre-
sponsive to speech therapy: Psychological character-
istics and cognitive-behaviour therapy in children: A
systematic review of features and challenges. Interna-
tional Journal of language and speech disorders.
Cassano, F., Pagano, A., and Piccinno, A. (2022). Support-
ing speech therapies at (smart) home through voice
assistance. In Novais, P., Carneiro, J., and Chamoso,
P., editors, Ambient Intelligence – Software and Appli-
cations – 12th International Symposium on Ambient
Intelligence, pages 105–113, Cham. Springer Interna-
tional Publishing.
Craig, P., Dieppe, P., Macintyre, S., Michie, S., Nazareth,
I., and Petticrew, M. (2008). Developing and evaluat-
ing complex interventions: the new medical research
council guidance. British Medical Journal.
Desolda, G., Lanzilotti, R., Piccinno, A., and Rossano, V.
(2021). A system to support children in speech ther-
apies at home. In CHItaly 2021: 14th Biannual Con-
ference of the Italian SIGCHI Chapter, CHItaly ’21,
New York, NY, USA. Association for Computing Ma-
chinery.
Di Bitonto, P., Corriero, N., Pesare, E., Rossano, V., and
Roselli, T. (2014). Training and learning in e-health
using the gamification approach: The trainer interac-
tion. Lecture Notes in Computer Science (including
subseries Lecture Notes in Artificial Intelligence and
Lecture Notes in Bioinformatics), 8515 LNCS(PART
3):228 – 237.
Federici, S., Mele, M. L., Bracalenti, M., De Filippis, M. L.,
Lanzilotti, R., Desolda, G., Borsci, S., Gaudino, G.,
Cocco, A., Amendola, M., and Simonetti, E. (2021).
A Chatbot Solution for eGLU-Box Pro: The Usabil-
ity Evaluation Platform for Italian Public Administra-
tions, pages 268–279.
Hourcade, J. P. (2015). Child-computer interaction. The
publishing company, 1st edition.
Huang, R. X., Pagano, A., and Marengo, A. (2021). Build-
ing a pedagogical framework for the education of sus-
tainable development using a values-based education
approach. page 78 – 82.
Jesus, L., Martinez, J., Santos, J., Hall, A., and Joffe, V.
(2019a). Comparing traditional and tablet-based in-
tervention for children with speech sound disorders:
A randomized controlled trial. Journal of Speech Lan-
guage and Hearing Research, 62:4045–4061.
Jesus, L., Santos, J., and Martinez, J. (2019b). The table
to tablet (t2t) speech and language therapy software
development roadmap. JMIR Research Protocols, 8.
Law, J., Garrett, Z., and Nye, C. (2003). ‘speech and lan-
guage therapy intervention for children with primary
speech and language delay or disorder: Cochrane
developmental, psychosocial and learning problems
group.’. Cochrane database of systematic reviews
(Online), 3:CD004110.
Lazar, J., Feng, J. H., and Hochheiser, H. (2017). Chapter
6 - diaries. In Lazar, J., Feng, J. H., and Hochheiser,
H., editors, Research Methods in Human Computer
Interaction (Second Edition), pages 135–152. Morgan
Kaufmann, Boston, second edition edition.
Pagano, A. and Marengo, A. (2021). Training time opti-
mization through adaptive learning strategy. page 563
– 567.
Pentiuc, S. G., Tobolcea, I., Schipor, O. A., Danubianu, M.,
and Schipor, D. M. (2010). Translation of the speech
therapy programs in the logomon assisted therapy sys-
tem. Advances in Electrical and Computer Engineer-
ing, 10:48–52.
Razak, F. H. A., Hafit, H., Sedi, N., Zubaidi, N. A.,
and Haron, H. (2010). Usability testing with chil-
dren: Laboratory vs field studies. In 2010 Interna-
tional Conference on User Science and Engineering
(i-USEr), pages 104–109.
Rossano, V., Lanzilotti, R., Cazzolla, A., and Roselli, T.
(2020). Augmented reality to support geometry learn-
ing. IEEE Access, 8:107772–107780.
Saeedi, S., Bouraghi, H., Seifpanahi, M.-S., and
Ghazisaeedi, M. (2022). Application of digital games
for speech therapy in children: A systematic re-
view of features and challenges. National Library of
Medicine.
Shahsavari, H., Matourypour, P., Ghyasvandian, S., and Ne-
jad, M. (2020). Medical research council framework
for development and evaluation of complex interven-
tions: A comprehensive guidance. Journal of Educa-
tion and Health Promotion, 9:88.
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