Internet Addiction (IA) is representing one of the main concerns in the domain of neuropsychiatry in last years, with more and more subjects being affected by this clinical condition as time flows, especially in cohorts of younger individuals, particularly adolescents. Until some time ago, IA was mainly studied using standardized questionnaires, employed for their easy administration, but carrying out several drawbacks, including bias and lack of objectivity. More recently, technological tools have been employed in this domain with some success, enabling a more accurate, unbiased analysis of the phenomenon at both an individual and cohort level. This short paper summarizes the main literature evidences related to the use of consumer technologies in studies concerning IA, raising questions and looking forward to future perspectives for this increasingly prevalent condition.

Neurophysiological correlates for Internet Addiction: a literature-based evidence

Tonacci Alessandro
Primo
;
Billeci Lucia
Penultimo
;
Sansone Francesco
Ultimo
2022

Abstract

Internet Addiction (IA) is representing one of the main concerns in the domain of neuropsychiatry in last years, with more and more subjects being affected by this clinical condition as time flows, especially in cohorts of younger individuals, particularly adolescents. Until some time ago, IA was mainly studied using standardized questionnaires, employed for their easy administration, but carrying out several drawbacks, including bias and lack of objectivity. More recently, technological tools have been employed in this domain with some success, enabling a more accurate, unbiased analysis of the phenomenon at both an individual and cohort level. This short paper summarizes the main literature evidences related to the use of consumer technologies in studies concerning IA, raising questions and looking forward to future perspectives for this increasingly prevalent condition.
2022
Istituto di Fisiologia Clinica - IFC
9781665483742
biomedical signals
consumer technology
ECG
EEG
wearables
Internet Addiction
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/444161
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