IntroductionImpulsivity is present in a range of mental disorders and has been associated with suicide. Traditional measures of impulsivity have certain limitations, such as the lack of ecological validity. Virtual reality (VR) may overcome these issues. This study aims to validate the VR assessment tool ‘Spheres & Shield Maze Task’ and speech analysis by comparing them with traditional measures. We hypothesise that these innovative tools will be reliable and acceptable by patients, potentially improving the simultaneous assessment of impulsivity and decision-making.Methods and analysisThis study will be carried out at the University Hospital Fundación Jiménez Díaz (Madrid, Spain). Our sample will consist of adults divided into three groups: psychiatric outpatients with a history of suicidal thoughts and/or behaviours, psychiatric outpatients without such a history and healthy volunteers. The target sample size was established at 300 participants (100 per group). Participants will complete the Barratt Impulsiveness Scale 11; the Urgency, Premeditation, Perseverance, Sensation Seeking, Positive Urgency, Impulsive Behaviour Scale; Iowa Gambling Task; Continuous Performance Test; Stop signal Task, and Go/no-go task, three questions of emotional affect, the Spheres & Shield Maze Task and two satisfaction surveys. During these tasks, participant speech will be recorded. Construct validity of the VR environment will be calculated. We will also explore the association between VR-assessed impulsivity and history of suicidal thoughts and/or behaviour, and the association between speech and impulsivity and decision-making.Ethics and disseminationThis study was approved by the Ethics Committee of the University Hospital Fundación Jiménez Díaz (PIC128-21_FJD). Participants will be required to provide written informed consent. The findings will be presented in a series of manuscripts that will be submitted to peer-reviewed journals for publication.Trial registration numberNCT05109845; Pre-results.

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Eye tracking in recommender systems can provide an additional source of implicit feedback, while helping to evaluate other sources of feedback. In this study, we use eye tracking data to inform a collaborative filtering model for movie recommendation providing an improvement over the click-based implementations and additionally analyze the area of interest (AOI) duration as related to the known information of click data and movies seen previously, showing AOI information consistently coincides with these items of interest. CCS CONCEPTS• Information systems → Recommender systems; Content ranking; • Human-centered computing → Human computer interaction (HCI).

(1) Background: The present study aimed to investigate the onset of mental disorders in the six months following hospitalization for COVID-19 in people without a previous psychiatric history. (2) Methods: This was a longitudinal study carried out among adults who had been hospitalized due to COVID-19 infection. Six months after discharge, a series of questionnaires were administered (the World Health Organization Well-being Index (WHO-5), the Patient Health Questionnaire-9, the General Anxiety Disorder Questionnaire-7, and the Drug Abuse Screen Test, among others). Based on these scores, a compound Yes/No variable that indicated the presence of common mental disorders was calculated. A multivariate logistic regression was built to explore the factors associated with the presence of common mental disorders. (3) Results: One hundred and sixty-eight patients (57.34%) developed a common mental disorder in the 6 months following hospital discharge after COVID-19 infection. Three variables were independently associated with the presence of common mental disorders after hospitalization for COVID-19, and the WHO-5 duration of hospitalization), and severity of illness. (4) Conclusions: Among people with no previous psychiatric history, we observed a high incidence of mental disorders after COVID-19 hospitalization. A moderate (1–2 weeks) duration of hospitalization may pose a higher risk of post-COVID-19 onset of a mental health condition than longer or shorter durations of medical hospitalization. Further research is needed to better understand the mechanisms underlying the psychopathological consequences of COVID-19 and their predictors.