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  • Schuller, Björn (9)
  • Scherer, Klaus R. (8)
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  • Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing (13) (remove)

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Affective and behavioural computing: lessons learnt from the First Computational Paralinguistics Challenge (2019)
Schuller, Björn ; Weninger, Felix ; Zhang, Yue ; Ringeval, Fabien ; Batliner, Anton ; Steidl, Stefan ; Eyben, Florian ; Marchi, Erik ; Vinciarelli, Alessandro ; Scherer, Klaus ; Chetouani, Mohamed ; Mortillaro, Marcello
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2016)
Eyben, Florian ; Scherer, Klaus R. ; Schuller, Björn W. ; Sundberg, Johan ; André, Elisabeth ; Busso, Carlos ; Devillers, Laurence Y. ; Epps, Julien ; Laukka, Petri ; Narayanan, Shrikanth S. ; Truong, Khiet P.
Identifying emotions in opera singing: implications of adverse acoustic conditions (2018)
Parada-Cabaleiro, Emilia ; Schmitt, Maximilian ; Batliner, Anton ; Hantke, Simone ; Costantini, Giovanni ; Scherer, Klaus ; Schuller, Björn
Emotion in the singing voice: a deeper look at acoustic features in the light of automatic classification (2015)
Eyben, Florian ; Salomão, Gláucia L. ; Sundberg, Johan ; Scherer, Klaus R. ; Schuller, Björn
VoicePlay: an affective sports game operated by speech emotion recognition based on the component process model (2017)
Hagerer, Gerhard ; Eyben, Florian ; Schuller, Dagmar ; Scherer, Klaus R. ; Schuller, Björn
On the acoustics of emotion in audio: what speech, music, and sound have in common (2013)
Weninger, Felix ; Eyben, Florian ; Schuller, Björn ; Mortillaro, Marcello ; Scherer, Klaus R.
ERM4HCI 2013: the 1st workshop on emotion representation and modelling in human-computer-interaction-systems (2013)
Hartmann, Kim ; Böck, Ronald ; Becker-Asano, Christian ; Gratch, Jonathan ; Schuller, Björn ; Scherer, Klaus R.
Emotion recognition in the wild: incorporating voice and lip activity in multimodal decision-level fusion (2014)
Ringeval, Fabien ; Amiriparian, Shahin ; Eyben, Florian ; Scherer, Klaus ; Schuller, Björn
Evidence of emotion-antecedent appraisal checks in electroencephalography and facial electromyography (2018)
Coutinho, Eduardo ; Gentsch, Kornelia ; van Peer, Jacobien ; Scherer, Klaus R. ; Schuller, Björn
From speech to facial activity: towards cross-modal sequence-to-sequence attention networks (2019)
Stappen, Lukas ; Karas, Vincent ; Cummins, Nicholas ; Ringeval, Fabien ; Scherer, Klaus ; Schuller, Bjorn
The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)
Schuller, Björn ; Steidl, Stefan ; Batliner, Anton ; Vinciarelli, Alessandro ; Scherer, Klaus ; Ringeval, Fabien ; Chetouani, Mohamed ; Weninger, Felix ; Eyben, Florian ; Marchi, Erik ; Mortillaro, Marcello ; Salamin, Hugues ; Polychroniou, Anna ; Valente, Fabio ; Kim, Samuel
Emotional competence self-help mobile phone app versus cognitive behavioural self-help app versus self-monitoring app to promote mental wellbeing in healthy young adults (ECoWeB PROMOTE): an international, multicentre, parallel, open-label, randomised controlled trial (2024)
Watkins, Edward R. ; Warren, Fiona C. ; Newbold, Alexandra ; Hulme, Claire ; Cranston, Timothy ; Aas, Benjamin ; Bear, Holly ; Botella, Cristina ; Burkhardt, Felix ; Ehring, Thomas ; Fazel, Mina ; Fontaine, Johnny R. J. ; Frost, Mads ; Garcia-Palacios, Azucena ; Greimel, Ellen ; Hößle, Christiane ; Hovasapian, Arpine ; Huyghe, Veerle E. I. ; Karpouzis, Kostas ; Löchner, Johanna ; Molinari, Guadalupe ; Pekrun, Reinhard ; Platt, Belinda ; Rosenkranz, Tabea ; Scherer, Klaus R. ; Schlegel, Katja ; Schuller, Björn W. ; Schulte-Korne, Gerd ; Suso-Ribera, Carlos ; Voigt, Varinka ; Voß, Maria ; Taylor, Rod S.
Background Based on evidence that mental health is more than an absence of mental disorders, there have been calls to find ways to promote flourishing at a population level, especially in young people, which requires effective and scalable interventions. Despite their potential for scalability, few mental wellbeing apps have been rigorously tested in high-powered trials, derived from models of healthy emotional functioning, or tailored to individual profiles. We aimed to test a personalised emotional competence self-help app versus a cognitive behavioural therapy (CBT) self-help app versus a self-monitoring app to promote mental wellbeing in healthy young people. Methods This international, multicentre, parallel, open-label, randomised controlled trial within a cohort multiple randomised trial (including a parallel trial of depression prevention) was done at four university trial sites in four countries (the UK, Germany, Spain, and Belgium). Participants were recruited from schools and universities and via social media from the four respective countries. Eligible participants were aged 16–22 years with well adjusted emotional competence profiles and no current or past diagnosis of major depression. Participants were randomised (1:1:1) to usual practice plus either the emotional competence app, the CBT app or the self-monitoring app, by an independent computerised system, minimised by country, age, and self-reported gender, and followed up for 12 months post-randomisation. The primary outcome was mental wellbeing (indexed by the Warwick–Edinburgh Mental Well Being Scale [WEMWBS]) at 3-month follow-up, analysed in participants who completed the 3-month follow-up assessment. Outcome assessors were masked to group allocation. The study is registered with ClinicalTrials.gov , NCT04148508 , and is closed. Findings Between Oct 15, 2020, and Aug 3, 2021, 2532 participants were enrolled, and 847 were randomly assigned to the emotional competence app, 841 to the CBT app, and 844 to the self-monitoring app. Mean age was 19·2 years (SD 1·8). Of 2532 participants self-reporting gender, 1896 (74·9%) were female, 613 (24·2%) were male, 16 (0·6%) were neither, and seven (0·3%) were both. 425 participants in the emotional competence app group, 443 in the CT app group, and 447 in the self-monitoring app group completed the follow-up assessment at 3 months. There was no difference in mental wellbeing between the groups at 3 months (global p=0·47). The emotional competence app did not differ from the CBT app (mean difference in WEMWBS –0·21 [95% CI –1·08 to 0·66]) or the self-monitoring app (0·32 [–0·54 to 1·19]) and the CBT app did not differ from the self-monitoring app (0·53 [–0·33 to 1·39]). 14 of 1315 participants were admitted to or treated in hospital (or both) for mental health-related reasons, which were considered unrelated to the interventions (five participants in the emotional competence app group, eight in the CBT app group, and one in the self-monitoring app group). No deaths occurred. Interpretation The emotional competence app and the CBT app provided limited benefit in promoting mental wellbeing in healthy young people. This finding might reflect the low intensity of these interventions and the difficulty improving mental wellbeing via universal digital interventions implemented in low-risk populations.
Brief use of behavioral activation features predicts benefits of self-help app on depression symptoms: secondary analysis of a selective prevention trial in young people (2025)
Bralee, Emily ; Mostazir, Mohammod ; Warren, Fiona C. ; Newbold, Alexandra ; Hulme, Claire ; Cranston, Timothy ; Aas, Benjamin ; Bear, Holly ; Botella, Cristina ; Burkhardt, Felix ; Ehring, Thomas ; Fazel, Mina ; Fontaine, Johnny R. J. ; Frost, Mads ; Garcia-Palacios, Azucena ; Greimel, Ellen ; Hößle, Christiane ; Hovasapian, Arpine ; Huyghe, Veerle E. I. ; Iversen, Nanna ; Karpouzis, Kostas ; Löchner, Johanna ; Molinari, Guadalupe ; Pekrun, Reinhard ; Platt, Belinda ; Rosenkranz, Tabea ; Scherer, Klaus R. ; Schlegel, Katja ; Schuller, Björn W. ; Schulte-Korne, Gerd ; Suso-Ribera, Carlos ; Voigt, Varinka ; Voss, Maria ; Watkins, Edward R.
Objective: To explore which cognitive behavioral therapy (CBT) self-help app usage predicted depression during a selective prevention trial. Method: A recent controlled trial (ECoWeB-PREVENT) randomized young people aged 16–22, at increased risk for depression because of elevated worry/rumination, negative appraisals, and/or rejection sensitivity but without past or current history of major depression, to apps that provided self-monitoring, self-monitoring plus CBT self-help, or self-monitoring plus emotional competency self-help. Self-help included coping strategies for moment-by-moment use (Tools) and self-learning/planning exercises (Challenges). On the primary outcome (depression, Patient Health Questionnaire-9 [PHQ-9]) at 3-months follow-up (primary endpoint), only the CBT app outperformed self-monitoring. In this secondary analysis, only data from participants who used the CBT or self-monitoring apps at least once were analyzed to test what app use predicted change in depression from baseline to 3 months. Results: Of the original 1,262 participants (79% female), 558 were included (CBT, baseline, n = 273, PHQ-9: M = 7.48, SD = 3.9; 3 months, N = 163, PHQ-9: M = 8.83, SD = 4.92; self-monitoring, baseline, n = 285, PHQ-9: M = 7.45, SD = 4.26; 3 months, N = 183, PHQ-9: M = 7.48, SD = 3.9). Neither total app use, self-monitoring, nor use of Tools predicted change in depression (all ps > .05). Frequency of use of Challenges predicted lower depression symptoms and caseness at 3 months (β = −0.28, 95% CI [−0.53, −0.03], p = .029). Specifically, the use of behavioral activation challenges mediated the effects of the CBT app on depression over 3 months (β = −0.59, 95% CI [−1.13, −0.05], p = .03). Conclusions: Brief psychoeducation about behavioral activation principles in an app may protect young people from depression over 3 months, even when only used once.
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