Calvo, Rafael A.

Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

Calvo, R. A., & D'Mello, S. (2010) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 1,893

Positive Computing: Technology for Wellbeing and Human Potential

Calvo, R. A., & Peters, D. (2014) · The MIT Press eBooks

Innovative Human-Technology InteractionDigital Mental Health Interventions

Cited by 376

Responsible AI—two frameworks for ethical design practice

Peters, D., Vold, K., Robinson, D., & Calvo, R. A. (2020) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AIFlooding and Environmental Impact

Cited by 293

Application of Synchronous Text-Based Dialogue Systems in Mental Health Interventions: Systematic Review

Hoermann, S., McCabe, K. L., Milne, D. N., & Calvo, R. A. (2017) · Journal of Medical Internet Research

Digital Mental Health InterventionsTelemedicine and Telehealth Implementation

Cited by 263

Effectiveness of eHealth interventions for reducing mental health conditions in employees: A systematic review and meta-analysis

Stratton, E., Lampit, A., Choi, I., Calvo, R. A., Harvey, S. B., & Glozier, N. (2017) · PLOS ONE

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 252

eHealth interventions for the prevention of depression and anxiety in the general population: a systematic review and meta-analysis

Deady, M., Choi, I., Calvo, R. A., Glozier, N., Christensen, H., & Harvey, S. B. (2017) · BMC Psychiatry

Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 222

Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks

Nourbakhsh, N., Wang, Y., Chen, F., & Calvo, R. A. (2012) · Proceedings of the 24th Australian Computer-Human Interaction Conference

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 219

Effectiveness of training workplace managers to understand and support the mental health needs of employees: a systematic review and meta-analysis

Gayed, A., Milligan-Saville, J. S., Nicholas, J., Bryan, B. T., LaMontagne, A. D., Milner, A., Madan, I., Calvo, R. A., Christensen, H., Mykletun, A., et al. (2018) · Occupational and Environmental Medicine

Workplace Health and Well-beingMental Health Treatment and Access

Cited by 183

Young people’s preferences for an asthma self-management app highlight psychological needs: a participatory study

Peters, D., Davis, S., Calvo, R. A., Sawyer, S. M., Smith, L., & Foster, J. M. (2017) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 92

Preventing depression using a smartphone app: a randomized controlled trial

Deady, M., Glozier, N., Calvo, R., Johnston, D., Mackinnon, A., Milne, D., Choi, I., Gayed, A., Peters, D., Bryant, R., et al. (2022) · Psychological Medicine

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 85

Preliminary Effectiveness of a Smartphone App to Reduce Depressive Symptoms in the Workplace: Feasibility and Acceptability Study

Deady, M., Johnston, D., Milne, D., Glozier, N., Peters, D., Calvo, R., & Harvey, S. (2018) · JMIR mHealth and uHealth

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 72

The importance of manager support for the mental health and well-being of ambulance personnel

Petrie, K., Gayed, A., Bryan, B. T., Deady, M., Madan, I., Savic, A., Wooldridge, Z., Counson, I., Calvo, R. A., Glozier, N., et al. (2018) · PLOS ONE

Workplace Health and Well-beingOccupational Health and Burnout

Cited by 72

Worker Preferences for a Mental Health App Within Male-Dominated Industries: Participatory Study

Peters, D., Deady, M., Glozier, N., Harvey, S., & Calvo, R. A. (2018) · JMIR Mental Health

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 56

Compassion vs. empathy: designing for resilience

Peters, D., & Calvo, R. (2014) · Interactions

Empathy and Medical EducationInnovative Human-Technology Interaction

Cited by 43

Designing smartphone mental health applications for emergency service workers

Deady, M., Peters, D., Lang, H., Calvo, R., Glozier, N., Christensen, H., & Harvey, S. B. (2017) · Occupational Medicine

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 40

Advancing impact assessment for intelligent systems

Calvo, R. A., Peters, D., & Cave, S. (2020) · Nature Machine Intelligence

Ethics and Social Impacts of AIEnvironmental and Social Impact Assessments

Cited by 39

Automatic Cognitive Load Detection from Face, Physiology, Task Performance and Fusion During Affective Interference

Hussain, M. S., Calvo, R. A., & Chen, F. (2014) · Interacting with Computers

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 34

Technology evaluations are associated with psychological need satisfaction across different spheres of experience: an application of the METUX scales

Burnell, R., Peters, D., Ryan, R. M., & Calvo, R. A. (2023) · Frontiers in Psychology

Innovative Human-Technology InteractionTechnology Use by Older Adults

Cited by 33

Smartphone application for preventing depression: Study protocol for a workplace randomised controlled trial

Deady, M., Johnston, D. A., Glozier, N., Milne, D., Choi, I., Mackinnon, A., Mykletun, A., Calvo, R. A., Gayed, A., Bryant, R., et al. (2018) · BMJ Open

Digital Mental Health InterventionsMobile Health and mHealth Applications

Cited by 14