Information and Communication Technologies (ICTs) have become increasingly present in our lives, and their use has spread considerably. This paper presents a review of the way ICTs can help practitioners and researchers to study, promote, and train positive emotions. It is framed within the field of Positive Technologies: the applied scientific approach to the study of the use of technology to improve the quality of personal experience, with the goal of increasing wellbeing. First, the article presents an introduction to the topic of technologies and positive emotions. Then, it describes how ICTs can aid in monitoring, assessing, promoting, modifying, and training positive emotions. Finally, implications and future directions of the role of Positive Technologies in positive emotions are discussed. The authors conclude that, in the near future, Positive Technologies and the field of positive emotions will interact synergistically, producing an exponential growth in the understanding and promotion of positive emotions.

Depression and Social Anxiety Disorder are commonly conceptualized by the presence of negative affect. However, these disorders are also characterized by lack of positive affect, presence of negative cognitions, and emotion dysregulation which may play an important role in the onset and maintenance of these disorders. The present study explored differences among these variables in 189 clinical patients diagnosed with Major Depression, Social Anxiety Disorder, or both. Results showed differences in lack of positivity F(2, 185) = 18.92, p = .0001, η2 = .17, presence of negative cognitions F(2, 185) = 13.97, p = .0001, η2 = .13, and the use of rumination F(2, 185) = 14.63, p = .0001, η2 = .14 and punishment F(2, 181) = 7.64, p = .001, η2 = .08 among groups. Overall, lack of positivity, negative cognitions, and emotion dysregulation were elevated in the comorbid group, whereas lack of positivity and negative cognitions were specifically found for patients diagnosed with depression compared to socially anxious patients. In addition, the study examined the relation of both, lack of positivity and negative cognitions, to emotion regulation processes among groups. Overall, lack of positivity was associated with fear and avoidance in the social anxiety group (all r > .417, p < .01), whereas lack of positivity and negative cognitions were associated with rumination across the three groups (all r > .370, p < .01). Limitations of the present study and future directions are discussed.

Research on psychotherapy has traditionally focused on analyzing changes between the beginning and the end of a treatment. Few studies have addressed the pattern of therapeutic change during treatment. The aim of this study was to examine the pattern of changes in clinical and well-being variables during a cognitive behavioral therapy (CBT) program compared with an integrative positive psychology interventions program for clinical depression IPPI-D. 128 women with a diagnosis of major depression or dysthymia were assigned to the CBT or PPI group. A measure of depressive symptoms (i.e., Beck Depression Inventory) and well-being (i.e., Pemberton Happiness Index) were administered four times: at the beginning and end of the treatment, as well as during treatment (at sessions 4 and 7). Through mixed-model repeated measures ANOVAs, both depressive symptoms (p < .001, partial η2 = .52) and well-being (p < .001, partial η2 = .29) showed a significant improvement through the four assessment times. No significant interactions between time and treatment modality were found (ps > .08). The percentage of improvement in depressive symptoms in the first treatment period was higher than in the later ones (ps < .005). On the contrary, well-being showed a more gradual improvement (p = .15). These results highlight the importance of assessing the pattern of changes in symptoms and well-being separately.

Even though ageing is associated with declining cognitive capabilities, research has demonstrated an age-related improvement in affective well-being. This improvement can be related to increased resilience, developing as changes in emotion regulation at information-processing level. During negative mood, emotion regulation becomes a priority as demonstrated by an increased preference for positive over negative information in older adults. However, the effect of a positive mood on older adult’s attentional preferences has not been established yet. To investigate this, 37 older adults were randomly assigned to a relaxation or a control condition (music). Mood state was assessed before and after the manipulation. Attentional bias was measured by an exogenous cueing task, in which the location of the target was correctly or incorrectly cued by happy, sad or neutral facial pictures. Both groups showed a decrease in negative mood (p < .001, 95% CI [2.73, 5.97], d = .82) without changes in positive mood. The relaxation group showed a significantly bigger increase in feeling relaxed (p = .017, η2p = .15). No significant group differences were found for attentional bias. However, over the whole group, less positive mood after the manipulation was associated with more maintained attention for positive information (r = –.49, p < .01). These results indicate that older adults deploy emotion regulation strategies in attention during low positive mood. Flexible attentional processing of emotional information might serve as a resilience factor to maintain well-being during later stages of life.

While control conditions are vitally important in research, selecting the optimal control condition can be challenging. Problems are likely to arise when the choice of control condition is not tightly guided by the specific question that a given study aims to address. Such problems have become increasingly apparent in experimental psychopathology research investigating the experimental modification of cognitive biases, particularly as the focus of this research has shifted from theoretical questions concerning mechanistic aspects of the association between cognitive bias and emotional vulnerability, to questions that instead concern the clinical efficacy of ‘cognitive bias modification’ (CBM) procedures. We discuss the kinds of control conditions that have typically been employed in CBM research, illustrating how difficulties can arise when changes in the types of research questions asked are not accompanied by changes in the control conditions employed. Crucially, claims made on the basis of comparing active and control conditions within CBM studies should be restricted to those conclusions allowed by the specific control condition employed. CBM studies aiming to establish clinical utility are likely to require quite different control conditions from CBM studies aiming to illuminate mechanisms. Further, conclusions concerning the clinical utility of CBM interventions cannot necessarily be drawn from studies in which the control condition has been chosen to answer questions concerning mechanisms. Appreciating the need to appropriately alter control conditions in the transition from basic mechanisms-focussed investigations to applied clinical research could greatly facilitate the translational process.