Background The Self-Expression Emotion Regulation in Art Therapy Scale (SERATS) was developed as art therapy lacked outcome measures that could be used to monitor the specific effects of art therapy. Although the SERATS showed good psychometric properties in earlier studies, it lacked convergent validity and thus construct validity. Method To test the convergent validity of the SERATS correlation was examined with the EES (Emotional Expressivity Scale), Emotion Regulation Strategies for Artistic Creative Activities Scale (ERS-ACA) and Healthy-Unhealthy Music Scale (HUMS). Patients diagnosed with a Personality Disorder, and thus having self-regulation and emotion regulation problems (n = 179) and a healthy student population (n = 53) completed the questionnaires (N = 232). Results The SERATS showed a high reliability and convergent validity in relation to the ERS-ACA approach strategies and self-development strategies in both patients and students and the HUMS healthy scale, in patients. Hence, what the SERATS measures is highly associated with emotion regulation strategies like acceptance, reappraisal, discharge and problem solving and with improving a sense of self including self-identity, increased self-esteem and improved agency as well as the healthy side of art making. Respondents rated the SERATS as relatively easy to complete compared to the other questionnaires. Conclusion The SERATS is a valid, useful and user-friendly tool for monitoring the effect of art therapy that is indicative of making art in a healthy way that serves positive emotion regulation and self-development.
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Anxiety among pregnant women can significantly impact their overall well-being. However, the development of data-driven HCI interventions for this demographic is often hindered by data scarcity and collection challenges. In this study, we leverage the Empatica E4 wristband to gather physiological data from pregnant women in both resting and relaxed states. Additionally, we collect subjective reports on their anxiety levels. We integrate features from signals including Blood Volume Pulse (BVP), Skin Temperature (SKT), and Inter-Beat Interval (IBI). Employing a Support Vector Machine (SVM) algorithm, we construct a model capable of evaluating anxiety levels in pregnant women. Our model attains an emotion recognition accuracy of 69.3%, marking achievements in HCI technology tailored for this specific user group. Furthermore, we introduce conceptual ideas for biofeedback on maternal emotions and its interactive mechanism, shedding light on improved monitoring and timely intervention strategies to enhance the emotional health of pregnant women.
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Dynamic body feedback is used in dance movement therapy (DMT), with the aim to facilitate emotional expression and a change of emotional state through movement and dance for individuals with psychosocial or psychiatric complaints. It has been demonstrated that moving in a specific way can evoke and regulate related emotions. The current study aimed to investigate the effects of executing a unique set of kinetic movement elements on an individual mover’s experience of happiness. A specific sequence consisting of movement elements that recent studies have related to the feeling of happiness was created and used in a series of conditions. To achieve a more realistic reflection of DMT practice, the study incorporated the interpersonal dimension between the dance movement therapist (DMTh) and the client, and the impact of this interbodily feedback on the emotional state of the client. This quantitative study was conducted in a within-subject design. Five male and 20 female participants (mean age = 20.72) participated in three conditions: a solo executed movement sequence, a movement sequence executed with a DMTh who attuned and mirrored the movements, and a solo executed movement sequence not associated with feelings of happiness. Participants were only informed about the movements and not the feelings that may be provoked by these movements. The effects on individuals were measured using the Positive and Negative Affect Schedule and visual analog scales. Results showed that a specific movement sequence based on movement elements associated with happiness executed with a DMTh can significantly enhance the corresponding affective state. An additional finding of this study indicated that facilitating expressed emotion through movement elements that are not associated with happiness can enhance feelings such as empowerment, pride, and determination, which are experienced as part of positive affect. The results show the impact of specific fullbody movement elements on the emotional state and the support outcome of DMT on emotion regulation.
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Unlike common nouns, person names refer to unique entities and generally have a referring function. We used event-related potentials to investigate the time course of identifying the emotional meaning of nouns and names. The emotional valence of names and nouns were manipulated separately. The results show early N1 effects in response to emotional valence only for nouns. This might reflect automatic attention directed towards emotional stimuli. The absence of such an effect for names supports the notion that the emotional meaning carried by names is accessed after word recognition and person identification. In addition, both names with negative valence and emotional nouns elicited late positive effects, which have been associated with evaluation of emotional significance. This positive effect started earlier for nouns than for names, but with similar durations. Our results suggest that distinct neural systems are involved in the retrieval of names' and nouns' emotional meaning.
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This article aims to gauge students’ perceptions of the Dutch Party for Animals (PvdD) in order to reflect on the political representation of nonhumans (animals). The support for political representation of nonhumans is based on the ethical underpinning of deep ecology; growing recognition of the importance of sustainability; and increased societal support for animal rights and welfare. This article reflects on these developments using Bachelor students’ assignments from a Sustainable Business course, which asked them to reflect on the underlying principles of the PvdD. Student assignments indicate that educational efforts targeted at fostering ecological citizenship have a positive effect on the recognition and acceptance of ecocentric values. https://doi.org/10.1163/15685306-00001660 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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This article aims to gauge students’ perceptions of the Dutch Party for Animals (PvdD) in order to reflect on the political representation of nonhumans (animals). The support for political representation of nonhumans is based on the ethical underpinning of deep ecology; growing recognition of the importance of sustainability; and increased societal support for animal rights and welfare. This article reflects on these developments using Bachelor students’ assignments from a Sustainable Business course, which asked them to reflect on the underlying principles of the PvdD. Student assignments indicate that educational efforts targeted at fostering ecological citizenship have a positive effect on the recognition and acceptance of ecocentric values. https://doi.org/10.30560/sdr.v1n1p11 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Bij mensen met een stoornis in het gebruik van alcohol kan de gezichtsemotieherkenning verminderd zijn. In twee studies werd een relatie hiervan met terugval gevonden. Niet bekend is of deze relatie kan worden verklaard door de hypothese dat gezichtsemotieherkenning samenhangt met minder sociale steun, wat gerelateerd is aan terugval. Het doel van deze studie was nogmaals te onderzoeken in hoeverre gezichtsemotieherkenning een voorspeller is voor terugval en daarnaast of gezichtsemotieherkenning een negatieve invloed heeft op terugval doordat minder sociale steun wordt ervaren. In deze studie werd een gezichtsemotieherkenningstaak na twee tot vijf weken abstinentie afgenomen bij 66 patiënten die vanwege een stoornis in gebruik van alcohol in behandeling waren. Na zes maanden werd vastgelegd of er sprake was van terugval. In deze studie werden geen aanwijzingen gevonden dat gezichtsemotieherkenning van invloed is op terugval. Tevens werd geen relatie gevonden tussen gezichtsemotieherkenning en ervaren sociale steun. Geconcludeerd wordt dat verder onderzoek op dit gebied gewenst is.
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“Early warning signs of aggression” refers to recurring changes in behaviors, thoughts, perceptions, and feelings of the patient that are considered to be precursors of aggressive behavior. The early recognition of these signs offers possibilities for early intervention and prevention of aggressive behaviors in forensic patients. The Forensic Early warning Signs of Aggression Inventory (FESAI) was developed to assist nurses and patients in identifying and monitoring these early warning signs of aggression.
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Bij mensen met een stoornis in het gebruik van alcohol kan de gezichtsemotieherkenning verminderd zijn. In twee studies werd een relatie hiervan met terugval gevonden. Niet bekend is of deze relatie kan worden verklaard door de hypothese dat gezichtsemotieherkenning samenhangt met minder sociale steun, wat gerelateerd is aan terugval. Het doel van deze studie was nogmaals te onderzoeken in hoeverre gezichtsemotieherkenning een voorspeller is voor terugval en daarnaast of gezichtsemotieherkenning een negatieve invloed heeft op terugval doordat minder sociale steun wordt ervaren. In deze studie werd een gezichtsemotieherkenningstaak na twee tot vijf weken abstinentie afgenomen bij 66 patiënten die vanwege een stoornis in gebruik van alcohol in behandeling waren. Na zes maanden werd vastgelegd of er sprake was van terugval. In deze studie werden geen aanwijzingen gevonden dat gezichtsemotieherkenning van invloed is op terugval. Tevens werd geen relatie gevonden tussen gezichtsemotieherkenning en ervaren sociale steun. Geconcludeerd wordt dat verder onderzoek op dit gebied gewenst is.
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De opkomst van Chat GPT laat zien hoe AI ingrijpt in ons dagelijks leven en het onderwijs. Maar AI is meer dan Chat GPT: van zoekmachines tot de gezichtsherkenning in je telefoon: data en algoritmes veranderen de levens van onze studenten en hun toekomstige werkveld. Wat betekent dit voor de opleidingen in het HBO waar voor wij werken? Voor de inspiratie-sessie De maatschappelijke impact van AI tijdens het HU Onderwijsfestival 2023 hebben wij onze collega’s uitgenodigd om samen met ons mee te denken over de recente AI-ontwikkelingen. We keken niet alleen naar de technologie, maar juist ook naar de maatschappelijke impact en wat de kansen en bedreigingen van AI zijn voor een open, rechtvaardige en duurzame samenleving. Het gesprek voerde we met onze collega’s (zowel docenten als medewerkers van de diensten) aan de hand van drie casussen met. De verzamelde resultaten en inzichten van deze gesprekken zijn samengebracht op een speciaal ontwikkelde poster voor de workshop (zie figuur 1). We hebben deze inzichten gebundeld en hieronder zijn ze te lezen.
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