Towards enhanced performance: an integrated framework of emotional valence, arousal, and task demand.

Extensive evaluations exist concerning the linkage between objective task demands and subsequent effects on user performance. However, the human user also experiences a range of emotions related to external task demands. Problematically, little is known about the associations between emotional valen...

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Publicado en:Ergonomics Vol. 67; no. 12; pp. 2082 - 2096
Autores principales: Schmitz-Hübsch, Alina, Gruber, M. E., Diaz, Yazmin, Wirzberger, Maria, Hancock, P. A.
Formato: tables/charts Journal Article
Publicado: Taylor & Francis Ltd Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2024
      vid: 67
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/00140139.2024.2370440
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        atl: Towards enhanced performance: an integrated framework of emotional valence, arousal, and task demand.
      aug:
        au:
          Schmitz-Hübsch, Alina
          Gruber, M. E.
          Diaz, Yazmin
          Wirzberger, Maria
          Hancock, P. A.
        affil: University of Stuttgart, Stuttgart, Germany
      sug:
        subj:
          Intelligent Systems Utilization
          Adaptation, Psychological Evaluation
          Adaptation, Physiological Evaluation
          Emotions
          Arousal
          Task Performance and Analysis
          Models, Theoretical
          Safety
          Automation
          Productivity
          User-Computer Interface
          Stress, Psychological
          Information Systems
          Adaptation, Occupational
          Job Performance
      ab: Extensive evaluations exist concerning the linkage between objective task demands and subsequent effects on user performance. However, the human user also experiences a range of emotions related to external task demands. Problematically, little is known about the associations between emotional valence, and arousal associated with the task demand–performance axis. In this paper, we advance a theoretical model concerning such interactive influences using three dimensions: (1) emotional valence, (2) arousal, and (3) task demand. The model evaluates the impact of these dimensions on user performance. It also identifies critical emotional user states, particularly those resulting in negative performance effects, as well as non-critical emotional states that can positively impact performance. Finally, we discuss the implications for affect-adaptive systems that can mitigate the impact of critical emotional states while leveraging the benefits of non-critical ones. PRACTITIONER SUMMARY: To effectively model performance and prevent errors in safety-critical human-machine systems, it is crucial to consider user states of emotional valence, arousal, and the current task demand. The proposed model enables the classification of critical and non-critical states within affect-adaptive systems. States characterised by negative valence, high arousal, and overload should be avoided to foster high performance, especially in safety-critical environments. Additionally, the present work offers recommendations for preserving and restoring non-critical states to ensure optimal performance and provides implications for training.
      pubtype: Academic Journal
      doctype:
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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