2011
DOI: 10.1007/s11031-011-9270-5
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Emotion and information search in tactical decision-making: Moderator effects of feedback

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Cited by 12 publications
(15 citation statements)
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“…Demanding real-world tasks such as customer service and use of robotic surgical instruments (Klein et al, 2014) also elicit distress. • Evaluative stressors: Negative performance feedback elevates distress, whereas positive feedback mitigates distress and elevates task engagement (e.g., Kustubayeva, Matthews, & Panganiban, 2012). Real-life contexts in which evaluative stress is prevalent include tests, sports, math, and computer anxiety (Zeidner & Matthews, 2005).…”
Section: A Multidimensional Model Of Stressmentioning
confidence: 99%
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“…Demanding real-world tasks such as customer service and use of robotic surgical instruments (Klein et al, 2014) also elicit distress. • Evaluative stressors: Negative performance feedback elevates distress, whereas positive feedback mitigates distress and elevates task engagement (e.g., Kustubayeva, Matthews, & Panganiban, 2012). Real-life contexts in which evaluative stress is prevalent include tests, sports, math, and computer anxiety (Zeidner & Matthews, 2005).…”
Section: A Multidimensional Model Of Stressmentioning
confidence: 99%
“… Sources . (A) Guznov, Matthews, Funke, and Dukes (2011); (B) Matthews, Warm, Shaw, and Finomore (2014); (C) Neubauer, Matthews, and Saxby (2012); and (D) Kustubayeva, Matthews, and Panganiban (2012).…”
Section: A Multidimensional Model Of Stressmentioning
confidence: 99%
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“…It is emphasized that emotions are not strictly dependent on the tendency of reaction, but may be dependent on how to interpret the current conditions (Kustubayeva, Matthews, & Panganiban, 2012;Martin, 2001). It is underlined that anger management is important in daily life of individuals of different developmental periods studying in different educational stages.…”
Section: Discussion Conclusion and Suggestionsmentioning
confidence: 99%
“…Research over the past two decades has identified affect (emotion and mood) as a key factor in decision-making (Mellers, Schwartz & Cook, 1998;Loewenstein et al, 2001). Case studies (see Driskell & Salas, 1996) have implicated affective factors, such as stress, in operator errors across a range of human-machine system contexts, both individual and team, which require rapid action selection under conditions of limited time, high information load, and high uncertainty.…”
Section: Introductionmentioning
confidence: 99%