Negative Affect Reduces Team Awareness

Pfaff, Mark S.

doi:10.1177/0018720811432307

Cited by 44 publications

(4 citation statements)

References 44 publications

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“…Although direct empirical work for the negative influences of NGAT on team innovation via information elaboration remains missing, a few studies have provided indirect support for our argument. For instance, Pfaff (2012) indicated that the attention-narrowing effects of sad mood associated with individual cognitive functions might demonstrate analog impacts at the team level. Specifically, a shared negative affect may reduce team awareness by focusing team members’ attention on local details rather than the big picture, which either fails to attend to others’ needs or neglects information from other members (Pfaff, 2012), and thus is considered detrimental to team innovation.…”

Section: Ngat and Team Innovation: The Mediating Role Of Information ...mentioning

confidence: 99%

“…For instance, Pfaff (2012) indicated that the attention-narrowing effects of sad mood associated with individual cognitive functions might demonstrate analog impacts at the team level. Specifically, a shared negative affect may reduce team awareness by focusing team members’ attention on local details rather than the big picture, which either fails to attend to others’ needs or neglects information from other members (Pfaff, 2012), and thus is considered detrimental to team innovation. Cole et al (2008) also found that NGAT distracts team members from focusing on job tasks and goal pursuit, thereby resulting in poorer team performance.…”

Section: Ngat and Team Innovation: The Mediating Role Of Information ...mentioning

confidence: 99%

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A Multilevel Study of Group Affective Tone and Team Innovation: A Moderated Mediation Model

Huang

Liu

Cheung

et al. 2021

Group & Organization Management

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Drawing on broaden-and-build theory and threat-rigidity hypothesis, we theorized and tested a multilevel model to examine the moderating effects of transformational leadership (TFL) on the team-level process that links positive/negative group affective tone (PGAT/NGAT) to team innovation via information elaboration. Data were collected from 299 team members and 65 leaders from Taiwanese companies at two time points. The multilevel path analysis demonstrated support for a positive indirect effect of PGAT on team innovation via information elaboration and a negative indirect effect of NGAT on team innovation via information elaboration. The positive indirect effect of PGAT on team innovation via information elaboration was found to be stronger when TFL was high rather than low. However, TFL did not attenuate the negative effects of NGAT. Negative group affective tone was negatively related to information elaboration when TFL was high, whereas NGAT had no significant relationship with information elaboration when TFL was low. Theoretical and practical implications are discussed.

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Section: Ngat and Team Innovation: The Mediating Role Of Information ...mentioning

confidence: 99%

Section: Ngat and Team Innovation: The Mediating Role Of Information ...mentioning

confidence: 99%

A Multilevel Study of Group Affective Tone and Team Innovation: A Moderated Mediation Model

Huang

Liu

Cheung

et al. 2021

Group & Organization Management

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“…They found that stress increases communication quantity and efficiency. They do, however, underline that frequent requests for information are associated with poorer task performance (Pfaff, 2012). Stress also influences academic performance.…”

Section: Theory Of Stressmentioning

confidence: 83%

PASS: A Multimodal Database of Physical Activity and Stress for Mobile Passive Body/ Brain-Computer Interface Research

et al. 2020

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With the burgeoning of wearable devices and passive body/brain-computer interfaces (B/BCIs), automated stress monitoring in everyday settings has gained significant attention recently, with applications ranging from serious games to clinical monitoring. With mobile users, however, challenges arise due to other overlapping (and potentially confounding) physiological responses (e.g., due to physical activity) that may mask the effects of stress, as well as movement artifacts that can be introduced in the measured signals. For example, the classical increase in heart rate can no longer be attributed solely to stress and could be caused by the activity itself. This makes the development of mobile passive B/BCIs challenging. In this paper, we introduce PASS, a multimodal database of Physical Activity and StresS collected from 48 participants. Participants performed tasks of varying stress levels at three different activity levels and provided quantitative ratings of their perceived stress and fatigue levels. To manipulate stress, two video games (i.e., a calm exploration game and a survival game) were used. Peripheral physical activity (electrocardiography, electrodermal activity, breathing, skin temperature) as well as cerebral activity (electroencephalography) were measured throughout the experiment. A complete description of the experimental protocol is provided and preliminary analyses are performed to investigate the physiological reactions to stress in the presence of physical activity. The PASS database, including raw data and subjective ratings has been made available to the research community at http://musaelab.ca/pass-database/. It is hoped that this database will help advance mobile passive B/BCIs for use in everyday settings.

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“…Besides capturing stress variability over time, SSGs enable researchers to capture stress variability between members. Conventional scoring methods used in stress and synchrony research often overlook variance between members (e.g., Pfaff, 2012; Price & LaFiandra, 2017), assume stationary, or require a strong statistical expertise. This method can facilitate qualitative research through stress state labeling and quantitative research through SSG analytics.…”

Section: Discussionmentioning

confidence: 99%

Team stress: Grasping physiological stress dynamics in small teams through state space grids.

Sassenus,

Van den Bossche,

Poels

2024

International Journal of Stress Management

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Recent studies have come to recognize the benefit of adopting a team-level perspective when studying stress in a team. However, most studies on team stress still rely on traditional scoring methods that provide limited insight into the dynamics that characterize team stress as a temporal and multilevel construct. This article explores how state space grids (SSGs) can identify, track, and visualize physiological stress dynamics over time and between members during a task. We collected electrodermal activity data from nine teams to demonstrate the application of SSGs during a flight simulator task. The results show that SSGs enable researchers to capture and visualize dynamic changes in stress levels and the association between member's stress levels in teams. SSG analytics illustrate the importance of capturing stress variability over time and between members as, in this sample, teams were most attracted toward a state of shared low-low or high-high states in the grid, while shared and affiliated intermediated states in the middle of the SSGs were often just "passed" through by teams. In the Discussion section, this article elaborated more on how SSGs can lead to more novel and nuanced insights into the nature and impact of stress in teams as well as applied in other contexts.

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Negative Affect Reduces Team Awareness

Abstract: Disentangling stress from mood affords the opportunity to target more specific interventions that better support team awareness and task performance.

Cited by 44 publications

References 44 publications

A Multilevel Study of Group Affective Tone and Team Innovation: A Moderated Mediation Model

A Multilevel Study of Group Affective Tone and Team Innovation: A Moderated Mediation Model

PASS: A Multimodal Database of Physical Activity and Stress for Mobile Passive Body/ Brain-Computer Interface Research

Team stress: Grasping physiological stress dynamics in small teams through state space grids.

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