Social–physiological compliance as a determinant of team performance

Henning, Robert A.; Boucsein, Wolfram; Gil, Monica Claudia

doi:10.1016/s0167-8760(00)00190-2

Cited by 99 publications

(149 citation statements)

References 13 publications

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“…In a professional setting, this information can be used to optimize team performance. Henning and colleagues [85] have shown that emotional convergence is a significant predictor of group performance. Hence, based on emotional convergence measurements, groups can be changed to get an ideal composition of the right people.…”

Section: Quantifying Human-human Interactionmentioning

confidence: 99%

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A three-component framework for empathic technologies to augment human interaction

Janssen

2012

J Multimodal User Interfaces

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Empathy can be considered one of our most important social processes. In that light, empathic technologies are the class of technologies that can augment empathy between two or more individuals. To provide a basis for such technologies, a three component framework is presented based on psychology and neuroscience, consisting of cognitive empathy, emotional convergence, and empathic responding. These three components can be situated in affective computing and social signal processing and pose different opportunities for empathic technologies. To leverage these opportunities, automated measurement possibilities for each component are identified using (combinations of) facial expressions, speech, and physiological signals. Thereafter, methodological challenges are discussed, including ground truth measurements and empathy induction. Finally, a research agenda is presented for social signal processing. This framework can help to further research on empathic technologies and ultimately bring it to fruition in meaningful innovations. In turn, this could enhance empathic behavior, thereby increasing altruism, trust, cooperation, and bonding.

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Section: Quantifying Human-human Interactionmentioning

confidence: 99%

“…Another way is to calculate slopes of specific time windows and take the absolute value of differences between the slopes of two different users [85,86]. This can be expressed as…”

Section: Emotional Convergencementioning

confidence: 99%

A three-component framework for empathic technologies to augment human interaction

Janssen

2012

J Multimodal User Interfaces

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“…To date, only a few studies [7][8][9][10] have attempted to tackle this problem using ECG recordings. For one, Henning et al [8] show that reduced mental load is associated with slower heart rate (HR) [7].…”

Section: Iintroductionmentioning

confidence: 99%

“…For one, Henning et al [8] show that reduced mental load is associated with slower heart rate (HR) [7]. For another, Lehrer et al [9] investigate performance of air-pilots, showing that it is negatively correlated with the low-frequency/high-frequency ratio (LF/HF) and with mean HR.…”

Section: Iintroductionmentioning

confidence: 99%

Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task

et al. 2017

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Abstract-We designed and conducted an experiment using a repetitive task to investigate associations between mental workload, performance, and Heart Rate Variability (HRV) features across repetitions. According to the literature, we define mental workload as the interaction between a person and a task that causes task demands to exceed the person's capacity to deliver. Mental workload was triggered by the use of a highlypaced video game repeated over time. Before engaging with the task, each subject was assessed in controlled condition (i.e., relaxing period) for a short time. Short term HRV features variations between the baseline (i.e., control situation) and each repetitive gaming session (i.e., mental task) were explored. The results show that HRV dynamics diminish with repetitions, while performance increases. Importantly, this suggests that HRV features can be well correlated with performance. Overall, this study advances the use of HRV analysis in the behavioral sciences at large, allowing the design of flexible neurophysiological lab-based experiments. Thus, it also opens the way to future autonomic behavioral neuroscience research.

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“…Based on earlier laboratory research on team control (Wegner & Zeaman, 1956) and social cybernetics (Kao & Smith, 1971, 1977Sauter & Smith, 1971), social psychophysiological compliance was examined during the parallel-linked mode of social tracking (Henning, Boucsein, & Gil, 2001). Each team member could exert dynamic control over a simulated inertial object in a task that simulated teleoperation in microgravity (Smith, Henning, & Li, 1998), and each team member received immediate visual feedback about how the system responded to these control inputs.…”

mentioning

confidence: 99%

Social-Psychophysiological Compliance as a Predictor of Future Team Performance

Henning¹,

Korbelak²

2005

An International Journal of Psychological Sciences

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Social psychophysiological compliance (SPC) was tested as a predictor of future team performance of two-person teams performing a self-paced projective tracking task under laboratory conditions. Undergraduate students (N=16 teams, aged 17 to 23 yrs) worked in parallel using separate X-Y joysticks to guide a virtual object through a complex path. One team member controlled the horizontal position of the object while the other controlled vertical. Unexpected changes in task control dynamics occurred at a randomly-selected point in the path: either horizontal and vertical (HV) control were swapped between team members, directional control was reversed, or both HV swap plus directional reversal occurred. Higher cardiac SPC (cross correlation, lag=0) scores predicted lower tracking error from path centerline (p<.01) but did not predict collision severity between object and path wall. The results indicate that SPC has some potential for assessing a team's readiness to handle unexpected task demands in the immediate future.Key words: social psychophysiological compliance, teamwork, cybernetics Psychophysiological techniques can be used for objective and continuous monitoring of the human response to computer-mediated tasks but most studies employing these techniques have focused on individuals rather than teams. Furthermore, the reported empirical relationships are largely based on correlations between psychophysiological changes and performance measures collected over the same time period. The present study represents an attempt to develop a new approach, moving from individual to social psychophysiology, and from examining simultaneous events to testing if changes in social psychophysiology can be used to predict team performance in the immediate future. This research is guided by the behavioral cybernetic model developed by K.U. Smith and associates (Smith & Smith, 1987) which assumes that: (1) human behavior is controlled as a closed-loop or cybernetic process; (2) closed-loop behavioral links are established between sensory feedback from design factors in the performance environment; and (3) that sensory feedback control is mediated by motor behavior. This theoretical perspective differs from most present-day cognitive models that classify motor behavior as an output or end product of mental processes, that has no significant role in either controlling or organizing subsequent behavior.Looking beyond the obvious role of motor behavior in feedback control of the environment, K.U. Smith's cybernetic theory highlighted the many roles of motor activity in behavior organization such as dynamic and continuous control of posture, fine

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Social–physiological compliance as a determinant of team performance

Cited by 99 publications

References 13 publications

A three-component framework for empathic technologies to augment human interaction

A three-component framework for empathic technologies to augment human interaction

Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task

Social-Psychophysiological Compliance as a Predictor of Future Team Performance

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