Enhancing assessment of in-vehicle technology attention demands with cardiac measures

Lenneman, John K.; Backs, Richard W.

doi:10.1145/1969773.1969777

Cited by 9 publications

(11 citation statements)

References 9 publications

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“…Similarly, the impact of cognitive workload on standard deviation of lane position could not be used to correctly rank order task demand. These results support the arguments by Lenneman and Backs (2010) and Mehler et al (2009) that selected physiological measures are more useful for detecting relative changes in mental workload at levels below which clear decrements in driving performance begin to be observed.…”

Section: Discussionsupporting

confidence: 87%

“…Physiological measures have been proposed as useful metrics for assessing workload in the user interface design assessment and optimization process (Lenneman & Backs, 2010;Mehler, Reimer, Coughlin & Dusek, 2009). While physiological indices have been used to measure workload for some time, particularly in the aviation literature (Wilson, 2002), until recently data on the sensitivity of such measures in the driving environment has been either limited or contradictory.…”

Section: Introductionmentioning

confidence: 99%

“…More supportive data have since been presented by Lenneman and Backs (2010) from a simulation study that monitored a range of cardiovascular measures during single task driving and dual task conditions using a relatively easy visual n-back target matching task (0-back) and a much more difficult version (3-back). They found that heart rate was significantly higher during both the 0-back and the 3-back conditions than during single task driving.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Cognitive Workload on Physiological Arousal and Performance in Younger and Older Drivers

Son

Mehler

Lee

et al. 2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary:Two groups, aged 25-35 and 60-69, engaged in 3 levels of a delayed auditory recall task while driving a simulated highway. Heart rate and skin conductance increased with each level of demand, demonstrating that these indices can correctly rank order cognitive workload. Effects were also observed on speed and SD of lane position, but they were subtle, nonlinear, and did not effectively differentiate. Patterns were quite consistent across age groups. These findings on the sensitivity of physiological measures replicate those from an onroad study using a similar protocol. Together, the results support the validity of using these physiological measures of workload in a simulated environment to model differences likely to be present under actual driving conditions.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Cognitive Workload on Physiological Arousal and Performance in Younger and Older Drivers

Son

Mehler

Lee

et al. 2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

View full text Add to dashboard Cite

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“…Those HRV measures that did show a statistically significant difference, had lower effect sizes and observed power than basic heart rate and SCL. These are relevent considerations since the capacity to detect subtle changes in workload is essential if physiological measures are to prove useful in assessing in-vehicle HMI and other demands (Lenneman & Backs, 2010;Mehler et al 2009). …”

Section: Discussionmentioning

confidence: 99%

A Comparison of Heart Rate and Heart Rate Variability Indices in Distinguishing Single-Task Driving and Driving Under Secondary Cognitive Workload

Mehler

Wang

2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary: Heart rate and heart rate variability (HRV) measures collected under actual highway driving from 25 young adults were compared to assess the relative sensitivity of each for distinguishing between a period of single task driving and periods of low and high additional cognitive workload. Basic heart rate, skin conductance and most, but not all, of the HRV indices were significantly different between single task driving and the high secondary demand period. Heart rate and skin conductance were also robust at distinguishing between single task driving and the low added demand period; however, several HRV measures did not show statistically significant differences between these two periods and the remaining HRV measures that did were less robust than basic heart rate as assessed by effect size and observed power. Rather than attempting to argue for the inherent superiority of any one physiological measure, these findings are presented with the intent of encouraging a broader discussion around the conditions under which particular physiological measures may be most useful and/or complementary for detecting different aspects of workload and operator state.

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“…Real-time detection of an operator's workload might be used to provide feedback that attempts to help the driver self-manage the demands of operating the vehicle and associated secondary demands, thereby optimising workload and enhancing automotive safety (Coughlin et al 2011). In addition, sensitive and continuous measures of workload may be useful in the design and assessment of user interfaces (Mehler et al 2009, Lenneman andBacks 2010).…”

Section: Workload and Physiological Reactivitymentioning

confidence: 99%

The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation

Reimer

2011

Ergonomics

157

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Physiological measures provide a continuous and relatively non-invasive method of characterising workload. The extent to which such measures provide sensitivity beyond that provided by driving performance metrics is more open to question. Heart rate and skin conductance were monitored during actual highway driving in response to systematically increased levels of cognitive demand using an auditory delayed digit recall task. The protocol was consistent with an earlier simulator study, providing an opportunity to assess the validity of physiological measures recorded during driving simulation. The pattern of change in heart rate with increased cognitive demand was highly consistent between field and simulator. The findings meet statistical criteria for both relative and absolute validity, although there was a trend for absolute levels to be higher under actual driving conditions. For skin conductance level, the pattern in both environments was also quite similar and a reasonable case for overall relative validity can be made. STATEMENT OF RELEVANCE: Growing complexity and multiple demands on modern drivers' attention highlight the significance of determining whether physiological measures provide increased sensitivity in workload detection. Better understanding, including whether simulator assessments provide valid measures of real-world response patterns, has implications in evaluating and refining interface designs and for developing advanced workload managers.

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Enhancing assessment of in-vehicle technology attention demands with cardiac measures

Cited by 9 publications

References 9 publications

Impact of Cognitive Workload on Physiological Arousal and Performance in Younger and Older Drivers

Impact of Cognitive Workload on Physiological Arousal and Performance in Younger and Older Drivers

A Comparison of Heart Rate and Heart Rate Variability Indices in Distinguishing Single-Task Driving and Driving Under Secondary Cognitive Workload

The impact of cognitive workload on physiological arousal in young adult drivers: a field study and simulation validation

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