A Fundamental Cognitive Taxonomy for Cognition Aids

Training flexible spatial-cognitive estimation strategies using augmented reality

We investigated the potential for augmented reality (AR) as a training aid for spatial estimation skills. Though there are many tools to support spatial judgments, from measuring cups to rulers, not much is known about training spatial skills for retention and transfer. Display of AR was manipulated to train the spatial skill of portion estimation. In Experiment 1, an AR-aided strategy of creating smaller portions out of a larger example amount was compared to a no-AR control condition. This manipulation was based on previous non-AR experiments where amorphous foods were better estimated when divided into smaller portions. There was a significant benefit of estimating using a solid AR shape. In Experiment 2, cognitive anchoring was manipulated. Using meaningful AR anchors resulted in the best performance and most learning. We conclude that spatial estimation skills can be combined with mental strategies and trained via AR.

Guiding Attention via a Cognitive Aid During a Simulated In-Hospital Cardiac Arrest Scenario: A Salience Effort Expectancy Value Model Analysis

OBJECTIVE

To investigate the effect of a cognitive aid on the visual attention distribution of the operator using the Salience Effort Expectancy Value (SEEV) model.

BACKGROUND

Cognitive aids aim to support an operator during the execution of a task. The effect of cognitive aids on performance is frequently evaluated but whether a cognitive aid improved, for example, attention distribution has not been considered.

METHOD

We built the Expectancy Value (EV) model version which can be considered to indicate optimal attention distribution for a given event. We analyzed the eye tracking data of emergency physicians while using a cognitive aid application versus no application during a simulated in-hospital cardiac arrest scenario.

RESULTS

The EV model could fit the attention distribution in such a simulated emergency situation. Partially supporting our hypothesis, the cognitive aid application group showed a significantly better EV model fit than the no application group in the first phases of the event, but a worse fit in the last phase.

CONCLUSION

We demonstrated that a cognitive aid affected attention distribution and that the SEEV model provides the means of capturing these effects. We suggest that the aid supported and improved visual attention distribution in the stressful first phases of a cardiopulmonary resuscitation but may have focused attention on objects that are relevant for lower priority goals in the last phase.

APPLICATION

The SEEV model can provide insights into expected and unexpected effects of cognitive aids on visual attention distribution and may help to design better artifacts.

Electronic field protocols for prehospital care quality improvement in Lithuania: a randomized simulation-based study

BACKGROUND

Prehospital emergency care is complex and influenced by various factors, leading to the need for decision-support tools. Studies suggest that cognitive aids improve provider performance and patient outcomes in clinical emergencies. Electronic cognitive aids have rarely been investigated in prehospital care. Therefore, this study aimed to evaluate the effects of the electronic field protocol (eFP) module on performance, adherence to the standard of care, and satisfaction of prehospital care providers in a simulated environment.

METHODS

This randomised simulation-based study was conducted at the Lithuanian University of Health Sciences in Kaunas, Lithuania. The simulation scenarios were developed to test 12 eFPs: adult resuscitation, pediatric resuscitation, delivery and postpartum care, seizures in pregnancy, stroke, anaphylaxis, acute chest pain, acute abdominal pain, respiratory distress in children, severe trauma, severe infection and sepsis, and initial neonatal evaluation and resuscitation. Sixteen prehospital practitioners with at least 3 years of clinical experience were randomly assigned to either use the eFP module or perform without it in each of the 12 simulated scenarios. Participant scores and adherence to standardised checklists were compared between the two performance modes. Participant satisfaction was measured through a post-simulation survey.

RESULTS

A total of 190 simulation sessions were conducted. Compared to the use of memory alone, the use of the eFP module significantly improved participants' performance in 10 out of the 12 simulation scenarios. Adherence to the standardised checklist increased from 60 to 85% (p < 0.001). Post-simulation survey results indicate that participants found the eFP module easy to use and relevant to prehospital clinical practice.

CONCLUSIONS

The study findings suggest that the eFP module as a cognitive aid can enhance prehospital practitioners' performance and adherence to the standard of care in simulated scenarios. These results highlight the potential of standardised eFPs as a quality improvement step in prehospital care in Lithuania.

The use of a cognitive aid app supports guideline-conforming cardiopulmonary resuscitations: A randomized study in a high-fidelity simulation

Aim

Cardiac arrests require fast, well-timed, and well-coordinated interventions delivered by several staff members. We evaluated a cognitive aid that works as an attentional aid to support specifically the timing and coordination of these interventions. We report the results of an experimental, simulation-based evaluation of the tablet-based cognitive aid in performing guideline-conforming cardiopulmonary resuscitation.

Methods

In a parallel group design, emergency teams (one qualified emergency physician as team leader and one qualified nurse) were randomly assigned to the cognitive aid application (CA App) group or the no application (No App) group and then participated in a simulated scenario of a cardiac arrest. The primary outcome was a cardiopulmonary resuscitation performance score ranging from zero to two for each team based on the videotaped scenarios in relation to twelve performance variables derived from the European Resuscitation Guidelines. As a secondary outcome, we measured the participants’ subjective workload.

Results

A total of 67 teams participated. The CA App group (n = 32 teams) showed significantly better cardiopulmonary resuscitation performance than the No App group (n = 31 teams; mean difference = 0.23, 95 %CI = 0.08 to 0.38, p = 0.002, d = 0.83). The CA App group team leaders indicated significantly less mental and physical demand and less effort to achieve their performance compared to the No App group team leaders.

Conclusions

Among well-trained in-hospital emergency teams, the cognitive aid could improve cardiopulmonary resuscitation coordination performance and decrease mental workload.