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Alignment Under Pressure: AR-HMD Support Tools for Action Teams

Through an 11-month qualitative study with healthcare professionals, this research identifies critical coordination challenges in high-pressure action teams and proposes Augmented Reality Head-Mounted Displays (AR-HMDs) as a solution to facilitate "team alignment," leading to the development of the Team Alignment and Coordination Taxonomy (TACT) to shift design focus from individual decision support to holistic team-level interventions.

Original authors: Jonathan Isaac Segal (Cornell University), Jalynn Blu Nicoly (Colorado State University), Huajie Cao (Michigan State University), Soyon Kim (UC San Diego), Tauhid Tanjim (Cornell University), Jonathan
Published 2026-09-07
📖 7 min read🧠 Deep dive

Original authors: Jonathan Isaac Segal (Cornell University), Jalynn Blu Nicoly (Colorado State University), Huajie Cao (Michigan State University), Soyon Kim (UC San Diego), Tauhid Tanjim (Cornell University), Jonathan St. George (Weill Cornell), Kevin Ching (Weill Cornell Medicine), Francisco Raul Ortega (Colorado State University), Hee Rin Lee (Michigan State University), Angelique Taylor (Cornell Tech)

Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

In the high-stakes world of emergency medicine, the difference between a successful rescue and a tragic outcome often hinges on how well a team of strangers works together. These are not static groups with fixed roles; they are action teams, fluid collections of doctors, nurses, and specialists who must coordinate complex tasks under intense time pressure and uncertainty. For these groups to function, they rely on a shared understanding of the situation: who is doing what, what the patient's condition is, and where the procedure stands at any given second. This shared understanding, often called shared cognition, is fragile. It depends on constant verbal updates and the ability to read the room, but in a chaotic emergency room, information can be delayed, missed, or misunderstood. When the team loses this common ground, the result is often a breakdown in coordination that puts the patient at risk.

Researchers have long sought ways to support these teams, but most existing tools, like checklists or computer alerts, focus on helping a single person make a decision rather than helping the whole group stay in sync. A new study published in 2026 by a team of researchers from institutions including Cornell University and Colorado State University explores a different path. They investigated whether augmented reality head-mounted displays—glasses that can project digital information directly into a person's field of vision—could help keep these action teams aligned. The study did not test a finished product or a working machine. Instead, it brought together ten experienced healthcare professionals to imagine how such technology might work in their most critical moments. Through a series of interviews and collaborative sketching sessions, the researchers mapped out exactly where communication fails and how a new kind of digital support could fix it without getting in the way.

The study began by asking these ten professionals to describe the moments when their teams stumbled. The participants, who included emergency physicians, nurses, and administrators with years of experience in both teaching and non-teaching hospitals, shared stories of chaos that often stemmed from simple gaps in information. One common scenario involved a new team member arriving at a patient's bedside without knowing what had already happened. They might walk into a room where a resuscitation was already underway, unaware of the medications given or the steps already taken. This lack of context forced them to stop and ask questions, delaying critical care. Another frequent issue arose when a team member was assigned a task outside their usual expertise, or when a team leader became so focused on helping with a specific procedure that they lost sight of the bigger picture. In these high-pressure environments, the team's shared mental model of the situation could fracture, leading to confusion and potential errors.

To understand how technology might help, the researchers did not simply ask the participants what features they wanted. Instead, they used a method called co-design, where the researchers and the healthcare workers drew storyboards together in real time. These sketches depicted specific emergency scenarios, such as a cardiac arrest or a complex trauma case, and explored how information could be shared differently if everyone wore these special glasses. The goal was to see how the technology could support the team's need for alignment without adding to their cognitive load or distracting them from the patient. The participants were not experts in this technology; on a scale of one to five, their familiarity with such devices averaged just 2.4. Yet, by walking through these imagined scenarios, they revealed a clear set of needs that existing tools were not meeting.

The analysis of these conversations led to the creation of a new framework called the Team Alignment and Coordination Taxonomy, or TACT. This framework identifies four distinct ways that teams must stay aligned to function effectively. The first is information alignment, which is about ensuring everyone has the correct, up-to-date facts about the patient. The second is expertise alignment, which involves making sure that the right person is doing the right task, or that someone with less experience gets the guidance they need to perform a difficult procedure safely. The third is procedural alignment, which means the team shares a clear picture of where the procedure is in its timeline, such as knowing exactly when the next dose of medication is due or when a cycle of chest compressions should end. The final dimension is cognitive alignment, which refers to the ability of team members to verify critical information and make sound judgments without second-guessing each other or losing their authority.

The study found that these four dimensions are deeply interconnected. A failure in one area often causes a collapse in the others. For instance, if a new team member lacks information about what has already happened, they cannot align their expertise with the team's needs, which in turn disrupts the procedural flow and forces the team leader to pause and explain, breaking their own focus on the overall situation. The researchers discovered that the most promising role for augmented reality glasses was not to act as an autonomous boss that tells the team what to do, but to serve as a subtle, hands-free layer of support that bridges these gaps. The participants imagined a system that could provide a quick summary of the patient's status to a doctor as they walked into the room, or display a visual cue to a nurse confirming that a medication had been administered, so the whole team could see that the task was complete without needing to shout it out.

However, the participants were also very clear about the limits of what this technology should do. They emphasized that the glasses must never interfere with their ability to see the patient, hear the team, or move freely. In one account, a physician described a past experience with early versions of smart glasses that made them feel disoriented and unable to hear the team leader's voice clearly. This highlighted a crucial design constraint: the information displayed must be sparse, glanceable, and easy to dismiss. It should not clutter the view or compete with the natural flow of conversation. Furthermore, the participants insisted that the technology must never override human judgment. The glasses could suggest a dosage or remind a team of a step, but the final decision must always rest with the clinician. The system should support the team's authority, not replace it.

The researchers concluded that the value of such a system lies in its ability to maintain what they call "coordinated differentiation." This means that while different team members need different levels of detail—a team leader might need a full timeline of events while a nurse might only need to know the next immediate step—their views must still share enough common ground to keep the team moving in the same direction. The study suggests that future designs should focus on creating these differentiated views that update in real time, ensuring that as the situation changes, the team's understanding of it changes with it. The findings do not prove that augmented reality glasses will solve all coordination problems, nor do they guarantee that such a system will be easy to build or adopt. Instead, the study provides a detailed map of the specific human needs that any such technology must address to be useful.

By shifting the focus from individual decision-making to the active maintenance of team alignment, this research offers a new way to think about technology in healthcare. It moves beyond the idea of a digital checklist and toward a system that helps a group of people stay connected in the most difficult moments. The study suggests that if designed with these specific human needs in mind—preserving situational awareness, supporting expertise without replacing it, and keeping the team's shared mental model intact—augmented reality could become a vital tool for keeping action teams aligned under pressure. The work does not offer a magic solution, but it does offer a clear path forward for designing tools that respect the complexity of human teamwork in the emergency room.

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