Towards personalised neurorehabilitation: Professional perspectives on technology-driven adaptation to emotional and physical states in the design of new therapies

Recovery from a stroke or a serious brain injury is a journey that demands more than just moving a limb; it requires the patient to be fully present, willing, and engaged. For decades, rehabilitation has relied on the steady, intuitive hands of a therapist who can read a patient's face, hear the tone of their voice, and sense when frustration is building up or when a spark of motivation has ignited. This human connection is the engine of healing, yet it is also a resource that is often stretched thin. In recent years, engineers have introduced robotic machines to help therapists guide patients through thousands of repetitive movements, aiming to rebuild strength and coordination. However, these machines have largely been blind to the emotional world of the person using them. They can measure how far a leg moves or how much force a hand exerts, but they cannot tell if a patient is terrified, bored, or on the verge of giving up. This gap between mechanical precision and human feeling has kept many of these advanced tools from becoming a standard part of everyday care.

A team of researchers from Spain and the United Kingdom set out to bridge this divide by asking a simple but profound question: what do the people who actually run rehabilitation clinics need from a robot? They did not start by building a new machine or writing complex code. Instead, they sat down with twenty-five clinical professionals—physiotherapists, occupational therapists, and doctors—from nine different medical centers. These experts, who work daily with patients navigating the difficult path of recovery, shared their experiences, their fears, and their hopes for the future of therapy. The researchers listened closely, recording every word and then sorting through the conversations to find the patterns that emerged. Their goal was to understand how these professionals currently detect a patient's emotional state and to define what a new generation of robots would need to do to support, rather than replace, that human intuition.

The study revealed that the most critical factor in a patient's recovery is not just the physical exercise itself, but their motivation. The clinicians described a complex emotional landscape where fear, frustration, and sadness often stand in the way of progress, just as much as a weak muscle does. When a patient feels overwhelmed or discouraged, their body often stops cooperating, no matter how strong the robot's arm might be. Conversely, when a patient feels a sense of accomplishment or hope, they push harder and recover faster. The professionals explained that they constantly adjust the difficulty of a task based on these emotional cues. If a patient looks tired or anxious, a therapist might slow down the pace or simplify the movement. If a patient is eager and confident, the therapist might increase the challenge to keep them engaged. The researchers found that current robots, which typically rely only on data like speed or joint angles, miss these vital signals entirely. They operate on a fixed plan, unable to sense that a patient is struggling emotionally and needs a different approach.

To fix this, the clinicians outlined a clear vision for what an emotionally aware robot should look like. They emphasized that the machine must be able to "see" and "hear" the patient in the same way a human therapist does. This means the robot should be equipped to watch the patient's face for signs of strain or disinterest, listen to their voice to detect changes in tone or hesitation, and observe their posture. The experts noted that while heart rate and breathing are useful, the most immediate and reliable indicators of a patient's state are often these visible and audible signs. A robot that can interpret a furrowed brow or a sudden silence would be able to adjust its assistance in real time, perhaps lowering the resistance or offering a word of encouragement before the patient becomes too frustrated to continue. The researchers also found that the professionals did not want the robot to take over completely. Instead, they wanted a tool that acts as a partner, providing the therapist with a clear picture of what is happening inside the patient's mind and body, so the human expert can make the final decisions.

The study also highlighted the importance of making therapy feel real and relevant. Clinicians stressed that patients recover best when they are practicing movements that mimic their daily lives, such as reaching for a cup or stepping onto a curb, rather than performing abstract, repetitive motions in a vacuum. They suggested that future robots should work alongside technologies like virtual reality to create immersive environments where patients can practice these real-world skills safely. Furthermore, the experts pointed out that recovery does not stop when a patient leaves the clinic. They expressed a strong desire for systems that could track a patient's activity at home, allowing them to continue their progress outside the hospital walls. However, they also warned that such monitoring must be handled with care, as some patients might feel uncomfortable with the idea of being constantly watched. The balance lies in creating a system that feels supportive and helpful, rather than intrusive.

Ultimately, the research suggests that the future of neurorehabilitation lies in a partnership between human wisdom and machine capability. The clinicians were clear that technology should never replace the human touch, which remains the most powerful force in healing. Instead, robots should be designed to extend the therapist's senses, giving them the ability to understand a patient's emotional state as deeply as they understand their physical movements. By building machines that can adapt to fear, frustration, and excitement, and by ensuring these tools are grounded in the real needs of patients and therapists, the field can move toward a new era of personalized care. The path forward is not about creating robots that think like humans, but about creating tools that help humans heal more effectively, one emotional and physical adjustment at a time.