| Project Supervisor | Joshua Brown, Daniel Campioni-Norman (Simpedia) and HCA Healthcare |
| Institution & Department | Imperial College London – Department of Surgery and Cancer |
| Research Area | RA3: Language, Culture and Education |
| Project Start Date | Early July or December is preferable, but the Start Date is flexible and can be discussed. |
| Project Duration | 3 months |
| Application Deadline | 4th June 2026 |
| Working Pattern | Full-time (5 days per week over 3 months) |
| Working Arrangements | Hybrid |
| Studies and meetings to be held in-person. Day to day working arrangements can be agreed between the RA and supervisor to account for available shared office space and individual preferences. Some activities (particularly experimental) may take place on Imperial College hospital sites and/or at Queen Mary University of London | |
| How to Apply | View Guidance Here |
Project Description
Click to View More
Medical education has historically relied heavily on the traditional apprenticeship model of ‘see one, do one, teach one’ – the transition from observation to active engagement. However, as technical challenges have grown ever more sophisticated and patient tolerance for error has decreased, junior doctors face reduced training time in clinic. This has driven a transition towards simulation-based teaching methods. Instructional videos (Dong & Goh, 2015), interactive tablet and computer apps (Kowalewski et al., 2017), and even mental rehearsal (Arora et al., 2011) are widely used and well-documented tools. Yet, these cognitive exercises are overwhelmingly dominated by visual imagery. Medical students memorise the steps involved in a procedure, mentally rehearse the trajectory of an instrument, or learn to recognise the visual appearance of an anatomical structure. The lack of tactile information in these tools is striking. The physical sensation of touch is an essential component of surgical skill, necessary for assessing tissue compliance and making precise movements.
Despite its importance, the sensation of touch is notoriously difficult to articulate (Buono et al., 2025). We lack a clear understanding of how experts build and maintain cognitive representations (mental models) of these physical sensations. While visual learning benefits from shared objective reference points, haptic experiences are inherently subjective, deeply embedded as tacit knowledge, and rarely communicated systematically in surgical curricula. This project, situated at the dynamic intersection of psychology, educational research, medicine, and haptics, seeks to address this gap by investigating the cognitive storage and communication of touch as relevant to medicine.
Our primary aim is to systematically investigate how elite, experienced surgeons conceptualise and communicate their mental models of touch during specific medical procedures. To achieve this, the project will employ robust qualitative methodologies, specifically conducting in-depth, cognitive-elicitation interviews with expert practitioners, followed by rigorous thematic analysis. By formalising this tacit knowledge through these qualitative psychological approaches we intend to map these internal haptic representations. By understanding how experts understand the sense of touch, we can build a ‘haptic lexicon’ to better communicate these complex sensory expectations to medical students and surgical trainees.
To evaluate the efficacy of this cognitive framework, the internship will culminate in a comparative pilot study using an established simulation platform. The student will adapt a standard visual training modul – such as an interactive Touch Surgery routine or a clinical skills video modelled on widely used resources like Geeky Medics – into two distinct training conditions. The first condition will augment the visual module purely through cognitive instruction, integrating our newly developed ‘haptic lexicon’ to guide the trainee’s mental rehearsal of the physical sensations. The second condition will serve as a tactile benchmark, pairing the same visual module with actual physical haptic feedback, delivered via synthetic tissue models or a controllable robotic tactile display. By comparing trainees’ subsequent performance, knowledge transfer and skill acquisition across these two groups, we aim to establish how effectively a linguistically communicated mental model can approximate the learning benefits of direct physical simulation.
The anticipated contributions of this research span both theoretical and applied domains. For the academic team in experimental psychology, this project offers a novel pathway to study embodied cognition, cross-modal mental imagery, and the interpersonal communication of sensory mental models, with high impact potential. For the medical haptics and robotics team, it offers a framework for aligning subjective human cognitive models with digital simulation tools being developed for use in medical training. Ultimately, this interdisciplinary endeavour promises to advance our fundamental understanding of how the human brain processes, stores, and shares the sensation of touch with the long-term aim of enhancing human health.
References
Arora, S., Aggarwal, R., Sirimanna, P., Moran, A., Grantcharov, T., Kneebone, R., Sevdalis, N., & Darzi, A. (2011). Mental Practice Enhances Surgical Technical Skills. Annals of Surgery, 253(2), 265–270. https://doi.org/10.1097/SLA.0b013e318207a789
Buono, R. A., Nygren, M., & Bianchi-Berthouze, N. (2025). Touch, communication and affect: a systematic review on the use of touch in healthcare professions. Systematic Reviews, 14(1), 42. https://doi.org/10.1186/s13643-025-02769-4
Dong, C., & Goh, P. S. (2015). Twelve tips for the effective use of videos in medical education. Medical Teacher, 37(2), 140–145. https://doi.org/10.3109/0142159X.2014.943709
Kowalewski, K.-F., Hendrie, J. D., Schmidt, M. W., Proctor, T., Paul, S., Garrow, C. R., Kenngott, H. G., Müller-Stich, B. P., & Nickel, F. (2017). Validation of the mobile serious game application Touch SurgeryTM for cognitive training and assessment of laparoscopic cholecystectomy. Surgical Endoscopy, 31(10), 4058–4066. https://doi.org/10.1007/s00464-017-5452-x
Internship Details
The internship offers a highly interdisciplinary working environment. The student will be based in SUrgical Perception, Engineering and Robotics (SUPER) Lab within the Hamlyn Centre for Robotic Surgery at Imperial College London. They will also have significant engagement with the Prepared Minds Lab at Queen Mary University of London (School of Biological and Behavioural Sciences). Visits to Hospitals are also very likely to be needed for interviews with clinical experts and meetings with the clinical co-supervisor.
The student is expected to be proactive and comfortable navigating between qualitative, human-centred cognitive research and rigorous technology evaluation. Regular lab meetings and cross-disciplinary discussions with a broad technical-clinical research team focused on translating human mental models into machine parameters will form an enriching part of the working culture.
Internship Structure
Over the 12-week internship, the student will plan and conduct a mixed-methods study to examine how touch is understood and can be communicated in medical contexts:
- Weeks 1–3: Prepare study design and submit ethics application. Conduct semi-structured, cognitive elicitation interviews with 5-8 expert doctors. The focus will be on understanding how they internally represent the physical sensations of a specific physical examination task and the language they use to externalise those models.
- Weeks 4–6: Perform a thematic and cognitive analysis of interview transcripts to map the ‘haptic mental models’ and extract a consistent ‘haptic vocabulary’. Work with the robotics team to translate these cognitive descriptions into programmable parameters on a haptic device, ensuring the physical output matches the expert mental model.
- Weeks 7–10: Recruit a pilot cohort of medical students (novices). Administer the training intervention, comparing a control group (standard visual learning via videos/interactive apps or mental rehearsal) against an experimental group (with the same training tool guided by the newly developed expert haptic models). Evaluate both groups on the haptic simulator, recording qualitative feedback on their sensory expectations alongside quantitative metrics (completion time, errors, applied force).
- Weeks 11–12: Analyse the behavioural, qualitative, and kinematic data to assess if the communication of the mental model successfully transferred the knowledge. Synthesise findings into a final project report.
By the end of the internship, the student will have a documented map of expert haptic mental models relevant to medicine and surgery, a preliminary ‘haptic lexicon’ for communication, a draft of a possible qualitative publication, and an empirical dataset evaluating the transfer of this cognitive framework to novices.
Anticipated Benefits for the Student
Through this internship, the student will develop the following doctoral-level research and transferable skills:
- Eliciting and mapping domain-specific knowledge using cognitive psychology techniques, incl. techniques designed to elicit and map tacit, sensorimotor knowledge.
- Conducting rigorous thematic analysis of qualitative interview transcripts
- Designing cross-modal psychophysical experiments
- Performing statistical analysis on both cognitive surveys and kinematic data
- Collaborating across disciplines to translate psychological concepts into robotics engineering parameters
- Managing an agile research project within a strict 12-week timeframe
- Navigating interdisciplinary research ethics applications
Skills, Experience and Knowledge Requirements
Essential Requirements:
- A strong foundation in experiment design
- Experience with qualitative interviewing techniques
- Proficiency in quantitative data analysis
- Excellent communication skills for eliciting complex cognitive representations from domain experts
Desirable Requirements:
- Prior experience researching embodied cognition, mental imagery, or sensory perception
- An active interest in (medical) education
Note that technical skills (design, programming, prototyping) are not needed for this opportunity.
