Towards a Mentor-Mentee Multimodal Communication Framework: An Observational Study on Communication Dynamics During Mentorship Medical Education

This article examines the situated organization of mentor-mentee interaction during teaching ultrasound-guided regional anesthesia in a clinical setting. It aims to both characterize how instructional communication unfolds under clinical constraints and inform the design of future immersive collaborative training systems. Focusing on how mentors deploy various communicative modalities to shape technical learning in real time, the study draws on observations of nine mentors, three mentees, twenty-two procedures, and 766 instances of instructional feedback during practical sessions. The analysis reveals a predominance of verbal feedback, particularly in guiding eye-hand coordination and instrument manipulation. It also identifies moments where verbal communication alone proves insufficient, and mentors resort to multimodal strategies, combining gestures, touch, and bodily repositioning to direct attention, clarify expectations, and support moment-to-moment adjustments. These modality combinations are shown to be task-dependent and strategically orchestrated rather than incidental. By articulating how mentors adapt their instructional practices to task demands, learner needs, and situational constraints, the study proposes an interactional framework for understanding technical skill transmission as a temporally sensitive, embodied, and collaborative accomplishment. These findings extend existing models of mentoring communication and provide concrete design insights for virtual reality and augmented training systems that aim to support situated, mentor-guided learning.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Computing for Healthcare
Published
2026-07-17
DOI
https://doi.org/10.1145/3831413
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards a Mentor-Mentee Multimodal Communication Framework: An Observational Study on Communication Dynamics During Mentorship Medical Education

Samir Otmane, Amine Chellali, Cassandre Simon
ACM Transactions on Computing for Healthcare
Surgical Simulation and Training
article

Towards a Mentor-Mentee Multimodal Communication Framework: An Observational Study on Communication Dynamics During Mentorship Medical Education

Samir Otmane, Amine Chellali, Cassandre Simon
article en

Abstract

This article examines the situated organization of mentor-mentee interaction during teaching ultrasound-guided regional anesthesia in a clinical setting. It aims to both characterize how instructional communication unfolds under clinical constraints and inform the design of future immersive collaborative training systems. Focusing on how mentors deploy various communicative modalities to shape technical learning in real time, the study draws on observations of nine mentors, three mentees, twenty-two procedures, and 766 instances of instructional feedback during practical sessions. The analysis reveals a predominance of verbal feedback, particularly in guiding eye-hand coordination and instrument manipulation. It also identifies moments where verbal communication alone proves insufficient, and mentors resort to multimodal strategies, combining gestures, touch, and bodily repositioning to direct attention, clarify expectations, and support moment-to-moment adjustments. These modality combinations are shown to be task-dependent and strategically orchestrated rather than incidental. By articulating how mentors adapt their instructional practices to task demands, learner needs, and situational constraints, the study proposes an interactional framework for understanding technical skill transmission as a temporally sensitive, embodied, and collaborative accomplishment. These findings extend existing models of mentoring communication and provide concrete design insights for virtual reality and augmented training systems that aim to support situated, mentor-guided learning.

ACM Transactions on Computing for Healthcare
Université Paris-Saclay (FR), Informatique, BioInformatique, Systèmes Complexes (FR)
Quality Education
Openalex Percentile: Top 6%
Surgical Simulation and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.