Participants perceive skills as transferable between the Hugo RAS and dV-trainer, with higher workload reported on the SP platform¶

Claim · All claims
Evidence · 1 study · quant-synthesis r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Half of participants rated skills as 'absolutely transferable' and half as 'somewhat transferable' between platforms; SP platform transfer drew higher SURG-TLX workload and difficulty ratings. → Liu Wai Miu Emma 2026

Evidence¶

Liu Wai Miu Emma 2026¶

Liu Wai Miu Emma, Burr Katy-Anne, Dave Charvi, Pearse Callum, Li Yang, Quarez Julien, Granados Alejandro, Challacombe Ben, Dasgupta Prokar, Raison Nicholas. (2026). Assessing effectiveness and skill transferability in multi-platform simulated training for robotic surgical skills: a systematic review. Journal of Robotic Surgery 20(1):121. https://doi.org/10.1007/s11701-025-03090-x

q2 · i? · quant-synthesis · r1

The review reports participants' opinion data collected in two included studies (Larkins et al. 2022; Ghazi et al. 2023): "Between the Hugo RAS and the dV-trainer, 50% reported that the skills were ‘absolutely transferable’". Ghazi participants gave the SP platform higher SURG-TLX and difficulty scores.

"Between the Hugo RAS and the dV-trainer, 50% reported that the skills were ‘absolutely transferable’, whilst the remaining 50% reported they were ‘somewhat transferable’"

Discussion¶

Related Claims¶

• Console design variations influence skill transferability between robotic platforms — related
• Skill transferability is demonstrated in cross-platform simulated training amongst experts and novices — related
• Intermediate-level trainees exhibit reduced performance when transferring between robotic platforms (GEARS −2.9) — related
• No significant correlation between simulator performance and self-reported mental workload (SURG-TLX) — related