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Head-tracking as an interface device for image control in digital pathology: a comparative study.

Eduardo Alcaraz-Mateos1, Iva Turic2, Andrés Nieto-Olivares1

  • 1Servicio de Anatomía Patológica. Hospital Universitario Morales Meseguer, Murcia, España. Av. Marqués de los Vélez s/n, 30008, Murcia, España.

Revista Espanola De Patologia : Publicacion Oficial De La Sociedad Espanola De Anatomia Patologica Y De La Sociedad Espanola De Citologia
|October 5, 2020
PubMed
Summary

Head-tracking systems offer a hands-free alternative for digital pathology, with eViacam showing the best performance in controlling whole slide images (WSI) and user satisfaction.

Keywords:
Digital PathologyDispositivo de entradaErgonomicsErgonomíaInput DeviceInterfaz natural de usuarioMouseNatural User InterfacePatología digitalRatón

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Area of Science:

  • Digital pathology
  • Human-computer interaction
  • Medical imaging

Background:

  • Conventional mouse use is suboptimal for digital pathology workflows.
  • Evaluating alternative natural user interfaces (NUIs) is crucial for efficient whole slide image (WSI) control.

Purpose of the Study:

  • To assess webcam-based head-tracking systems as NUIs for controlling WSI.
  • To compare the performance and user experience of three head-tracking systems.

Main Methods:

  • Four pathologists evaluated three systems: Enable Viacam (eViacam), Nouse, and Camera Mouse.
  • Diagnosis time, NASA-TLX workload scores, and user satisfaction surveys were collected for 20 WSI dermatopathological cases.

Main Results:

  • Diagnosis times were 57s (Camera Mouse), 59s (eViacam), and 68s (Nouse) per case.
  • NASA-TLX workload scores were 42.1 (eViacam), 53.3 (Nouse), and 60.62 (Camera Mouse).
  • Pathologist satisfaction scores were 3.4 (eViacam), 3 (Nouse), and 2 (Camera Mouse).

Conclusions:

  • Head-tracking systems provide a viable hands-free input method for digital pathology using webcams.
  • eViacam demonstrated the most favorable performance and user satisfaction among the evaluated systems.
  • Further research is needed to identify the ideal NUI for digital pathology, integrating software advancements.