student profile: Mr Chunfeng Liu


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Thesis work

Thesis title: EQClinic: a platform for learning communication skills in clinical consultations

Supervisors: Rafael CALVO , Abelardo PARDO

Thesis abstract:

Over the last 10 years, we have witnessed a dramatic improvement in affective computing i.e. emotion (Picard 2001, Calvo et.al 2015) and behavior recognition techniques (Vinciarelli et al., 2012). These techniques have progressed from the recognition of person-specific posed behavior to the more difficult person-independent recognition of behavior in ìthe-wildî (Vinciarelli et al., 2009). They are considered robust enough that they are being incorporated into new applications. For example, new learning technologies have been developed that detect a studentís emotions and use this to guide the learning experience (Calvo, DíMello, 2011). They can also be used to support reflection by generating visualizations and feedback that a learner can interpret and use to improve their skills. This approach has been used in helping students improve their written communication skills (Calvo, 2015). Similar techniques could, but have rarely been used to support the development of professional communication skills. The development of such skills is an essential part of professional development in areas such as medicine, since it is known that the quality of the clinical interviews and effective patient-doctor communication can lead to better health outcomes (Stewart, 1995). Existing research in clinical communication skill teaching mainly focuses on verbal communication (Mast et al., 2008). However, in the past three decades, nonverbal communication, which accounts for approximately 80% of essential communication between individuals (Gorawara-Bhat et al., 2007), has been attracting increasing attention from medication education community. Specific nonverbal behaviors, including facial expression and body movement, have been proven to be related to patient satisfaction (DiMatteo et al., 1980) and health outcomes (Hartzler et al., 2014). Within medical education, the performance of certain nonverbal behaviors by medical students, such as ìmaintaining adequate facial expressions, using affirmative gestures and limiting both unpurposive movements and hand gestures, had a significant positive effect on perception of interview quality during (an) Objective Structure Clinical Examination (Collins et al., 2011). Ishikawa et al. (2000) also mentioned that students who nodded when listening to simulated patientsí (SPs) talk and spoke at a similar speed and voice volume to the SPs achieved higher ratings on their performance in an OSCE. However, manually annotating the nonverbal behavior in these studies is a time consuming process and prevents them from being widely incorporated into the teaching curriculum, even though some annotation tools, such as Roter Interaction Analysis System (Roter & Larson, 2002), have been developed to ease the work of annotators. We report a new method of identifying nonverbal behaviors in clinical consultations using behavior recognition techniques in this paper. Our proposed platform, EQClinic, is an e-learning platform which allows medical students to have recorded tele-consultation with simulated patients (SPs). EQClinic was designed to 1) automatically identify medical studentsí nonverbal behaviors; 2) promote studentsí reflection around the different categories of nonverbal behavior; and 3) improve studentsí communication skill.

Selected grants

2017

  • EQ clinic - Communication skills and cultural awareness teaching using teleconferencing; Lim R, Calvo R, Burgess A, Dunn S, Lane A, Glozier N, Liu C, Rothnie I, Whereat S, Boyle F; DVC Education/Large Educational Innovation Grant.

Selected publications

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Journals

  • Liu, C., Lim, R., McCabe, K., Taylor, S., Calvo, R. (2016). A Web-Based Telehealth Training Platform Incorporating Automated Nonverbal Behavior Feedback for Teaching Communication Skills to Medical Students: A Randomized Crossover Study. Journal of Medical Internet Research, 18(9), 1-9. [More Information]
  • Liu, C., Scott, K., Lim, R., Taylor, S., Calvo, R. (2016). EQClinic: a platform for learning communication skills in clinical consultations. Medical Education Online, 21, 1-7. [More Information]
  • Liu, C., Calvo, R., Lim, R. (2016). Improving Medical Students' Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback. Frontiers in ICT, 3, 1-13. [More Information]

Conferences

  • Liu, C., Calvo, R., Lim, R., Taylor, S. (2016). EQClinic: a platform for improving medical students' clinical communication skills. 5th International Conference on Health Information Science (HIS 2016), Cham: Springer. [More Information]

2016

  • Liu, C., Lim, R., McCabe, K., Taylor, S., Calvo, R. (2016). A Web-Based Telehealth Training Platform Incorporating Automated Nonverbal Behavior Feedback for Teaching Communication Skills to Medical Students: A Randomized Crossover Study. Journal of Medical Internet Research, 18(9), 1-9. [More Information]
  • Liu, C., Calvo, R., Lim, R., Taylor, S. (2016). EQClinic: a platform for improving medical students' clinical communication skills. 5th International Conference on Health Information Science (HIS 2016), Cham: Springer. [More Information]
  • Liu, C., Scott, K., Lim, R., Taylor, S., Calvo, R. (2016). EQClinic: a platform for learning communication skills in clinical consultations. Medical Education Online, 21, 1-7. [More Information]
  • Liu, C., Calvo, R., Lim, R. (2016). Improving Medical Students' Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback. Frontiers in ICT, 3, 1-13. [More Information]

Note: This profile is for a student at the University of Sydney. Views presented here are not necessarily those of the University.