Monitoring Interactions in Therapeutic Relationships

By Kirielle Singarajah
Slide 1: Title slide for monitoring interactions in therapeutic relationships presentation

Slide-1

Monitoring Interactions in Therapeutic Relationships

Presented by Kirielle Singarajah

Slide 2: About Kirielle Singarajah background information

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Kirielle Singarajah

Slide 3: Mental health statistics showing 1 in 4 adults suffer from diagnosable mental illness

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1 in 4 adults in the US suffer from a diagnosable mental illness

1 in 2 individuals do not return for a follow up session

1 in 4 of those individuals seek out therapy as a form of treatment

Slide 4: Data analysis methodology showing visualizations, CRQA, and automation approaches

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Data Analysis of the Therapist-Client Relationship

Visualizations to unveil, clarify and highlight patterns

Cross-recurrence quantitative analysis (CRQA) to explore and mathematically assess recurrences within the therapist-client system

Automation to wrangle (process) data, generate visualizations, and run analytical processes

Slide 5: Visualization 1 showing coupled temporal analysis

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Visualization 1: Coupled Temporal

Two horizontal bar graphs side-by-side, titled "Visualization 1: Coupled Temporal". The left graph is labeled "005A Full" and the right graph is labeled "Carlson 02 Full". Both graphs show two horizontal rows of colored circles, one labeled "Client" and one labeled "Therapist", plotted against a "Time" axis. A legend to the right of the graphs lists various colored labels, including "Attentive Response", "Enthusiastic Response", "High Level Comment", and others.

Slide 6: Second view of coupled temporal visualization

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Visualization 1: Coupled Temporal (continued)

Two horizontal bar graphs side-by-side, titled "Visualization 1: Coupled Temporal". Both graphs are labeled "005A" but with different subtitles: "1 of 5" on the left and "5 of 5" on the right. Both graphs show two horizontal rows of colored circles, one labeled "Client" and one labeled "Therapist", plotted against a "Time" axis. A legend to the right lists various colored labels, including "Attentive Response", "Interrupt Away Response", "Low Energy Response", and "Neutral". The legend for the graph on the right is a shorter version of the legend for the graph on the left.

Slide 7: Visualization 2 showing overlaid SPAFF and who is talking analysis

Slide-7

Visualization 2: Overlaid SPAFF + Who Is Talking?

A bar graph titled "Visualization 2: Overlaid SPAFF + Who Is Talking?". The x-axis is "Time" and the y-axis is "SPAFF". The graph shows vertical colored bars overlaid with two line graphs, one blue and one red. A legend indicates that orange bars represent "Both Speaking", green represents "Client Speaking", light blue represents "No one speaking", and pink represents "Therapist Speaking". The blue line graph is labeled "Client SPAFF" and the red line graph is labeled "Therapist SPAFF".

Slide 8: CRQA cross-recurrence plots analysis

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CRQA: Cross-Recurrence Plots

Two scatter plots side-by-side, titled "CRQA: Cross-Recurrence Plots". The plot on the left is labeled "070A Full SPAFF" and the plot on the right is labeled "005A Full SPAFF". Both plots show a grid with small blue dots. The x-axis for both plots is "Time (Therapist)" and the y-axis for both is "Time (Client)". The pattern of dots is different between the two plots.

Slide 9: Challenges faced in the research

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Challenges

Slide 10: Moving forward with breadth and depth improvements

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Moving Forward

Breadth

  • More datasets
  • More variability
    • Other master therapists
    • Unique cases
  • Categorical datasets

Depth

  • Machine learning to automate coding of session
  • Explore CRQA
    • Other programs
    • Tune or create programs specialized for our data
Slide 11: Thank you slide concluding the presentation

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Thank you!

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For a downloadable version of this presentation, email: I-SENSE@FAU.

Additional Information
The Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) was established in early 2015 to coordinate university-wide activities in the Sensing and Smart Systems pillar of FAU’s Strategic Plan for the Race to Excellence.
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