Y .P.M.J. Derk s, MSc, licensed mental health psychologist

1. SenseIT Continued: Enabling self-monitoring and feedback for Borderline patients, through a personal touch Y.P.M.J.Derks, MSc, licensed mental health psychologist University of Twente / Scelta, GGNet – Mental health care institute

2. Background information

3. Borderline PD

4. Personality disorder Source: NIH - National Institute of Mental Health

5. Regulating emotions and thoughts Source: NIH - National Institute of Mental Health

6. Impulsive and reckless behaviour Source: NIH - National Institute of Mental Health

7. Unstable relationships with other people Source: NIH - National Institute of Mental Health

8. Meet Alice

9. Meet Alice

10. 21 years

11. Intelligent but insecure

12. Impulsive reactions

13. Fearing abandonment

14. Goes to Scelta 3 days a week

15. Uses the VERS method for regulating emotions

16. Skilled with today’s technology

17. New possibilities with wearables

18. Research Question

19. How do patients perceive the use and possible benefits of a digital assistant, monitoring physiological changes while raising awareness?

20. Methodology

21. Iterative research approach

22. User-centered design framework

23. Requirements

24. UR1: The feedback of the system should feel discreet and inconspicuous in the environment. Therefore mainly feedback only noticeable by the user will be used like vibration or neutral sounds. Visser, T.

25. UR2: The user should be able to adjust the intensity and form of feedback received by the system. Therefore the application will provide different options to personalize the application Visser, T.

26. UR3 - The feedback provided to the user should be without opinion, in other words it should not contain any valuation. Therefore the feedback will consists of suggestions of assignments or only a clear indication of a shift in physiological status Visser, T.

27. DR5 - The visual complexity of the application should be kept to a minimum to prevent unwanted arousal among patients. Liqiong, D., & Poole, M. S

28. Initial product

29. Wearable device

31. Measures heart rate

32. Handheld device

34. Baseline

35. Calculates physiological state (based on the 10 last measurements)

36. Calculating physiological states • Iteration #2

37. Calculating physiological states • Average heart rate: 75 — standard deviation: 10 — sensitivity excluded • Iteration #2

39. Wearable device • Iteration #2

40. Self reporting • Iteration #2

41. Self reporting • Context to • measurement • Diary • Iteration #2

42. Iteration #2 • Results

43. Iteration #2 • Experience of feedback cues differs

44. Iteration #2 • Interfaces and easiness of system perceived well

45. Iteration #2 • Interpersonal contact preferred

46. Iteration #2 • Aware of what to share with whom

47. Iteration #2 • Most likeable smartwatch interface

48. Iteration #2 • Day 1: Adding context to measurement is useful

49. Iteration #2 • Usefulness of Adding Context to Measurements

50. Conclusion & Discussion