TY - GEN
T1 - Can changes in heart rate variability represented in sound be identified by non-medical experts?
AU - Bahameish, Mariam
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/5/2
Y1 - 2019/5/2
N2 - Heart rate variability (HRV) has become a wide-spread area for the investigation of the health and stress states of individuals. This paper aims at exploring the effectiveness of representing HRV measures with alternative modalities, other than visual displays, such as audio or haptics. Therefore, we undertook a preliminary study in which we applied a parameter mapping sonification approach to transform the HRV signal into an audible form. In this work, we sought to evaluate the human perception of the developed auditory interface. Hence, a dataset that involves interbeat interval measurements of individuals experiencing changes in mental state in the form of meditation was selected as the basis of the study. The HRV parameters of the dataset were mapped to acoustic features using a linear mapping technique. The feasibility of the system was assessed by measuring the learnability, performance, latency, and confidence aspects. The results suggest a great potential of incorporating auditory displays in the analysis of HRV. Participants were able to distinguish the different meditation states and types with minimal training time. However, further studies should be conducted on a larger population to provide verification of the findings of this preliminary study.
AB - Heart rate variability (HRV) has become a wide-spread area for the investigation of the health and stress states of individuals. This paper aims at exploring the effectiveness of representing HRV measures with alternative modalities, other than visual displays, such as audio or haptics. Therefore, we undertook a preliminary study in which we applied a parameter mapping sonification approach to transform the HRV signal into an audible form. In this work, we sought to evaluate the human perception of the developed auditory interface. Hence, a dataset that involves interbeat interval measurements of individuals experiencing changes in mental state in the form of meditation was selected as the basis of the study. The HRV parameters of the dataset were mapped to acoustic features using a linear mapping technique. The feasibility of the system was assessed by measuring the learnability, performance, latency, and confidence aspects. The results suggest a great potential of incorporating auditory displays in the analysis of HRV. Participants were able to distinguish the different meditation states and types with minimal training time. However, further studies should be conducted on a larger population to provide verification of the findings of this preliminary study.
KW - Auditory display
KW - Heart rate variability
KW - HRV
KW - Parameter mapping
KW - Sonification
UR - http://www.scopus.com/inward/record.url?scp=85067313308&partnerID=8YFLogxK
U2 - 10.1145/3290607.3308456
DO - 10.1145/3290607.3308456
M3 - Conference contribution
AN - SCOPUS:85067313308
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019
Y2 - 4 May 2019 through 9 May 2019
ER -