Abstract
Although regular meditation practice is linked to numerous mental health and cognitive benefits, it is often difficult for beginners to maintain focus during practice and persevere with the activity over time. To tackle this issue, we externalised the ability of self reporting loss of focus by developing a feedback loop that helps the user track and maintain their concentration levels in a non-invasive manner. We hypothesise that the change in breathing pattern can indicate a loss of concentration and the act of audibly amplifying a person's breathing sounds during meditation can help them regain and maintain focus on their breathing, leading to a more effective meditation session. We present experimental designs and findings towards this end. Copyright held by the owner/author(s).
| Original language | English |
|---|---|
| Title of host publication | UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 688-692 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450351904 |
| DOIs | |
| Publication status | Published - 2017 Sep 11 |
| Event | 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, United States Duration: 2017 Sep 11 → 2017 Sep 15 |
Other
| Other | 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 |
|---|---|
| Country | United States |
| City | Maui |
| Period | 17/9/11 → 17/9/15 |
Fingerprint
Keywords
- Attention
- Biosignals
- Breathing feedback
- Focus
- Interactivity
- Meditation
- Mindfulness
- Self-regulation process
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications
Cite this
Towards interactive mindfulness training using breathing based feedback. / Pisa, Andrea M.; Chernyshov, George; Nassou, Andriana F.; Kunze, Kai Steven.
UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2017. p. 688-692.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Towards interactive mindfulness training using breathing based feedback
AU - Pisa, Andrea M.
AU - Chernyshov, George
AU - Nassou, Andriana F.
AU - Kunze, Kai Steven
PY - 2017/9/11
Y1 - 2017/9/11
N2 - Although regular meditation practice is linked to numerous mental health and cognitive benefits, it is often difficult for beginners to maintain focus during practice and persevere with the activity over time. To tackle this issue, we externalised the ability of self reporting loss of focus by developing a feedback loop that helps the user track and maintain their concentration levels in a non-invasive manner. We hypothesise that the change in breathing pattern can indicate a loss of concentration and the act of audibly amplifying a person's breathing sounds during meditation can help them regain and maintain focus on their breathing, leading to a more effective meditation session. We present experimental designs and findings towards this end. Copyright held by the owner/author(s).
AB - Although regular meditation practice is linked to numerous mental health and cognitive benefits, it is often difficult for beginners to maintain focus during practice and persevere with the activity over time. To tackle this issue, we externalised the ability of self reporting loss of focus by developing a feedback loop that helps the user track and maintain their concentration levels in a non-invasive manner. We hypothesise that the change in breathing pattern can indicate a loss of concentration and the act of audibly amplifying a person's breathing sounds during meditation can help them regain and maintain focus on their breathing, leading to a more effective meditation session. We present experimental designs and findings towards this end. Copyright held by the owner/author(s).
KW - Attention
KW - Biosignals
KW - Breathing feedback
KW - Focus
KW - Interactivity
KW - Meditation
KW - Mindfulness
KW - Self-regulation process
UR - http://www.scopus.com/inward/record.url?scp=85030840293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030840293&partnerID=8YFLogxK
U2 - 10.1145/3123024.3129268
DO - 10.1145/3123024.3129268
M3 - Conference contribution
AN - SCOPUS:85030840293
SP - 688
EP - 692
BT - UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery, Inc
ER -