---
_id: '7162'
abstract:
- lang: eng
  text: Heart rate variability biofeedback has emerged as a validated intervention
    for stress management and emotional regulation through coherence breathing techniques.
    Existing biofeedback systems typically present cardiac and respiratory signals
    as separate feedback channels or rely on discrete interface elements that fragment
    attention and disrupt immersion. We present a design framework that extends Viscereality,
    a bioresponsive VR framework originally developed for breath mapping, to integrate
    multi-channel biofeedback including heart rate within immersive VR, centered on
    a particle-based environment that functions as a spatial body-mapping interface.
    By leveraging bioresponsive breath interactions for embodiment and weak representational
    aesthetics for cardiac coherence, the framework aims to encode both streams within
    a shared visual substrate, reducing the attentional task-switching and experiential
    fragmentation that multi-channel displays otherwise risk. The system translates
    lung volume into spatial expansion and contraction of the environment itself,
    maps cardiac coherence onto affective visual dimensions (angularity, brightness,
    saturation, symmetry), and embeds breathing guidance within the same geometric
    substrate. We present the design rationale and implementation of this framework,
    with empirical validation of its effectiveness to be conducted in future studies.
author:
- first_name: George
  full_name: Fejer, George
  last_name: Fejer
- first_name: Till
  full_name: Holzapfel, Till
  last_name: Holzapfel
- first_name: Taru
  full_name: Hirvonen, Taru
  last_name: Hirvonen
- first_name: Anestis-Pere
  full_name: Lalidis Mateo, Anestis-Pere
  id: '236796'
  last_name: Lalidis Mateo
  orcid: 0009-0002-9545-9043
  orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9545-9043/work/226875376
- first_name: Johannes
  full_name: Blum, Johannes
  last_name: Blum
- first_name: Michael
  full_name: Gaebler, Michael
  last_name: Gaebler
- first_name: Bigna
  full_name: Lenggenhager, Bigna
  last_name: Lenggenhager
citation:
  alphadin: '<span style="font-variant:small-caps;">Fejer, George</span> ; <span style="font-variant:small-caps;">Holzapfel,
    Till</span> ; <span style="font-variant:small-caps;">Hirvonen, Taru</span> ; <span
    style="font-variant:small-caps;">Lalidis Mateo, Anestis-Pere</span> ; <span style="font-variant:small-caps;">Blum,
    Johannes</span> ; <span style="font-variant:small-caps;">Gaebler, Michael</span>
    ; <span style="font-variant:small-caps;">Lenggenhager, Bigna</span>: Breathing
    Space: Spatial Mapping of Breath and Cardiac Biofeedback for Affective State Representation
    and Coherence Training in Viscereality. In: <span style="font-variant:small-caps;">Association
    for Computing Machinery (ACM)</span> (Hrsg.): <i>Proceedings of the 1st International
    Conference on Human-Computer Interaction in the Alps</i>. New York, NY, USA :
    ACM, 2026, S. 79–86'
  ama: 'Fejer G, Holzapfel T, Hirvonen T, et al. Breathing Space: Spatial Mapping
    of Breath and Cardiac Biofeedback for Affective State Representation and Coherence
    Training in Viscereality. In: Association for Computing Machinery (ACM), ed. <i>Proceedings
    of the 1st International Conference on Human-Computer Interaction in the Alps</i>.
    New York, NY, USA: ACM; 2026:79-86. doi:<a href="https://doi.org/10.1145/3780045.3780061">10.1145/3780045.3780061</a>'
  apa: 'Fejer, G., Holzapfel, T., Hirvonen, T., Lalidis Mateo, A.-P., Blum, J., Gaebler,
    M., &#38; Lenggenhager, B. (2026). Breathing Space: Spatial Mapping of Breath
    and Cardiac Biofeedback for Affective State Representation and Coherence Training
    in Viscereality. In Association for Computing Machinery (ACM) (Ed.), <i>Proceedings
    of the 1st International Conference on Human-Computer Interaction in the Alps</i>
    (pp. 79–86). New York, NY, USA: ACM. <a href="https://doi.org/10.1145/3780045.3780061">https://doi.org/10.1145/3780045.3780061</a>'
  bibtex: '@inproceedings{Fejer_Holzapfel_Hirvonen_Lalidis Mateo_Blum_Gaebler_Lenggenhager_2026,
    place={New York, NY, USA}, title={Breathing Space: Spatial Mapping of Breath and
    Cardiac Biofeedback for Affective State Representation and Coherence Training
    in Viscereality}, DOI={<a href="https://doi.org/10.1145/3780045.3780061">10.1145/3780045.3780061</a>},
    booktitle={Proceedings of the 1st International Conference on Human-Computer Interaction
    in the Alps}, publisher={ACM}, author={Fejer, George and Holzapfel, Till and Hirvonen,
    Taru and Lalidis Mateo, Anestis-Pere and Blum, Johannes and Gaebler, Michael and
    Lenggenhager, Bigna}, editor={Association for Computing Machinery (ACM)Editor},
    year={2026}, pages={79–86} }'
  chicago: 'Fejer, George, Till Holzapfel, Taru Hirvonen, Anestis-Pere Lalidis Mateo,
    Johannes Blum, Michael Gaebler, and Bigna Lenggenhager. “Breathing Space: Spatial
    Mapping of Breath and Cardiac Biofeedback for Affective State Representation and
    Coherence Training in Viscereality.” In <i>Proceedings of the 1st International
    Conference on Human-Computer Interaction in the Alps</i>, edited by Association
    for Computing Machinery (ACM), 79–86. New York, NY, USA: ACM, 2026. <a href="https://doi.org/10.1145/3780045.3780061">https://doi.org/10.1145/3780045.3780061</a>.'
  ieee: 'G. Fejer <i>et al.</i>, “Breathing Space: Spatial Mapping of Breath and Cardiac
    Biofeedback for Affective State Representation and Coherence Training in Viscereality,”
    in <i>Proceedings of the 1st International Conference on Human-Computer Interaction
    in the Alps</i>, Ascona Switzerland, 2026, pp. 79–86.'
  mla: 'Fejer, George, et al. “Breathing Space: Spatial Mapping of Breath and Cardiac
    Biofeedback for Affective State Representation and Coherence Training in Viscereality.”
    <i>Proceedings of the 1st International Conference on Human-Computer Interaction
    in the Alps</i>, edited by Association for Computing Machinery (ACM), ACM, 2026,
    pp. 79–86, doi:<a href="https://doi.org/10.1145/3780045.3780061">10.1145/3780045.3780061</a>.'
  short: 'G. Fejer, T. Holzapfel, T. Hirvonen, A.-P. Lalidis Mateo, J. Blum, M. Gaebler,
    B. Lenggenhager, in: Association for Computing Machinery (ACM) (Ed.), Proceedings
    of the 1st International Conference on Human-Computer Interaction in the Alps,
    ACM, New York, NY, USA, 2026, pp. 79–86.'
conference:
  end_date: 2026-03-05
  location: Ascona Switzerland
  name: 'AlpCHI 2026: 1st International Conference on Human-Computer Interaction in
    the Alps'
  start_date: 2026-03-01
corporate_editor:
- Association for Computing Machinery (ACM)
date_created: 2026-09-16T08:44:02Z
date_updated: 2026-09-16T09:58:10Z
department:
- _id: '102'
doi: 10.1145/3780045.3780061
file:
- access_level: open_access
  content_type: application/pdf
  creator: alalidismateo
  date_created: 2026-09-16T08:24:45Z
  date_updated: 2026-09-16T08:24:45Z
  file_id: '7163'
  file_name: 3780045.3780061.pdf
  file_size: 5255806
  relation: main_file
  success: 1
file_date_updated: 2026-09-16T08:24:45Z
has_accepted_license: '1'
keyword:
- heart rate variability
- biofeedback
- virtual reality
- affective state modulation
- affective visualization
- coherence breathing
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 79-86
place: New York, NY, USA
project:
- _id: A827C0AA-C7DA-11E9-B0AE-1F4CB252D58D
  name: Institute for Building Intelligence
publication: Proceedings of the 1st International Conference on Human-Computer Interaction
  in the Alps
publication_identifier:
  isbn:
  - '9798400719486'
publication_status: published
publisher: ACM
quality_controlled: '1'
related_material:
  record:
  - id: '7164'
    relation: other
    status: public
status: public
title: 'Breathing Space: Spatial Mapping of Breath and Cardiac Biofeedback for Affective
  State Representation and Coherence Training in Viscereality'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: conference
urn: urn:nbn:de:hbz:bi10-71625
user_id: '220548'
year: '2026'
...
