research-article

Open access

Towards ecosystem for research and development of electrodermal activity applications

Authors:

Henna Salonius,

Jarkko Moilanen,

Jari Liukkonen,

Mikael RinnetmäkiAuthors Info & Claims

Mindtrek '18: Proceedings of the 22nd International Academic Mindtrek Conference

Pages 79 - 87

https://doi.org/10.1145/3275116.3275141

Published: 10 October 2018 Publication History

Abstract

Electrodermal activity is one of the most studied psychophysiological markers of the functioning of the autonomic nervous system and it has been applied in psychophysiological research for over 100 years. However, electrodermal activity measurement has not been largely applied in clinical research until now due to it being limited to laboratory environment before the entry of wearable devices. The aim of this study is to speed up research and development of electrodermal activity applications based on wearable device measurements. In order to reach that goal an ecosystem model is proposed that includes open data, open source, application programming interface and software development kit as central components. To illustrate the ecosystem model a case study of Moodmetric is presented.

References

[1]

Argyle, N. 1991. Skin Conductance Levels in Panic Disorder and Depression. The Journal of Nervous and Mental Disease. 179, 9 (Sep. 1991), 563--566.

[2]

Betella, A., Zucca, R., Cetnarski, R., Greco, A., LanatÃ, A., Mazzei, D., Tognetti, A., Arsiwalla, X.D., Omedas, P., De Rossi, D. and Verschure, P.F.M.J. 2014. Inference of human affective states from psychophysiological measurements extracted under ecologically valid conditions. Frontiers in Neuroscience. 8, (Sep. 2014), 286.

[3]

Bianco, V.D., Myllarniemi, V., Komssi, M. and Raatikainen, M. 2014. The Role of Platform Boundary Resources in Software Ecosystems: A Case Study. 2014 IEEE/IFIP Conference on Software Architecture (Apr. 2014), 11--20.

Digital Library

[4]

Biørn-Hansen, A., Majchrzak, T.A. and Grøndi, T.-M. 2018. Progressive Web Apps for the Unified Development of Mobile Applications. Springer, Cham. 64--86.

[5]

Blechert, J., Michael, T., Grossman, P., Lajtman, M. and Wilhelm, F.H. 2007. Autonomic and Respiratory Characteristics of Posttraumatic Stress Disorder and Panic Disorder. Psychosomatic Medicine. 69, 9 (Nov. 2007), 935--943.

[6]

Boucsein, W. 2012. Electrodermal Activity. Springer US.

[7]

Braune, S., Albus, M., Fröhler, M., Höhn, T. and Scheibe, G. 1994. Psychophysiological and biochemical changes in patients with panic attacks in a defined situational arousal. European Archives of Psychiatry and Clinical Neuroscience. 244, 2 (Aug. 1994), 86--92.

[8]

Cowley, B., Filetti, M., Lukander, K., Torniainen, J., Henelius, A., Ahonen, L., Barral, O., Kosunen, I., Valtonen, T., Huotilainen, M., Ravaja, N. and Jacucci, G. 2016. The Psychophysiology Primer: A Guide to Methods and a Broad Review with a Focus on Human--Computer Interaction. Foundations and Trends® in Human--Computer Interaction. 9, 3-4 (2016), 151--308.

Digital Library

[9]

Critchley, H.D. 2002. Review: Electrodermal Responses: What Happens in the Brain. The Neuroscientist. 8, 2 (Apr. 2002), 132--142.

[10]

De, B. 2017. API Management. API Management. Apress. 15--28.

[11]

Dolu, N., Süer, C., Özesmi, Ç., Keleştimur, F. and Eşel, E. 1997. Electrodermal Activity in Nonmedicated Hyperthyroid Patients Having No Depressive Symptoms. Biological Psychiatry. 42, 11 (Dec. 1997), 1024--1029.

[12]

Dolu, N., Süer, C., Özesmi, Ç., Keleştimur, F. and Özcan, Y. 1999. Electrodermal Activity in Hypothyroid Patients and Healthy Subjects. Thyroid. 9, 8 (Aug. 1999), 787--790.

[13]

Dunderfelt, T. 2017. Valoisaksi. Viisas Elämä.

[14]

Evans, P.C. and Basole, R.C. 2016. Revealing the API ecosystem and enterprise strategy via visual analytics. Communications of the ACM. 59, 2 (Jan. 2016), 26--28.

Digital Library

[15]

Förger, K., Himberg, T., Laroche, J. and Bachrach, A. 2018. FSenSync - A software for enabling collaboration between art and science. Hybrid Labs Symposium 2018 (2018), 1.

[16]

Garbarino, M., Lai, M., Bender, D., Picard, R., Tognetti, S. and 2014, undefined 2014. Empatica E3---A wearable wireless multi-sensor device for real-time computerized biofeedback and data acquisition. Wireless Mobile Communication and Healthcare (Mobihealth) (2014), 39--42.

[17]

Grossman, P., Niemann, L., ... S.S.-J. of psychosomatic and 2004, U. 2004. Mindfulness-based stress reduction and health benefits: A meta-analysis. Journal of psychosomatic research. 57, 1 (2004), 35--34.

[18]

Hartig, T., Mitchell, R., de Vries, S. and Frumkin, H. 2014. Nature and Health. Annual Review of Public Health. 35, 1 (Mar. 2014), 207--228.

[19]

Hoehn, T., Braune, S., Scheibe, G. and Albus, M. 1997. Physiological, biochemical and subjective parameters in anxiety patients with panic disorder during stress exposure as compared with healthy controls. European Archives of Psychiatry and Clinical Neuroscience. 247, 5 (Oct. 1997), 264--274.

[20]

Iansiti, M. and Levien, R. 2004. Strategy as ecology. Harvard business review. 82, 3 (Mar. 2004), 68--78, 126.

[21]

Ilvonen, I., Jussila, J., Karkkainen, H. and Paivarinta, T. 2015. Knowledge Security Risk Management in Contemporary Companies -- Toward a Proactive Approach. 2015 48th Hawaii International Conference on System Sciences (Jan. 2015), 3941--3950.

Digital Library

[22]

Kabat-Zinn, J. 2003. Mindfulness-based stress reduction. Constructivism in the Human Sciences. 8, 2 (2003), 73--107.

[23]

Kappeler-Setz, C., Gravenhorst, F., Schumm, J., Arnrich, B. and Tröster, G. 2013. Towards long term monitoring of electrodermal activity in daily life. Personal and Ubiquitous Computing. 17, 2 (Feb. 2013), 261--271.

Digital Library

[24]

Kenney, M. and Zysman, J. 2016. The rise of the platform economy. Issues in Science and Technology. 32, 3 (2016), 61--69.

[25]

Lader, M.H. and Wing, L. 1964. Habituation of the psycho-galvanic reflex in patients with anxiety states and in normal subjects. Journal of neurology, neurosurgery, and psychiatry. 27, 3 (Jun. 1964), 210--8.

[26]

Lee, Y., Yoon, S., Lee, C. and Lee MH 2006. Wearable EDA sensor gloves using conducting fabric and embedded system. EMBS'06. 28th Annual International Conference of the IEEE (2006), 6785--6788.

[27]

Moilanen, J., Niinioja, M., Seppänen, M. and Honkanen, M. 2018. API-talous 101. Alma Talent Oy.

[28]

Moore, J.F. 1993. Predators and prey: a new ecology of competition. Harvard business review. 71, 3 (1993), 75--86.

[29]

Pantelopoulos, A. and Bourbakis, N.G. 2010. A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 40, 1 (Jan. 2010), 1--12.

Digital Library

[30]

Picard, R., Migliorini, M., Caborni, C., Onorati, F., Regalia, G., Friedman, D. and Devinsky, O. 2017. Wrist sensor reveals sympathetic hyperactivity and hypoventilation before probable SUDEP. Neurology. 89, 6 (2017), 633--635.

[31]

Poh, M., Swenson, N. and Picard, R. 2010. A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE transactions on Biomedical engineering. 57, 5 (2010), 1243--1252.

[32]

Sandifer, P.A., Sutton-Grier, A.E. and Ward, B.P. 2015. Exploring connections among nature, biodiversity, ecosystem services, and human health and well-being: Opportunities to enhance health and biodiversity conservation. Ecosystem Services. 12, (Apr. 2015), 1--15.

[33]

Sarén, H. and Uosukainen, L. 2016. Luonnon hyvinvointivaikutukset ja hyvinvointiteknologia matkailun nakokulmasta.

[34]

Setz, C., Arnrich, B., Schumm, J., La Marca, R., Tröster, G. and Ehlert, U. 2010. Discriminating stress from cognitive load using a wearable EDA device. IEEE Transactions on information technology in biomedicine. 14, 2 (2010), 410--417.

Digital Library

[35]

Suoja, K., Liukkonen, J., Jussila, J., Salonius, H., Venho, N., Sillanpää, V., Vuori, V. and Helander, N. 2018. Application for pre-processing and visualization of electrodermal activity wearable data. EMBEC & NBC 2017 (2018), 93--96.

[36]

Suomalainen fitness-sovellus on paljastanut satojen sotilaiden liikkeitä | Long Play: 2018. https://www.longplay.fi/sivuäänet/suomalainen-fitness-sovellus-paljastanut-satojen-sotilaiden-liikkeita. Accessed: 2018-07-08.

[37]

Suominen, A.H., Jussila, J., Lundell, T., Mikkola, M. and Aramo-Immonen, H. 2018. Educational Hackathon: Innovation Contest for Innovation Pedagogy. The ISPIM Innovation Conference -- Innovation, The Name of The Game, 17-20 June 2018. (Stockholm, 2018).

[38]

Thomas, L. and Autio, E. 2012. Modeling the ecosystem: a meta-synthesis of ecosystem and related literatures. DRUID 2012 Conference (Copenhagen, 2012).

[39]

Torniainen, J., Cowley, B., Henelius, A., Lukander, K. and Pakarinen, S. 2015. Feasibility of an electrodermal activity ring prototype as a research tool. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Aug. 2015), 6433--6436.

[40]

Vardasca, R.Â.R. 2011. The effect of work related mechanical stress on the peripheral temperature of the hand. University of Glamorgan.

[41]

Vukovic, M., Srivastava, B., Branch, J.W., Laredo, J., Muthusamy, V., Slominski, A., Vaculin, R., Tan, W., Naik, V., Silva-Lepe, I. and Kumar, A. 2016. Riding and thriving on the API hype cycle. Communications of the ACM. 59, 3 (Feb. 2016), 35--37.

Digital Library

[42]

Ward, N.G., Doerr, H.O. and Storrie, M.C. 1983. Skin conductance: A potentially sensitive test for depression. Psychiatry Research. 10, 4 (Dec. 1983), 295--302.

[43]

Yin, R. 2003. Case study research and applications: Design and methods. SAGE.

[44]

Yin, R.K. 2011. Applications of case study research. SAGE.

Cited By

Xu JSmaling HSchoones JAchterberg Wvan der Steen J(2024)Noninvasive monitoring technologies to identify discomfort and distressing symptoms in persons with limited communication at the end of life: a scoping reviewBMC Palliative Care10.1186/s12904-024-01371-023:1Online publication date: 21-Mar-2024
https://doi.org/10.1186/s12904-024-01371-0
Tronstad CAmini MBach DMartinsen Ø(2022)Current trends and opportunities in the methodology of electrodermal activity measurementPhysiological Measurement10.1088/1361-6579/ac500743:2(02TR01)Online publication date: 4-Mar-2022
https://doi.org/10.1088/1361-6579/ac5007
Liapis AFaliagka EAntonopoulos CKeramidas GVoros N(2021)Advancing Stress Detection Methodology with Deep Learning Techniques Targeting UX Evaluation in AAL Scenarios: Applying Embeddings for Categorical VariablesElectronics10.3390/electronics1013155010:13(1550)Online publication date: 26-Jun-2021
https://doi.org/10.3390/electronics10131550
Show More Cited By

Index Terms

Towards ecosystem for research and development of electrodermal activity applications
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
2. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics

Recommendations

Using Smart Eyewear to Sense Electrodermal Activity While Reading
UbiComp/ISWC '21 Adjunct: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

In this paper, we present the use of smart eyewear as reading glasses and as non-intrusive sensing devices that can measure the electrodermal activity (EDA) of readers of fiction in real-time using electrodes on the forehead. EDA has seen extensive use ...
Towards long term monitoring of electrodermal activity in daily life

Manic depression, also known as bipolar disorder, is a common and severe form of mental disorder. The European research project MONARCA aims at developing and validating mobile technologies for multi-parametric, long term monitoring of physiological and ...
Electrodermal activity sensing using smart eyewear
UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers

In this paper we present a system prototype capable of assessing electrodermal activity (EDA), also referred to as galvanic skin response (GSR) in smart eyewear form-factor. EDA has a long history in psychological research and has been used for ground ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

Mindtrek '18: Proceedings of the 22nd International Academic Mindtrek Conference

October 2018

282 pages

ISBN:9781450365895

DOI:10.1145/3275116

Copyright © 2018 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

In-Cooperation

Tampere University of Technology
UTA: The University of Tampere
SIGCHI Finland: ACM SIGCHI Finland
Tampere University of Applied Sciences

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

Mindtrek 2018

Mindtrek 2018: Academic Mindtrek 2018

October 10 - 11, 2018

Tampere, Finland

Acceptance Rates

Mindtrek '18 Paper Acceptance Rate 34 of 68 submissions, 50%;

Overall Acceptance Rate 110 of 207 submissions, 53%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
1,025
Total Downloads

Downloads (Last 12 months)123
Downloads (Last 6 weeks)18

Reflects downloads up to 04 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Xu JSmaling HSchoones JAchterberg Wvan der Steen J(2024)Noninvasive monitoring technologies to identify discomfort and distressing symptoms in persons with limited communication at the end of life: a scoping reviewBMC Palliative Care10.1186/s12904-024-01371-023:1Online publication date: 21-Mar-2024
https://doi.org/10.1186/s12904-024-01371-0
Tronstad CAmini MBach DMartinsen Ø(2022)Current trends and opportunities in the methodology of electrodermal activity measurementPhysiological Measurement10.1088/1361-6579/ac500743:2(02TR01)Online publication date: 4-Mar-2022
https://doi.org/10.1088/1361-6579/ac5007
Liapis AFaliagka EAntonopoulos CKeramidas GVoros N(2021)Advancing Stress Detection Methodology with Deep Learning Techniques Targeting UX Evaluation in AAL Scenarios: Applying Embeddings for Categorical VariablesElectronics10.3390/electronics1013155010:13(1550)Online publication date: 26-Jun-2021
https://doi.org/10.3390/electronics10131550
Banganho Ados Santos Mda Silva H(2021)Design and Evaluation of an Electrodermal Activity Sensor (EDA) With Adaptive GainIEEE Sensors Journal10.1109/JSEN.2021.305087521:6(8639-8649)Online publication date: 15-Mar-2021
https://doi.org/10.1109/JSEN.2021.3050875
Liapis AFaliagka EKatsanos CAntonopoulos CVoros N(2021)Detection of Subtle Stress Episodes During UX Evaluation: Assessing the Performance of the WESAD Bio-Signals DatasetHuman-Computer Interaction – INTERACT 202110.1007/978-3-030-85613-7_17(238-247)Online publication date: 26-Aug-2021
https://doi.org/10.1007/978-3-030-85613-7_17
Jussila JSillanpää VBoedeker MHelander N(2020)Sensory Technologies for Improving Employee Experience and Strengthening Customer RelationshipsSociety as an Interaction Space10.1007/978-981-15-0069-5_13(275-291)Online publication date: 1-Mar-2020
https://doi.org/10.1007/978-981-15-0069-5_13
Kajasilta HApiola MLokkila EVeerasamy ALaakso M(2019)Measuring Students’ Stress with Mood Sensors: First FindingsAdvances in Web-Based Learning – ICWL 201910.1007/978-3-030-35758-0_9(92-99)Online publication date: 16-Nov-2019
https://doi.org/10.1007/978-3-030-35758-0_9
Jussila JMadhala P(2019)Cognitive Computing Approaches for Human Activity Recognition from Tweets—A Case Study of Twitter Marketing CampaignResearch & Innovation Forum 201910.1007/978-3-030-30809-4_15(153-170)Online publication date: 29-Oct-2019
https://doi.org/10.1007/978-3-030-30809-4_15

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents