Abstract
This paper gives an overview of the ongoing project STellaR – A stationary telepresence counselling system for collaborative work on paper documents. The system consists of dedicated rooms for video counselling, which clients can use to connect to a remotely located counselor without requiring any knowledge about computers or the internet. STellaR rooms are equipped with a large monitor, high quality microphone, camera, and sound system, which represent the counselor in life size.
The system enables a collaborative work on paper documents, that are still widely used in e.g., debt counselling. These documents are scanned and transmitted to the counselor. Through the use of projectors, the counselor can point, mark and annotate the paper documents. Furthermore, the digitized paper documents are archived in a block chain. This enables to track their states of editing over several counselling sessions.
We describe the developments on the system that have already taken place, as well as planned, future work.
This research and development project is funded by the German Federal Ministry of Education and Research (BMBF) within the funding program “Forschung an Fachhochschulen” (13FH034SX8). The project is in cooperation with Bundesarbeitsgemeinschaft der Freien Wohlfahrtspflege (BAGFW) e.V., Deutscher Caritasverband e.V. and AWO Unterbezirk Hagen-Märkischer Kreis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
https://jitsi.org/, last accessed 11.06.2021.
- 2.
https://opensource.google/projects/tesseract, last accessed 11.06.2021.
- 3.
Other aspects include for example: use of digital media, questions about the room in general (clients only), technical difficulties during the session as well as socio-demographic data of participants.
References
Sadler, M.: COVID-19 Software Industry Statistics. https://www.trustradius.com/vendor-blog/covid-19-software-industry-data-and-statistics. Accessed 08 Jun 2021
Drda-Kühn, K., Hahner, R., Schlenk, E.: Mit smartphone, tablet und Sozialen Medien – Online-Beratung und -Therapie für die Generation der “Digital Natives“. e-beratungsjournal.net 14(1), 27–37 (2018)
Engelhardt, E. M., Reindl, R.: Blended counseling – beratungsform der zukunft? Resonanzen. E-J. für biopsychosoziale Dialoge in Psychotherapie, Supervision und Beratung, 4(2), 130–144 (2016)
Reindl, R.: Zum Stand der Onlineberatung in Zeiten der Digitalisierung. e-beratungsjournal.net 14(1), 16–26 (2018)
D 21-Digital-Index 2020/2021, Initiative D21. https://initiatived21.de/app/uploads/2021/02/d21-digital-index-2020_2021.pdf#page=28, p. 26. Accessed 08 Jun 2021
D 21-Digital-Index 2020/2021, Initiative D21, https://initiatived21.de/app/uploads/2021/02/d21-digital-index-2020_2021.pdf#page=12, p. 10. Accessed 08 Jun 2021
Dome, S., Sathe, A.P.: Optical charater recognition using tesseract and classification. In: 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), pp. 153–158 (2021)
Nathan, K.S., Beigi, H.S.M., Subrahmonia, J., Clary, G.J., Maruyama, H.: Real-time on-line unconstrained handwriting recognition using statistical methods. In: International Conference on Acoustics, Speech, and Signal Processing 1995, vol. 4, pp. 2619–2622 (1995)
Zimmermann, M., Chappelier, J., Bunke, H.: Offline grammar-based recognition of handwritten sentences. IEEE Trans. Pattern Anal. Mach. Intell. 28(5), 818–821 (2006)
Simard, P.Y., Steinkraus, D., Platt, J.C.: Best practices for convolutional neural networks applied to visual document analysis. In: Proceedings of the 7th International Conference on Document Analysis and Recognition 2003, pp. 958–963 (2003)
Sukthankar, R., Cham, T.-J., Sukthankar, G.: Dynamic shadow elimination for multi-projector displays. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, p. II (2001)
Nagabhushan, P., Hannane, R., Elboushaki, A., Javed, M.: Automatic removal of handwritten annotations from between-text-lines and inside-text-line regions of a printed text document. Procedia Comput. Sci. 45, 205–214 (2015)
Abid, G., Aslam, B., Rizwan, M., Ahmad, F., Sattar, M.U.: Block-chain - security advancement in medical sector for sharing medical records. In: 2019 International Conference on Innovative Computing (ICIC) (2019)
Christo, M.S., Anigo Merjora, A., Partha Sarathy, G., Priyanka, C., Raj Kumari, M.: An efficient data security in medical report using block chain technology. In: 2019 International Conference on Communication and Signal Processing (ICCSP), pp. 0606–0610 (2019)
Witmer, B.G., Singer, M.J.: Measuring presence in virtual environments: a presence questionnaire. Presence 7(8), 225–240 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix
Appendix
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Laak, M., Schmitz, AK., Becking, D., Seelmeyer, U., Waag, P., Weinhardt, M. (2021). STellaR – A Stationary Telepresence Counselling System for Collaborative Work on Paper Documents. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1499. Springer, Cham. https://doi.org/10.1007/978-3-030-90179-0_49
Download citation
DOI: https://doi.org/10.1007/978-3-030-90179-0_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90178-3
Online ISBN: 978-3-030-90179-0
eBook Packages: Computer ScienceComputer Science (R0)