TY - GEN
T1 - Towards a Taxonomy for Evaluating Societal Concerns of Contact Tracing Apps
AU - Welsh, Thomas
AU - Rekanar, Kaavya
AU - Abbas, Manzar
AU - Chochlov, Muslim
AU - Fitzgerald, Brian
AU - Glynn, Liam
AU - Johnson, Kevin
AU - Laffey, John
AU - McNicholas, Bairbre
AU - Nuseibeh, Bashar
AU - Oconnell, James
AU - Okeeffe, Derek
AU - Okeeffe, Ian R.
AU - Ocallaghan, Mike
AU - Razzaq, Abdul
AU - Richardson, Ita
AU - Simpkin, Andrew
AU - Storni, Cristiano
AU - Tsvyatkova, Damyanka
AU - Walsh, Jane
AU - Buckley, Jim
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/5
Y1 - 2020/11/5
N2 - Contact Tracing (CT) is seen as a key tool in reducing the propagation of viruses, such as Covid-19. Given near ubiquitous societal usage of mobile devices, governments globally are choosing to augment manual CT with CT applications (CTAs) on smart phones. While a plethora of solutions have been spawned, their overall effectiveness is based on majority population uptake. Unfortunately, their rapid deployment and the nature of the information they gather has prompted a variety of user concerns such as information privacy and Data Protection (DP). Therefore selecting an optimal solution to maximise user trust and uptake is crucial. In this work, we present our initial deliberations towards a CTA evaluation taxonomy for societal concerns. This is a subset of a larger taxonomy which is being developed as part of the Science Foundation Ireland project-COVIGILANT, which will ultimately be utilized to evaluate and compare numerous CTAs to select the optimal solution for a given population. In this paper we present our preliminary CTAs with respect to the societal concerns of security, data protection and transparency. We then elaborate on these CTAs by means of two illustrative examples in order to promote discussion, evaluation and refinement.
AB - Contact Tracing (CT) is seen as a key tool in reducing the propagation of viruses, such as Covid-19. Given near ubiquitous societal usage of mobile devices, governments globally are choosing to augment manual CT with CT applications (CTAs) on smart phones. While a plethora of solutions have been spawned, their overall effectiveness is based on majority population uptake. Unfortunately, their rapid deployment and the nature of the information they gather has prompted a variety of user concerns such as information privacy and Data Protection (DP). Therefore selecting an optimal solution to maximise user trust and uptake is crucial. In this work, we present our initial deliberations towards a CTA evaluation taxonomy for societal concerns. This is a subset of a larger taxonomy which is being developed as part of the Science Foundation Ireland project-COVIGILANT, which will ultimately be utilized to evaluate and compare numerous CTAs to select the optimal solution for a given population. In this paper we present our preliminary CTAs with respect to the societal concerns of security, data protection and transparency. We then elaborate on these CTAs by means of two illustrative examples in order to promote discussion, evaluation and refinement.
KW - data-protection transparency covid-19 taxonomy GDPR mhealth
UR - http://www.scopus.com/inward/record.url?scp=85101623177&partnerID=8YFLogxK
U2 - 10.1109/BESC51023.2020.9348293
DO - 10.1109/BESC51023.2020.9348293
M3 - Conference contribution
AN - SCOPUS:85101623177
T3 - Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020
BT - Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020
Y2 - 5 November 2020 through 7 November 2020
ER -
