Personalization has a Price, Controllability is the Currency: Predictors for the Intention to use Personalized eGovernment Websites

Velsen, Lex van; Geest, Thea van der; Wijngaert, Lidwien van de; Berg, Stéphanie Martine van den; Steehouder, M.F.

doi:10.1080/10919392.2015.990782

Cited by 30 publications

(20 citation statements)

References 45 publications

(39 reference statements)

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“…Finally, participants were asked to rate their intention to use the two mobile applications: 1) a symptom app, and 2) a tracing app. The statements for the construct intention to use were based on Van Velsen et al, 2015 [12]. All three questions were accompanied by a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree).…”

Section: Methodsmentioning

confidence: 99%

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

Kosterink

Hurmuz

Ouden

et al. 2020

Preprint

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Introduction: eHealth applications have been recognized as a valuable tool to reduce COVID-19s effective reproduction number. In this paper, we report on an online survey among Dutch citizens with the goal to identify antecedents of acceptance of a mobile application for COVID-19 symptom recognition and monitoring, and a mobile application for contact tracing. Methods: Next to the demographics, the online survey contained questions focussing on perceived health, fear of COVID-19 and intention to use. We used snowball sampling via posts on social media and personal connections. To identify antecedents of acceptance of the two mobile applications we conducted multiple linear regression analyses. Results: In total, 238 Dutch adults completed the survey. Almost 60% of the responders were female and the average age was 45.6 years (SD=17.4). For the symptom app, the final model included the predictors age, attitude towards technology and fear of COVID-19. The model had an R2 of 0.141. The final model for the tracing app included the same predictors and had an R2 of 0.156. The main reason to use both mobile applications was to control the spread of the COVID-19 virus. Concerns about privacy was mentioned as the main reason not to use the mobile applications. Discussion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance.

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Section: Methodsmentioning

confidence: 99%

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

Kosterink

Hurmuz

Ouden

et al. 2020

Preprint

Self Cite

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“…Previous studies have found that trust in organisations is a factor influencing intention to use related digital government technologies (van Velsen et al 2015). For these reasons, we include measures of trust in the National Health Service, and trust in the UK government's handling of COVID-19.…”

Section: Theory and Hypothesesmentioning

confidence: 99%

Citizens’ Attitudes to Contact Tracing Apps

2020

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Citizens’ concerns about data privacy and data security breaches may reduce adoption of COVID-19 contact tracing mobile phone applications, making them less effective. We implement a choice experiment (conjoint experiment) where participants indicate which version of two contact tracing apps they would install, varying the apps’ privacy-preserving attributes. Citizens do not always prioritize privacy and prefer a centralised National Health Service system over a decentralised system. In a further study asking about participants’ preference for digital vs human-only contact tracing, we find a mixture of digital and human contact tracing is supported. We randomly allocated a subset of participants in each study to receive a stimulus priming data breach as a concern, before asking about contact tracing. Salient threat of unauthorised access or data theft does not significantly alter preferences in either study. We suggest COVID-19 and trust in a national public health service system mitigate respondents’ concerns about privacy.

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“…Trust has been studied widely within the context of technology acceptance and use, and is generally seen as an important antecedent of the acceptance and use of, and loyalty towards eServices (services provided via the Internet) [ 1 – 3 ]. This is also the case for telemedicine, where trust has been found to be an important antecedent of patient acceptance [ 4 ], patients’ and healthy persons’ thoughts on the usefulness of a personal health record [ 5 ], and physicians’ intention to use a telemedicine service [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals

Velsen

Wildevuur

Flierman

et al. 2015

BMC Med Inform Decis Mak

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BackgroundFor many eServices, end-user trust is a crucial prerequisite for use. Within the context of Telemedicine, the role of trust has hardly ever been studied. In this study, we explored what determines trust in portals that facilitate rehabilitation therapy, both from the perspective of the patient and the healthcare professional.MethodsWe held two focus groups with patients (total n = 15) and two with healthcare professionals (total n = 13) in which we discussed when trust matters, what makes up trust in a rehabilitation portal, what effect specific design cues have, and how much the participants trust the use of activity sensor data for informing treatment.ResultsTrust in a rehabilitation portal is the sum of trust in different factors. These factors and what makes up these factors differ for patients and healthcare professionals. For example, trust in technology is made up, for patients, mostly by a perceived level of control and privacy, while for healthcare professionals, a larger and different set of issues play a role, including technical reliability and a transparent data storage policy. Healthcare professionals distrust activity sensor data for informing patient treatment, as they think that sensors are unable to record the whole range of movements that patients make (e.g., walking and ironing clothes).ConclusionsThe set of factors that affect trust in a rehabilitation portal are different from the sets that have been found for other contexts, like eCommerce. Trust in telemedicine technology should be studied as a separate subject to inform the design of reliable interventions.

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Personalization has a Price, Controllability is the Currency: Predictors for the Intention to use Personalized eGovernment Websites

Cited by 30 publications

References 45 publications

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens

Citizens’ Attitudes to Contact Tracing Apps

Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals

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