Why should I use a multi-hazard app? Assessing the public's information needs and app feature preferences in a participatory process

Dallo, Irina; Marti, Michèle

doi:10.1016/j.ijdrr.2021.102197

Cited by 16 publications

(11 citation statements)

References 30 publications

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“…To compare these apps, we analyze the praise, and complaints, while mentioned feature aspects, requests and usage scenarios are coded as users' perceived advantages, information challenges, and gaps. Two researchers iteratively discussed and generated a suitable coding scheme, which was built abductively with some categories deduced from previous usability assessments on crisis apps [12,30,52] and an analysis of review responses [57], while other codes emerged from the text. Due to the novelty and the speed of the development of updates, the analysis does not show the critiques of the most current versions, but rather users' needs and assessments regarding information in the protracted crisis.…”

Section: Methodsmentioning

confidence: 99%

“…Among the reviews related to COVID-19, NINA received significantly less general praise and thanks (16). The appearance of pandemic-related information was sometimes generally contested because it was not seen as an emergency (12). When COVID-19 information was generally approved, it was often regarded as clustering the app with older general information at the top, making it difficult to identify new notifications (16).…”

Section: Analysis Of User Reviewsmentioning

confidence: 99%

“…extreme weather warnings in weather apps), other apps are built to warn about multiple hazards [54]. While such apps are widely regarded as important (as far as they centralize many relevant warning types in one authoritative app), they are rarely adopted [12,28]. Usage intention is positively influenced by risk perception, trust, and perception of using warning apps as a subjective norm [15].…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…Furthermore, dependability, avoidance of advertisement, resource efficiency, appropriate audio interface for alerting, and avoidance of in-app browsing are usability requirements that are particular to warning apps [52]. Research suggests that even during the COVID-19 crisis, pandemics were infrequently mentioned as hazards that should be included in a multi-hazard warning app [12]. Such warning apps, like NINA, were largely not perceived as filling the information needs in a study in April 2020 [22].…”

Section: Introduction and Related Workmentioning

confidence: 99%

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Bridging from Crisis to Everyday Life – An Analysis of User Reviews of the Warning App NINA and the COVID-19 Regulation Apps CoroBuddy and DarfIchDas

Haunschild

Reuter

2021

Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing

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During a dynamic and protracted crisis such as the COVID-19 pandemic, citizens are continuously challenged with making decisions under uncertainty. In addition to evaluating the risk of their behaviors to themselves and others, citizens also have to consider the most current regulation, which often varies federally and locally and by incidence numbers. Few tools help to stay informed about the current rules. The state-run German multi-hazard warning app NINA incorporated a feature for COVID-19, while two apps, DarfIchDas and CoroBuddy, focus only on COVID-19 regulation and are privately run. To investigate users' expectations, perceived advantages, and gaps as well as the developers' challenges, we analyze recent app store reviews of the apps and developers' replies. We show that the warning app and the COVID-19 regulation apps are evaluated on different terms, that the correctness and portrayal of complex rules are the main challenges and that developers and editors are underusing users' potential for crowdsourcing. CCS CONCEPTS• Human-centered computing → Empirical studies in ubiquitous and mobile computing.

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Section: Methodsmentioning

confidence: 99%

Section: Analysis Of User Reviewsmentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

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Bridging from Crisis to Everyday Life – An Analysis of User Reviews of the Warning App NINA and the COVID-19 Regulation Apps CoroBuddy and DarfIchDas

Haunschild

Reuter

2021

Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing

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“…Over the past decade, PEEW systems have notably been set up at local or national levels in Japan, Taiwan, Mexico, South Korea, and the United States (Cremen and Galasso, 2020). PEEW systems have become a public expectation in many regions where earthquake risk is significant (Becker et al, 2020;Dallo and Marti, 2021), yet their development is hampered by the implementation and operating costs of such systems (Strauss and Allen, 2016).…”

Section: Introductionmentioning

confidence: 99%

Efficacy and Usefulness of an Independent Public Earthquake Early Warning System: A Case Study—The Earthquake Network Initiative in Peru

Fallou

Finazzi

Bossu

2021

Seismological Research Letters

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Public earthquake early warning (PEEW) systems are intended to reduce individual risk by warning people ahead of shaking and allowing them to take protective action. Yet very few studies have assessed their actual efficacy from a risk-reduction perspective. Moreover, according to these studies, a majority of people do not undertake safety actions when receiving the warning. The spectrum of PEEW systems has expanded, with a greater diversity of actors (from citizens to private companies), increased independence from national authorities, and greater internationality. Beyond differences in warning and messaging strategies, systems’ characteristics may impact the way the public perceive, trust, understand, and respond to these warnings, which in turn will influence PEEW systems’ efficacy and perceived usefulness, enhancing the need for additional research. We take the example of earthquake network, an independent, voluntary, community-based and free system that offers a PEEW service. Through a quantitative survey (n = 2625), we studied users’ perception and reaction to a warning sent related to an M 8.0 earthquake in Peru (where no national system existed). We observed that even though only a minority of users actually took protective action, the system was appreciated and perceived as useful by the majority because it enabled mental preparation before the shaking. We found evidence for a tolerance for perceived late, missed, and false alerts. However, because it is a voluntary and independent system, the social dimension of the warning was incomplete because only a fringe of the population benefited from the warning. Therefore, many users’ first reaction was to warn their relatives. We discuss the need for partnerships between PEEW operators and national authorities to guarantee universal access to the service and maximize PEEW system efficacy.

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Towards Impact‐Based Communication During Climate Emergencies

Meléndez‐Landaverde,

Sempere‐Torres,

Park

2024

Responding to Extreme Weather Events

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Why should I use a multi-hazard app? Assessing the public's information needs and app feature preferences in a participatory process

Cited by 16 publications

References 30 publications

Bridging from Crisis to Everyday Life – An Analysis of User Reviews of the Warning App NINA and the COVID-19 Regulation Apps CoroBuddy and DarfIchDas

Bridging from Crisis to Everyday Life – An Analysis of User Reviews of the Warning App NINA and the COVID-19 Regulation Apps CoroBuddy and DarfIchDas

Efficacy and Usefulness of an Independent Public Earthquake Early Warning System: A Case Study—The Earthquake Network Initiative in Peru

Towards Impact‐Based Communication During Climate Emergencies

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