Usability of disaster apps : understanding the perspectives of the public as end-users : a dissertation presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Emergency Management at Massey University, Wellington, New Zealand

Listed in 2020 Dean's List of Exceptional ThesesMultiple smartphone applications (apps) exist that can enhance the public’s resilience to disasters. Despite the capabilities of these apps, they can only be effective if users find them usable. Availability does not automatically translate to usability nor does it guarantee continued usage by the target users. A disaster app will be of little or no value if a user abandons it after the initial download. It is, therefore, essential to understand the users’ perspectives on the usability of disaster apps. In the context of disaster apps, usability entails providing the elements that effectively facilitate users in retrieving critical information, and thus enabling them to make decisions during crises. Establishing good usability for effective systems relies upon focussing on the user whereby technological solutions match the user’s needs and expectations. However, most studies on the usability of disaster context technologies have been conducted with emergency responders, and only a few have investigated the publics’ perspectives as end-users. This doctoral project, written within a ‘PhD-thesis-with-publication’ format, addresses this gap by investigating the usability of disaster apps through the perspectives of the public end-users. The investigation takes an explicitly perceived usability standpoint where the experiences of the end-users are prioritised. Data analysis involved user-centric information to understand the public’s context and the mechanisms of disaster app usability. A mixed methods approach incorporates the qualitative analysis of app store data of 1,405 user reviews from 58 existing disaster apps, the quantitative analysis of 271 survey responses from actual disaster app users, and the qualitative analysis of usability inquiries with 18 members of the public. Insights gathered from this doctoral project highlight that end-users do not anticipate using disaster apps frequently, which poses particular challenges. Furthermore, despite the anticipated low frequency of use, because of the life-safety association of disasters apps, end-users have an expectation that the apps can operate with adequate usability when needed. This doctoral project provides focussed outcomes that consider such user perspectives. First, an app store analysis investigating user reviews identified new usability concerns particular to disaster apps. It highlighted users’ opinion on phone resource usage and relevance of content, among others. More importantly, it defined a new usability factor, app dependability, relating to the life-safety context of disaster apps. App dependability is the degree to which users’ perceive that an app can operate dependably during critical scenarios. Second, the quantitative results from this research have contributed towards producing a usability-continuance model, highlighting the usability factors that affect end-users’ intention to keep or uninstall a disaster app. The key influences for users’ intention to keep disaster apps are: (1) users’ perceptions as to whether the app delivers its function (app utility), (2) whether it does so dependably (app dependability), and (3) whether it presents information that can be easily understood (user-interface output). Subsequently, too much focus on (4) user-interface graphics and (5) user-interface input can encourage users to uninstall apps. Third, the results from the qualitative analysis of the inquiry data provide a basis for developing guidelines for disaster app usability. In the expectation of low level of engagement with disaster app users, the guidelines list recommendations addressing information salience, cognitive load, and trust. This doctoral project provides several contributions to the body of knowledge for usability and disaster apps. It reiterates the importance of investigating the usability of technological products for disasters and showcases the value of user-centric data in understanding usability. It has investigated usability with particular attention to the end-users’ perspectives on the context of disaster apps and, thus, produces a theoretical usability-continuance model to advance disaster app usability research and usability guidelines to encourage responsible design in practice

Integration of Offshore Wind with O&G Platforms with an Energy Storage System

Offshore O&G exploration companies are moving to greater depths to access more abundant O&G reservoirs in deeper waters, resulting in higher costs for HVDC power transmission. As such, an integrated system consisting of an offshore floating wind farm and O&G production platforms with a battery energy storage system (BESS) is proposed in this paper. Transient stability results of the proposed system shows a reduction in transient deviation in load power from -19% to +2/-10%, which meets the IEC and NORSOK standards for O&G platforms. In addition, the load power is also maintained close to 1 p.u. during the transient period

The Public\u27s Perception of an Earthquake Early Warning System: A Study on Factors Influencing Continuance Intention

This paper investigates the perceptions of the New Zealand public towards the Android Earthquake Alert (AEA) system, a public-facing earthquake early warning system. Specifically, it examines the public’s continuance intention towards the AEA system and the influencing factors of satisfaction, confirmation, perceived usefulness, and perceived trust. To gather insights into the public’s perceptions regarding the AEA system, this study distributed online surveys following two separate earthquake alert events on 12 October and 22 October 2021. A total of 524 and 671 participants responded to the two events’ surveys, providing valuable data for analysis and exploration. Structural Equation Modelling of the two datasets revealed that the continuance model fit the data to some extent, especially on the significance of perceived usefulness and perceived trust to continuance intention. However, the results also showed varying results for satisfaction’s relationship with perceived trust and continuance intention. These findings underscore the need for further investigation into the role of satisfaction and perceived trust, considering the evolving nature of EEW technologies and users’ familiarity over time. The descriptive and inferential analysis results raised concerns about potential confusion around the alerts’ source and highlighted the question of responsibility and liability for EEW. Overall, this study contributes to understanding continuance intention in the EEW context and provides insights into the public’s perception of the AEA system in New Zealand. The findings have implications more broadly for EEW systems’ design, implementation, and communication strategies

Nanofabrication of Conductive Metallic Structures on Elastomeric Materials.

Existing techniques for patterning metallic structures on elastomers are limited in terms of resolution, yield and scalability. The primary constraint is the incompatibility of their physical properties with conventional cleanroom techniques. We demonstrate a reliable fabrication strategy to transfer high resolution metallic structures of <500 nm in dimension on elastomers. The proposed method consists of producing a metallic pattern using conventional lithographic techniques on silicon coated with a thin sacrificial aluminium layer. Subsequent wet etching of the sacrificial layer releases the elastomer with the embedded metallic pattern. Using this method, a nano-resistor with minimum feature size of 400 nm is fabricated on polydimethylsiloxane (PDMS) and applied in gas sensing. Adsorption of solvents in the PDMS causes swelling and increases the device resistance, which therefore enables the detection of volatile organic compounds (VOCs). Sensitivity to chloroform and toluene vapor with a rapid response (~30 s) and recovery (~200 s) is demonstrated using this PDMS nano-resistor at room temperature

A supply chain framework for characterizing indirect vulnerability

Purpose Climate vulnerability assessments are often operationalized by the analysis of indicators defined by the spatial boundaries of the community under study. These, however, sometimes fail to capture interdependency among communities for basic resources. This paper aims to propose a framework for characterizing vulnerability caused by interdependency by adapting a supply chain lens. Design/methodology/approach The paper proposes a definition for “indirect vulnerability” that recognizes the transboundary and teleconnected nature of vulnerability arising from resource networks among cities and communities. A conceptual framework using a supply chain approach is presented for climate hazards in particular. This approach is then demonstrated through a rapid appraisal of the rice, energy and water supply chains and the waste management chains of Metro Manila. Findings The application of the supply chain lens to assessing the indirect vulnerability of Metro Manila brings to fore issues extending beyond the decision-making boundaries of local government units. Addressing these will require vertical government coordination and horizontal inter-sectoral collaboration. Thus, this supply chain-based indirect vulnerability assessment can be complementary to traditional vulnerability assessments in providing a larger systems perspective. Originality/value Innovative tools are needed to make community vulnerability assessments both holistic and tractable. Existing methods in the private sector can be adapted rather than reinventing the wheel. This supply chain framework can be a useful decision support and planning tool across governance levels to comprehensively address vulnerability

Knowledge, perceptions, and behavioral responses to earthquake early warning in Aotearoa New Zealand

IntroductionAotearoa New Zealand (NZ) experiences frequent earthquakes, with a history of damaging and fatal events, but currently does not have a national, official earthquake early warning (EEW) system. Since April of 2021, Google's Android Earthquake Alert System has operated independently in NZ. While recent work has identified general public support for such a system, it is important to assess public knowledge of EEW as well as typical responses to receiving an alert. The protective actions “Drop, cover, and hold” are recommended and taught in NZ and previous research found strong intentions to undertake these and other protective actions in response to an alert.MethodHowever, it is important to explore a range of responses to these novel EEWs, including how much people know about them, what actions they took in response to the warning, and their overall judgment of the system including its usefulness. We undertook surveys following two widely received alerts from the Android Earthquake Alert System to assess public knowledge, perceptions, and responses to these alerts with a total sample size of 3,150.ResultsWhile most participants who received the alert found it useful, knowledge of both EEW generally and the Android System specifically was low and few participants used the time to protect themselves from shaking.DiscussionThese findings reiterate the importance of education and communication around a warning system, so that the public know how to act when they receive an alert

Management of Orbital and Periorbital Venous Malformation

BackgroundTo review our management of common venous malformation (VM) affecting the orbit and/or periorbital area.MethodsConsecutive patients with orbital and/or periorbital VM were identified from our vascular anomalies database. Demographic details of the patients, anatomic site(s) affected, symptoms and signs, presence of a family history of VM, and types of treatment(s) were collected, supplemented by chart review.ResultsA total of 24 patients’ age 1–68 (mean, 30) years with orbital and/or periorbital VM presented with cosmetic concerns (n = 17, 71%), distensibility (n = 15, 63%), pain (n = 9, 38%), diplopia (n = 4, 17%), and spontaneous thrombosis (n = 1, 8%). The VM caused globe dystopia (n = 13, 54%), enophthalmos (n = 6, 25%), proptosis (n = 3, 12%), exotropia (n = 3, 12%), and pseudoptosis with visual obstruction (n = 3, 13%). A total of 11 (46%) patients were managed conservatively. 13 (54%) patients underwent active treatment. Ethanol sclerotherapy (ES) was performed in six patients with extensive facial VM associated with orbital/periorbital involvement, resulting in symptomatic improvement in five patients, one of whom developed skin necrosis and another patient developed reduced infraorbital nerve sensation. Surgery was performed for localized lesion (n = 3, 23%), for extensive lesions (n = 4, 31%) and as an adjunct to ES (n = 6, 46%) resulting in symptomatic improvement in all patients. One patient required correction of lower lid ectropion.ConclusionOrbital and/or periorbital VMs are heterogeneous, and management needs to be individualized. Surgery is used for localized lesions aiming for complete excision, as a debulking procedure for extensive orbital/periorbital VM when ES was not possible, or following ES for extensive facial VM with orbital and/or periorbital involvement

Leveraging Large Language Models in Conversational Recommender Systems

A Conversational Recommender System (CRS) offers increased transparency and control to users by enabling them to engage with the system through a real-time multi-turn dialogue. Recently, Large Language Models (LLMs) have exhibited an unprecedented ability to converse naturally and incorporate world knowledge and common-sense reasoning into language understanding, unlocking the potential of this paradigm. However, effectively leveraging LLMs within a CRS introduces new technical challenges, including properly understanding and controlling a complex conversation and retrieving from external sources of information. These issues are exacerbated by a large, evolving item corpus and a lack of conversational data for training. In this paper, we provide a roadmap for building an end-to-end large-scale CRS using LLMs. In particular, we propose new implementations for user preference understanding, flexible dialogue management and explainable recommendations as part of an integrated architecture powered by LLMs. For improved personalization, we describe how an LLM can consume interpretable natural language user profiles and use them to modulate session-level context. To overcome conversational data limitations in the absence of an existing production CRS, we propose techniques for building a controllable LLM-based user simulator to generate synthetic conversations. As a proof of concept we introduce RecLLM, a large-scale CRS for YouTube videos built on LaMDA, and demonstrate its fluency and diverse functionality through some illustrative example conversations

Designing organometallic compounds for catalysis and therapy

Bioorganometallic chemistry is a rapidly developing area of research. In recent years organometallic compounds have provided a rich platform for the design of effective catalysts, e.g. for olefin metathesis and transfer hydrogenation. Electronic and steric effects are used to control both the thermodynamics and kinetics of ligand substitution and redox reactions of metal ions, especially Ru II. Can similar features be incorporated into the design of targeted organometallic drugs? Such complexes offer potential for novel mechanisms of drug action through incorporation of outer-sphere recognition of targets and controlled activation features based on ligand substitution as well as metal- and ligand-based redox processes. We focus here on η 6-arene, η 5-cyclopentadienyl sandwich and half-sandwich complexes of Fe II, Ru II, Os II and Ir III with promising activity towards cancer, malaria, and other conditions. © 2012 The Royal Society of Chemistry

Redox-active and DNA-binding coordination complexes of clotrimazole

DNA interactions of anticancer mononuclear Cu2+, Co2+, Zn2+, and Ni2+ complexes with the biologically active ligand clotrimazole (clotri) are reported. To fully characterize DNA binding modes for these complexes of the formulae [M(clotri)2Cl2]·nH2O (1–4), [M(clotri)2Br2]·nH2O (5,6), [M(clotri)3NO3]NO3·nH2O (9), and [M(clotri)3(NO3)2] (10), circular dichroism (CD) and linear dichroism (LD) spectroscopy, UV melting experiments, atomic force microscopy (AFM) and ethidium bromide (EtBr) displacement methods were used. Results indicate mixed electrostatic interactions, possibly through groove binding, that result in accretion and coiling of DNA. Electrochemical studies indicate that the Cu2+ complex 9 readily reduces to the reactive-oxygen-species-generating Cu+, which oxidatively damages DNA. There is a subtle correlation between log P values, calculated electrostatic potentials, and cytotoxicity of the complexes. The extent of cell-nucleus DNA-metal adduct formation in the HeLa cervix-uterine carcinoma cell line does not necessarily correlate with cytotoxicity, indicating that the nature of DNA lesions may be crucial to activity