Identifying user experience dimensions for mobile incident reporting in urban contexts

International audienceDespite the increasing interests raised by incident reporting systems, it is still unclear what dimensions of user experience (UX) and other contextual factors should be taken into account for the various stages of declaring an incident using mobile-phone applications. Research questions: How do citizens perceive and describe urban incidents? What UX dimensions are important for reporting an incident with a mobile-phone application? What other (contextual) factors are important from the users' point of view when declaring incidents? Which of the UX dimensions and contextual factors are important when in the various phases during an incident declaration? Literature review: Overall, there is a lack of empirical research in the domain of incident reporting. In general, the UX dimensions—visual and aesthetic experience, emotion, stimulation, identification, meaning and value, and social relatedness/coexperience—are important when designing interactive systems. It also shows that incidents are related to the citizen's perception of the environment. Methodology: A triangulated method approach combining interviews, a survey of existing systems, and a model-based task analysis were applied. This allows us to present a generic task model for incident reporting with a detailed description of UX dimensions affected in the various subtasks. Results and conclusions: Our findings point out the effect of UX dimensions in the task engaged by users when reporting urban citizens. The overall UX is directly influenced by the perceived level of severity, inconvenience and involvement, the personal context, and the technological mobile context. We have found that while several UX dimensions are highly relevant, they are not equally distributed along the several subtasks that citizens engage when reporting incidents. This study shows that semistructured requirement interviews can provide information about UX dimensions and it highlights the importance of the identification of UX dimensions in early phases of the development process

Characterizing Incidents Reporting Systems across Applications Domains

International audienceIncident reporting is a very well-known technique in application domains such as air traffic management and health, where specialized users are trained to provide detailed information about problems. Incident reporting systems are indeed complex systems that include many actors including the users reporting incidents, user’s colleagues and neighbors, stakeholders, policymakers, systems integrations. Incident report systems might change (positively or negatively) the users’ environment in many ways. In recent years, this kind of technique has been also been used in crisis management such as the hurricane Katrina. However, despite the fact that incident reporting systems using mobile technology are becoming more common, little is known about its actual use by the general population and which factors affect the user experience when using such system. In this paper we discuss the use of incident reporting system in critical context of use. In this paper we discuss the use of incident reporting system in several application domains. In particular we report findings in terms of dimensions that are aimed to identify social and technical aspects that can affect the design, development and use of incident reporting systems

MASELTOV Deliverable Report 7.1.2: Incidental Learning Framework

This document describes progress in the development of an ‘Incidental Learning Framework’, building on the work reported in Deliverable D7.1.1, submitted July 2012. The goal of the Incidental Learning Framework (ILF) is to facilitate the creation of technology rich learning opportunities for immigrants within cities. The framework is a descriptive mechanism that permits analysis, and a generative tool to support software system design, and it facilitates the communication of learning design ideas both visually and textually. The framework focuses on incidental learning i.e. learning that is spontaneous and unplanned, in the knowledge domains of interest to the MASELTOV project including health care, culture, and language and information access. Its use should encourage links and triggers to structured and reflective learning to back up and deepen learning that happens incidentally. This document describes the Incidental Learning Framework developed for the MASELTOV project, presents a examples of its use, and describes some conclusions and recommendations for future work - Introduction - Purpose of the framework - Challenges with ILF from its initial conception - Work carried out developing ILF for use in the project --Literature --Alternative visualisations --Focus workshops in OU --Partner testing --Template for testing --Examples of the partners’ testing their tools against the template -Reporting on incidental learning reflections with language learning and serious games - Conclusions and recommendations It should be noted that this document is a high level review, identifying significant literature and the on-going development of the framework through dialogue with educational experts and MASELTOV partners. This document offers recommendations therefore in general terms. Decisions about the specific implementation of the learner’s journey as framed by an incidental learning approach will be made in coordination with technical partners as the dialogue progresses

Tasks Model Composition : beyond data, representing user activities

International audienceThe aim of this paper is to illustrate, by way of a few case studies, the value of model-based task analysis in interaction and design specification of Web mashups. Task analysis is recognized as one fundamental way to focus on the specific user needs and to improve the general understanding of how users may interact with a user interface to accomplish a given goal when using an interactive system. It is argued that some of current challenges to the design and development of Web mashups are commonplace when building task models. So that, in some extension, model-based task analysis can help designers of Web mashups to better understand and describe users’ tasks for combining data sources. The cases studies presented hereafter focused on tasks carried out by both developers and end-users of Web mahsups. More than simple illustrations, all cases studies are issued from real life applications

Include 2011 : The role of inclusive design in making social innovation happen.

Include is the biennial conference held at the RCA and hosted by the Helen Hamlyn Centre for Design. The event is directed by Jo-Anne Bichard and attracts an international delegation

Road User Charging – Pricing Structures.

This project considers the extent to which the public could cope with complex price or tariff structures such as those that might be considered in the context of a national congestion pricing scheme. The key elements of the brief were: • to review existing studies of road pricing schemes to assess what information and evidence already exists on the key issues; • to identify what can be learned about pricing structures from other transport modes and other industries and in particular what issues and conclusions might be transferable; • to improve the general understanding of the relationship between information and people’s ability to respond; and • to recommend what further research would be most valuable to fill evidence gaps and enable conclusions to be drawn about an effective structure

An investigation into the role of crowdsourcing in generating information for flood risk management

Flooding is a major global hazard whose management relies on an accurate understanding of its risks. Crowdsourcing represents a major opportunity for supporting flood risk management as members of the public are highly capable of producing useful flood information. This thesis explores a wide range of issues related to flood crowdsourcing using an interdisciplinary approach. Through an examination of 31 different projects a flood crowdsourcing typology was developed. This identified five key types of flood crowdsourcing: i) Incident Reporting, ii) Media Engagement, iii) Collaborative Mapping, iv) Online Volunteering and v) Passive VGI. These represent a wide range of initiatives with radically different aims, objectives, datasets and relationships with volunteers. Online Volunteering was explored in greater detail using Tomnod as a case study. This is a micro-tasking platform in which volunteers analyse satellite imagery to support disaster response. Volunteer motivations for participating on Tomnod were found to be largely altruistic. Demographics of participants were significant, with retirement, disability or long-term health problems identified as major drivers for participation. Many participants emphasised that effective communication between volunteers and the site owner is strongly linked to their appreciation of the platform. In addition, the feedback on the quality and impact of their contributions was found to be crucial in maintaining interest. Through an examination of their contributions, volunteers were found to be able to ascertain with a higher degree of accuracy, many features in satellite imagery which supervised image classification struggled to identify. This was more pronounced in poorer quality imagery where image classification had a very low accuracy. However, supervised classification was found to be far more systematic and succeeded in identifying impacts in many regions which were missed by volunteers. The efficacy of using crowdsourcing for flood risk management was explored further through the iterative development of a Collaborative Mapping web-platform called Floodcrowd. Through interviews and focus groups, stakeholders from the public and private sector expressed an interest in crowdsourcing as a tool for supporting flood risk management. Types of data which stakeholders are particularly interested in with regards to crowdsourcing differ between organisations. Yet, they typically include flood depths, photos, timeframes of events and historical background information. Through engagement activities, many citizens were found to be able and motivated to share such observations. Yet, motivations were strongly affected by the level of attention their contributions receive from authorities. This presents many opportunities as well as challenges for ensuring that the future of flood crowdsourcing improves flood risk management and does not damage stakeholder relationships with participants

Crowd-sensing our Smart Cities: a Platform for Noise Monitoring and Acoustic Urban Planning

Environmental pollution and the corresponding control measurements put in place to tackle it play a significant role in determining the actual quality of life in modern cities. Amongst the several pollutant that have to be faced on a daily basis, urban noise represent one of the most widely known for its already ascertained health-related issues. However, no systematic noise management and control activities are performed in the majority of European cities due to a series of limiting factors (e.g., expensive monitoring equipment, few available technician, scarce awareness of the problem in city managers). The recent advances in the Smart City model, which is being progressively adopted in many cities, nowadays offer multiple possibilities to improve the effectiveness in this area. The Mobile Crowd Sensing paradigm allows collecting data streams from smartphone built-in sensors on large geographical scales at no cost and without involving expert data captors, provided that an adequate IT infrastructure has been implemented to manage properly the gathered measurements. In this paper, we present an improved version of a MCS-based platform, named City Soundscape, which allows exploiting any Android-based device as a portable acoustic monitoring station and that offers city managers an effective and straightforward tool for planning Noise Reduction Interventions (NRIs) within their cities. The platform also now offers a new logical microservices architecture

Generation Y: evaluating services experiences through mobile ethnography

Purpose: This paper suggests mobile ethnography as a method for data collection, where Generation Y customers are integrated as active investigators. The paper aims to contribute to the debate on museums as experience-centred places, to understanding how the experience is perceived by Generation Y, to identifying the customer journey, to providing an insight into service experience consumption and to deriving managerial implication for the museum industry of how to approach Generation Y. Design/methodology/approach: Mobile ethnography is applied to the National Museum of Australia in Canberra with a sample of Generation Y visitors as the future visitor market. Findings: The paper finds that there is a need to involve museum management in measuring museum experiences, especially with regard to the definition and improvement of the service-delivery processes. Service experience must be appropriately managed by museum operators by collecting, evaluating, storing and reusing relevant data on customer experience. Mobile ethnography and tools such as MyServiceFellow offer an important potential source of sustainable competitive advantage by improving customer experience, particularly for Gen Y. Research limitations/implications: The most significant limitation is the exploratory nature of the single case study derived from a small sample within only one museum. Originality/value: This is one of the few studies to have addressed mobile ethnography in a service context and examined the museum experience of Generation Y. The paper finds that there is a need to involve museum management in service design to improve the service-delivery process, especially with regard to the different mindsets of the Millennials