Proposition d'un modèle de processus pour les affichages publics adaptatifs supportant la participation citoyenne

National audienceIn recent years, public displays have been studied as a way to foster citizen participation. However, their surroundings and users are prone to high variability, which makes it tedious to accommodate different contexts with an optimal participation experience. In this paper, we propose adaptive public displays as a lead for solution in tackling this issue. From a review of the motivators and barriers affecting citizen's interaction with public displays we defined a process model destined to serve as a guide for designers of such systems.Au cours des dernières années, les affichages publics ont été étudiés comme moyen d'encourager la participation citoyenne. Cependant, leur environnement et leurs utilisateurs sont sujets à une grande variabilité, ce qui rend fastidieuse l'adaptation à différents contextes en conservant une expérience de participation optimale. Dans cet article, nous proposons les affichages publics adaptatifs comme piste de solution à ce problème. A partir d'une revue des motivations et des barrières qui affectent l'interaction des citoyens avec les affichages publics, nous avons défini un modèle de processus destiné à servir de guide aux concepteurs de tels systèmes

Sens-Us: Designing Innovative Civic Technology for the Public Good

How can civic technology be designed to encourage more public engagement? What new methods of data collection and sharing can be used to engender a different relationship between citizens and the state? One approach has been to design physical systems that draw people in and which they can trust, leading them to give their views, opinions or other data. So far, they have been largely used to elicit feedback or votes for one or two questions about a given topic. Here, we describe a physical system, called Sens-Us, which was designed to ask a range of questions about personal and sensitive information, within the context of rethinking the UK Census. An in-the-wild study of its deployment in a city cultural center showed how a diversity of people approached, answered and compared the data that had been collected about themselves with others. We discuss the findings in relation to the pros and cons of using this kind of innovative technology when wanting to promote civic engagement or other forms of public engagement

"Fun place within a serious space”: stimulating community interaction and engagement through situated snapshots In a university setting

Networked public displays can stimulate interaction between members of place-based communities, e.g., through situated snapshots – photos taken through a display attached camera. Previous work pointed the need for deploying networked public display applications in various settings in order to make the findings transferable and generalizable and recommends that findings should be connected with research from community psychology. In this paper we report a 15-week “in the wild” deployment of the Moment Machine 2.0 that allowed taking situated snapshots at a university. The application’s evaluation involved in-depth interviews (n=20), survey (n=119), and log file analysis. We synthesize our findings with prior work and show how certain effects transfer across settings. We show how the application affected community interaction and sense of community as defined by McMillan and Chavis. We provide implications for design of similar experiences. Overall, our work contributes to the general knowledge of common effects produced by public displays

Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data

The meteoric rise in the popularity of public engagement platforms such as social media, customer review websites, and public input solicitation efforts strives for establishing an inclusive environment for the public to share their thoughts, ideas, opinions, and experiences. Many decisions made at a personal, local, or national scale are often fueled by data generated by the public. As such, inclusive collection, analysis, sensemaking, and utilization of pubic-generated data are crucial to support the exercise of successful decision-making processes. However, people often struggle to engage, participate, and share their opinions due to inaccessibility, the rigidity of traditional public engagement methods, and the lack of options to provide opinions while avoiding potential confrontations. Concurrently, data analysts and decision-makers grapple with the challenges of analyzing, sensemaking, and making informed decisions based on public-generated data, which includes high dimensionality, ambiguity present in human language, and a lack of tools and techniques catered to their needs. Novel technological interventions are therefore necessary to enable the public to share their input without barriers and allow decision-makers to capture, forage, peruse, and sublimate public-generated data into concrete and actionable insights. The goal of this dissertation is to demonstrate how human-centered approaches involve the stakeholders in the design, development, and evaluation of tools and techniques that can lead to inclusive, effective, and efficient approaches to public-generated data collection and analysis to support informed decision-making. To that end, in this dissertation, I first addressed the challenges of empowering the public to share their opinions by exploring two major opinion-sharing avenues --- social media and public consultation. To learn more about people\u27s social media experiences and challenges, I built two technology probes and conducted a qualitative exploratory study with 16 participants. This study is followed up by exploring the challenges of inclusive participation during public consultations such as town halls. Based on a formative study with 66 participants and 20 organizers, I designed and developed CommunityClick to enable reticent share their opinions silently and anonymously during town halls. Equipped with the knowledge and experiences from these works, I designed, developed, and evaluated technologies and methods to facilitate and accelerate informed data-driven decision-making based on increased public-generated data. Based on interviews with 14 analysts and decision-makers in the civic domain, I built a visual analytics system CommunityClick that can facilitate public input analysis by surfacing hidden insights, people\u27s reflections, and priorities. Leveraging the lessons learned during this work, I created a visual text analytics system that supports serendipitous discovery and balanced analysis of textual data to help make informed decisions. In this work, I contribute an understanding of how people collect and analyze public-generated data to fuel their decisions when they have increased exposure to alternative avenues for opinion-sharing. Through a series of human-centered studies, I highlight the challenges that inhibit inclusivity in opinion sharing and shortcomings of existing methods that prevent decision-makers to account for comprehensive public input that includes marginalized or unpopular opinions. To address these challenges, I designed, developed, and evaluated a collection of interactive systems including CommunityClick, CommunityPulse, and Serendyze. Through a rigorous set of evaluation strategies which include creativity sessions, controlled lab studies, in-the-wild deployment, and field experiments, I involved stakeholders to assess the effectiveness and utility of the built systems. Through the empirical evidence from these studies, I demonstrate how alternative designs for social media could enhance people\u27s social media experiences and enable them to make new connections with others to share opinions. In addition, I show how CommunityClick can be utilized to enable reticent attendees during public consultation to share their opinions while avoiding unwanted confrontation and allowing organizers to capture and account for silent feedback. I highlight how CommunityPulse allowed analysts and decision-makers to examine public input from multiple angles for an accelerated analysis and more informed decision-making. Furthermore, I demonstrate how supporting serendipitous discovery and balanced analysis using Serendyze can lead to more informed data-driven decision-making. I conclude the dissertation with a discussion on future avenues to expand this research including the facilitation of multi-user collaborative analysis, integration of multi-modal signals in the analysis of public-generated data, and potential adoption strategies for decision-support systems designed for inclusive collection and analysis of public-generated data

Careers 2020: options for future careers work in English schools.

Careers work in English schools has endured much turbulence recently. The government has now established a statutory duty on schools to secure provision, placing commissioning of careers advice and guidance in the hands of schools rather than local authorities or central government. But the duty is framed very loosely, comes with no funding and offers no clear model of provision. The previous funding for face-to-face guidance from qualified careers advisers has been removed, as has the duty for schools to provide careers education. So what should schools’ careers offers look like in future? How can schools ensure the quality of the career development support that is so vital for young people, and particularly so for those who cannot rely on their existing networks for advice and opportunities?Pearson Think Tan

Enriching E-Participation through Augmented Reality: First Results of a Qualitative Study

Recent disputes over public construction projects show that the public is interested in urban development. When construction projects lack communication about its impact, agenda and costs, citizens might feel overheard and protests may arise. As a consequence, trust in public administration and politics could suffer serious damage. Following the idea of digital government, it is crucial not only to replicate and digitize established participation procedures, but rather to include new possibilities that e-participation offers. In this article, we present preliminary results of a qualitative study on using augmented reality for e-participation. Based on the study’s results, we derive metarequirements for an e-participation application employing this technology. Interestingly, our empirical findings suggest that users only seek information via the application up to a certain level of participation

Interpretation, meaning-making, and civic engagement at Little Rock Central High School National Historic Site

Using qualitative methodology, this study investigated interpretation, meaning-making, and civic engagement at Little Rock Central High School National Historic Site. Based upon constructivist learning theory, the research focused on eight research questions including: 1) What memories do visitors recall from their visit to CHSNHS? 2) What kind of knowledge do visitors remember? 3) Are visitors making meaningful connections to the resource? 4) What meanings are visitors making? 5) How are the meanings made? 6) Are these meanings connected to civic engagement? 7) What types of citizens are visitors to Central High School NHS? 8) Longitudinal changes in knowledge, meaningful connections, and how meanings were constructed?;Visitors exhibited four types of memories: declarative, experiential, episodic and structural, and five different types of knowledge: declarative, experiential, episodic, structural and socio-cultural. Visitors made meaningful connections which were cognitive and emotional, which were both positive and negative, and these meanings were made through evaluation, establishment, personal experience, absolute description, and special knowledge. Visitors participated in various community activities, but their knowledge and feeling about the site did not translate into action. There were six passive citizens, seven active, and four civically engaged citizens. Longitudinally, there were increases in types of knowledge, changes in meaningful connections, and differences in how meanings were made. Future research should focus on the role of churches in civic engagement and conversations with others when investigating interpretation, meaning-making, and civic engagement