Evaluation of the game development process of a location-based mobile game

There is a growing interest of government bodies and NGOs in using (serious) video games in awareness campaigns. Until now, however, little was known on how to set up such a campaign so as to effectively cater to the needs of different stakeholders including the target audience. Hence designing, developing and translating a game for educational purposes whilst balancing between fun and learning is a complex process, this paper aims to evaluate this by presenting a methodological framework for involving stakeholders in the design and development of a game-based awareness campaign based on a user-centered software design methodology and assesses its effectiveness in a concrete use case: the development of the location-based mobile game City Jam. The goal was to develop a game-based road safety campaign to confront adolescents with road traffic situations with the aim to positively influence road safety attitude and behavior. Mobile technologies offer new opportunities to embed digital game based learning by in different contexts. Given the nature of the road safety campaign, a location-based game format was chosen, aiming to facilitate learning by means of an extended three-way interaction (human interaction, game and context). Different user-centered design methods were deployed throughout several phases of the game development process: In phase one (the opportunity identification) a literature review was performed to investigate relevant fields for the game’s goal. In phase two (the game concept development) expert interviews and a focus groups were conducted with relevant stakeholders and in phase three (the game concept design) co-design sessions and a focus group resulted in a game design document. In phase four (game development and testing) the beta version of City jam was developed and tested in an iterative field testing design and resulted in the final game. Results obtained throughout the game development process provided us the opportunity to evaluate several major aspects. Firstly the impact of stakeholder involvement on the different phases of the design process and the final product resulted in a game that was tailored to the preferences and needs of the target group. Secondly translating the game concept into practice, such as game elements, proposed educational game elements, were evaluated based on the usability, playability principles and social and technological aspects. Benefits and challenges of user-centered design methods are discussed and how budget constraints and differing desired outcomes of different stakeholders challenge but also enrich the process

A New ‘Idea of Nature’ for Chemical Education

This paper recommends that chemistry educators shift to a different ‘idea of nature’, an alternative ‘worldview.’ Much of contemporary science and technology deals in one way or another with dynamic coherences that display novel and important properties. The notion of how the world works that such studies and practices generate (and require) is quite different from the earlier concepts that are now integrated into science education. Eventual success in meeting contemporary technological and social challenges requires general diffusion of an overall outlook that focuses on creative generation of novel and useful coherences, replacing a worldview that concentrates on analysis of pre-existing items to minimum constituents. Such a shift in emphasis would amount to general adoption of a new basic model of how nature functions. Chemistry educators can and should provide leadership for this urgently-needed development

Solving Common-Payoff Games with Approximate Policy Iteration

For artificially intelligent learning systems to have widespread applicability in real-world settings, it is important that they be able to operate decentrally. Unfortunately, decentralized control is difficult -- computing even an epsilon-optimal joint policy is a NEXP complete problem. Nevertheless, a recently rediscovered insight -- that a team of agents can coordinate via common knowledge -- has given rise to algorithms capable of finding optimal joint policies in small common-payoff games. The Bayesian action decoder (BAD) leverages this insight and deep reinforcement learning to scale to games as large as two-player Hanabi. However, the approximations it uses to do so prevent it from discovering optimal joint policies even in games small enough to brute force optimal solutions. This work proposes CAPI, a novel algorithm which, like BAD, combines common knowledge with deep reinforcement learning. However, unlike BAD, CAPI prioritizes the propensity to discover optimal joint policies over scalability. While this choice precludes CAPI from scaling to games as large as Hanabi, empirical results demonstrate that, on the games to which CAPI does scale, it is capable of discovering optimal joint policies even when other modern multi-agent reinforcement learning algorithms are unable to do so. Code is available at https://github.com/ssokota/capi .Comment: AAAI 202

Networked Individualism of Urban Residents: Discovering the Communicative Ecology in Inner-City Apartment Buildings

Certain patterns of interaction between people point to networks as an adequate conceptual model to characterise some aspects of social relationships mediated or facilitated by information and communication technology. Wellman proposes a shift from groups to networks and describes the ambivalent nature inherent in an ego-centric yet still well-connected portfolio of sociability with the term ‘networked individualism’. In this paper we use qualitative data from an action research study of social networks of residents in three inner-city apartment buildings in Australia to provide empirical grounding for the theoretical concept of networked individualism. However, this model focuses on network interaction rather than collective interaction. We propose ‘communicative ecology’ as a concept which integrates the three dimensions of "online and offline", "global and local" as well as "collective and networked". We present our research on three layers of interpretation (technical, social and discursive) to deliver a rich description of the communicative ecology we found, that is, the way residents negotiate membership, trust, privacy, reciprocity, permeability and social roles in person-to-person mediated and direct relationships. We find that residents seamlessly traverse between online and offline communication; local communication and interaction maintains a more prominent position than global or geographically dispersed communication; and residents follow a dual approach which allows them to switch between collective and networked interaction depending on purpose and context

The Impact of User Interface Design on Idea Integration in Electronic Brainstorming: An Attention-Based View

This paper introduces an attention-based view of idea integration that underscores the importance of IS user interface design. The assumption is that presenting ideas via user interface plays a key role in enabling and motivating idea integration in electronic brainstorming (EBS), and thus advances productivity. Building upon Cognitive Network Model of Creativity and ability-motivation framework, our attention-based theory focuses on two major attributes of user interface: visibility and prioritization. While visibility enables idea integration via directing attention to a limited set of ideas, prioritization enhances the motivation for idea integration by providing individuals with a relevant and legitimate proxy for value of the shared ideas. The theory developed in this paper is distinct from previous research on EBS in at least two ways: (1) this theory exclusively focuses on idea integration as the desired outcome and studies it in the context of IS user interface; and (2) rather than debating whether or not EBS universally outperforms verbal brainstorming, the proposed theory revisits the links between user interface and idea integration as an attention-intensive process that contributes to EBS productivity. Idea integration by individuals within a group is an essential process for organizational creativity and thus for establishing knowledge-based capabilities. Lack of such integration significantly reduces the value of idea sharing, which has been a predominant focus of the EBS literature in the past. The current theory posits that the ability of electronic brain-storming to outperform nominal or verbal brainstorming depends on its ability to leverage information system (IS) artifact capabilities for enhancing idea integration to create a key pattern of productivity. The developed theory provides a foundation for new approaches to EBS research and design, which use visibility and prioritization, and also identify new user interface features for fostering idea integration. By emphasizing idea integration, designers and managers are provided with practical, cognition-based criteria for choosing interface features, which can improve EBS productivity. This theory also has implications for both the practice and research of knowledge management, especially for the attention-based view of the organization.

How to Ask for Technical Help? Evidence-based Guidelines for Writing Questions on Stack Overflow

Context: The success of Stack Overflow and other community-based question-and-answer (Q&A) sites depends mainly on the will of their members to answer others' questions. In fact, when formulating requests on Q&A sites, we are not simply seeking for information. Instead, we are also asking for other people's help and feedback. Understanding the dynamics of the participation in Q&A communities is essential to improve the value of crowdsourced knowledge. Objective: In this paper, we investigate how information seekers can increase the chance of eliciting a successful answer to their questions on Stack Overflow by focusing on the following actionable factors: affect, presentation quality, and time. Method: We develop a conceptual framework of factors potentially influencing the success of questions in Stack Overflow. We quantitatively analyze a set of over 87K questions from the official Stack Overflow dump to assess the impact of actionable factors on the success of technical requests. The information seeker reputation is included as a control factor. Furthermore, to understand the role played by affective states in the success of questions, we qualitatively analyze questions containing positive and negative emotions. Finally, a survey is conducted to understand how Stack Overflow users perceive the guideline suggestions for writing questions. Results: We found that regardless of user reputation, successful questions are short, contain code snippets, and do not abuse with uppercase characters. As regards affect, successful questions adopt a neutral emotional style. Conclusion: We provide evidence-based guidelines for writing effective questions on Stack Overflow that software engineers can follow to increase the chance of getting technical help. As for the role of affect, we empirically confirmed community guidelines that suggest avoiding rudeness in question writing.Comment: Preprint, to appear in Information and Software Technolog