Gamification of E-Participation: A Literature Review

Gamification is one of the most commonly employed approaches for motivating individuals to participate in several types of activities. One of its largest application areas has been e-participation (i.e. citizen engagement in policy-making). Even though the required ICT infrastructure to facilitate e- participation mostly exists today, the focus of the problem has shifted towards humans; citizens are not motivated enough to participate. Gamification is a potential approach to increase motivation towards e- participation. However, currently there is a dearth in our understanding of how gamification is being applied and researched as well as what kinds of result there exist from gamification. The aim of this paper is to synthesize research and findings on gamified e-participation, providing directions for future research in this area

HUMAN-AI COLLABORATION IN ORGANISATIONS: A LITERATURE REVIEW ON ENABLING VALUE CREATION

The augmentation of human intellect and capability with artificial intelligence is integral to the advancement of next generation human-machine collaboration technologies designed to drive performance improvement and innovation. Yet we have limited understanding of how organisations can translate this potential into creating sustainable business value. We conduct an in-depth literature review of interdisciplinary research on the challenges and opportunities in organisational adoption of human-AI collaboration for value creation. We identify five positions central to how organisations can integrate and align the socio-technical challenges of augmented collaboration, namely strategic positioning, human engagement, organisational evolution, technology development and intelligence building. We synthesise the findings by means of an integrated model that focuses organisations on building the requisite internal microfoundations for the systematic management of augmented systems

Introduction to Gamification Minitrack

N/

Five-Factor Inventory of Intrinsic Motivations to Gameplay (IMG)

In this study, we develop and validate Intrinsic Motivations to Gameplay (IMG) inventory. In Study 1, psychometric properties of a preliminary 10-item version of IMG were investigated by employing an online survey data collected among Finnish and Danish population (N = 2,205). In Study 2, a 23-item version of IMG was developed based on further interview data and survey data collected among Canadian population (N = 1,322). The 23-item version of IMG revealed five factors of intrinsic motivations for gameplay: Relatedness, Autonomy, Competence, Immersion, and Fun. In Study 3, a third survey was conducted among Finnish and Japanese participants (N = 2,057) to design a Self-Determination theory (SDT) informed confirmatory factor analysis (CFA). The CFA validated a 15-item version of IMG inventory, which can be utilized widely in studies on digital gaming and gamification to better understand player preferences

Game-Based Approaches to Enhancing Public Understanding of Science: A Descriptive Literature Review

With prominent looming global issues such as climate change and COVID-19, public understanding of science (PUS) is increasingly perceived to be vital for humanity to address and adapt to global wicked challenges. Compared to conventional approaches that struggle with public engagement, games can potentially remedy this by proactively engaging players towards more fruitful performance in and outside games. While the employment of game-based approaches in pedagogy in general is not a new development, gamifying PUS has only recently grown to relative prominence for its superiority in engaging the public with active science-derived interpretation, deliberation, and consequent action. To understand the state-of-the-art of this field, we conduct a systematic descriptive literature review of the extant corpus. We reviewed 29 papers and investigated their types of interventions, contexts, populations, and outcomes. The results overall indicate diverse yet imbalanced research focuses thus far, for which we discuss implications for future research