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This paper aims to explore the characteristics of playful literacies in case study research examining digital games in secondary English classrooms. It analyzes how educators use play as a resource for meaning-making and the impacts of play on student learning.

The authors used a keyword search in relevant academic databases to identify articles within specified search parameters. This was followed by bibliographic branching to identify additional articles. Following the identification of 30 articles, two rounds of open coding were used to identify themes for analysis.

The literature revealed five types of playful pedagogical practices: single-player gameplay, turn-taking gameplay, multiplayer play, play-as-design and little or no gameplay. Discussion of these findings suggests that classroom play was a highly social activity across case studies. Furthermore, boundaries between types of play and their contributions to learning were blurred and often disrupted normative approaches to curriculum and teaching.

Given the novelty of replacing traditional texts with digital games in English classrooms, this study represents an important moment to pause and review the literature to date on a particular, understudied aspect of digital games in English curricula: their playfulness. This is especially important given the innovative ways in which digital play can shift thinking about meaning-making and narrative, two historically dominant concerns within the discipline of English.

The purpose of this study is to examine the buyers’ preferences influencing the purchase of privately developed affordable housing in Kolkata and to determine whether unsold houses result from misalignment with these preferences.

The literature review and user-opinion survey identified 119 independent variables that indicate buyers’ preferences. A questionnaire survey of 383 households in affordable housing units from 32 housing complexes in Kolkata recorded buyers’ preferences and satisfaction against the independent variables grouped under five levels of characteristics. The product weights of variables derived from the rank sum method and percentage satisfaction give the Utility Score. Multivariate regression and univariate linear regressions were conducted to determine the significance of each Level of characteristics and each variable, identifying the significant variables that would affect the sale of affordable houses.

The multivariate regression analysis has indicated that 68.56% of the variation in the percentage of unsold houses was explained by the five utility scores, which affirms that misalignment with buyers’ preferences significantly affects the sale of privately developed affordable houses. Furthermore, building and neighbourhood-level utility show the highest significance as predictors, while city-level and miscellaneous utility have moderate significance, but housing complex-level utility lacks statistical significance.

This study addresses a research gap in privately developed affordable housing in Kolkata, enhancing understanding of buyer preferences in this segment.

Service robots are expected to become increasingly common, but the ways in which they can move around in an environment with humans, collect and store data about humans and share such data produce a potential for privacy violations. In human-to-human contexts, such violations are transgression of norms to which humans typically react negatively. This study examines if similar reactions occur when the transgressor is a robot. The main dependent variable was the overall evaluation of the robot.

Service robot privacy violations were manipulated in a between-subjects experiment in which a human user interacted with an embodied humanoid robot in an office environment.

The results show that the robot's violations of human privacy attenuated the overall evaluation of the robot and that this effect was sequentially mediated by perceived robot morality and perceived robot humanness. Given that a similar reaction pattern would be expected when humans violate other humans' privacy, the present study offers evidence in support of the notion that humanlike non-humans can elicit responses similar to those elicited by real humans.

The results imply that designers of service robots and managers in firms using such robots for providing service to employees should be concerned with restricting the potential for robots' privacy violation activities if the goal is to increase the acceptance of service robots in the habitat of humans.

To date, few empirical studies have examined reactions to service robots that violate privacy norms.