Exploring the Roles of Technology and Social Play in Art Museums

This co-written chapter was included in an edited book featuring invited authors from different countries and different areas of museum research and practice. The chapter uses a theory of play by Johan Huizinga (1938) to frame case studies of play-based interactive experiences in museums in various countries. The aim was to use theory to ground museum practice, in order to evaluate existing practical implementations as well as to inform the design of new ones. The book was nominated as one of the 10 best museum education books of 2011 by Museum Education Monitor, and the chapter led to a subsequent technology residency the author undertook in the Spike Island gallery, Bristol in 2012, funded by the National Endowment for Science, Technology and the Arts, Arts and Humanities Research Council and Arts Council England. It also informed his subsequent postgraduate teaching, an example of which is a recent MA project, which deconstructs play from a computational perspective. Collaborations have continued with the co-author, which have resulted in a number of invited lectures. In this chapter the authors explore play as a structure for supporting visitor learning, drawing from international research in museums and interaction design. Four aspects of play first proposed by Huizinga are explored – the free-choice aspect of play, play as distinct from real life, play as an ordering structure, and the role of play in bridging communities. The chapter argues that play provides museums with ready-made structures and concepts, which can help planning for visitor learning. The research was equally divided between the co-authors, who developed the conceptual and theoretical aspects of the article by drawing on their own research alongside key examples of museum design and digital media.

Exploring problem-framing through behavioural heuristics

Design for behaviour change aims to influence user behaviour, through design, for social or environmental benefit. Understanding and modelling human behaviour has thus come within the scope of designers’work, as in interaction design, service design and user experience design more generally. Diverse approaches to how to model users when seeking to influence behaviour can result in many possible strategies, but a major challenge for the field is matching appropriate design strategies to particular behaviours (Zachrisson & Boks, 2012). In this paper, we introduce and explore behavioural heuristics as a way of framing problem-solution pairs (Dorst & Cross, 2001) in terms of simple rules. These act as a ‘common language’ between insights from user research and design principles and techniques, and draw on ideas from human factors, behavioural economics, and decision research. We introduce the process via a case study on interaction with office heating systems, based on interviews with 16 people. This is followed by worked examples in the ‘other direction’, based on a workshop held at the Interaction ’12 conference, extracting heuristics from existing systems designed to influence user behaviour, to illustrate both ends of a possible design process using heuristics.