scholarly journals 5. Creating Stealth Game Interventions for Attitude and Behavior Change : An ‘Embedded Design’ Model

2021 ◽  
pp. 73-90
Author(s):  
Geoff Kaufman ◽  
Mary Flanagan ◽  
Max Seidman
Author(s):  
Geoff Kaufman ◽  
Mary Flanagan ◽  
Max Seidman

The chapter will open with examples of transformational games that utilize overt, explicit approaches to attitude and behavior change. While acknowledging the worthwhile intentions of such games and their potential utility for triggering reflection and action, this overview will present the central premise of the chapter: that there are a number of fundamental reasons why explicit approaches can backfire or be of limited utility for persuasion and that the use of more implicit, covert approaches to persuasion can be more effective. The ‘embedded design’ model presented in this chapter is particularly relevant for games attempting to engage players with sensitive or potentially threatening topics or to address attitudes or behaviors that themselves are implicit or unconscious.


Author(s):  
Geoff Kaufman ◽  
Mary Flanagan ◽  
Max Seidman

Persuasive games tackling serious issues in a literal, explicit fashion are far less likely to succeed in changing attitudes or behaviors than are games that take the more “stealthy” approach of embedding persuasive messages within a game’s content or context. The “Embedded Design” model, developed by the design and research team at Tiltfactor Laboratory at Dartmouth College, offers novel, evidence-based strategies for including persuasive content in a game in ways that circumvent players’ psychological defenses, triggering a more receptive mindset for internalizing a game’s intended message, and do so without sacrificing players’ enjoyment or the game’s inherent replayability. Such techniques promise to revolutionize the repertoire of techniques that game developers should consider in broaching and presenting serious topics in games. Three original “Embedded Design” strategies are presented here: (1) Intermixing: balancing “on-message” and “off-message” content to render the former less overt or threatening; (2) Obfuscating: using framing devices or genres that divert expectations or focus away from the game’s persuasive intent; and (3) Distancing: employing fiction and metaphor to increase the psychological gap between players’ identities and beliefs, and the game’s characters and persuasive content.


1974 ◽  
Vol 19 (4) ◽  
pp. 334-334
Author(s):  
ROBERT C. CARSON
Keyword(s):  

2013 ◽  
Author(s):  
Melanie D. Hingle ◽  
Aimee Snyder ◽  
Naja McKenzie ◽  
Cynthia Thomson ◽  
Robert A. Logan ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Evans K. Lodge ◽  
Annakate M. Schatz ◽  
John M. Drake

Abstract Background During outbreaks of emerging and re-emerging infections, the lack of effective drugs and vaccines increases reliance on non-pharmacologic public health interventions and behavior change to limit human-to-human transmission. Interventions that increase the speed with which infected individuals remove themselves from the susceptible population are paramount, particularly isolation and hospitalization. Ebola virus disease (EVD), Severe Acute Respiratory Syndrome (SARS), and Middle East Respiratory Syndrome (MERS) are zoonotic viruses that have caused significant recent outbreaks with sustained human-to-human transmission. Methods This investigation quantified changing mean removal rates (MRR) and days from symptom onset to hospitalization (DSOH) of infected individuals from the population in seven different outbreaks of EVD, SARS, and MERS, to test for statistically significant differences in these metrics between outbreaks. Results We found that epidemic week and viral serial interval were correlated with the speed with which populations developed and maintained health behaviors in each outbreak. Conclusions These findings highlight intrinsic population-level changes in isolation rates in multiple epidemics of three zoonotic infections with established human-to-human transmission and significant morbidity and mortality. These data are particularly useful for disease modelers seeking to forecast the spread of emerging pathogens.


Author(s):  
Silvia Torsi ◽  
Cristina Rebek ◽  
Benedetta Giunchiglia ◽  
Fausto Giunchgilia
Keyword(s):  

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