The Pause Project partnership Game Proposal Document
Notes on Game Play Mechanics
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- Potential Game Play Schematics
- Interactive Exploratory Simulation
- Potential Game Dialogue Systems
- The Hub and Spoke Dialogue System
- Rationale for Hub and Spoke – Social Learning Theory
- Potential Implementation of Hub and Spoke – Mass Effect Style Paraphrasing
Notes on Game Play Mechanics
It is envisaged that machinima could be used in the following methods:
Division of the potential multiplayer deliverable aspect of the project is a direct reflection of both potential usage limitations (e.g. institutional security restrictions) and available project resource. Provision should be gifted for future expansion of the developed product to reflect the secondary deliverable. It should be noted that in order to facilitate this capability it is likely that the defined environmental usage contexts (e.g. libraries and or educational centres/ institutions) will likely need to facilitate any multiplayer connectivity via the derestriction of firewall/ports etc. Suggested method for the implementation of this product functionality is the use of UDP for computer to computer and/or mobile (potentially) communication. Suggestion has been made by the project consortium that the multiplayer aspect of the project deliverable should facilitate co-operative play: a pre-defined number of players work together to solve a common problem while resolving conflicts which are thrown up by the interaction of the individual game aims (see below). Gameplay is simultaneous. Scoring and journaling are implemented at both the individual and team levels. Whilst co-operative play is an excellent idea that would probably have the greatest impact in the context of the software objectives it would also be the most expensive in terms of development and/or project resource. Potential Game Play SchematicsDual Simulation ExperienceSuggestion has been made by the project partner consortium that the developed software enables a user to experience a defined scenario from multiple perspectives as described and/or divided by the primary user role i.e. in the context of the Job Centre scenario roles could be that of either a migrant/refugee and also a member of Job Centre staff. This would allow both sides of the target demographic divides to experience the same scenario from each perspective, thus providing insight and or experience of the opposing party viewpoint and or feelings surrounding the defined scenario i.e. job interview and/or meeting etc. Interactive Exploratory SimulationDevelopment of an exploratory environment that would allow the player to interact in a manner akin to that of real world interaction scenarios would allow the user to experience potential events that could occur in the real world context thus equipping and/or preparing them for such experiences. The undertaking of these scenarios in a manner that facilitates reflection of their interpretation via both sides of the demographic divide could act to inform the participant as to the nature of attitude and/or opposed activity during these scenarios. Potential Game Dialogue SystemsThe Investigation if potential games dialogue systems has identified several potential methods for facilitating dialogue interaction as used in contemporary game play. In summary these are:
More information in reflection of and a full breakdown of the potential dialogue systems can be found at the following URL: http://www.gamasutra.com/view/feature/3719/defining_dialogue_systems.php Investigation of the schemas in reflection of the data collated via WP2/3 suggests that the development of a Hub-and-Spokes system could be used to great effect to facilitate the application of a Social Learning Model for the change of attitudes.
Through processes such as observation, vicarious experience (experience gained by observing another) and social interaction, one can acquire the behaviours or expertise mediated through a human social model. Social learning theory is based on the premise that observation and imitation by an individual leads to learned behaviour. Research in this area indicates that, indeed, human social models can be effective in influencing another to change behaviours, beliefs or attitudes, as well as social and cognitive functioning (e.g. Gredler). Further research such as that conducted by Baylor (2010) has provided evidence that humans can be socially influenced by automated anthropomorphic agents (avatars) just as they would be by human social models. the theory seeks to explain learning in a naturalistic setting as opposed to laboratory or contrived setting and takes into account that learners can abstract a range of information from the behaviours of others and that learners can then make decisions about which behaviours to adopt and which to ignore or not adopt. Bandura himself notes that learners may acquire internal codes of behaviour that they “may or may not” perform later based on the observation. Learning is defined as the acquisition of symbolic representations in the form of verbal or visual codes that serve as guidelines for future behaviour. In other words, learners observe others, figure out what works or not and then behave in a similar situation based on those internally formed guidelines. In social-cognitive theory, the essential components of learning are:
The learner witnesses the behaviour occurring, and witnesses the behaviour being reinforced and then develops internal guidelines based on their interpretation of the correct or desired behaviours. The assumptions that support the principles of social-cognitive theory are:
To teach using the model, the components of instruction would be to:
Potential Implementation of Hub and Spoke – Mass Effect Style ParaphrasingInvestigation of Hub-and-Spoke systems has identified potential for a system be developed that reflects the implementation of that found in the Bioware Mass Effect trilogy. The aforementioned url source also details in reflection of Hub-and-Spoke: Most conversations in Mass Effect and other BioWare titles take this form, with occasional basic Branching Dialogue implemented when the player has to make an important decision that may affect quest outcomes or the NPC's disposition towards the player. Hub-and-Spokes Dialogue gives the player more freedom and control over conversation and often allows them to interrogate NPCs to find out every last piece of information about them. However, this method of dialogue tends to create conversations strongly divorced from reality. The NPC usually has infinite patience for the player's strange inquisitions, and every dialogue plays out like an interrogation as the player keeps pressing the NPC for info. Furthermore, the player hears a lot of the same lines over and over as he navigates between hubs, potentially breaking immersion. As can be seen however there are limitations to this system and suggestion is made to modify the core construct of the method to account for the described issues. Implementation of the system in conjunction with an Intelligent Agent (IA) could provide one potential means of combating artefacts such as linearity and/or abstraction. However it is envisaged that a blend of IA and HAS would facilitate more than adequate realism and non-linear interaction with none player characters. Both systems could be used to impart information together and/or individually dependant on simulation context e.g.
In the scenarios where IA is not used conversation would be developed to utilise a branching dialogue with avenues triggered via consequence. The advantage of the paraphrasing system is that within a game-play context the player is constantly required to think about their response and reflect on previous responses and/or provided information. For example http://masseffect.wikia.com/wiki/Dialogue describes the paraphrasing interaction as follows:
Presentation of the content in this manner can be seen to embed the content within a game-play context removing the static fixed presentation of content from which many serious games suffer. Capability is also gifted to surprise the player with seemingly innocent response that can also have negative consequence, thus subtly and/or severely demonstrating the positive and negative effects of simple but sometimes poignant response. […]
Directory: prj prj -> Algorithms for Register Allocation Andrew Pardoe prj -> Introduction the Methodological Guide prj -> Advisor: Tao Zhang prj -> Real-time uv monitoring System New York Institute of Technology eeng491-W02 Senior Design Project Advisor: Tao Zhang Team member Chenyang Yu, Changsheng Liu, Zhong Mao May 11, 2013 Table of Contents Download 113.72 Kb. Share with your friends:
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