| 1. |
- Guo, Hong, et al.
(författare)
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Lessons from Practicing an Adapted Model Driven Approach in Game Development
- 2015
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Ingår i: Entertainment Computing - ICEC 2015. - Cham : Springer. - 9783319245881 - 9783319245898 ; , s. 451-456
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Bokkapitel (refereegranskat)abstract
- Various authoring tools have been used to ease the game creation. However, these pre-defined tools may not be suitable for some emerging or special domains. We proposed an approach named Game Creation with Customized Tools (GCCT) to create tools for certain domains first, and then create games using these tools. GCCT is based on the widely applied Model Driven Development (MDD) approach. Despite the apparent appropriateness and benefits, MDD also has drawbacks. Among them, non-trivial cost for tools development is prominent. To address this, some enhancements were made in GCCT, and two case studies were performed to evaluate the cost and the productivity when involving GCCT. In this paper, we reported the results of the case studies as well as practical lessons we have learnt.
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| 2. |
- Guo, Hong, et al.
(författare)
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Ontology-Based Domain Analysis for Model Driven Pervasive Game Development
- 2018
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Ingår i: Information. - : MDPI. - 2078-2489. ; 9:5
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Tidskriftsartikel (refereegranskat)abstract
- Domain Analysis (DA) plays an important role in Model Driven Development (MDD) and Domain-Specific Modeling (DSM). However, most formal DA methods are heavy weight and not practical sometimes. For instance, when computer games are developed, the problem domain (game design) is decided gradually within numerous iterations. It is not practical to fit a heavy-weight DA in such an agile process. In this research, we propose a light-weight DA which can be embedded in the original game development process. The DA process is based on a game ontology which serves for both game design and domain analysis. In this paper, we introduce the ontology and demonstrate how to use it in the domain analysis process. We discuss the quality and evaluate the ontology with a user acceptance survey. The test result shows that most potential users considered the ontology useful and easy to use.
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| 3. |
- Paton-Romero, J. David, et al.
(författare)
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State of Gender Equality in and by Artificial Intelligence
- 2022
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Ingår i: IADIS International Journal on Computer Science and Information Systems. - : IADIS. - 1646-3692. ; 17:2, s. 31-48
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Tidskriftsartikel (refereegranskat)abstract
- When talking about sustainability, we usually think that it is only about safeguarding the environment; nothing is further from reality. Of course, the environment is a crucial component of sustainability and our survival, but it is important to recall that the society and the economy play important roles in this regard, and without the interconnection and development of these three perspectives it will not be possible to achieve sustainable progress. The Sustainable Development Goals (SDGs) established by the United Nations (UN) defend this idea and address the main challenges that humanity faces. One of these challenges is gender equality, which is identified in the perspective of social sustainability through SDG 5. Gender equality is a very complex and difficult challenge to address due to the great cultural diversity of our society. Thus, achieving this goal will require laying a solid foundation and working together by combining very different fields of knowledge. In this sense, Artificial Intelligence (AI) is one of the fields that is currently having the greatest impact and relevance for the development of new technologies and for the advancement of numerous areas. This growing evolution of AI demonstrates that its repercussions at the social level must be analyzed and addressed in such a way that AI becomes a positive asset for sustainability and, in this particular case, for gender equality.For all these reasons, this study aims to analyze the current state of the art and collect the existing knowledge in the fields of AI and gender equality, by conducting a Systematic Mapping Study (SMS). The obtained results and findings have allowed us to identify the most relevant advances in this regard, as well as the gaps and drawbacks that currently exist and on which we must urgently focus to address gender equality both in and by AI. In the same way, these findings demonstrate the limited joint development of both fields, but also indicate an increase in the relevance and the number of proposals that these fields are receiving in recent years.
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| 4. |
- Rubegni, Elisa, et al.
(författare)
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Owning Your Career Paths: Storytelling to Engage Women in Computer Science
- 2023
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Ingår i: Intelligent Systems Reference Library. - Cham : Springer International Publishing. - 1868-4408 .- 1868-4394. ; 235, s. 1-25, s. 1-25
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Motivation & challenge: Computer Science suffers from a lack of diversity that gets perpetuated by the most dominant and visible role models. The community is doing itself a disservice by upholding techno-solutionism, short-term efficiency, and busyness as central values. Those models are created and consolidated over time through social and cultural interactions that increase the perpetration of gender stereotypes. Exposing people to diverse types of role models and stories can contribute to making them more aware of the complexity of reality and inspire them taking better informed decisionsmaking on their career paths. Likewise, showing different role models to stakeholders in society and industry can contribute to increase the workforce diversity in the profession of computing as well as to make a shift towards the consolidation of different role models. This, in turn, may contribute to strengthen resilience and adequacy for solving issues related to diversity, equality and inclusion in Computer Science and more importantly allowing women take the ownership of their career path. Goal: To encourage the dissemination, sharing and creation of stories that show diverse career pathways to address gender stereotypes created by dominant stories in Computer Science. We tackle this issue by developing a framework for storytelling around female scientists and professionals to show a diversity of possibilities for women in pursuing an academic career based on the ownership of their pathways. Method: We apply a qualitative approach to analyse stories collected using the auto-ethnography and use thematic analysis to unpack the components of what in these stories contribute to building the academic path in the field of Computer Science. Authors used their own professional histories and experiences as input. They highlighted the central values of their research visions and approaches to life and emphasised how they have helped to take decisions that shaped their professional paths. Results: We present a framework made of the nine macro-themes emerging from the autoethnography analysis and two dimensions that we pick from the literature (interactions and practices). The framework aims to be a reflecting storytelling tool that could support women in Computer Sciences to create their own paths. Specifically, the framework addresses issues related to communication, dissemination to the public, community engagement, education, and outreach to increase the diversity within Computer Science, AI and STEM in general. Impact: The framework can help building narratives to showcase the variety of values supported by Computer Science. These stories have the power of showing the diversity of people as well as highlighting the uniqueness of their research visions in contributing to transformation of our global society into a supportive, inclusive and equitable community. Our work aims to support practitioners who design outreach activities for increasing diversity and inclusion, and will help other stakeholders to reflect on their own reality, values and priorities. Additionally, the outcomes are useful for those who are working in improving the gender gap in Computer Science in academia and industry. Finally, they are meant for women who are willing to proceed into an academic career in this area by offering a spur for reflection and concrete actions that could support them in their path from PhD to professorship.
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