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AI for game production
2013
2013 IEEE Conference on Computational Inteligence in Games (CIG)
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We enumerate 12 new research areas spawned by these forces and steps toward how they can be addressed by data-driven Game AI Producers. ...
We characterize a confluence of four major forces at play in the games industry today, together producing a wealth of data that opens unique research opportunities and challenges for Game AI in game production ...
Despite the growing ubiquity of user-generated content little research has developed methods to elicit needed content, interact with end-users to improve content, or mine design knowledge from this content ...
doi:10.1109/cig.2013.6633663
dblp:conf/cig/RiedlZ13
fatcat:f2dqm5q6ofacnbyf2d6io3inve
Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions
2020
Journal on spesial topics in mobile networks and applications
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Overall, this paper aims to serve as a reference point and guidelines for the mobile application developers as well as the researchers in this domain, particularly from the technical point of view. ...
Popular AI techniques include machine learning and deep learning methods, natural language processing, as well as knowledge representation and expert systems, can be used to make the target mobile applications ...
Such suggestions may vary from user-touser according to their interests and helps the users to decide what suits best for them. & Data-driven: Delivering a data-driven output is also one of the key features ...
doi:10.1007/s11036-020-01650-z
fatcat:4dg7xrhkkbhn7brre7vobtisja
A two-way street between AI research and media scholars
2022
Zenodo
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Specifically, NISV is investigating how AI tools could open new research possibilities for the users of the CLARIAH Media Suite virtual research environment which enables exploration and analysis of distributed ...
But what are the actual requirements that humanities scholars have for the use of such AI-based tooling? ...
This work was supported by European Union's Horizon 2020 research and innovation programme under grant agreement No 951911 -AI4Media. ...
doi:10.5281/zenodo.6532640
fatcat:ckfebnlxxzgh5egoex56wm25ti
Enabling Value Sensitive AI Systems through Participatory Design Fictions
[article]
2019
arXiv
pre-print
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We highlight several well-established areas focusing on developing empirical methods for inquiring user values. ...
Based on these methods, we propose participatory design fictions to study user values involved in AI systems and present preliminary results from a case study. ...
We build our foundation on the basis of three established HCI areas studying user value issues, and consider adapting existing user research methods to: 1) enable the explication of broad and tacit value ...
arXiv:1912.07381v1
fatcat:oc6b76obpbhnljfx57dpdmfxcq
Understanding Mental Models of AI through Player-AI Interaction
[article]
2021
arXiv
pre-print
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Designing human-centered AI-driven applications require deep understandings of how people develop mental models of AI. ...
We present a case study to illustrate the benefits of our approach for explainable AI. ...
Researchers have argued that the complexity of AI-driven experiences makes them particularly challenging for both users [25, 22, 35] and designers [9, 41] . ...
arXiv:2103.16168v1
fatcat:gzxafwe6l5cv7j7lpv4j6ykahy
Usable intelligent interactive systems
2009
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems - CHI EA '09
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What was once considered the forefront of artificial intelligence (AI) research can now be found in commercial products. ...
The AI and HCI communities have often been characterized as having opposing views of how humans and computers should interact" observes Winograd in Shifting Viewpoints [10] . ...
Earlier, some AI researchers tended to see adaptive user interfaces as a natural solution to usability problems [1] , while many HCI researchers were equally convinced that such interfaces would necessarily ...
doi:10.1145/1520340.1520396
dblp:conf/chi/SpauldingGJKBH09
fatcat:fcbbdbjqkbdxhk647nfsc4amoq
Guest Editorial: Special Issue on AI Powered Network Management: Data-Driven Approaches Under Resource Constraints
2018
IEEE Internet of Things Journal
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With the fuel (IoT data) and the engine (AI), data-driven network management will enable us to dynamically and adaptively meet the spatio-temporal network demands in the most resource-aware and resource-smart ...
data-driven approaches as well as applications. ...
We expect that this SI can help both industry and academic research communities to better understand the recent advancements and potential research directions on the topic of "AI Powered Network Management ...
doi:10.1109/jiot.2018.2887323
fatcat:ige7tqb3o5f6lkrcd7e5ulqd7m
Guest Editorial: Special Issue on Computational Aesthetics in Games
2012
IEEE Transactions on Computational Intelligence and AI in Games
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of accurate computational models; • the investigation of the most suitable AI and CI methods for capturing and modeling aesthetics; • the comparison of methods for aesthetics-driven game adaptation; • ...
In "Experience-driven procedural music generation for games," Plans and Morelli [7] propose a method for adaptive musical composition, so that the game's background score may be synthesized in real time ...
His research has won national and international awards, and he has published nearly 150 papers on AI topics such as machine learning, constraint solving, automated reasoning, evolutionary approaches, philosophical ...
doi:10.1109/tciaig.2012.2212900
fatcat:bbbvudhdubaihfvhucju44z6hm
The experience-driven perspective
[chapter]
2016
Procedural Content Generation in Games
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The experience-driven perspective on procedural content generation provides a framework for content generation based on player modelling; one of the most important ways of doing this is to use a player ...
It also gives examples of different ways in which such models can be used. 10 The experience-driven perspective ...
user affect, and uses game content to adapt the experience. ...
doi:10.1007/978-3-319-42716-4_10
fatcat:zi3tb2hyazfhteqr2eokvxat6a
Responsible media technology and AI: challenges and research directions
2021
AI and Ethics
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The challenge of balancing these opportunities and benefits against their potential for negative impacts underscores the need for more research in responsible media technology. ...
On the one hand, the broad adoption of these technologies may introduce new opportunities for diversifying media offerings, fighting disinformation, and advancing data-driven journalism. ...
Research into adaptation includes responsive user interfaces (UIs), adaptive streaming, content adaptation and multi-device adaptation [80] . ...
doi:10.1007/s43681-021-00126-4
fatcat:omhfw2yco5fo3opww5qcqnqui4
Guest Editorial: Emotion in Games
2014
IEEE Transactions on Affective Computing
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experience research and multimodal interfaces that will advance the state-of-the-art in player experience research; affect induction, sensing and modeling; and affect-driven game adaptation. ...
game studies, game design, user and user experience research, and experimental psychology. ...
He does research at the crossroads of AI, affective computing, advanced game technology, and computational creativity. ...
doi:10.1109/taffc.2014.2313816
fatcat:fl3vo4mtxzajpok4hzqogizcv4
Designing for Continuous Interaction with Artificial Intelligence Systems
2022
CHI Conference on Human Factors in Computing Systems Extended Abstracts
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Novel scenarios require AI systems to adapt and respond to continuous user input, e.g., imageguided surgery and AI-supported text entry. ...
In this SIG, we support the exchange of cutting-edge research contributing to a better understanding and improved methods and tools to design continuous Human-AI interaction. ...
AI driven systems in the future. ...
doi:10.1145/3491101.3516409
fatcat:25m26rnunbgpdb6cvh5rced2l4
Human-Centered Intelligent Training for Emergency Responders
2022
The AI Magazine
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We propose a human-centered artificial intelligence (AI) enabled training framework for these technologies in ER. ...
Hence, new ER learning environments are needed that are adaptive, affordable, accessible, and continually available for reskilling the ER workforce as technological capabilities continue to improve. ...
Using AI, we intend to flip these approaches, and instead of prescribing interaction techniques we will build smart, sensor-based AI systems to drive the user experience that instead over time learn users ...
doi:10.1609/aimag.v43i1.19129
fatcat:p7oug2wivrhhda3f24ixkjjfs4
D7-R4: Software Development Life-Cycle for Intelligent Vision Systems
2019
International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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data processing along with efficient signal processing and real-time hardware/software integration as well as User Experience (UX) and (cyber)security features. ...
Hence, IVS encompass any software which has a visual input processed by means of algorithm(s) involving Artificial Intelligence (AI) methods. ...
Though, the full Scrum methodology is intrinsically not adapted for lone developers such as individual researchers. ...
doi:10.5220/0008354804350441
dblp:conf/ic3k/Olszewska19
fatcat:fpqb6pb3nzaqllptzbxwopqpom
Game AI revisited
2012
Proceedings of the 9th conference on Computing Frontiers - CF '12
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These game AI flagship research areas include the computational modeling of player experience, the procedural generation of content, the mining of player data on massive-scale and the alternative AI research ...
foci for enhancing NPC capabilities. ...
NPC AI) and pathfinding [8] as most of the early work in that field was conducted by researchers with AI, optimization and control background and research experience in adaptive behavior, robotics and ...
doi:10.1145/2212908.2212954
dblp:conf/cf/Yannakakis12
fatcat:rfow4qj7f5dcdjfpekgrgbb6pq
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