What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- The Internet
Mark O. Riedl mainly investigates Multimedia, Human–computer interaction, Narrative, Artificial intelligence and Storytelling.
Mark O. Riedl has included themes like Cinematography and Empirical research in his Multimedia study.
His work on Metaverse as part of general Human–computer interaction study is frequently linked to Filter, bridging the gap between disciplines.
His work in the fields of Narrative, such as Plot, overlaps with other areas such as Class.
His Natural language study in the realm of Artificial intelligence connects with subjects such as Cognitive load.
His work on Narrative criticism expands to the thematically related Storytelling.
His most cited work include:
- Narrative planning: balancing plot and character (349 citations)
- An architecture for integrating plan-based behavior generation with interactive game environments. (199 citations)
- From linear story generation to branching story graphs (184 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Human–computer interaction, Artificial intelligence, Multimedia, Narrative and Storytelling.
His Human–computer interaction research includes themes of Action, Context, Creativity and Reinforcement learning.
Mark O. Riedl has researched Artificial intelligence in several fields, including Machine learning and Natural language processing.
Mark O. Riedl focuses mostly in the field of Multimedia, narrowing it down to matters related to Interactive storytelling and, in some cases, Agency.
His work deals with themes such as Entertainment, Cognitive science and Plan, which intersect with Narrative.
His Game design research is multidisciplinary, incorporating perspectives in Computer game, Space and Game mechanics.
He most often published in these fields:
- Human–computer interaction (36.56%)
- Artificial intelligence (28.63%)
- Multimedia (27.75%)
What were the highlights of his more recent work (between 2018-2021)?
- Human–computer interaction (36.56%)
- Artificial intelligence (28.63%)
- Natural language (11.01%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Human–computer interaction, Artificial intelligence, Natural language, Reinforcement learning and Natural language processing.
Mark O. Riedl works in the field of Human–computer interaction, focusing on Game design in particular.
His Artificial intelligence research includes elements of Transparency and Machine learning.
His Natural language research is multidisciplinary, incorporating elements of State and Knowledge graph.
His research on Reinforcement learning also deals with topics like
- Normative, which have a strong connection to Intelligent agent, Norm and Cognitive psychology,
- Transfer of learning which connect with Domain knowledge and Knowledge economy.
His study in Coherence is interdisciplinary in nature, drawing from both Commonsense reasoning and Storytelling, Narrative.
Between 2018 and 2021, his most popular works were:
- Automated rationale generation: a technique for explainable AI and its effects on human perceptions (49 citations)
- Human‐centered artificial intelligence and machine learning (37 citations)
- Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- The Internet
His scientific interests lie mostly in Human–computer interaction, Natural language, Artificial intelligence, Reinforcement learning and Action.
In general Human–computer interaction study, his work on Level design often relates to the realm of Value, thereby connecting several areas of interest.
Mark O. Riedl has researched Natural language in several fields, including Intelligent agent and Norm.
His work carried out in the field of Artificial intelligence brings together such families of science as Transparency and Plot.
Plot is a subfield of Narrative that Mark O. Riedl tackles.
The Action study combines topics in areas such as Context, Autonomous agent and Perception.
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