What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Social science
The scientist’s investigation covers issues in Human–computer interaction, Cognitive dimensions of notations, Usability, Programming language and Programming paradigm.
Alan F. Blackwell has researched Human–computer interaction in several fields, including Visual programming language, Software development, Software design, End user and Key.
His Cognitive dimensions of notations research includes themes of Formal grammar and Notation.
In his work, User interface design is strongly intertwined with User requirements document, which is a subfield of Notation.
He has included themes like Augmented reality, Mental representation, Range, Vocabulary and Web navigation in his Usability study.
His study in the field of Procedural programming, Programming domain and First-generation programming language is also linked to topics like User defined and Callable bond.
His most cited work include:
- Password memorability and security: empirical results (548 citations)
- The state of the art in end-user software engineering (393 citations)
- Dasher—a data entry interface using continuous gestures and language models (293 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Human–computer interaction, Multimedia, Artificial intelligence, Context and Cognitive dimensions of notations.
His Human–computer interaction study integrates concerns from other disciplines, such as User interface, Tangible user interface and Notation.
Alan F. Blackwell combines subjects such as Mobile Web, Mobile device and Mobile computing with his study of Multimedia.
The various areas that Alan F. Blackwell examines in his Artificial intelligence study include Machine learning, Natural language processing, Space, Computer vision and Qualitative research.
The concepts of his Context study are interwoven with issues in Management science, Relevance, Bluetooth, Visualization and Data science.
His study in Usability is interdisciplinary in nature, drawing from both Augmented reality and Visual language.
He most often published in these fields:
- Human–computer interaction (30.67%)
- Multimedia (14.22%)
- Artificial intelligence (13.78%)
What were the highlights of his more recent work (between 2013-2021)?
- Human–computer interaction (30.67%)
- Artificial intelligence (13.78%)
- Multimedia (14.22%)
In recent papers he was focusing on the following fields of study:
Alan F. Blackwell spends much of his time researching Human–computer interaction, Artificial intelligence, Multimedia, Context and Live coding.
His Ubiquitous computing study, which is part of a larger body of work in Human–computer interaction, is frequently linked to Ask price, bridging the gap between disciplines.
His work carried out in the field of Artificial intelligence brings together such families of science as Programming language, Machine learning and Natural language processing.
His Multimedia research integrates issues from Abstraction, Visual programming language, Expression and Tangible user interface.
His Context research includes elements of Bluetooth, Qualitative research, Interpersonal communication and Appropriation.
His User interface research is multidisciplinary, relying on both Interface and Usability.
Between 2013 and 2021, his most popular works were:
- Using Augmented Reality to Elicit Pretend Play for Children with Autism (57 citations)
- Palimpsest: A layered language for exploratory image processing (34 citations)
- HCI as an Inter-Discipline (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Social science
His scientific interests lie mostly in Human–computer interaction, Artificial intelligence, Live coding, Multimedia and Context.
His research in Human–computer interaction intersects with topics in Wireless, Natural, Software agent, Visual language and Notation.
He works mostly in the field of Artificial intelligence, limiting it down to concerns involving Machine learning and, occasionally, Domain.
The Live coding study combines topics in areas such as Music education and Abstraction.
His Multimedia research is multidisciplinary, incorporating elements of Application domain, Semantics, Expression and Visual programming language.
His work focuses on many connections between Context and other disciplines, such as Bluetooth, that overlap with his field of interest in Data science and Situated.
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