His scientific interests lie mostly in Human–computer interaction, Programmer, Software engineering, User interface and Programming language. The study incorporates disciplines such as Knowledge management, Software, Focus and Software agent in addition to Human–computer interaction. He combines subjects such as Software development, Computer programming, Procedural programming, Artificial intelligence and Programming paradigm with his study of Software engineering.
Charles Rich has included themes like Personal software process and Search-based software engineering in his Artificial intelligence study. Charles Rich usually deals with User interface and limits it to topics linked to Multimedia and Graphical user interface and Interactive systems engineering. His Programming language research focuses on Representation and how it connects with Independence, Program transformation, Data structure and Common Lisp.
His primary scientific interests are in Human–computer interaction, Artificial intelligence, Software engineering, Robot and Multimedia. His research in Human–computer interaction intersects with topics in Graphical user interface, User interface, Task, Software agent and Interface. His work on Robotics as part of general Artificial intelligence study is frequently connected to Context, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He focuses mostly in the field of Software engineering, narrowing it down to topics relating to Programmer and, in certain cases, Knowledge representation and reasoning. His Robot research incorporates themes from Engineering ethics and Gesture. His Multimedia research is multidisciplinary, incorporating elements of Virtual reality and Personalization.
Charles Rich spends much of his time researching Robot, Human–computer interaction, Context, Human–robot interaction and Artificial intelligence. His work deals with themes such as Emerging technologies, Virtual agent and Embodied cognition, which intersect with Robot. His work on SIMPLE expands to the thematically related Human–computer interaction.
His studies in Human–robot interaction integrate themes in fields like Dialog box, Function and Gesture. His Artificial intelligence study frequently draws connections to other fields, such as Task. Charles Rich works mostly in the field of Task, limiting it down to topics relating to Robotics and, in certain cases, Data flow diagram, Graphical user interface, Task analysis and Machine learning, as a part of the same area of interest.
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Explorations in engagement for humans and robots
Candace L. Sidner;Christopher Lee;Cory D. Kidd;Neal Lesh.
Artificial Intelligence (2005)
COLLAGEN: A Collaboration Manager for Software Interface Agents
Charles Rich;Candace L. Sidner.
User Modeling and User-adapted Interaction (1998)
Collagen: applying collaborative discourse theory to human-computer interaction
Charles Rich;Candace L. Sidner;Neal Lesh.
Ai Magazine (2001)
Recognizing a program's design: a graph-parsing approach
C. Rich;L.M. Wills.
IEEE Software (1990)
The Programmer's Apprentice: a research overview
C. Rich;R.C. Waters.
IEEE Computer (1988)
Non-Verbal Cues for Discourse Structure
Justine Cassell;Yukiko Nakano;Timothy W. Bickmore;Candace L. Sidner.
meeting of the association for computational linguistics (2001)
COLLAGEN: when agents collaborate with people
Charles Rich;Candace L. Sidner.
adaptive agents and multi-agents systems (1997)
The programmer's apprentice
Charles Rich;Richard C. Waters.
Artificial intelligence at MIT expanding frontiers (1990)
Automatic programming: myths and prospects
C. Rich;R.C. Waters.
IEEE Computer (1988)
Using plan recognition in human-computer collaboration
Neal Lesh;Charles Rich;Candace L. Sidner.
international conference on user modeling, adaptation, and personalization (1999)
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