New Directions in Information Technology Law: Learning from Human Computer Interaction
نویسندگان
چکیده
منابع مشابه
Future directions for human-computer interaction
This paper offers a set of goals for user interface development and then scenarios of future developments. The applications include home control, hypermedia, office automation, digital photography, collaborative meeting/classrooms, public access, professional workstations, and medical record-keeping. Also, predictions are made for some of the underlying technologies such as User Interface Manag...
متن کاملNew Directions in Human Information Behavior
new directions in human information behavior. Book lovers, when you need a new book to read, find the book here. Never worry not to find what you need. Is the new directions in human information behavior your needed book now? That's true; you are really a good reader. This is a perfect book that comes from great author to share with you. The book offers the best experience and lesson to take, n...
متن کاملNew forms of Human-Computer Interaction for Visualizing Information
The Graphical User Interface (GUI) – although developed in research laboratories in the late 1970s – is still the dominant interaction paradigm in Information Visualization. We propose a new interaction paradigm called Blended Interaction. It combines ideas of Embodied Cognition, Multimodal Interaction, Reality-Based Interaction & Ubiquitous Computing. This is intended to stress that a single i...
متن کاملNew Human-Computer Interaction Techniques
This chapter describes the area of human-computer interaction technique research in general and then describes research in several new types of interaction techniques under way at the Human-Computer Interaction Laboratory of the U.S. Naval Research Laboratory: eye movement-based interaction techniques, three-dimensional pointing, and, finally, using dialogue properties in interaction techniques.
متن کاملMachine Learning and Citizen Science: Opportunities and Challenges of Human-Computer Interaction
Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2016
ISSN: 1556-5068
DOI: 10.2139/ssrn.2865842