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User interface

About: User interface is a research topic. Over the lifetime, 85402 publications have been published within this topic receiving 1728377 citations. The topic is also known as: UI & input method.


Papers
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Journal ArticleDOI
TL;DR: The purpose of this article is to review where the authors stand with regard to modeling the kind of cognition involved in human-computer interaction, and to give a new tool for modeling nonsequential component processes.
Abstract: The purpose of this article is to review where we stand with regard to modeling the kind of cognition involved in human-computer interaction. Card, Moran, and Newell's pioneering work on cognitive engineering models and explicit analyses of the knowledge people need to perform a procedure was a significant advance from the kind of modeling cognitive psychology offered at the time. Since then, coordinated bodies of research have both confirmed the basic set of parameters and advanced the number of parameters that account for the time of certain component activities. Formal modeling in grammars and production systems has provided an account for error production in some cases, as well as a basis for calculating how long a system will take to learn and how much savings there is from previous learning. Recently, we were given a new tool for modeling nonsequential component processes, adapting the "critical path analysis" from engineering to the specification of interacting processes and their consequent durations. Though these advances have helped, there are still significant gaps in our understanding of the whole process of interacting with computers. The cumulative nature of this empirical body and its associated modeling framework has further highlighted important issues central to research in cognitive psychology: how people move smoothly between skilled performance and problem solving, how people learn, how to design for consistent user interfaces, how people produce and manage errors, how we interpret visual displays for meaning, and what processes run concurrently and which depend on the completion of prior processes. In the bigger picture, cognitive modeling is a method that is useful in both initial design (it can narrow the design space and provide early analyses of design alternatives), evaluation, and training. But it does not extend to broader aspects of the context in which people use computers, partly because there are significant gaps in contemporary cognitive theory to inform the modeling and partly because it is the wrong form of model for certain kinds of more global questions in human-computer interaction. Notably, it fails to capture the user's fatigue, individual differences, or mental workload. And it is not the type of model that will aid the designer in designating the set of functions the software ought to contain, to assess the user's judgment of the acceptability of the software, or the change that could be expected in work life and the organization in which this work and person fits. Clearly, these kinds of considerations require modeling and tools of a different granularity and form.

302 citations

Proceedings ArticleDOI
28 Nov 2001
TL;DR: The ARCHEOGUIDE system and the experiences gained from the evaluation of an initial prototype by representative user groups at the archeological site of Olympia, Greece are presented.
Abstract: This paper presents the ARCHEOGUIDE project (Augmented Reality-based Cultural Heritage On-site GUIDE). ARCHEOGUIDE is an IST project, funded by the EU, aiming at providing a personalized electronic guide and tour assistant to cultural site visitors. The system provides on-site help and Augmented Reality reconstructions of ancient ruins, based on user's position and orientation in the cultural site, and realtime image rendering. It incorporates a multimedia database of cultural material for on-line access to cultural data, virtual visits, and restoration information. It uses multi-modal user interfaces and personalizes the flow of information to its user's profile in order to cater for both professional and recreational users, and for applications ranging from archaeological research, to education, multimedia publishing, and cultural tourism. This paper presents the ARCHEOGUIDE system and the experiences gained from the evaluation of an initial prototype by representative user groups at the archeological site of Olympia, Greece.

302 citations

Journal ArticleDOI
TL;DR: A conceptual framework to study HMC from a cognitive point of view in highly dynamic situations like aircraft piloting or air-traffic control is proposed, and the design of ‘cooperative’ machines is concluded.
Abstract: Since the 1960s, the rapid growth of information systems has led to the wide development of research on human-computer interaction (HCI) that aims at the designing of human-computer interfaces presenting ergonomic properties, such as friendliness, usability, transparency, etc. Various work situations have been covered--clerical work, computer programming, design, etc. However, they were mainly static in the sense that the user fully controls the computer. More recently, public and private organizations have engaged themselves in the enterprise of managing more and more complex and coupled systems by the means of automation. Modern machines not only process information, but also act on dynamic situations as humans have done in the past, managing stock exchange, industrial plants, aircraft, etc. These dynamic situations are not fully controlled and are affected by uncertain factors. Hence, degrees of freedom must be maintained to allow the humans and the machine to adapt to unforeseen contingencies. A human-machine cooperation (HMC) approach is necessary to address the new stakes introduced by this trend. This paper describes the possible improvement of HCI by HMC, the need for a new conception of function allocation between humans and machines, and the main problems encountered within the new forms of human-machine relationship. It proposes a conceptual framework to study HMC from a cognitive point of view in highly dynamic situations like aircraft piloting or air-traffic control, and concludes on the design of 'cooperative' machines.

302 citations

Patent
19 Oct 1998
TL;DR: In this paper, a speech unit (2) is proposed that enables all devices (11) connected to the bus system (31) to be controlled by a single speech recognition device.
Abstract: Home networks low-cost digital interfaces are introduced that integrate entertainment, communication and computing electronics into consumer multimedia. Normally, these are low-cost, easy to use systems, since they allow the user to remove or add any kind of network devices with the bus being active. To improve the user interface a speech unit (2) is proposed that enables all devices (11) connected to the bus system (31) to be controlled by a single speech recognition device. The properties of this device, e.g. the vocabulary can be dynamically and actively extended by the consumer devices (11) connected to the bus system (31). The proposed technology is independent from a specific bus standard, e.g. the IEEE 1394 standard, and is well-suited for all kinds of wired wireless home networks. The speech unit (2) receives data and messages from the device. The speech unit (2) recognizes speaker-dependent commands. A Speech synthesizer synthesizes messages. A remotely controllable device (11) has access to a medium which may be a CD-ROM. The device may ask for a logical name or identifier.

301 citations

Journal ArticleDOI
TL;DR: Creating a training environment from the basic function of the system itself afforded substantially faster learning coupled with better learning achievement and better performance on a comprehension post-test.
Abstract: New users of high-function application systems can become frustrated and confused by the errors they make in the early stages of learning. A training interface for a commercial word processor was designed to make typical and troublesome error states “unreachable,” thus eliminating the sources of some new-user learning problems. Creating a training environment from the basic function of the system itself afforded substantially faster learning coupled with better learning achievement and better performance on a comprehension post-test. A control group spent almost a quarter of their time recovering from the error states that the training interface blocked off. We speculate on how this training strategy might be refined, and more generally, on how function should be organized in a user interface.

301 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023211
2022526
20211,630
20203,004
20193,233
20183,024