This paper presents a design space for engineering adaptive user interfaces throughout the user interface development life cycle in order to describe any adaptation technique, adaptable or adaptive, to compare two or more techniques, and to generate new, perhaps unprecedented, techniques. Grounded in the theory of psychological perception, this design space structures the adaptation life cycle into two regulation loops between the user and the system: a perception-decision-action (PDA) loop for both the system and the user, and a learning-prediction-adaptation (LPA) for supporting the adaptation, this last being particularly expressive for adaptivity. This PDA-LPA design space enables defining properties for assessing the quality of these loops between the system and the end-user. This design space of is instantiated on two advanced adaptive user interfaces: adaptive user interfaces based on machine learning and adaptive layouts. This design space provides new insights for considering adaptivity design options.

A large variety of gestural interaction techniques based on accelerometers is now available. In this article, we propose a new taxonomic space as a systematic structure for supporting the comparative analysis of these techniques as well as for designing new ones. An interaction technique is plotted as a point in a space where the vertical axis denotes the semantic coverage of the techniques, and the horizontal axis expresses the physical actions users are engaged in, i.e. the lexicon. In addition, syntactic modifiers are used to express the interpretation process of input tokens into semantics, as well as pragmatic modifiers to make explicit the level of indirection between users' actions and system responses. To demonstrate the coverage of the taxonomy, we have classified 25 interaction techniques based on accelerometers. The analysis of the design space per se reveals directions for future research.

This paper reports on an empirical study performed to validate a theoretical model about the composition of smart artifacts by end-users. We have solicited 17 families and used a combination of interviews and a playful cultural probe. Results show that families are willing to couple smart objects to improve their lives, and that the theoretical questions raised by our model are sound. New services are more easily envisioned when coupling involves a "communicating" object or a "programmable" object. Being a communicating object has more impact than being programmable. Services envisioned by families included: Service substitution (e.g., replacing the user interface of the alarm clock with that of the time setting available on mobile phones); Service improvement (e.g., extending appliances such as the washing machine, by coupling them with the interaction resources of the TV set); Service chaining as ready for use "packages" to improve well-being for routine activities; along with Service "starters" as a means to control packages. Other findings are related to the playful cultural probe. Based on pictures of objects taken by the family members, our probe served as an ice-breaker; family members "revealed their house" naturally and the use of images of intimate objects increased interest and imagination.

This paper describes a framework that serves as a reference for classifying user interfaces supporting multiple targets, or multiple contexts of use in the field of context-aware computing. In this framework, a context of use is decomposed into three facets: the end users of the interactive system, the hardware and software computing platform with which the users have to carry out their interactive tasks and the physical environment where they are working. Therefore, a context-sensitive user interface is a user interface that exhibits some capability to be aware of the context (context awareness) and to react to changes of this context. This paper attempts to provide a unified understanding of context-sensitive user interfaces rather than a prescription of various ways or methods of tackling different steps of development. Rather, the framework structures the development life cycle into four levels of abstraction: task and concepts, abstract user interface, concrete user interface and final user interface. These levels are structured with a relationship of reification going from an abstract level to a concrete one and a relationship of abstraction going from a concrete level to an abstract one. Most methods and tools can be more clearly understood and compared relative to each other against the levels of this framework. In addition, the framework expresses when, where and how a change of context is considered and supported in the context-sensitive user interface thanks to a relationship of translation. In the field of multi-target user interfaces is also introduced, defined, and exemplified the notion of plastic user interfaces. These user interfaces support some adaptation to changes of the context of use while preserving a predefined set of usability properties.

This article nqmts our tiection on softsvam amhiteetm modelling for multi-usersystems (or groupware).Fi~w introduce t.k notion of software architecture and make explieit the design steps that most sofl-wam designm in HCI tend to blend in a fizzy way.Building on general concepts and pmetiee fmm main stream soikm engineering, we then present a comparative analysis of the most signifhnt architecture models developed for singleand multi-user systems.We close with the pmentation d PAC*, a new arehitectuml fmmwodc for modelling and designing the sdsvare amhitectm of multi-user systems.PAC* is a motivated combination of existing anAiteetuml models seleeted for the complementarily of their "good properties".These include operational heuristics such as rules for deriving agents in accordance to the task model or criteria for reasoning about replication as well as properties such as support for style heterogeneity, portability, and reusability.

In Computer Mediated Communication such as desktop video conferencing, static video cameras provide a restricted field of view of remote sites. The effective field of view can be enlarged, while maintaining the user's freedom of movement, by slaving a remote controlled camera to movements of the user's head. This paper concerns techniques for tracking of faces. We demonstrate that robustness and reliability can be increased by combining multiple perceptual processes such as eye blink detection, skin color histogram and cross correlation, that adapt to a variety of operating conditions. We illustrate our technique with CoMedi, a media-space currently under development.

Multimodal interactive systems support multiple interaction techniques such as the synergistic use of speech and direct manipulation. The flexibility they offer results in an increased complexity that current software tools do not address appropriately. One of the emerging technical problems in multimodal interaction is concerned with the fusion of information produced through distinct interaction techniques. In this article, we present a generic fusion engine that can be embedded in a multi-agent architecture modelling technique. We demonstrate the fruitful symbiosis of our fusion mechanism with PAC-Amodeus, our agentbased conceptual model, and illustrate the applicability of the approach with the implementation of an effective interactive system: MATIS, a Multimodal Airline Travel Information System.

Article Free Access Share on Applications: a dimension space for user interface management systems Authors: Joëlle Coutaz Laboratoire de Génie Informatique (IMAG), BP 53 X, 38041 Grenoble Cedex, France Laboratoire de Génie Informatique (IMAG), BP 53 X, 38041 Grenoble Cedex, FranceView Profile , Sandrine Balbo Laboratoire de Génie Informatique (IMAG), BP 53 X, 38041 Grenoble Cedex, France Laboratoire de Génie Informatique (IMAG), BP 53 X, 38041 Grenoble Cedex, FranceView Profile Authors Info & Claims CHI '91: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsApril 1991 Pages 27–32https://doi.org/10.1145/108844.108849Published:01 March 1991Publication History 8citation260DownloadsMetricsTotal Citations8Total Downloads260Last 12 Months9Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF