Explore chapters and articles related to this topic
Interacting with Visualizations
Published in Christian Tominski, Heidrun Schumann, Interactive Visual Data Analysis, 2020
Christian Tominski, Heidrun Schumann
Useful and usable interaction techniques are the result of careful consideration of the human user, the analytic tasks to be accomplished, the characteristics of the data, and the technological environment in which the analysis takes place. Several books would be needed to cover the design space for interaction comprehensively. Nonetheless, the following paragraphs will provide some high-level remarks on the design of interaction for visual data analysis.
Toward an Information Society for All
Published in Constantine Stephanidis, User Interfaces for All, 2000
Constantine Stephanidis, Gavriel Salvendy, Demosthenes Akoumianakis, Albert Arnold, Nigel Bevan, Daniel Dardailler, Pier Luigi Emiliani, Ilias Iakovidis, Phill Jenkins, Arthur I. Karshmer, Peter Korn, Aaron Marcus, Harry J. Murphy, Charles Oppermann, Christian Stary, Hiroshi Tamura, Manfred Tscheligi, Hirotada Ueda, Gerhard Weber, Juergen Ziegler
Actions in this area should aim to (a) ensure accessibility and usability of community-based information resources by all potential users, (b) develop suitable interaction techniques that meet the requirements of individual members of communities of users, and (c) establish demonstrators of good practice. The type of actions envisaged include basic research, applied research, and technological development and demonstration. Examples of RTD activities include, but are not limited to: Investigation of and studies on user requirements for novel interaction technologies.Development of advanced three-dimensional domain-specific visualizations.Analysis and experimentation with new metaphors for interaction in social settings.Development of multimodal interaction mechanisms (e.g., gestures, natural-language understanding, tactile, and their combination).Exploration of alternative designs for nonvisual modalities to facilitate interaction in radically different contexts of use.Development of novel interaction techniques based on emerging technologies (e.g., wearable computing, virtual/augmented realities).Development of advanced content-based retrieval engines.Development of technologies for managing large information spaces (e.g., digital libraries).
Development of a metric to evaluate the ergonomic principles of assistive systems, based on the DIN 92419
Published in Ergonomics, 2023
Flávia Xavier Macedo de Azevedo, Rüdiger Heimgärtner, Karsten Nebe
Interaction techniques were also mapped. The main interaction technique was categorised, yet the system could incorporate other techniques. The most prominent interaction techniques found in the studies were through digital and analog interfaces, indicating that the most common way of interaction was either through touchscreens or the physical product itself (e.g. wheelchair). Wearables, brain-computer interfaces, and robot-human interface were rather frequent, whereas speech, gesture, tongue, and eye-based systems occurred in more specific fields of assistive systems. Lastly, multimodal refers to systems which did not have an interaction technique clearly associated with a primary modality (Mónica Faria et al. 2013, e.g.). The distribution of the mentioned techniques is given in Figure 2.
An evaluation of three designs to engage users when providing their consent on smartphones
Published in Behaviour & Information Technology, 2021
Daniel Lindegren, Farzaneh Karegar, Bridget Kane, John Sören Pettersson
Sundar (2007) proposes a theoretical model about the psychological effects of interactivity. This model of interactivity effects has three distinct types of interactivity: (i) source, (ii) message, and (iii) medium of communication. Medium-based interactivity, i.e. different interaction techniques which are the focus of our study, refers to the different ways in which an interface affords its users to interact with information, for example, access information or select among options. According to the model, differences in interaction techniques can affect how users evaluate, engage with, and process the content of the interface which in turn can affect user cognition and attitudes.