Programma dettagliato del corso di Interazione Uomo-Macchina Avanzata (IUM 2)
Depth of Mathematics and Computer Science - University of Udine

Luca Chittaro

 Human Computer Interaction Lab

Corso di Interazione Uomo-Macchina Avanzata (IUM 2)
(a.a. 2010/2011)

Prof. Luca Chittaro

ARGOMENTI TRATTATI

  • Information Visualization(IV): Information Visualization (IV): definitions. Data vs. Information. Goals of IV. Information Visualization vs. Scientific Visualization. Issues involved in IV Design. Mapping: principles, visual attributes. Mapping examples. 2D vs. 3D visualizations. Typical IV design problems. A classification of data types: Categorical, Numerical, Topological, Symbolic, Textual Data.
  • Techniques for visualizing and interacting with data: Bivariate, Trivariate, Multivariate data: Scatterplots, Mosaic Display, Parallel coordinate plots, Starplot, Chernoff Faces. Hierarchical Axis. Dimensional Stacking. A general model for information visualization systems. A classification of task types: overview, zoom, filter, details-on-demand, relate, history, extract. Dynamic Queries, Alphasliders, The Attribute Explorer. InfoZoom. Demonstration of XMDV software. Pixel-oriented visualizations: screen-filling curves, recursive pattern, circle segments.
  • The presentation problem: Overview+Detail techniques. Focus+Context techniques. Distortion-oriented techniques. Table Lens. Perspective Wall. Fish-eye view. An alternative classification of data types: 1-dimensional, 2-dimensional, 3-dimensional, temporal, multi-dimensional, tree, network. Trees: Treemaps, Cone Trees, Camtrees, Star Tree, Hyperbolic Trees. Networks: SeeNet, HierNet, NetMap. Demonstration of Many Eyes software. Temporal data: Lifelines, AsbruView, Paint Strips. Documents: TileBars, document Galaxies, Themescape, Citeseer-Relator, MDS-interactive.
  • Case study: IV in Medicine: Visualizing medical data: medical imaging vs. IV. Demonstration of a DICOM interactive visualizer. A gallery of medical IV examples: Interactive Data Exploration of clinical databases, Digital libraries of anatomical images. Visual data mining of Hemodialysis data.
  • Case study: IV for the Web: Visual interfaces to Web search engines. Web page caricatures. Visualizing Social activities on the Web. NattoView. Self-organizing maps. Skitter. Cichlid. Web Forager. Disk tree. Time tube. Dome tree.
  • Perception, Cognition and Human Factors aspects: Visual perception aspects. Neurophysiological basis of visual perception: visual cortex, ventral pathway, dorsal pathway. Colour vision: trichromatic theory, opponent process theory, dual-process theory. Depth and size perception: monocular cues, binocular and oculomotor cues. Perception without awareness. Perceptual organization and Gestalt laws. Uniform connectedness. Contours. Feature, pattern, and object processing. Object recognition theories. Face recognition. Basic facial expressions. Motion recognition. Optic Flow. Bottom-up and top-down visual processing. Visual attention. Eye movement planning. Attention and performance. Focused and divided attention. Perceptual load theory. Visual task analysis. Visual salience in simple task. Visual salience in complex task. Controlled and automatic processes. Navigation in abstract or physical spaces. Improving navigation. Navigation aids.
  • Mobile HCI:. Differences between the mobile context and the desktop PC context: device, users, context. Size issues in mobile devices. Interface Elements of Menu-based Mobile Phones. Menu Interfaces in Mobile Phones. Dual tasking. Attentional blink. Perceptual, motor, social and cognitive aspects of mobile interaction. Workload and stress mitigation issues. Cross-modal effects. Eyes-free interfaces. Multimodal Mobile Interfaces. Cross-modal attention.
  • Mobile phones:. User Interfaces (UIs) of Mobile Phones. Mobile Product Categories. UI Styles in Mobile Phones. Example: Two-softkey UI vs. Navi-key UI. Usability of different UI Styles. Evolving different UI Styles. Case Study: unexpected reactions to Nokia Ringo. Case Study: the Nokia Navi-roller failure.
  • Evaluation in Mobile HCI:. Ethnographic methods. Case study: Indian users. Social aspects of Mobile HCI. Longitudinal User Studies. Example: the Nokia One-Row Keyboard. The Mobile User Experience.
  • Mobile Information Visualization:. Interactivity in mobile visualization. The selection problem and the presentation problem on mobile devices. The off-screen objects issue. New trends in mobile visualization. Mobile Persuasion. Visualizing data about mobile users.
  • In-Car User Interfaces and Safety Issues:. Centralized Control Systems. Examples: COMAND, Connect, iDrive, future concepts. The Keystroke-level model in the Automotive Domain (SAE J2365). Distraction-related crashes. Types of driver distraction. Task performed by drivers with mobile devices (cell phones, navigation systems, Internet services). Measuring driver distraction and behavior.
    • Interaction with Virtual Reality Systems:. Virtual reality and its applications. Examples of medical applications: Treatment of Phobias. Virtual Prototyping. Types of Virtual Reality. Immersion. Presence. Case studies. General architecture of a virtual reality (VR) system. Input peripherals: trackers, data glove, phantom. Output peripherals: head-mounted displays, 3D Glasses, new types of display, 3D projection, CAVE, retinal display, 3D positional audio. Virtual reality in learning, education and training. Serious games. Issues in serious games and virtual reality for education and training.

  • Virtual Humans:. Avatars. Ergonomic dummies. Autonomous agents. Embodied interface agents. General architecture. Applications. Virtual humans in learning and training.
  • Persuasive Technologies:. Definitions. Fogg's Behavior Model (FBM). The functional triad framework. The 8-step design process. Persuasive technologies based on operant conditioning. Persuasion heuristics: reciprocation, commitment and consistency, social proof, liking, authority, scarcity.

RIFERIMENTI PRINCIPALI

  • R. Spence. Information Visualization: Design for Interaction, 2nd edition, Prentice Hall, 2007.
  • C. Lindholm, T. Keinonen. Mobile Usability, McGraw-Hill Education, 2003.
  • W.R. Sherman, A.B. Craig. Understanding Virtual Reality: Interface, Application, and Design, Morgan Kaufmann, 2002.

ARTICOLI INTRODUTTIVI AD ALCUNI TEMI TRATTATI NEL CORSO

Visualizzazione di informazioni ed interfacce multimodali su telefoni cellulari:
Chittaro L., Distinctive aspects of mobile interaction and their implications for the design of multimodal interfaces, Journal on Multimodal User Interfaces, 2010, Vol. 3, No. 3, pp. 157-165. [See abstract and download PDF]
Realta' virtuale per il training:
  • Chittaro L., Ranon R., Web3D Technologies in Learning, Education and Training: Motivations, Issues, Opportunities, Computers & Education Journal, 2007, Vol. 49, No. 1, pp. 3-18. [See abstract and download PDF]
Rischi da distrazione causati da dispositivi mobili:
  • Chittaro L., De Marco L., Driver Distraction Caused by Mobile Devices: Studying and Reducing Safety Risks, Proceedings of International Workshop on Mobile Technologies and Health: Benefits and Risks, 2004. [See abstract and download PDF]
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