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Effective Techniques in Writing HCI Research Papers and Presentations

This resource provides guidance on writing high-quality research papers and presentations for the field of Human-Computer Interaction. It covers topics such as hypothesis formulation, design explanations, system evaluation, and comparing to related work. It also includes a schedule of demo times and an overview of pointing device evaluation using Fitts' Law and other techniques. The resource also explores trajectory-based tasks, the use of Fitts' Law in gaming, and the kinematic chain concept. Additionally, it includes readings on information visualization, specifically focusing on using vision to think and merging graphical and symbolic representations for tabular information.

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Effective Techniques in Writing HCI Research Papers and Presentations

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  1. Input Techniques Scott Klemmer · 02 November 2006

  2. Final project papers & presentations • Final papers: 4 pages in the traditional CHI format or 6 pages in the work-in-progress format (same effective length, I suggest the latter as you can submit it to CHI WIP) • Final presentations: 4 minutes each, followed by posters/demos • There will be outside reviewers, also folks from industry will be coming

  3. How to write a good paper • Have a clear hypothesis • Explain design ideas, system, and eval • Read your critiques of earlier work • Compare your results to 4-5 pieces of related work • scholar.google.com is a great resource

  4. Milestone 2 demo times 1:30 - Deepak Kumar and David Tu 1:40 - David Akers 1:50 - Luping May, Kevin Collins, Scott Doorley 2:00 - Malte F. Jung, Howard Kao, Ravi Teja Tiruvury, Parul Vora 2:10 - Becky Currano and Murad Akhter 2:20 - Christina Chan 2:30 - Tom Hurlbutt 2:40 - Dhyanesh Narayanan 2:50 - BREAK 3:00 - Dean Eckles, Tony Tulathimutte, Tanya Breshears 3:10 - Jonathan Effrat and May Tan 3:20 - Shailendra Rao and Abhay Sukumaran 3:30 - Adam Kahn and Doug Wightman 3:40 - Brandon Burr 3:50 - Angela Kessell and Chris Chan

  5. W D Pointing Device Evaluation • Experimental task: target acquisition • abstract, elementary, essential • Real task: interacting with GUI’s • pointing is fundamental

  6. Index of Difficulty (ID ) Index of Performance (IP ) = ID/MT (bits/s) W Bandwidth Throughput D Fitts’ Law (Paul Fitts, 1954) Task difficulty is analogous to information - execution interpreted as human rate of information processing

  7. 50 years of data Reference: MacKenzie, I. Fitts’ Law as a research and design tool in human computer interaction. Human Computer Interaction, 1992, Vol. 7, pp. 91-139

  8. What does Fitts’ law really model? Target Width Velocity (c) (a) (b) Distance

  9. Pop-up Linear Menu Pop-up Pie Menu Today Sunday Monday Tuesday Wednesday Thursday Friday Saturday Using these law’s to predict performance Which will be faster on average? • pie menu (bigger targets & less distance)?

  10. Beyond pointing: Trajectory based tasks

  11. Gaming Fitts Law • The Macintosh menu bar and taskbar and the Windows XP Taskbar have “infinite height” improving their Fitts Law performance • …as does the back button in the Firefox browser

  12. Yves Guiard: Kinematic Chain • Asymmetry in bimanual activities • “Under standard conditions, the spontaneous writing speed of adults is reduced by some 20% when instructions prevent the non-preferred hand from manipulating the page” • Non-dominant hand (NDH) provides a frame of reference for the dominant hand (DH) • NDH operates at a course temporal and spatial scale; DH operates at a fine temporal and spatial scale

  13. Next Time… Information Visualization Readings in Information Visualization: Using Vision to Think, Chapter 1, Stuart K. Card, Jock D. Mackinlay, Ben Shneiderman The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+Context Visualization for Tabular Information, Ramana Rao and Stuart K. Card

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