Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI

This paper makes seven recommendations to HCI researchers wishing to construct Fitts' law models for either movement time prediction, or for the comparison of conditions in an experiment. These seven recommendations support (and in some cases supplement) the methods described in the recent ISO 9241-9 standard on the evaluation of pointing devices. In addition to improving the robustness of Fitts' law models, these recommendations (if widely employed) will improve the comparability and consistency of forthcoming publications. Arguments to support these recommendations are presented, as are concise reviews of 24 published Fitts' law models of the mouse, and 9 studies that used the new ISO standard.

[1]  Ian Mackenzie,et al.  Fitts' law as a performance model in human-computer interaction , 1992 .

[2]  A. H. Norris,et al.  Speed and accuracy of movement and their changes with age. , 1969, Acta psychologica.

[3]  M Akamatsu,et al.  Please Scroll down for Article Ergonomics a Comparison of Tactile, Auditory, and Visual Feedback in a Pointing Task Using a Mouse-type Device , 2022 .

[4]  Samuel T. Mayo,et al.  Statistical methods in education and psychology , 1979 .

[5]  G. Glass,et al.  Statistical methods in education and psychology, 3rd ed. , 1996 .

[6]  Sarah A. Douglas,et al.  Differences in movement microstructure of the mouse and the finger-controlled isometric joystick , 1996, CHI.

[7]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[8]  G. A. Barnard,et al.  Transmission of Information: A Statistical Theory of Communications. , 1961 .

[9]  Paul Kabbash,et al.  Human performance using computer input devices in the preferred and non-preferred hands , 1993, INTERCHI.

[10]  Tom Jones,et al.  Psychology of Computer Use: XVI. Effect of Computer-Pointing Devices on Children's Processing Rate , 1989, Perceptual and motor skills.

[11]  I. Scott MacKenzie,et al.  An Isometric Joystick as a Pointing Device for Handheld Information Terminals , 2001, Graphics Interface.

[12]  S. A. Wallace,et al.  Decision time and movement time as a function of response complexity in retarded persons. , 1978, American journal of mental deficiency.

[13]  R Plamondon,et al.  Speed/accuracy trade-offs in target-directed movements , 1997, Behavioral and Brain Sciences.

[14]  A. Salmoni,et al.  Fitts' Reciprocal Tapping Task, a Measure of Motor Capacity? , 1979, Perceptual and motor skills.

[15]  I. Scott MacKenzie,et al.  Prediction of Pointing and Dragging Times in Graphical User Interfaces , 1994, Interact. Comput..

[16]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[17]  Darius Miniotas Application of Fitts' law to eye gaze interaction , 2000, CHI Extended Abstracts.

[18]  Allen Newell,et al.  The keystroke-level model for user performance time with interactive systems , 1980, CACM.

[19]  Shumin Zhai,et al.  Human on-line response to target expansion , 2003, CHI '03.

[20]  Allen Newell,et al.  The psychology of human-computer interaction , 1983 .

[21]  Abigail Sellen,et al.  A comparison of input devices in element pointing and dragging tasks , 1991, CHI.

[22]  Sarah A. Douglas,et al.  Testing pointing device performance and user assessment with the ISO 9241, Part 9 standard , 1999, CHI '99.

[23]  Shumin Zhai,et al.  Movement model, hits distribution and learning in virtual keyboarding , 2002, CHI.

[24]  Gerrit C. van der Veer,et al.  Psychology of Computer Use , 1983 .

[25]  Amiel Feinstein,et al.  Transmission of Information. , 1962 .

[26]  Peter Robinson,et al.  Cursor measures for motion-impaired computer users , 2002, ASSETS.

[27]  G. Stelmach Information processing in motor control and learning , 1978 .

[28]  I. Scott MacKenzie,et al.  Movement time prediction in human-computer interfaces , 1992 .

[29]  Allen Newell,et al.  The Prospects for Psychological Science in Human-Computer Interaction , 1985, Hum. Comput. Interact..

[30]  Poika Isokoski,et al.  Speed-accuracy measures in a population of six mice , 2002 .

[31]  I.,et al.  Fitts' Law as a Research and Design Tool in Human-Computer Interaction , 1992, Hum. Comput. Interact..

[32]  Sarah A. Douglas,et al.  The effect of reducing homing time on the speed of a finger-controlled isometric pointing device , 1994, CHI Conference Companion.

[33]  Douglas J. Gillan,et al.  How does Fitts' law fit pointing and dragging? , 1990, CHI '90.

[34]  P. Fitts,et al.  Information capacity of discrete motor responses under different cognitive sets. , 1966, Journal of experimental psychology.

[35]  E. Hoffmann,et al.  Geometrical conditions for ballistic and visually controlled movements. , 1988, Ergonomics.

[36]  Scott MacKenzie,et al.  Using Fitts''law to model key repeat time in text entry models , 2002 .

[37]  Kellogg S. Booth,et al.  Fitts''Law Studies of Directional Mouse Movement , 1991 .

[38]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. 1954. , 1992, Journal of experimental psychology. General.

[39]  Johanna D. Moore,et al.  Proceedings of the Conference on Human Factors in Computing Systems , 1989 .

[40]  P. Fitts,et al.  INFORMATION CAPACITY OF DISCRETE MOTOR RESPONSES. , 1964, Journal of experimental psychology.

[41]  I. Scott MacKenzie,et al.  Lag as a determinant of human performance in interactive systems , 1993, INTERCHI.

[42]  I. Scott MacKenzie,et al.  Effects of output display and control - display gain on human performance in interactive systems , 1994, Behav. Inf. Technol..

[43]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[44]  B. Kantowitz,et al.  Fitts' law with an isometric controller: effects of order of control and control-display gain. , 1988, Journal of motor behavior.

[45]  H. Zelaznik,et al.  Sources of Inaccuracy in Rapid Movement , 1978 .

[46]  Sarah A. Douglas,et al.  The effect of reducing homing time on the speed of a finger-controlled isometric pointing device , 1994, CHI.

[47]  Masud Mansuripur,et al.  Introduction to information theory , 1986 .

[48]  Todd J. Johnsgard Fitt?s law with a virtual reality glove and a mouse: effects of gain , 1994 .

[49]  Brian W. Epps Comparison of Six Cursor Control Devices Based on Fitts' Law Models , 1986 .

[50]  A. T. Welford,et al.  The fundamentals of skill , 1968 .

[51]  Donald H. Sanders,et al.  Statistics: A Fresh Approach , 1976 .

[52]  Douglas J. Gillan,et al.  How Should Fitts' Law be Applied to Human-Computer Interaction? , 1992, Interact. Comput..

[53]  Robert Sessions Woodworth,et al.  THE ACCURACY OF VOLUNTARY MOVEMENT , 1899 .

[54]  S. Mackenzie,et al.  A comparison of input device in elemental pointing and dragging task , 1991, CHI 1991.

[55]  Tom Jones,et al.  An Empirical Study of Children's Use of Computer Pointing Devices , 1991 .

[56]  Stuart K. Card,et al.  Evaluation of mouse, rate-controlled isometric joystick, step keys, and text keys, for text selection on a CRT , 1987 .

[57]  Ted Selker,et al.  Force-to-motion functions for pointing , 1990, INTERACT.

[58]  Wolfgang Stuerzlinger,et al.  Laser Pointers as Collaborative Pointing Devices , 2002, Graphics Interface.

[59]  I. Scott MacKenzie,et al.  An Evaluation of Two Input Devices for Remote Pointing , 2001, EHCI.

[60]  I. Scott MacKenzie,et al.  A comparison of three selection techniques for touchpads , 1998, CHI.

[61]  Ivan Poupyrev,et al.  Haptic feedback for pen computing: directions and strategies , 2004, CHI EA '04.

[62]  Muni S. Srivastava,et al.  Regression Analysis: Theory, Methods, and Applications , 1991 .

[63]  I. Scott MacKenzie,et al.  Accuracy measures for evaluating computer pointing devices , 2001, CHI.

[64]  K. Flowers,et al.  Handedness and controlled movement. , 1975, British journal of psychology.

[65]  Yves Guiard,et al.  Navigation as multiscale pointing: extending Fitts' model to very high precision tasks , 1999, CHI '99.

[66]  Kori Inkpen Quinn,et al.  Drag-and-drop versus point-and-click mouse interaction styles for children , 2001, TCHI.

[67]  I. Scott MacKenzie,et al.  Theoretical upper and lower bounds on typing speed using a stylus and a soft keyboard , 1995, Behav. Inf. Technol..

[68]  I. MacKenzie,et al.  A note on the information-theoretic basis of Fitts' law. , 1989, Journal of motor behavior.

[69]  MacKenzie Is A Note on the Information-Theoretic Basis for Fitts’ Law , 1989 .

[70]  A. T. Welford,et al.  THE MEASUREMENT OF SENSORY-MOTOR PERFORMANCE : SURVEY AND REAPPRAISAL OF TWELVE YEARS' PROGRESS , 1960 .

[71]  Brian D. Fisher,et al.  Mouse and touchscreen selection in the upper and lower visual fields , 2004, CHI.

[72]  E. R. F. W. Grossman,et al.  The Information-Capacity of the Human Motor-System in Pursuit Tracking , 1960 .

[73]  Sung H. Han,et al.  A Comparison of Four Input Devices for the Macintosh Interface , 1990 .

[74]  J. Kelso,et al.  Theoretical concepts and strategies for understanding perceptual-motor skill: from information capacity in closed systems to self-organization in open, nonequilibrium systems. , 1992, Journal of experimental psychology. General.

[75]  I. Scott MacKenzie,et al.  Extending Fitts' law to two-dimensional tasks , 1992, CHI.

[76]  Shumin Zhai,et al.  Characterizing computer input with Fitts' law parameters-the information and non-information aspects of pointing , 2004, Int. J. Hum. Comput. Stud..

[77]  Anthony J. Hornof,et al.  Visual search and mouse-pointing in labeled versus unlabeled two-dimensional visual hierarchies , 2001, TCHI.