Target Acquisition with Force Feedback: The Effect of Different Forces on the User's Performance

Besides realistic haptic rendering of objects, haptic feedback can also be used to provide an abstract feedback channel. This can either be realised by a tactile or a force feedback stimulus. When using forces, care has to be taken that the user's performance is not influenced in a negative way. However, as it is not obvious to determine a suitable force, and currently not many guidelines exist. Therefore, in this paper we investigate the influence on some important parameters that define a force (shape, duration and amplitude). In order to compare different forces, we propose to use the definite integral (Force Integral, FI ) which combines the considered parameters. From the conducted experiment we learn that the FI can be used (within bounds) to make an estimation of the result of the force. Besides this, we also found that above a given FI value, the user's performance degrades significantly.

[1]  Patrick Langdon,et al.  The effect of multiple haptic distractors on theperformance of mtion-impaired users , 2003 .

[2]  I. Scott MacKenzie,et al.  Performance differences in the fingers, wrist, and forearm in computer input control , 1997, CHI.

[3]  Robert J. Stone,et al.  Haptic Feedback: A Brief History from Telepresence to Virtual Reality , 2000, Haptic Human-Computer Interaction.

[4]  Lorna M. Brown,et al.  Non-visual information display using tactons , 2004, CHI EA '04.

[5]  Thomas H. Massie,et al.  The PHANToM Haptic Interface: A Device for Probing Virtual Objects , 1994 .

[6]  Ian Oakley,et al.  Putting the feel in ’look and feel‘ , 2000, CHI.

[7]  R A Abrams,et al.  Optimality in human motor performance: ideal control of rapid aimed movements. , 1988, Psychological review.

[8]  Hong Z. Tan,et al.  Discrimination and identification of finger joint-angle position using active motion , 2007, TAP.

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

[10]  Shumin Zhai,et al.  Scale effects in steering law tasks , 2001, CHI.

[11]  Gerhard Leitner,et al.  An evaluation of sticky and force enhanced targets in multi target situations , 2006, NordiCHI '06.

[12]  Tovi Grossman,et al.  Multimodal selection techniques for dense and occluded 3D virtual environments , 2009, Int. J. Hum. Comput. Stud..

[13]  J.B.F. van Erp,et al.  Vibrotactile waypoint navigation at sea and in the air : two case studies , 2004 .

[14]  Lorna M. Brown,et al.  Tactons: Structured Tactile Messages for Non-Visual Information Display , 2004, AUIC.

[15]  Olivier Bau,et al.  OctoPocus: a dynamic guide for learning gesture-based command sets , 2008, UIST '08.

[16]  D. Chaffin,et al.  An investigation of fitts' law using a wide range of movement amplitudes. , 1976, Journal of motor behavior.

[17]  Karin Coninx,et al.  Force Feedback Magnitude Effects on User's Performance during Target Acquisition: A Pilot Study , 2009, INTERACT.

[18]  Andy Cockburn,et al.  Multimodal feedback for the acquisition of small targets , 2005, Ergonomics.

[19]  Shumin Zhai,et al.  More than dotting the i's --- foundations for crossing-based interfaces , 2002, CHI.

[20]  I. Scott MacKenzie,et al.  Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI , 2004, Int. J. Hum. Comput. Stud..

[21]  Mark Wright,et al.  The Effect of Haptic Feedback and Stereo Graphics in a 3D Target Acquisition Task , 2002 .

[22]  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 .

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