@proceedings {5444681, title = {Discrimination of consonant articulation location by tactile stimulation of the forearm}, year = {2010}, month = {25-26}, pages = {47 -54}, keywords = {consonant articulation location, dorsal forearm skin, Haptic interfaces, localized vibrations map, psychology, speech, speech processing, spoken consonants, tactile cues, tactile sensors, tactile stimulation, touch (physiological)}, doi = {10.1109/HAPTIC.2010.5444681}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/HS10_Wong-Israr-O\%27Malley.pdf}, author = {Wong, E.Y. and Ali Israr and O{\textquoteright}Malley, M.K.} } @proceedings {290, title = {Designing and Implementation of a Tactile Respiratory Management System}, year = {2009}, month = {03/2009}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/290-HSEMB_Abstract_final.pdf}, author = {Dillon P. Eng and Ali Israr and O{\textquoteright}Malley, M.K.} } @proceedings {526, title = {Effects of Force and Displacement Cues while Adapting in a Rhythmic Motor Task}, year = {2009}, pages = {32-33}, address = {Seattle, WA}, abstract = {

This paper explores the effects of magnitude and phase cues on human motor adaptation. Participants were asked to excite virtual second-order systems at their resonance frequencies via a two-degree of freedom haptic interface, with visual and visual plus haptic feedback conditions. Their motor adaptations were studied through catch trials. The results indicate that, i) humans adapt to a nominal virtual system resonant frequency, ii) humans shift to higher and lower natural frequencies during catch trials regardless of feedback modality and force cues, iii) humans can detect changes in natural frequency when gain, magnitude, and phase cues are manipulated independently, and iv) humans are able to detect changes in natural frequency when the feedback (visual or visual plus haptic) is delayed such that the phase shift between the nominal system and catch trial system is zero.

}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/israr2009robotics.pdf}, author = {Ali Israr and Hakan Kapson and Volkan Patoglu and O{\textquoteright}Malley, M.K.} } @proceedings {107, title = {Effects of Magnitude and Phase Cues on Human Motor Adaptation}, year = {2009}, month = {03/2009}, pages = {344-349}, publisher = {IEEE}, address = {Salt Lake city, Utah}, abstract = {

Recent findings have shown that humans can adapt their internal control model to account for the changing dynamics of systems they manipulate. In this paper, we explore the effects of magnitude and phase cues on human motor adaptation. In our experiments, participants excite virtual second-order systems at resonance via a two-degree of freedom haptic interface, with visual and visual plus haptic feedback conditions. Then, we change the virtual system parameters and observe the resulting motor adaptation in catch trials. Through four experimental conditions we demonstrate the effects of magnitude and phase cues on human motor adaptation. First, we show that humans adapt to a nominal virtual system resonant frequency. Second, humans shift to higher and lower natural frequencies during catch trials regardless of feedback modality and force cues. Third, participants can detect changes in natural frequency when gain, magnitude, and phase cues are manipulated independently. Fourth, participants are able to detect changes in natural frequency when the feedback (visual or visual plus haptic) is delayed such that the phase shift between the nominal system and catch trial system is zero. The persistent ability of participants to perform system identification of the dynamic systems which they control, regardless of the cue that is conveyed, demonstrates the human{\textquoteright}s versatility with regard to manual control situations. We intend to further investigate human motor adaptation and the time for adaptation in order to improve the efficacy of shared control methodologies for training and rehabilitation in haptic virtual environments.

}, keywords = {catch trials, internal models, motor adaptation, Rhythmic motion}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/107-0156.pdf}, author = {Ali Israr and Hakan Kapson and Volkan Patoglu and O{\textquoteright}Malley, M.K.} } @article {856, title = {Expertise-Based Performance Measures in a Virtual Training Environment}, journal = {Presence}, volume = {18}, year = {2009}, note = {doi: 10.1162/pres.18.6.449}, month = {2009/12/01}, pages = {449 - 467}, publisher = {MIT Press}, abstract = {

This paper introduces and validates quantitative performance measures for a rhythmic target-hitting task. These performance measures are derived from a detailed analysis of human performance during a month-long training experiment where participants learned to operate a 2-DOF haptic interface in a virtual environment to execute a manual control task. The motivation for the analysis presented in this paper is to determine measures of participant performance that capture the key skills of the task. This analysis of performance indicates that two quantitative measures{\textemdash}trajectory error and input frequency{\textemdash}capture the key skills of the target-hitting task, as the results show a strong correlation between the performance measures and the task objective of maximizing target hits. The performance trends were further explored by grouping the participants based on expertise and examining trends during training in terms of these measures. In future work, these measures will be used as inputs to a haptic guidance scheme that adjusts its control gains based on a real-time assessment of human performance of the task. Such guidance schemes will be incorporated into virtual training environments for humans to develop manual skills for domains such as surgery, physical therapy, and sports.

}, isbn = {1054-7460}, url = {http://dx.doi.org/10.1162/pres.18.6.449}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/856-Huegel2009Presence.pdf}, author = {Joel C. Huegel and Ozkan Celik and Ali Israr and O{\textquoteright}Malley, M.K.} } @proceedings {108, title = {A Low Cost Vibrotactile Array to Manage Respiratory Motion}, year = {2009}, month = {03/2009}, publisher = {IEEE}, address = {Salt Lake city, Utah}, abstract = {

We present a tactile Respiratory Management System (tRMS) to manage and control breathing patterns of cancer patients undergoing radiation therapy. The system comprises of an array of small vibrating motors and a control box that supplies power to and provides a control interface for up to twelve motors through the parallel port of a standard personal computer. The vibrotactile array can be fastened along the forearm, arm, thigh, leg or abdomen in any configuration using Velcro and fabric wraps. All motors are operated in a binary fashion, i.e. on or off, with quick response time and perceivable vibration magnitudes. The tRMS system is inexpensive and portable, providing spatiotemporal variations in tactile cues to regulate respiratory motion during radiotherapy. The system will also be used in future psychophysical studies to determine effective use of tactile cues to control human motor actions.

}, keywords = {Tactile feedback, vibrotactile array}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/108-0236.pdf}, author = {Ali Israr and Dillon P. Eng and Sastry S. Vedam and O{\textquoteright}Malley, M.K.} } @article {102, title = {Passive and Active Discrimination of Natural Frequency of Virtual Dynamic System}, journal = {IEEE Transactions on Haptics}, volume = {2}, number = {1}, year = {2009}, month = {02/2009}, pages = {40-51}, doi = {10.1109/TOH.2008.21}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/102-Israr-Li-Patoglu-O\%27Malley_IEEEToH_2\%281\%29_2009FINAL.pdf}, author = {Ali Israr and Yanfang Li and Volkan Patoglu and O{\textquoteright}Malley, M.K.} } @proceedings {9872945, title = {Passive and active kinesthetic perception just-noticeable-difference for natural frequency of virtual dynamic systems}, year = {2008}, note = {

active kinesthetic perception;passive kinesthetic perception;just-noticeable-difference;virtual second order dynamic systems;degree-of-freedom haptic device;haptic sensory feedback;virtual resonance task;visual feedback;

}, month = {03/2008}, pages = {25 - 31}, publisher = {IEEE}, address = {Reno, NE, USA}, abstract = {

This paper investigates the just-noticeable-difference (JND) for natural frequency of virtual second order dynamic systems. Using a one degree-of-freedom haptic device, visual and/or haptic sensory feedback were presented during interactions with the system. Participants were instructed to either perceive passively or actively excite the system in order to discriminate natural frequencies. The JND for this virtual resonance task ranged from 3.99 \% to 6.96 \% for reference frequencies of 1 Hz and 2 Hz. Results show that sensory feedback has a significant effect on JND in passive perception, with combined visual and haptic feedback enabling the best discrimination performance. In active perception, there is no significant difference on JND with haptic and combined visual and haptic feedback. There is also no significant difference between active perception and passive perception for this JND experiment. The presentation of systems with equivalent natural frequencies but different spring stiffness resulted in no large bias toward larger stiffness and no significant difference in JND for equivalent systems. This finding indicates that human participants do not discriminate natural frequency based on the maximum force magnitude perceived, as indicated by prior studies.

}, keywords = {Haptic interfaces, visual perception}, issn = {978-1-4244-2005-6}, doi = {10.1109/HAPTICS.2008.4479908}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4479908}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/58-HapticSymposium2008_Li.pdf}, author = {Yanfang Li and Ali Israr and Volkan Patoglu and O{\textquoteright}Malley, M.K.} }