Abstract
It is commonly known that a physical textured path can be followed by indirect touch through a probe also in absence of vision if sufficiently informative cues are delivered by the other sensory channels, but prior research indicates that the level of performance while following a virtual path on a touchscreen depends on the type and channel such cues belong to. The re-enactment of oriented forces, as they are induced by localized obstacles in probe-based exploration, may be important to equalize the performance between physical and virtual path following. Using a stylus attached to a force-feedback arm, an uneven path marked by virtual bars was traversed while time and positions were measured under normal sensory conditions, as well as in absence of vision or hearing. Alternatively, participants followed the same path on a wooden tablet provided with physical bars in relief (i.e., without receiving synthetic force) under the same conditions. The visual conditions were found to be significantly faster than the non-visual conditions. However, there was no significant advantage of traversing either path. In contrast to previous experiments in which the virtual bars were rendered using vibrotactile and/or auditory cues, comparable times to traverse the physical and virtual path were found also when vision was disabled. Our results hence suggest that users who are deprived of vision follow textured virtual paths as efficiently as physical paths, if unevenness is rendered using restorative force cues through a stylus.
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References
Accot J, Zhai S (1997) Beyond Fitts’ law: models for trajectory-based HCI tasks. In: Proceedings of the ACM SIGCHI conference on human factors in computing systems, CHI ’97, pp 295–302. ACM, New York, NY, USA. https://doi.org/10.1145/258549.258760
Accot J, Zhai S (1999) Performance evaluation of input devices in trajectory-based tasks: an application of the steering law. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI ’99, pp 466–472. ACM, New York, NY, USA. https://doi.org/10.1145/302979.303133
Benedetti F (2002) Physical response to collision between deformable objects. Technical report. EPFL, Lausanne, Switzerland
Cho Y, Bianchi A, Marquardt N, Bianchi-Berthouze N (2016) RealPen: providing realism in handwriting tasks on touch surfaces using auditory-tactile feedback. In: Proceedings of the 29th annual symposium on user interface software and technology, UIST ’16, pp 195–205. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/2984511.2984550
Crossan A, Brewster S (2008) Multimodal trajectory playback for teaching shape information and trajectories to visually impaired computer users. ACM Trans Access Comput 1(2):1–34. https://doi.org/10.1145/1408760.1408766
Culbertson H, Kuchenbecker KJ (2017) Importance of matching physical friction, hardness, and texture in creating realistic haptic virtual surfaces. IEEE Trans Haptics 10(1):63–74
Culbertson H, Unwin J, Kuchenbecker KJ (2014) Modeling and rendering realistic textures from unconstrained tool-surface interactions. IEEE Trans Haptics 7(3):381–393
Del Piccolo A, Rocchesso D, Papetti S (2018) Path following in non-visual conditions. IEEE Trans Haptics 12(1):56–67
Fielder T, Vardar Y (2019) A novel texture rendering approach for electrostatic displays. In: International workshop on haptic and audio interaction design—HAID2019. Lille, France. https://hal.archives-ouvertes.fr/hal-02011782
Fukushi T, Ashe J (2003) Adaptation of arm trajectory during continuous drawing movements in different dynamic environments. Exp Brain Res 148:95–104. https://doi.org/10.1007/s00221-002-1260-0
Gao B, Kim H, Lee H, Lee J, Kim JI (2018) Effects of continuous auditory feedback on drawing trajectory-based finger gestures. IEEE Trans Human-Mach Syst 48(6):658–669. https://doi.org/10.1109/THMS.2018.2850329
Hwang J, Hwang W (2011) Vibration perception and excitatory direction for haptic devices. J Intell Manuf 22:17–27. https://doi.org/10.1007/s10845-009-0277-7
Moore M, Wilhelms J (1988) Collision detection and response for computer animation. SIGGRAPH Comput Graph 22(4):289–298. https://doi.org/10.1145/378456.378528
Moscatelli A, Bianchi M, Serio A, Al Atassi O, Fani S, Terekhov A, Hayward V, Ernst M, Bicchi A (2014) A change in the fingertip contact area induces an illusory displacement of the finger. In: International conference on human haptic sensing and touch enabled computer applications, pp 72–79. Springer
Nancel M, Lank E (2017) Modeling user performance on curved constrained paths. In: Proceedings of the 2017 CHI conference on human factors in computing systems, CHI ’17, pp 244–254. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3025453.3025951
Pastel R (2006) Measuring the difficulty of steering through corners. In: Proceedings of the SIGCHI conference on human factors in computing systems, CHI ’06, pp 1087–1096. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/1124772.1124934
Robles-De-La-Torre G, Hayward V (2001) Force can overcome object geometry in the perception of shape through active touch. Nature 412(6845):445–448
Rocchesso D, Delle Monache S, Papetti S (2016) Multisensory texture exploration at the tip of the pen. Int J Human-Comput Stud 85:47–56. https://doi.org/10.1016/j.ijhcs.2015.07.005 (Data Sonification and Sound Design in Interactive Systems)
Shultz C, Peshkin M, Colgate JE (2018) The application of tactile, audible, and ultrasonic forces to human fingertips using broadband electroadhesion. IEEE Trans Haptics 11(2):279–290
Silva AJ, Ramirez OAD, Vega VP, Oliver JPO (2009) Phantom omni haptic device: kinematic and manipulability. In: Proceedings of 2009 electronics, robotics and automotive mechanics conference (CERMA), pp 193–198. Cuernavaca, Morelos, México. https://doi.org/10.1109/CERMA.2009.55
Stanton TR, Spence C (2020) The influence of auditory cues on bodily and movement perception. Front Psychol 10:3001. https://doi.org/10.3389/fpsyg.2019.03001
Sun M, Ren X, Cao X (2010) Effects of multimodal error feedback on human performance in steering tasks. J Inf Process 18:284–292. https://doi.org/10.2197/ipsjjip.18.284
Sun M, Ren X, Zhai S, Mukai T (2012). An investigation of the relationship between texture and human performance in steering tasks. In: Proceedings of the 10th Asia Pacific conference on computer human interaction, APCHI ’12, pp 1–6. ACM, New York, NY, USA. https://doi.org/10.1145/2350046.2350048
Tajadura-Jiménez A, Bianchi-Berthouze N, Furfaro E, Bevilacqua F (2015) Sonification of surface tapping changes behavior, surface perception, and emotion. IEEE MultiMedia 22(1):48–57
Visell Y, Giordano BL, Millet G, Cooperstock JR (2011) Vibration influences haptic perception of surface compliance during walking. PLoS One 6(3):e17697
Wang Q, Ren X, Sarcar S, Sun X (2016) EV-Pen: leveraging electrovibration haptic feedback in pen interaction. In: Proceedings of the 2016 ACM international conference on interactive surfaces and spaces, ISS ’16, pp 57–66. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/2992154.2992161
Wiertlewski M, Fenton Friesen R, Colgate JE (2016) Partial squeeze film levitation modulates fingertip friction. Proc Natl Acad Sci 113(33):9210–9215. https://doi.org/10.1073/pnas.1603908113
Xie M, Niu X (2020) A 3D roaming and collision detection algorithm applicable for massive spatial data. PLoS one 15(2):e0229038
Yamanaka S, Miyashita H (2019) Modeling pen steering performance in a single constant-width curved path. In: Proceedings of the 2019 ACM international conference on interactive surfaces and spaces, ISS ’19, pp 65–76. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3343055.3359697
Yamanaka S, Stuerzlinger W, Miyashita H (2017) Steering through sequential linear path segments. In: Proceedings of the 2017 CHI conference on human factors in computing systems, CHI ’17, pp 232–243. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3025453.3025836
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Fontana, F., Muzzolini, F. & Rocchesso, D. Importance of force feedback for following uneven virtual paths with a stylus. J Multimodal User Interfaces 16, 183–191 (2022). https://doi.org/10.1007/s12193-021-00384-w
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DOI: https://doi.org/10.1007/s12193-021-00384-w