Quantifying the effects of reduced update rate on motor performance and user experience

Sung Hun Sim; Bing Wu; Kyle Brady; Andinet Enquobahrie; Ricardo Ortiz; Sreekanth Arikatla

doi:10.1007/978-3-319-41685-4_23

Quantifying the effects of reduced update rate on motor performance and user experience

Sung Hun Sim, Bing Wu, Kyle Brady, Andinet Enquobahrie, Ricardo Ortiz, Sreekanth Arikatla

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We report two experiments that investigated the impact of reduced visual updating speed on users’ motor performance in a Fitts’-law task. The update rate of visual feedback was set between 10 and 30 Hz. In Experiment 1, the trials were blocked by update rate, allowing participants to get adapted to the reduced visual feedback. In Experiment 2, all trials of different update rates were intermixed and presented in random order. Both experiments found that movement time increased with decreasing update rate. Regression analyses revealed that the Fitts’-law model could be extended to accommodate the findings by including a multiplicative component of frame interval (reciprocal of update rate). The participants’ subjective experience reduced rapidly when the update rate was lower than 20 Hz, and the rating data could be modelled using movement time. The results were discussed in the context of implications for developing VR/AR applications.

Original language	English (US)
Title of host publication	Advances in Ergonomics Modeling, Usability
Editors	Marcelo Soares, Tareq Z. Ahram, Christianne Falcao
Publisher	Springer Verlag
Pages	255-265
Number of pages	11
ISBN (Print)	9783319416847
DOIs	https://doi.org/10.1007/978-3-319-41685-4_23
State	Published - 2017
Event	International Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016 - Walt Disney World, United States Duration: Jul 27 2016 → Jul 31 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	486
ISSN (Print)	2194-5357

Other

Other	International Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016
Country/Territory	United States
City	Walt Disney World
Period	7/27/16 → 7/31/16

Keywords

Feedback delay
Fitts’ law
Human performance modeling
Update rate

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-41685-4_23

Cite this

Sim, S. H., Wu, B., Brady, K., Enquobahrie, A., Ortiz, R., & Arikatla, S. (2017). Quantifying the effects of reduced update rate on motor performance and user experience. In M. Soares, T. Z. Ahram, & C. Falcao (Eds.), Advances in Ergonomics Modeling, Usability (pp. 255-265). (Advances in Intelligent Systems and Computing; Vol. 486). Springer Verlag. https://doi.org/10.1007/978-3-319-41685-4_23

Quantifying the effects of reduced update rate on motor performance and user experience. / Sim, Sung Hun; Wu, Bing; Brady, Kyle et al.
Advances in Ergonomics Modeling, Usability. ed. / Marcelo Soares; Tareq Z. Ahram; Christianne Falcao. Springer Verlag, 2017. p. 255-265 (Advances in Intelligent Systems and Computing; Vol. 486).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sim, SH, Wu, B, Brady, K, Enquobahrie, A, Ortiz, R & Arikatla, S 2017, Quantifying the effects of reduced update rate on motor performance and user experience. in M Soares, TZ Ahram & C Falcao (eds), Advances in Ergonomics Modeling, Usability. Advances in Intelligent Systems and Computing, vol. 486, Springer Verlag, pp. 255-265, International Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016, Walt Disney World, United States, 7/27/16. https://doi.org/10.1007/978-3-319-41685-4_23

@inproceedings{5ebd3b852e274c04aa14b82b55f97471,

title = "Quantifying the effects of reduced update rate on motor performance and user experience",

abstract = "We report two experiments that investigated the impact of reduced visual updating speed on users{\textquoteright} motor performance in a Fitts{\textquoteright}-law task. The update rate of visual feedback was set between 10 and 30 Hz. In Experiment 1, the trials were blocked by update rate, allowing participants to get adapted to the reduced visual feedback. In Experiment 2, all trials of different update rates were intermixed and presented in random order. Both experiments found that movement time increased with decreasing update rate. Regression analyses revealed that the Fitts{\textquoteright}-law model could be extended to accommodate the findings by including a multiplicative component of frame interval (reciprocal of update rate). The participants{\textquoteright} subjective experience reduced rapidly when the update rate was lower than 20 Hz, and the rating data could be modelled using movement time. The results were discussed in the context of implications for developing VR/AR applications.",

keywords = "Feedback delay, Fitts{\textquoteright} law, Human performance modeling, Update rate",

author = "Sim, {Sung Hun} and Bing Wu and Kyle Brady and Andinet Enquobahrie and Ricardo Ortiz and Sreekanth Arikatla",

note = "Funding Information: The work was supported in part by NIH grants 5R00EB008710 & 9R44OD018334. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2017.; International Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016 ; Conference date: 27-07-2016 Through 31-07-2016",

year = "2017",

doi = "10.1007/978-3-319-41685-4_23",

language = "English (US)",

isbn = "9783319416847",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "255--265",

editor = "Marcelo Soares and Ahram, {Tareq Z.} and Christianne Falcao",

booktitle = "Advances in Ergonomics Modeling, Usability",

}

TY - GEN

T1 - Quantifying the effects of reduced update rate on motor performance and user experience

AU - Sim, Sung Hun

AU - Wu, Bing

AU - Brady, Kyle

AU - Enquobahrie, Andinet

AU - Ortiz, Ricardo

AU - Arikatla, Sreekanth

N1 - Funding Information: The work was supported in part by NIH grants 5R00EB008710 & 9R44OD018334. Publisher Copyright: © Springer International Publishing Switzerland 2017.

PY - 2017

Y1 - 2017

N2 - We report two experiments that investigated the impact of reduced visual updating speed on users’ motor performance in a Fitts’-law task. The update rate of visual feedback was set between 10 and 30 Hz. In Experiment 1, the trials were blocked by update rate, allowing participants to get adapted to the reduced visual feedback. In Experiment 2, all trials of different update rates were intermixed and presented in random order. Both experiments found that movement time increased with decreasing update rate. Regression analyses revealed that the Fitts’-law model could be extended to accommodate the findings by including a multiplicative component of frame interval (reciprocal of update rate). The participants’ subjective experience reduced rapidly when the update rate was lower than 20 Hz, and the rating data could be modelled using movement time. The results were discussed in the context of implications for developing VR/AR applications.

AB - We report two experiments that investigated the impact of reduced visual updating speed on users’ motor performance in a Fitts’-law task. The update rate of visual feedback was set between 10 and 30 Hz. In Experiment 1, the trials were blocked by update rate, allowing participants to get adapted to the reduced visual feedback. In Experiment 2, all trials of different update rates were intermixed and presented in random order. Both experiments found that movement time increased with decreasing update rate. Regression analyses revealed that the Fitts’-law model could be extended to accommodate the findings by including a multiplicative component of frame interval (reciprocal of update rate). The participants’ subjective experience reduced rapidly when the update rate was lower than 20 Hz, and the rating data could be modelled using movement time. The results were discussed in the context of implications for developing VR/AR applications.

KW - Feedback delay

KW - Fitts’ law

KW - Human performance modeling

KW - Update rate

UR - http://www.scopus.com/inward/record.url?scp=84992665682&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84992665682&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-41685-4_23

DO - 10.1007/978-3-319-41685-4_23

M3 - Conference contribution

AN - SCOPUS:84992665682

SN - 9783319416847

T3 - Advances in Intelligent Systems and Computing

SP - 255

EP - 265

BT - Advances in Ergonomics Modeling, Usability

A2 - Soares, Marcelo

A2 - Ahram, Tareq Z.

A2 - Falcao, Christianne

PB - Springer Verlag

T2 - International Conference on Ergonomics Modeling, Usability and Special Populations, AHFE 2016

Y2 - 27 July 2016 through 31 July 2016

ER -

Quantifying the effects of reduced update rate on motor performance and user experience

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this