Optimal Sensor Position for a Computer Mouse

Sunjun Kim; Byungjoo Lee; Thomas van Gemert; Antti Oulasvirta

doi:10.1145/3313831.3376735

Optimal Sensor Position for a Computer Mouse

Sunjun Kim, Byungjoo Lee, Thomas van Gemert, Antti Oulasvirta

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

19 Citations (Scopus)

108 Downloads (Pure)

Abstract

Computer mice have their displacement sensors in various locations (center, front, and rear). However, there has been little research into the effects of sensor position or on engineering approaches to exploit it. This paper first discusses the mechanisms via which sensor position affects mouse movement and reports the results from a study of a pointing task in which the sensor position was systematically varied. Placing the sensor in the center turned out to be the best compromise: improvements over front and rear were in the 11–14% range for throughput and 20–23% for path deviation. However, users varied in their personal optima. Accordingly, variable-sensor position mice are then presented, with a demonstration that high accuracy can be achieved with two static optical sensors. A virtual sensor model is described that allows software-side repositioning of the sensor. Individual-specific calibration should yield an added 4% improvement in throughput over the default center position.

Original language	English
Title of host publication	CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	ACM
Number of pages	13
ISBN (Electronic)	978-1-4503-6708-0
DOIs	https://doi.org/10.1145/3313831.3376735
Publication status	Published - 21 Apr 2020
MoE publication type	A4 Conference publication
Event	ACM SIGCHI Annual Conference on Human Factors in Computing Systems - Honolulu, United States Duration: 26 Apr 2020 → 30 Apr 2020 https://chi2020.acm.org/

Conference

Conference	ACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated title	ACM CHI
Country/Territory	United States
City	Honolulu
Period	26/04/2020 → 30/04/2020
Internet address	https://chi2020.acm.org/

Keywords

computer
mouse
sensor position
pointing performance
virtual sensor position
optimization

Access to Document

10.1145/3313831.3376735Licence: Other

chi20c-sub8248-cam-i16
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Final published version, 4.75 MBLicence: Other

https://arxiv.org/abs/2001.03352

COMPUTED: Computational User Interface Design
Feit, A. (Project Member), Oulasvirta, A. (Principal investigator), Todi, K. (Project Member), Dayama, N. (Project Member), Koch, J. (Project Member), Nancel, M. (Project Member), Brückner, L. (Project Member), Shiripour, M. (Project Member), Leiva, L. (Project Member), Kim, S. (Project Member), Liao, Y.-C. (Project Member) & Nioche, A. (Project Member)
27/03/2015 → 31/03/2020
Project: EU: ERC grants

Cite this

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title = "Optimal Sensor Position for a Computer Mouse",

abstract = "Computer mice have their displacement sensors in various locations (center, front, and rear). However, there has been little research into the effects of sensor position or on engineering approaches to exploit it. This paper first discusses the mechanisms via which sensor position affects mouse movement and reports the results from a study of a pointing task in which the sensor position was systematically varied. Placing the sensor in the center turned out to be the best compromise: improvements over front and rear were in the 11–14% range for throughput and 20–23% for path deviation. However, users varied in their personal optima. Accordingly, variable-sensor position mice are then presented, with a demonstration that high accuracy can be achieved with two static optical sensors. A virtual sensor model is described that allows software-side repositioning of the sensor. Individual-specific calibration should yield an added 4% improvement in throughput over the default center position.",

keywords = "computer, mouse, sensor position, pointing performance, virtual sensor position, optimization",

author = "Sunjun Kim and Byungjoo Lee and {van Gemert}, Thomas and Antti Oulasvirta",

note = "| openaire: EC/H2020/637991/EU//COMPUTED; ACM SIGCHI Annual Conference on Human Factors in Computing Systems, ACM CHI ; Conference date: 26-04-2020 Through 30-04-2020",

year = "2020",

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day = "21",

doi = "10.1145/3313831.3376735",

language = "English",

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TY - GEN

T1 - Optimal Sensor Position for a Computer Mouse

AU - Kim, Sunjun

AU - Lee, Byungjoo

AU - van Gemert, Thomas

AU - Oulasvirta, Antti

N1 - | openaire: EC/H2020/637991/EU//COMPUTED

PY - 2020/4/21

Y1 - 2020/4/21

N2 - Computer mice have their displacement sensors in various locations (center, front, and rear). However, there has been little research into the effects of sensor position or on engineering approaches to exploit it. This paper first discusses the mechanisms via which sensor position affects mouse movement and reports the results from a study of a pointing task in which the sensor position was systematically varied. Placing the sensor in the center turned out to be the best compromise: improvements over front and rear were in the 11–14% range for throughput and 20–23% for path deviation. However, users varied in their personal optima. Accordingly, variable-sensor position mice are then presented, with a demonstration that high accuracy can be achieved with two static optical sensors. A virtual sensor model is described that allows software-side repositioning of the sensor. Individual-specific calibration should yield an added 4% improvement in throughput over the default center position.

AB - Computer mice have their displacement sensors in various locations (center, front, and rear). However, there has been little research into the effects of sensor position or on engineering approaches to exploit it. This paper first discusses the mechanisms via which sensor position affects mouse movement and reports the results from a study of a pointing task in which the sensor position was systematically varied. Placing the sensor in the center turned out to be the best compromise: improvements over front and rear were in the 11–14% range for throughput and 20–23% for path deviation. However, users varied in their personal optima. Accordingly, variable-sensor position mice are then presented, with a demonstration that high accuracy can be achieved with two static optical sensors. A virtual sensor model is described that allows software-side repositioning of the sensor. Individual-specific calibration should yield an added 4% improvement in throughput over the default center position.

KW - computer

KW - mouse

KW - sensor position

KW - pointing performance

KW - virtual sensor position

KW - optimization

U2 - 10.1145/3313831.3376735

DO - 10.1145/3313831.3376735

M3 - Conference article in proceedings

BT - CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

PB - ACM

T2 - ACM SIGCHI Annual Conference on Human Factors in Computing Systems

Y2 - 26 April 2020 through 30 April 2020

ER -

Optimal Sensor Position for a Computer Mouse

Abstract

Conference

Keywords

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Projects

COMPUTED: Computational User Interface Design

Cite this