A Fitts’ Law Evaluation of Hands-Free and Hands-On Input on a Laptop Computer

Hassan, Mehedi; Magee, John J.; MacKenzie, I. Scott

doi:10.1007/978-3-030-23563-5_20

Cited by 12 publications

(3 citation statements)

References 15 publications

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“…Raya et al [ 20 ] studied the TP of the ENLAZA device, obtaining a value of 1.8 ± 0.4 bits/s. These results agree with those presented in other works in the literature [ 13 , 21 , 22 ]. In all of these studies, the participants were adult people.…”

Section: Introductionsupporting

confidence: 94%

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Evaluation of Child–Computer Interaction Using Fitts’ Law: A Comparison between a Standard Computer Mouse and a Head Mouse

Sánchez

Costa

García-Carmona

et al. 2021

Sensors

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This study evaluates and compares the suitability for child–computer interaction (CCI, the branch within human–computer interaction focused on interactive computer systems for children) of two devices: a standard computer mouse and the ENLAZA interface, a head mouse that measures the user’s head posture using an inertial sensor. A multidirectional pointing task was used to assess the motor performance and the users’ ability to learn such a task. The evaluation was based on the interpretation of the metrics derived from Fitts’ law. Ten children aged between 6 and 8 participated in this study. Participants performed a series of pre- and post-training tests for both input devices. After the experiments, data were analyzed and statistically compared. The results show that Fitts’ law can be used to detect changes in the learning process and assess the level of psychomotor development (by comparing the performance of adults and children). In addition, meaningful differences between the fine motor control (hand) and the gross motor control (head) were found by comparing the results of the interaction using the two devices. These findings suggest that Fitts’ law metrics offer a reliable and objective way of measuring the progress of physical training or therapy.

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Section: Introductionsupporting

confidence: 94%

“…Finally, the study explores some conclusions that could be drawn from the metrics associated with Fitts' law regarding the performance of a pointing task. These conclusions obtained for children can then be compared with those previously published for adults [13,[18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 90%

Evaluation of Child–Computer Interaction Using Fitts’ Law: A Comparison between a Standard Computer Mouse and a Head Mouse

Sánchez

Costa

García-Carmona

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…Other devices generally fair poorer with values of about 1-3 bits/s for the touchpad or joystick. However, throughputs <1 bit/s have been observed when testing unusual cursor control schemes or when engaging participants with motor disabilities [Cuaresma and MacKenzie 2017;Felzer et al 2016;Hassan et al 2019;MacKenzie and Teather 2012;Roig-Maimó et al 2017].…”

Section: Discussionmentioning

confidence: 99%

GIMIS: Gaze Input with Motor Imagery Selection

Hou

Bekgaard

MacKenzie

et al. 2020

ACM Symposium on Eye Tracking Research and Applications

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A hybrid gaze and brain-computer interface (BCI) was developed to accomplish target selection in a Fitts' law experiment. The method, GIMIS, uses gaze input to steer the computer cursor for target pointing and motor imagery (MI) via the BCI to execute a click for target selection. An experiment (n = 15) compared three motor imagery selection methods: using the left-hand only, using the legs, and using either the left-hand or legs. The latter selection method ("either") had the highest throughput (0.59 bps), the fastest selection time (2650 ms), and an error rate of 14.6%. Pupil size significantly increased with increased target width. We recommend the use of large targets, which significantly reduced error rate, and the "either" option for BCI selection, which significantly increased throughput. BCI selection is slower compared to dwell time selection, but if gaze control is deteriorating, for example in a late stage of the ALS disease, GIMIS may be a way to gradually introduce BCI. CCS CONCEPTS• Human-centered computing → HCI design and evaluation methods.

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