Extended Fitts' law for 3D pointing tasks using 3D target arrangements

Cha, Yeonjoo; Myung, Rohae

doi:10.1016/j.ergon.2013.05.005

Cited by 81 publications

(74 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The earlier models treated movements as equal in regards to starting location and direction [Fitts 1954;Welford 1968;Schmidt et al 1979;MacKenzie and Buxton 1992;MacKenzie 1992]. Some recent models have started to capture these factors [Grossman and Balakrishnan 2004;Plamondon and Alimi 1997;Cha and Myung 2013]. Because three target sizes were used and the whole 3D space of the arm covered, our dataset allows grouping any movements in the 3D space for performance modeling.…”

Section: Related Workmentioning

confidence: 99%

Informing the Design of Novel Input Methods with Muscle Coactivation Clustering

Bachynskyi

Palmas

Oulasvirta³

et al. 2015

ACM Trans. Comput.-Hum. Interact.

View full text Add to dashboard Cite

This article presents a novel summarization of biomechanical and performance data for user interface designers. Previously, there was no simple way for designers to predict how the location, direction, velocity, precision, or amplitude of users' movement affects performance and fatigue. We cluster muscle coactivation data from a 3D pointing task covering the whole reachable space of the arm. We identify 11 clusters of pointing movements with distinct muscular, spatio-temporal, and performance properties. We discuss their use as heuristics when designing for 3D pointing. ACM Reference Format:Myroslav Bachynskyi, Gregorio Palmas, Antti Oulasvirta, and Tino Weinkauf. 2015. Informing the design of novel input methods with muscle coactivation clustering.

show abstract

Section: Related Workmentioning

confidence: 99%

Informing the Design of Novel Input Methods with Muscle Coactivation Clustering

Bachynskyi

Palmas

Oulasvirta³

et al. 2015

ACM Trans. Comput.-Hum. Interact.

View full text Add to dashboard Cite

show abstract

“…Previous research on 3D Fitts' law has also identified a clear effect of movement direction on time, error rate, and throughput, especially for lateral movements compared to movements that are approaching or moving away from the viewer [2,3]. In contrast, comparisons of vertical vs. horizontal movements exhibit only small differences [13,51,53,55]. While some of these results are correlated with the display system's properties, they still need to be considered in the design of VR-based training systems to avoid unduly influencing human sensory-motor skills through the VR technology.…”

Section: Design Of the Visual Representationmentioning

confidence: 99%

Eye-Hand Coordination Training for Sports with Mid-air VR

Batmaz

Sun

Taskiran

et al. 2020

26th ACM Symposium on Virtual Reality Software and Technology

View full text Add to dashboard Cite

A relatively recent application area for Virtual Reality (VR) systems is sports training and user performance assessment. One of these applications is eye-hand coordination training systems (EHCTSs). Previous research identified that VR-based training systems have great potential for EHCTSs. While previous work investigated 3D targets on a 2D plane, here we aim to study full 3D movements and extend the application of throughput analysis to EHCTSs. We conducted two user studies to investigate how user performance is affected by different target arrangements, feedback conditions, and handedness in VR-based EHCTSs. In the first study, we explored handedness as well as vertical and horizontal target arrangements, and showed that user performance increases with the dominant hand and a vertical target plane. In the second study, we investigated different combinations of visual and haptic feedback and how they affect user performance with different target and cursor sizes. Results illustrate that haptic feedback did not increase user performance when it is added to visual feedback. Our results inform the creation of better EHCTSs with mid-air VR systems. CCS CONCEPTS • Human-centered computing → Virtual reality; Pointing devices; HCI theory, concepts and models; Human computer interaction (HCI); Haptic devices; User studies.

show abstract

“…Moreover, the design of the interface also needs to encompass an understanding of human behaviors-particularly when people are interacting in 3D space. Researchers have explored another 3D space input technique [18][19][20] as an alternative to traditional 2D input devices (e.g., mouse, trackball, etc.) and touch screens [21].…”

Section: Related Workmentioning

confidence: 99%

The Effects of Augmented Reality Interaction Techniques on Egocentric Distance Estimation Accuracy

2019

View full text Add to dashboard Cite

Recent developments in virtual environment applications allow users to interact with three-dimensional (3D) objects in virtual environments. As interaction with 3D objects in virtual environments becomes more established, it is important to investigate user performance with such interaction techniques within a specific task. This study investigated two interaction modes, direct and indirect, depending on how the users interacted with the 3D objects, by measuring the accuracy of egocentric distance estimation in a stereoscopic environment. Fourteen participants were recruited to perform an acquisition task with both direct pointing and indirect cursor techniques at three egocentric distances and three task difficulty levels. The accuracy of the egocentric distance estimation, throughput, and task completion time were analyzed for each interaction technique. The indirect cursor technique was found to be more accurate than the direct pointing one. On the other hand, a higher throughput was observed with the direct pointing technique than with the indirect cursor technique. However, there were no significant differences in task completion time between the two interaction techniques. The results also showed accuracy to be higher at the greatest distance (150 cm from the participant) than at the closer distances of 90 cm and 120 cm. Furthermore, the difficulty of the task also significantly affected the accuracy, with accuracy lower in the highest difficulty condition than in the medium and low difficulty conditions. The findings of this study contribute to the understanding of user-interaction techniques in a stereoscopic environment. Furthermore, developers of virtual environments may refer to these findings in designing effective user interactions, especially those in which performance relies on accuracy.

show abstract

Extended Fitts' law for 3D pointing tasks using 3D target arrangements

Cited by 81 publications

References 15 publications

Informing the Design of Novel Input Methods with Muscle Coactivation Clustering

Informing the Design of Novel Input Methods with Muscle Coactivation Clustering

Eye-Hand Coordination Training for Sports with Mid-air VR

The Effects of Augmented Reality Interaction Techniques on Egocentric Distance Estimation Accuracy

Contact Info

Product

Resources

About