Predicting user performance time for hand gesture interfaces

Erazo, Orlando; Pino, José A.

doi:10.1016/j.ergon.2017.07.010

Cited by 16 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Cependant, ces derniers posent certaines contraintes d'utilisabilité [21] : 1) ils imposent à un utilisateur la manière de les tenir ; 2) ils nécessitent une phase d'apprentissage d'une liste de commandes plus ou moins complexes ; 3) ils reprennent les anciens paradigmes de l'informatique conçus pour des interfaces en 2 dimensions (pointeur de souris). La mise sur le marché de dispositifs de suivi du mouvement des mains tels que le Kinect®, l'Intel Real Sense®, ou encore le Leap Motion®, a permis d'ouvrir de nouvelles perspectives concernant les interactions homme-machine en VR [10]. En eet, ce type d'interaction ore des moyens plus « naturels » et aractifs pour interagir [22,26] et peut être considéré comme une nouvelle classe d'interface utilisateur naturelle (NUI, Natural User Interface) [3,27].…”

Section: Contexteunclassified

Natural interaction in virtual reality

Galais¹,

Delmas

Alonso

2019

Adjunct Proceedings of the 31st Conference on l'Interaction Homme-Machine

View full text Add to dashboard Cite

Many of the virtual reality (VR) interaction devices available to the general public rely on the use of controllers. However, theses ones generate some usability constraints. Current availability of new gestural devices provides a more "natural" way to interact in VR, i.e. minimizing cognitive load. However, this last one is rarely taken into account in the literature on VR design and evaluation. In order to fill this gap, we propose to evaluate, within a comparative study, the respective impact of 2 interaction paradigms on the cognitive load and performance of two dierent user populations (experienced vs. novice): gestural interaction using Leap Motion® (test group) and more traditional interaction using gamepad controllers (control group). Initial results indicate significantly higher cognitive load and significantly lower performance during gestural interaction with the Leap Motion® than during interaction with the Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

show abstract

Section: Contexteunclassified

Natural interaction in virtual reality

Galais¹,

Delmas

Alonso

2019

Adjunct Proceedings of the 31st Conference on l'Interaction Homme-Machine

View full text Add to dashboard Cite

show abstract

“…The unit time for the mental action operator is adopted from the original KLM, with a fixed value of 1.35 s [27]. Most previous studies have similarly used the original mental action value (e.g., [29,31,42,61]), although smaller values have also been reported for specialised applications (e.g., [54,67,68]).…”

Section: Resultsmentioning

confidence: 99%

A Predictive Fingerstroke-Level Model for Smartwatch Interaction

Al-Megren

2018

MTI

View full text Add to dashboard Cite

The keystroke-level model (KLM) is commonly used to predict the time it will take an expert user to accomplish a task without errors when using an interactive system. The KLM was initially intended to predict interactions in conventional set-ups, i.e., mouse and keyboard interactions. However, it has since been adapted to predict interactions with smartphones, in-vehicle information systems, and natural user interfaces. The simplicity of the KLM and its extensions, along with their resource-and time-saving capabilities, has driven their adoption. In recent years, the popularity of smartwatches has grown, introducing new design challenges due to the small touch screens and bimanual interactions involved, which make current extensions to the KLM unsuitable for modelling smartwatches. Therefore, it is necessary to study these interfaces and interactions. This paper reports on three studies performed to modify the original KLM and its extensions for smartwatch interaction. First, an observational study was conducted to characterise smartwatch interactions. Second, the unit times for the observed interactions were derived through another study, in which the times required to perform the relevant physical actions were measured. Finally, a third study was carried out to validate the model for interactions with the Apple Watch and Samsung Gear S3. The results show that the new model can accurately predict the performance of smartwatch users with a percentage error of 12.07%; a value that falls below the acceptable percentage dictated by the original KLM~21%.

show abstract

“…The extraction strategy certifies the application of the same data extraction criteria for all papers selected, facilitating the classification. The 56 selected publications are [23–78 ].…”

Section: Systematic Mapping Studymentioning

confidence: 99%

Usability and user experience evaluation of natural user interfaces: a systematic mapping study

Guerino

Valentim

2020

IET softw.

View full text Add to dashboard Cite

Natural user interface (NUI) is considered a recent topic in human–computer interaction (HCI) and provides innovative forms of interaction, which are performed through natural movements of the human body like gestures, voice, and gaze. In the software development process, usability and user eXperience (UX) evaluations are a relevant step, since they evaluate several aspects of the system, such as efficiency, effectiveness, user satisfaction, and immersion. Thus, the goal of the authors’ systematic mapping study (SMS) is to identify usability and UX evaluation technologies used by researchers and developers in software with NUIs. Their SMS selected 56 papers containing evaluation technologies for NUI. Overall, the authors identified 30 different usability and UX evaluation technologies for NUI. The analysis of these technologies reveals most of them are used to evaluate software in general, without considering the specificities of NUI. Besides, most technologies evaluate only one aspect, Usability or UX. In other words, these technologies do not consider Usability and UX together. For future work, they intend to develop an evaluation technology for NUIs that fills the gaps identified in their SMS and combining Usability and UX.

show abstract

Predicting user performance time for hand gesture interfaces

Cited by 16 publications

References 21 publications

Natural interaction in virtual reality

Natural interaction in virtual reality

A Predictive Fingerstroke-Level Model for Smartwatch Interaction

Usability and user experience evaluation of natural user interfaces: a systematic mapping study

Contact Info

Product

Resources

About