A haptic-feedback virtual reality system to improve the Box and Block Test (BBT) for upper extremity motor function assessment

Dong, Ying; Liu, Xiaoyu; Tang, Min; Huo, Hongqiang; Chen, Duo; Wu, Zhixin; An, Ran; Fan, Yubo

doi:10.1007/s10055-022-00727-2

Cited by 8 publications

(6 citation statements)

References 150 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One study examined the perceived user-friendliness and acceptance of a virtual BBT using a satisfaction questionnaire, yielding highly positive results for the examined development [ 13 ]. Another study, using the Intrinsic Motivation Inventory, reported greater motivation with the virtual BBT compared to the traditional BBT [ 7 ]. However, Cho et al [ 11 ] noted reduced accessibility with a further virtual iteration of the BBT due to the additional technical equipment required.…”

Section: Discussionmentioning

confidence: 99%

“…Another study, employing the Intrinsic Motivation Inventory, reported greater motivation with the virtualized BBT compared to the traditional BBT [7]. However, Cho et al noted reduced accessibility with a further virtual iteration of the BBT due to the additional technical equipment required [11].…”

Section: Comparison With Prior Workmentioning

confidence: 99%

“…Virtual adaptations of the BBT use leap motion sensors [ 12 ], Microsoft Kinect sensors [ 11 12 ], or virtual reality headset [ 3 13-16 undefined undefined undefined ], eliminating the need for physical BBT materials and offering cost-effective alternatives that are suitable for home use. Additionally, interactive haptic devices provide tactile and force feedback in a virtual environment, aiding in motor function recovery [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…In recent times, several projects have focused on digitizing the Box and Block Test (BBT) to improve the quality of collected data through automated measurement processes [6] or to enable cost-effective home use [7]. Technologies such as depth cameras [8], sensor wristbands [9], and infrared sensors [10] are utilized to monitor hand and block movements, providing detailed data on hand dexterity, including kinematic movement profiles [11].…”

Section: Introductionmentioning

confidence: 99%

“…Virtual adaptations of the BBT employ leap motion sensors [12], kinect sensors [11,12] or VR headset [3,[13][14][15][16], eliminating the need for physical BBT materials and offering cost-effective alternatives suitable for home use. Additionally, interactive haptic devices, provide tactile and force feedback in a virtual environment, aiding in motor function recovery [7]. However, while the advancements offer various advantages, they also present several drawbacks:  Additional costs: Implementing these advancements can be costly due to the need for extra technologies such as computers, cameras, sensors, and specialized software.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Clinical Utility and Usability of the Digital Box and Block Test: Mixed Methods Study

Prochaska,

Ammenwerth

2024

JMIR Rehabil Assist Technol

View full text Add to dashboard Cite

Background The Box and Block Test (BBT) is a clinical tool used to measure hand dexterity, which is often used for tracking disease progression or the effectiveness of therapy, particularly benefiting older adults and those with neurological conditions. Digitizing the measurement of hand function may enhance the quality of data collection. We have developed and validated a prototype that digitizes this test, known as the digital BBT (dBBT), which automatically measures time and determines and displays the test result. Objective This study aimed to investigate the clinical utility and usability of the newly developed dBBT and to collect suggestions for future improvements. Methods A total of 4 occupational therapists participated in our study. To evaluate the clinical utility, we compared the dBBT to the BBT across dimensions such as acceptance, portability, energy and effort, time, and costs. We observed therapists using the dBBT as a dexterity measurement tool and conducted a quantitative usability questionnaire using the System Usability Scale (SUS), along with a focus group. Evaluative, structured, and qualitative content analysis was used for the qualitative data, whereas quantitative analysis was applied to questionnaire data. The qualitative and quantitative data were merged and analyzed using a convergent mixed methods approach. Results Overall, the results of the evaluative content analysis suggested that the dBBT had a better clinical utility than the original BBT, with ratings of all collected participant statements for the dBBT being 45% (45/99) equal to, 48% (48/99) better than, and 6% (6/99) lesser than the BBT. Particularly in the subcategories “acceptance,” “time required for evaluation,” and “purchase costs,” the dBBT was rated as being better than the original BBT. The dBBT achieved a mean SUS score of 83 (95% CI 76-96). Additionally, several suggested changes to the system were identified. Conclusions The study demonstrated an overall positive evaluation of the clinical utility and usability of the dBBT. Valuable insights were gathered for future system iterations. These pioneering results highlight the potential of digitizing hand dexterity assessments.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Comparison With Prior Workmentioning

confidence: 99%