Pain Experience in Social VR: The Competing Effect on Objective Pain Tolerance and Subjective Pain Perception

Hwang, Angel Hsing‐Chi; Sun, Yilu; Tamir, Neta; Won, Andrea Stevenson

doi:10.1109/vrw50115.2020.00140

Cited by 3 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…"Social interaction" is the capability that helps a patient interact with their family and friends. A recent pilot study has reported higher tolerance for pain when participants interacted with their loved ones (Hwang et al, 2020). "Customization" is the ability to choose a VR environment based on a patient's conditions and choices.…”

Section: Figure 3 Vr Design Considerations For Higher Immersionmentioning

confidence: 99%

Virtual Reality for Pain Management to Tackle the Opioid Crisis

Ramanan

Yekkirala

2021

J Stud Res

View full text Add to dashboard Cite

The opioid crisis is a serious public health issue of epidemic proportions, building over the past decades. Prescription opioid abuse is one of the key sources of this issue. While pain is usually managed using pharmacological approaches, such as opioids, they produce several unwanted side effects – including respiratory depression and addiction – non-pharmacological approaches can be significant with minimal or no side effects. Recent developments in technology, such as Virtual Reality (VR), show considerable promise for main-stream adoption as one of the non-pharmacological interventions. Preventing a patient’s transition from acute to chronic pain is one instance where VR can presumably be effective. However, challenges remain due to the inherent subjectivity and lack of clear baselines in clinical intervention studies. Here, we review recent studies on the application of VR as a treatment for acute and chronic pain management to primarily understand key technical challenges faced by VR. The secondary goal of this work is to identify possible options to tackle some of the key challenges. Design considerations emerge as one critical component in improving patient engagement.

show abstract

Section: Figure 3 Vr Design Considerations For Higher Immersionmentioning

confidence: 99%

Virtual Reality for Pain Management to Tackle the Opioid Crisis

Ramanan

Yekkirala

2021

J Stud Res

View full text Add to dashboard Cite

show abstract

“…For example, passive monitors (wearables) are becoming more ubiquitous and accurate, offering opportunities to measure a broader array of behavioral and physiological states. Low-cost VR hardware for use at home, including devices that can be used with smartphones, are now available (28,(33)(34)(35) and enable new opportunities for social distraction and support (36), and at least one VR treatment of pain has been approved as a digital therapeutic by the Food and Drug Administration (37). AI is increasingly being used in pain research, diagnosis, and personalized treatment.…”

Section: Introductionmentioning

confidence: 99%

Mapping the Design Space of Technology-Based Solutions for Better Chronic Pain Care: Introducing the Pain Tech Landscape

et al. 2023

View full text Add to dashboard Cite

Objectives: Technology has substantial potential to transform and extend care for persons with chronic pain, a burdensome and costly condition. To catalyze the development of impactful applications of technology in this space, we developed the Pain Tech Landscape (PTL) model, which integrates pain care needs with characteristics of technological solutions. Methods: Our interdisciplinary group representing experts in pain and human factors research developed PTL through iterative discussions. To demonstrate one potential use of the model, we apply data generated from a narrative review of selected pain and technology journals in the form of heat map overlays, to reveal where pain tech research attention has focused to date. Results: The PTL comprises three two-dimensional planes, with pain care needs on each x axis (measurement to management) and technology applications on the y axes according to a) user agency (user-to system-driven), b) usage time frame (temporary to lifelong), and c) collaboration (single-user to collaborative). Heat maps show that existing applications reside primarily in the "user-driven/management" quadrant (e.g., self-care apps). Examples of less developed areas include artificial intelligence and Internet of Things (i.e., Internet-linked household objects), and collaborative/social tools for pain management. Conclusions: Collaborative development between the pain and tech fields in early developmental stages using the PTL as a common language could yield impactful solutions for chronic pain management. The PTL could also be used to track developments in the field over time. We encourage periodic reassessment and refinement of the PTL model, which can also be adapted to other chronic conditions.

show abstract