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This critical shortfall significantly hinders the seamless transfer of acquired skills from the virtual realm to the real-world application, posing a substantial challenge to effective training. To overcome this obstacle, we introduce\n                    <jats:italic>PowVRtool<\/jats:italic>\n                    \u2013a handheld haptic device meticulously crafted for immersive virtual reality simulations of power tools. By collaborating with industry experts, this tool excels in providing crucial elements such as vibrotactile feedback, weight perception, and mass distribution. These features empower users to develop muscle memory and refine their skills effectively. We demonstrated (1) Realistic vibrotactile feedback derived from an extensive frequency domain database and state-of-the-art actuators, (2) Accurate weight perception achieved through weight addition, and (3) Evaluation conducted in four user studies, demonstrating: (a)\n                    <jats:italic>PowVRtool<\/jats:italic>\n                    \u2019s adeptness at replicating tool weight and balance, (b) User preferences for combined vibrotactile feedback and weight simulation, (c) Effectiveness across various power tools. These results show the\n                    <jats:italic>PowVRtool<\/jats:italic>\n                    \u2019s potential as a valuable training tool, particularly within the manufacturing industry\u2019s VR-based training programs.\n                  <\/jats:p>","DOI":"10.1007\/s10055-025-01258-2","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T11:57:57Z","timestamp":1765195077000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["PowVRtool: a handheld haptic device for realistic power tool feedback in VR-based manufacturing training"],"prefix":"10.1007","volume":"30","author":[{"given":"Mayank","family":"Patel","sequence":"first","affiliation":[]},{"given":"Asim","family":"Unmesh","sequence":"additional","affiliation":[]},{"given":"Ananya","family":"Ipsita","sequence":"additional","affiliation":[]},{"given":"Levi","family":"Erickson","sequence":"additional","affiliation":[]},{"given":"Priyam","family":"Maheshwari","sequence":"additional","affiliation":[]},{"given":"Rahul","family":"Jain","sequence":"additional","affiliation":[]},{"given":"Jingyu","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Laura H.","family":"Blumenschein","sequence":"additional","affiliation":[]},{"given":"Karthik","family":"Ramani","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,12,8]]},"reference":[{"key":"1258_CR1","doi-asserted-by":"publisher","first-page":"3743","DOI":"10.1007\/s00170-019-03801-3","volume":"105","author":"MH Abidi","year":"2019","unstructured":"Abidi MH, Al-Ahmari A, Ahmad A, Ameen W, Alkhalefah H (2019) Assessment of virtual reality-based manufacturing assembly training system. 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