Junrui Yang

All Publications

• Detecting Touch and Grasp Gestures Using a Wrist-Worn Optical and Inertial Sensing Network IEEE ROBOTICS AND AUTOMATION LETTERS Cofer, S., Chen, T. N., Yang, J., Follmer, S. 2022; 7 (4): 10842-10849

  View details for DOI 10.1109/LRA.2022.3191173

  View details for Web of Science ID 000844135200001

• Physical workplaces and human well-being: A mixed-methods study to quantify the effects of materials, windows, and representation on biobehavioral outcomes BUILDING AND ENVIRONMENT Douglas, I. P., Murnane, E. L., Bencharit, L., Altaf, B., Costa, J., Yang, J., Ackerson, M., Srivastava, C., Cooper, M., Douglas, K., King, J., Paredes, P. E., Camp, N. P., Mauriello, M., Ardoin, N. M., Markus, H., Landay, J. A., Billington, S. L. 2022; 224

  View details for DOI 10.1016/j.buildenv.2022.109516

  View details for Web of Science ID 000862289200005

• What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention. Pervasive and mobile computing Li, T., Cobb, C., Yang, J. J., Baviskar, S., Agarwal, Y., Li, B., Bauer, L., Hong, J. I. 2021; 75: 101439

  Abstract

  Smartphone-based contact-tracing apps are a promising solution to help scale up the conventional contact-tracing process. However, low adoption rates have become a major issue that prevents these apps from achieving their full potential. In this paper, we present a national-scale survey experiment ( N = 1963 ) in the U.S. to investigate the effects of app design choices and individual differences on COVID-19 contact-tracing app adoption intentions. We found that individual differences such as prosocialness, COVID-19 risk perceptions, general privacy concerns, technology readiness, and demographic factors played a more important role than app design choices such as decentralized design vs. centralized design, location use, app providers, and the presentation of security risks. Certain app designs could exacerbate the different preferences in different sub-populations which may lead to an inequality of acceptance to certain app design choices (e.g., developed by state health authorities vs. a large tech company) among different groups of people (e.g., people living in rural areas vs. people living in urban areas). Our mediation analysis showed that one's perception of the public health benefits offered by the app and the adoption willingness of other people had a larger effect in explaining the observed effects of app design choices and individual differences than one's perception of the app's security and privacy risks. With these findings, we discuss practical implications on the design, marketing, and deployment of COVID-19 contact-tracing apps in the U.S.

  View details for DOI 10.1016/j.pmcj.2021.101439

  View details for PubMedID 36569467

  View details for PubMedCentralID PMC9760841

• What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention PERVASIVE AND MOBILE COMPUTING Li, T., Cobb, C., Yang, J., Baviskar, S., Agarwal, Y., Li, B., Bauer, L., Hong, J. I. 2021; 75

  View details for DOI 10.1016/j.pmcj.2021.101439

  View details for Web of Science ID 000681358800006

• Soundr: Head Position and Orientation Prediction Using a Microphone Array Yang, J., Banerjee, G., Gupta, V., Lam, M. S., Landay, J. A., ACM ASSOC COMPUTING MACHINERY. 2020: 529-537

  Abstract

  As a lincosamide antibiotic, lincomycin is still important for treating diseases caused by Gram-positive bacteria. Manufacturing of lincomycin needs efforts to, e.g. maximize desirable species and minimizing unwanted fermentation byproducts. Analysis of the lincomycin biosynthetic gene cluster of Streptomyces lincolnensis, lmbB1, was shown to catalyze the conversion of L-dopa but not of L-tyrosine and then further generated the precursor of lincomycin A. Based on the principle of directed breeding, a strain termed as S. lincolnensis 24-2, was obtained in this work. By overexpressing the lmbB1 gene, this strain produces efficacious lincomycin A and suppresses melanin generation, whereas contains unwanted lincomycin B. The good fermentation performance of the mutant-lmbB1 (M-lmbB1) was also confirmed in a 15 L-scale bioreactor, which increased the lincomycin A production by 37.6% compared with control of 6435 u/mL and reduced the accumulation of melanin by 29.9% and lincomycin B by 73.4%. This work demonstrated that the amplification of lmbB1 gene mutation and metabolic engineering could promote lincomycin biosynthesis and might be helpful for reducing the production of other industrially unnecessary byproduct.

  View details for DOI 10.1145/3313831.3376427

  View details for Web of Science ID 000695438100099

  View details for PubMedID 31916478

• Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality Abtahi, P., Landry, B., Yang, J., Pavone, M., Follmer, S., Landay, J. A., Assoc Comp Machinery ASSOC COMPUTING MACHINERY. 2019

  View details for DOI 10.1145/3290605.3300589

  View details for Web of Science ID 000474467904051

• DreamWalker: Substituting Real-World Walking Experiences with a Virtual Reality Yang, J., Holz, C., Ofek, E., Wilson, A. D., ACM ASSOC COMPUTING MACHINERY. 2019: 1093–1107

  View details for DOI 10.1145/3332165.3347875

  View details for Web of Science ID 000518189200087

• InfoLED: Augmenting LED Indicator Lights for Device Positioning and Communication Yang, J., Landay, J. A., ACM ASSOC COMPUTING MACHINERY. 2019: 175–87

  View details for DOI 10.1145/3332165.3347954

  View details for Web of Science ID 000518189200016

• VR Grabbers: Ungrounded Haptic Retargeting for Precision Grabbing Tools Yang, J., Horii, H., Thayer, A., Ballagas, R., Assoc Comp Machinery ASSOC COMPUTING MACHINERY. 2018: 889–99

  View details for DOI 10.1145/3242587.3242643

  View details for Web of Science ID 000494260500073

• shiftIO: Reconfigurable Tactile Elements for Dynamic Affordances and Mobile Interaction Strasnick, E., Yang, J., Tanner, K., Olwal, A., Follmer, S., ACM ASSOC COMPUTING MACHINERY. 2017: 5075–86

  View details for DOI 10.1145/3025453.3025988

  View details for Web of Science ID 000426970504081