@article{yuan_gruhn_2022, title={Preference and Motivations for Solitude in Established Adulthood: Antecedents, Consequences, and Adulthood Phase Differences}, ISSN={["1573-3440"]}, url={https://doi.org/10.1007/s10804-022-09415-6}, DOI={10.1007/s10804-022-09415-6}, journal={JOURNAL OF ADULT DEVELOPMENT}, author={Yuan, Jing and Gruhn, Daniel}, year={2022}, month={Jun} }
 @article{yuan_bai_driscoll_liu_huang_feng_2022, title={Standing and Walking Attention Visual Field (SWAVF) task: A new method to assess visuospatial attention during walking}, volume={104}, ISSN={["1872-9126"]}, url={http://dx.doi.org/10.1016/j.apergo.2022.103804}, DOI={10.1016/j.apergo.2022.103804}, abstractNote={Visuospatial attention during walking has been associated with pedestrian safety and fall risks. However, visuospatial attention measures during walking remained under-explored. Current studies introduced a newly-developed Standing and Walking Visual Attention Field (SWAVF) task to assess visuospatial attention during walking and examined its reliability, validity, and stability. Thirty young adults completed a traditional computerized Attention Visual Field (AVF) task while sitting, and the SWAVF task under walking and standing settings. Nine participants also performed the SWAVF task under additional distraction conditions. Results showed good split-half reliability during standing (r = 0.70) and walking (r = 0.69), moderate concurrent validity with the sitting AVF task (r = 0.42), moderate convergent validity between the standing and walking settings (r = 0.69), good construct validity, and moderate rank-order stability (r = 0.53). Overall, the SWAVF task showed good psychometric properties. Potential applications to the evaluation of prosthetic and other exoskeleton devices, smart glasses, and ground-level traffic lights or signs were discussed.}, journal={APPLIED ERGONOMICS}, publisher={Elsevier BV}, author={Yuan, Jing and Bai, Xiaolu and Driscoll, Brendan and Liu, Ming and Huang, He and Feng, Jing}, year={2022}, month={Oct} }
 @misc{yuan_cline_liu_huang_feng_2021, title={Cognitive measures during walking with and without lower-limb prosthesis: protocol for a scoping review}, volume={11}, ISBN={2044-6055}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85101189834&partnerID=MN8TOARS}, DOI={10.1136/bmjopen-2020-039975}, abstractNote={IntroductionTuning of lower-limb (LL) robotic prosthesis control is necessary to provide personalised assistance to each human wearer during walking. Prostheses wearers’ adaptation processes are subjective and the efficiency largely depends on one’s mental processes. Therefore, beyond physical motor performance, prosthesis personalisation should consider the wearer’s preference and cognitive performance during walking. As a first step, it is necessary to examine the current measures of cognitive performance when a wearer walks with an LL prosthesis, identify the gaps and methodological considerations, and explore additional measures in a walking setting. In this protocol, we outlined a scoping review that will systematically summarise and evaluate the measures of cognitive performance during walking with and without LL prosthesis.}, number={2}, journal={BMJ OPEN}, author={Yuan, Jing and Cline, Emily and Liu, Ming and Huang, He and Feng, Jing}, year={2021} }
 @article{yuan_crowson_richardson_feng_2021, title={Drive aware training: A computerized training program for older drivers' detection of road hazards}, ISSN={["1538-957X"]}, DOI={10.1080/15389588.2021.1929944}, abstractNote={Abstract Objective Cognitive training for reducing crash rate can be delivered to older drivers via in-person on-road sessions, a driving simulator, or using computer-based cognitive methods. Despite established effectiveness, in-person on-road assessment and rehabilitation are expensive, and limited professional service may not be readily accessible; simulator-based training may not fit every driver due to simulator sickness. In comparison, computerized training is easier to implement and could be delivered with little cost to older drivers with computer access. Based on the Drive Aware Task, a validated measure of attentional processes in hazard detection, we developed a computerized cognitive training method with a focus on hazard detection. In this study, we examined the effectiveness of this newly-developed interactive training program in improving older drivers’ detection of road hazards. Methods Using a matched-pair design, nine triads of three older drivers (aged 65 or above) with matched pretest performance and gender were formed. For each triad, each participant was randomly allocated to one of the three groups: 1) active training group to receive the two training sessions (1.5–2.5h per session); 2) passive training group to receive two video-watching sessions (i.e., watch the video of training session performance from the corresponding paired participant); 3) no-contact control group. Older drivers’ performances on hazard detection and simulated driving were measured before and after training. Results The active training group showed significant training effects on the computerized hazard detection task and simulated driving performance, while there were only marginal effects in the passive training group and no effects in the no-contact control group. A post-training survey suggested older drivers were receptive to the Drive Aware training program. Conclusions The computerized Drive Aware training program has the potential to be used as a prevention and intervention tool to improve older drivers’ hazard detection performance. Future studies should examine the effectiveness of this tool in more diverse samples and in long-term outcomes.}, journal={TRAFFIC INJURY PREVENTION}, author={Yuan, Jing and Crowson, Aaron and Richardson, Geoffrey and Feng, Jing}, year={2021}, month={May} }
 @article{yuan_gruhn_2021, title={Time Effects of Informal Caregiving on Cognitive Function and Well-Being: Evidence From ELSA}, volume={61}, ISSN={["1758-5341"]}, DOI={10.1093/geront/gnaa114}, abstractNote={Abstract}, number={3}, journal={GERONTOLOGIST}, author={Yuan, Jing and Gruhn, Daniel}, year={2021}, month={Apr}, pages={341–351} }