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Journal articles on the topic 'Approach-Avoidance Training'

Author: Grafiati

Published: 23 November 2024

Last updated: 31 July 2025

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1

Van Dessel, Pieter, Sean Hughes, and Jan De Houwer. "Consequence-Based Approach-Avoidance Training: A New and Improved Method for Changing Behavior." Psychological Science 29, no. 12 (2018): 1899–910. http://dx.doi.org/10.1177/0956797618796478.

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The repeated performance of approach or avoidance actions in response to specific stimuli (e.g., alcoholic drinks) is often considered a most promising type of cognitive-bias modification that can reduce unwanted behavior (e.g., alcohol consumption). Unfortunately, approach-avoidance training sometimes fails to produce desired outcomes (e.g., in the context of unhealthy eating). We introduce a novel training task in which approach-avoidance actions are followed by affective consequences. Four experiments (total N = 1,547) found stronger changes in voluntary approach-avoidance behavior, implici

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Mertens, Gaëtan, Pieter Van Dessel, and Jan De Houwer. "The contextual malleability of approach-avoidance training effects: approaching or avoiding fear conditioned stimuli modulates effects of approach-avoidance training." Cognition and Emotion 32, no. 2 (2017): 341–49. http://dx.doi.org/10.1080/02699931.2017.1308315.

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Machulska, Alla, Mike Rinck, Tim Klucken, et al. "“Push it!” or “Hold it!”? A comparison of nicotine-avoidance training and nicotine-inhibition training in smokers motivated to quit." Psychopharmacology 239, no. 1 (2022): 105–21. http://dx.doi.org/10.1007/s00213-021-06058-5.

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Abstract Rationale Recently, experimental paradigms have been developed to strengthen automatic avoidance or inhibitory responses for smoking cues. However, these procedures have not yet been directly compared regarding their effectiveness and mechanisms of action. Objective This study compared the effects of avoidance vs. inhibitory training as an add-on to a brief smoking cessation intervention. The standard Approach-Avoidance-Task (AAT) was adapted for both training types and control conditions. Methods One hundred twenty-four smokers attended behavioral counseling for smoking cessation and

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Woud, Marcella L., Eni S. Becker, Wolf-Gero Lange, and Mike Rinck. "Effects of Approach-Avoidance Training on Implicit and Explicit Evaluations of Neutral, Angry, and Smiling Face Stimuli." Psychological Reports 113, no. 1 (2013): 199–216. http://dx.doi.org/10.2466/21.07.pr0.113x10z1.

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A growing body of evidence shows that the prolonged execution of approach movements towards stimuli and avoidance movements away from them affects their evaluation. However, there has been no systematic investigation of such training effects. Therefore, the present study compared approach-avoidance training effects on various valenced representations of one neutral (Experiment 1, N = 85), angry (Experiment 2, N = 87), or smiling facial expressions (Experiment 3, N = 89). The face stimuli were shown on a computer screen, and by means of a joystick, participants pulled half of the faces closer (

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Krishna, Anand, and Andreas B. Eder. "The influence of pre-training evaluative responses on approach-avoidance training outcomes." Cognition and Emotion 33, no. 7 (2019): 1410–23. http://dx.doi.org/10.1080/02699931.2019.1568230.

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Van Dessel, Pieter, Jan De Houwer, Anne Gast, and Colin Tucker Smith. "Instruction-Based Approach-Avoidance Effects." Experimental Psychology 62, no. 3 (2015): 161–69. http://dx.doi.org/10.1027/1618-3169/a000282.

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Prior research suggests that repeatedly approaching or avoiding a certain stimulus changes the liking of this stimulus. We investigated whether these effects of approach and avoidance training occur also when participants do not perform these actions but are merely instructed about the stimulus-action contingencies. Stimulus evaluations were registered using both implicit (Implicit Association Test and evaluative priming) and explicit measures (valence ratings). Instruction-based approach-avoidance effects were observed for relatively neutral fictitious social groups (i.e., Niffites and Luupit

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Li, Wenqian, Peiqiao Shang, and Jing Huang. "An Obstacle Avoidance Approach Based on Naive Bayes Classifier." Journal of Autonomous Intelligence 3, no. 1 (2020): 27. http://dx.doi.org/10.32629/jai.v3i1.139.

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Obstacle avoidance plays an important role in mobile robot. However, the traditional methods of obstacle avoidance have difficulty in distinguishing multiple obstacles by edge detection. In this paper, the traditional obstacle avoidance methods are improved to realize the function of multi-obstacle avoidance. Regarding the implementation process, the LiDAR is used instead of the RGBD camera, which reduces the difficulty of handling image noise and achieves reliable obstacle detection. It can accurately detect the borders of the nearest obstacle even in complex environments and perform obstacle

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Van Dessel, Pieter, Andreas B. Eder, and Sean Hughes. "Mechanisms underlying effects of approach-avoidance training on stimulus evaluation." Journal of Experimental Psychology: Learning, Memory, and Cognition 44, no. 8 (2018): 1224–41. http://dx.doi.org/10.1037/xlm0000514.

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Kakoschke, Naomi, Rowan Page, Barbora de Courten, Antonio Verdejo-Garcia, and Jon McCormack. "Brain training with the body in mind: Towards gamified approach-avoidance training using virtual reality." International Journal of Human-Computer Studies 151 (July 2021): 102626. http://dx.doi.org/10.1016/j.ijhcs.2021.102626.

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Sun, Zhe, Yunsheng Fan, and Guofeng Wang. "An Intelligent Algorithm for USVs Collision Avoidance Based on Deep Reinforcement Learning Approach with Navigation Characteristics." Journal of Marine Science and Engineering 11, no. 4 (2023): 812. http://dx.doi.org/10.3390/jmse11040812.

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Many achievements toward unmanned surface vehicles have been made using artificial intelligence theory to assist the decisions of the navigator. In particular, there has been rapid development in autonomous collision avoidance techniques that employ the intelligent algorithm of deep reinforcement learning. A novel USV collision avoidance algorithm based on deep reinforcement learning theory for real-time maneuvering is proposed. Many improvements toward the autonomous learning framework are carried out to improve the performance of USV collision avoidance, including prioritized experience repl

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Wilt, Joshua A., and Shelby E. Johnson. "Emotional states, achievement goals, and performance in NCAA Division I swimmers." Scientific Journal of Sport and Performance 3, no. 1 (2023): 10–19. http://dx.doi.org/10.55860/jqkv9793.

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There is much interest in how emotions and achievement goals predict sports performance, yet little research has examined these topics in elite swimmers. This study involving NCAA Division 1 swimmers aimed to (a) present descriptive information on emotions and goals related to training and meets and (b) predict performance from emotions and 2 x 2 (performance-mastery x approach-avoidance) achievement goals. Over the course of five meets, 13 swimmers (4 men, 9 women) completed weekly ratings of bipolar emotional dimensions (e.g., sluggish-energetic) and achievement goals regarding their trainin

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Van Dessel, Pieter, Jan De Houwer, and Anne Gast. "Approach–Avoidance Training Effects Are Moderated by Awareness of Stimulus–Action Contingencies." Personality and Social Psychology Bulletin 42, no. 1 (2015): 81–93. http://dx.doi.org/10.1177/0146167215615335.

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Dickson, Hugh, David J. Kavanagh, and Colin MacLeod. "The pulling power of chocolate: Effects of approach–avoidance training on approach bias and consumption." Appetite 99 (April 2016): 46–51. http://dx.doi.org/10.1016/j.appet.2015.12.026.

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Richter, Svenja, Timo Kortsch, and Simone Kauffeld. "Understanding learning spillover: the major role of reflection in the formal–informal learning interaction within different cultural value settings." Journal of Workplace Learning 32, no. 7 (2020): 513–32. http://dx.doi.org/10.1108/jwl-01-2020-0008.

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Purpose This study uses a holistic approach to learning at work to examine the role of reflection in the formal–informal learning interaction. The purpose of this study is to investigate how the reflection on a formal training affects the subsequent informal learning activities. This study also aims to provide insights into the effects of national culture values (in terms of uncertainty avoidance) on learning in the context of a globalized world of work. Design/methodology/approach In a longitudinal study, 444 employees working for a global acting automotive company located in 6 countries were

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Cándido, Antonio, Antonio Maldonado, Alicia Rodríguez, and Alberto Morales. "Successive Positive Contrast in One-Way Avoidance Learning." Quarterly Journal of Experimental Psychology Section B 55, no. 2b (2002): 171–84. http://dx.doi.org/10.1080/02724990143000261.

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The main finding of these experiments was a positive contrast effect in one-way avoidance learning. Experiment 1 showed that increasing safety time during one-way avoidance training led to improved performance, surpassing that of a control group that had received the high reward (safe time) from the beginning of training. Experiment 2 showed that a similar positive contrast effect occurred when the time spent in the danger compartment before the onset of the warning signal was shortened. These results suggest that time spent in a safe context acts as a reinforcer of the avoidance response; how

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Afacan, Şenol, and Emin Erdem. "Investigating Problem-Solving Skills of Students Having Professional Music Training in Terms of Multiple Variables." International Journal of Educational Methodology 8, no. 1 (2022): 117–27. http://dx.doi.org/10.12973/ijem.8.1.117.

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<p style="text-align: justify;">The present study aims to investigate the problem-solving skills of the students getting professional music training. For this study, the problem-solving inventory was administered to participants from two different universities in Turkey. Participants’ problem-solving skills were assessed in relation to the overall inventory and subscales, and the differences based on grade level, gender, and universities were examined using Statistical Package for the Social Sciences (SPSS). Results revealed that participants occasionally used their problem-solving skill

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Meule, Adrian, Anna Richard, Radomir Dinic, and Jens Blechert. "Effects of a Smartphone-Based Approach-Avoidance Intervention on Chocolate Craving and Consumption: Randomized Controlled Trial." JMIR mHealth and uHealth 7, no. 11 (2019): e12298. http://dx.doi.org/10.2196/12298.

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Background Repeatedly pushing high-calorie food stimuli away based on joystick movements has been found to reduce approach biases toward these stimuli. Some studies also found that such avoidance training reduced consumption of high-calorie foods. Objective This study aimed to test effects of a smartphone-based approach-avoidance intervention on chocolate craving and consumption, to make such interventions suitable for daily use. Methods Within a 10-day period, regular chocolate eaters (n=105, 86% female) performed five sessions during which they continuously avoided (ie, swiped upward) chocol

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Krypotos, Angelos-Miltiadis, Inna Arnaudova, Marieke Effting, Merel Kindt, and Tom Beckers. "Effects of Approach-Avoidance Training on the Extinction and Return of Fear Responses." PLOS ONE 10, no. 7 (2015): e0131581. http://dx.doi.org/10.1371/journal.pone.0131581.

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Van Dessel, Pieter, Jan De Houwer, Arne Roets, and Anne Gast. "Failures to change stimulus evaluations by means of subliminal approach and avoidance training." Journal of Personality and Social Psychology 110, no. 1 (2016): e1-e15. http://dx.doi.org/10.1037/pspa0000039.

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Krishna, Anand, and Andreas B. Eder. "No effects of explicit approach-avoidance training on immediate consumption of soft drinks." Appetite 130 (November 2018): 209–18. http://dx.doi.org/10.1016/j.appet.2018.08.023.

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Chen, Zhang, and Pieter Van Dessel. "Action Interpretation Determines the Effects of Go/No-Go and Approach/Avoidance Actions on Stimulus Evaluation." Open Mind 8 (2024): 898–923. http://dx.doi.org/10.1162/opmi_a_00151.

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Abstract Executing go/no-go or approach/avoidance responses toward a stimulus can change its evaluation. To explain these effects, some theoretical accounts propose that executing these responses inherently triggers affective reactions (i.e., action execution), while others posit that the evaluative influences originate from interpreting these responses as valenced actions (i.e., action interpretation). To test the role of action execution and action interpretation in these evaluative effects, we developed a novel training task that combined both go/no-go and approach/avoidance actions orthogo

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Gillam, Andrew R., and Alina M. Waite. "Gender differences in predictors of technology threat avoidance." Information & Computer Security 29, no. 3 (2021): 393–412. http://dx.doi.org/10.1108/ics-01-2020-0008.

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Purpose The purpose of this paper is to examine gender differences in predictors of technology threat avoidance motivation and behavior among working US adults. Implications were considered in regard to cybersecurity awareness training motivation and perceptions of need for protective cybersecurity behavior in the workplace. Design/methodology/approach A single-shot regression-based study used ordinal regression supported by K-means clustering to evaluate the moderating effects of gender on predictors of technology threat avoidance motivation and behavior on a sample of n = 206 US adult worker

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Juergensen, James, and Christina Leckfor. "Stop Pushing Me Away: Relative Level of Facebook Addiction Is Associated With Implicit Approach Motivation for Facebook Stimuli." Psychological Reports 122, no. 6 (2018): 2012–25. http://dx.doi.org/10.1177/0033294118798624.

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The use of Facebook and other social media sites has increased to the point that some consider it to be a behavioral addiction. Previously, research has used the Approach–Avoidance Task to measure implicit approach and withdrawal tendencies in response to a variety of stimuli, including alcohol, desserts, cigarettes, spiders, and cannabis. When responding to these types of stimuli, individuals typically evidence an approach bias toward appetitive images and a withdrawal bias in response to undesirable and/or fearful stimuli. The present study was designed to test the validity of an adapted ver

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Gråstén, Arto, Hannele Forsman, and Anthony Watt. "The associations and development of motivational climate, achievement goals, and physical functional skills in young floorball players." International Journal of Sports Science & Coaching 13, no. 6 (2018): 958–67. http://dx.doi.org/10.1177/1747954118787656.

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The present study examined the associations and development of motivational climate, achievement goals, and physical functional skills in young floorball players, as simultaneous antecedents and outcomes of achievement goals and the game of floorball warrant further studies. A total of 283 male players with a mean age of 11.49 (±.27) years in the beginning of the data collection were followed across two measurement phases, separated by a 12-month interval. Players completed physical functional skill tests and self-report questionnaires. The findings showed that the perceptions of task-involvin

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Veling, Harm, Iris A. M. Verpaalen, Huaiyu Liu, Farnaz Mosannenzadeh, Daniela Becker, and Rob W. Holland. "How can food choice best be trained? Approach-avoidance versus go/no-go training." Appetite 163 (August 2021): 105226. http://dx.doi.org/10.1016/j.appet.2021.105226.

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Schakel, Lemmy, Dieuwke S. Veldhuijzen, Henriët van Middendorp, et al. "The effects of a gamified approach avoidance training and verbal suggestions on food outcomes." PLOS ONE 13, no. 7 (2018): e0201309. http://dx.doi.org/10.1371/journal.pone.0201309.

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Lester, Kathryn J., Stephen C. Lisk, Nina Mikita, et al. "The effects of verbal information and approach-avoidance training on children's fear-related responses." Journal of Behavior Therapy and Experimental Psychiatry 48 (September 2015): 40–49. http://dx.doi.org/10.1016/j.jbtep.2015.01.008.

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Leung, Tiffany S., Krisztina V. Jakobsen, Sarah E. Maylott, Arushi Malik, Shuo Zhang, and Elizabeth A. Simpson. "Training Improves Avoidance of Natural Sick Faces: Changes in Visual Attention and Approach Decisions." Vision 9, no. 2 (2025): 39. https://doi.org/10.3390/vision9020039.

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Humans evolved a behavioral immune system to avoid infectious disease, including the ability to detect sickness in faces. However, it is unclear whether the ability to recognize and avoid facial cues of disease is malleable, flexibly calibrated by experience. Thus, we experimentally tested whether we can improve adults’ (N = 133) lassitude (sick) face perception, measuring their recognition, avoidance, and visual attention to naturally sick and healthy faces. Participants randomly assigned to a training about disease, but not a control group, were better at avoiding sick people. The disease-tr

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Eiler, Tanja Joan, Benjamin Haßler, Armin Grünewald, et al. "Swipe up to smoke less cigarettes! Introducing a mobile Approach-Avoidance Task Application to fight Smoking." Current Directions in Biomedical Engineering 6, no. 3 (2020): 567–70. http://dx.doi.org/10.1515/cdbme-2020-3145.

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AbstractAutomatic tendencies to approach addictionrelated stimuli have been linked to the development and maintenance of harmful drug use behavior. Recent studies have shown that these automatic approaches can be directly addressed and modified by cognitive bias modification (CBM). However, the training and treatment effects are rather small and compliance could be impaired by time-consuming, multiple laboratory training sessions. Here we present a mobile variant of the Approach-Avoidance Task (app-AAT), which is evaluated by a feasibility study. The app-AAT is designed to improve the efficien

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Laurens, Melissa C., Marcel E. Pieterse, Marjolein Brusse-Keizer, et al. "Alcohol Avoidance Training as a Mobile App for Problem Drinkers: Longitudinal Feasibility Study." JMIR mHealth and uHealth 8, no. 4 (2020): e16217. http://dx.doi.org/10.2196/16217.

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Background Alcohol use is associated with an automatic tendency to approach alcohol, and the retraining of this tendency (cognitive bias modification [CBM]) shows therapeutic promise in clinical settings. To improve access to training and to enhance participant engagement, a mobile version of alcohol avoidance training was developed. Objective The aims of this pilot study were to assess (1) adherence to a mobile health (mHealth) app; (2) changes in weekly alcohol use from before to after training; and (3) user experience with regard to the mHealth app. Methods A self-selected nonclinical sampl

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Hahn, Austin M., Raluca M. Simons, Jeffrey S. Simons, Reinout W. Wiers, and Logan E. Welker. "Can Cognitive Bias Modification Simultaneously Target Two Behaviors? Approach Bias Retraining for Alcohol and Condom Use." Clinical Psychological Science 7, no. 5 (2019): 1078–93. http://dx.doi.org/10.1177/2167702619834570.

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This study tested the effectiveness of a cognitive bias modification (CBM) intervention to simultaneously reduce approach biases toward alcohol and increase approach biases toward condoms among high-risk young adults. Participants ( N = 102) were randomly assigned to either a training condition or a sham-training condition. Participants in the training condition were trained to make avoidance movements away from alcohol stimuli and approach movements toward condom stimuli over four training sessions. Approach biases and behavior were assessed at pretest, posttest, and 3-month follow-up. Approa

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Abramowicz, P., M. Gołębiewski, A. Górecka-Bruzda, and P. Brzozowski. "Effectiveness of »natural stockmanship« training in cattle." Archives Animal Breeding 56, no. 1 (2013): 109–26. http://dx.doi.org/10.7482/0003-9438-56-011.

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Abstract. The objective of this study was to investigate whether natural stockmanship training can be effective in the elimination of avoidance reactions by generating submissive behaviour in dairy cattle. The training session was divided into two procedures: natural stockmanship training focused on getting a submissive response to human approach; natural halter training focused on acceptance of stroking with a halter and fitting it. Both procedures were conducted on unrestrained animals by skilled trainer. Two tests were developed to assess the effectiveness of the method: »udder touching« te

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Laskov, Lasko. "Error Management Training in Computer Programming Courses through a System of Tasks." Mathematics and Informatics LXV, no. 5 (2022): 450–66. http://dx.doi.org/10.53656/math2022-5-1-err.

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Errors are an indivisible part of computer programming, and as such their incorporation as a tool in teaching is a natural approach to stimulate learners to be an active side in the educational process. The application of errors as an instrument for illustration of knowledge, and the encouragement of students to learn from them, is the main approach of Error Management Training (EMT). EMT has been shown in number of psychological studies (Frese 1995; Keith & Frese 2008; Dyre et al. 2017) as an efficient teaching technique, even compared to the traditional error-avoidance methods. In this p

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Abdul Rahman, Rahayu, Suraya Masrom, Normah Omar, and Maheran Zakaria. "An application of machine learning on corporate tax avoidance detection model." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 721. http://dx.doi.org/10.11591/ijai.v9.i4.pp721-725.

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Corporate tax avoidance reduces government revenues which could limit country development plans. Thus, the main objectives of this study is to establish a rigorous and effective model to detect corporate tax avoidance to assist government to prevent such practice. This paper presents the fundamental knowledge on the design and implementation of machine learning model based on five selected algorithms tested on the real dataset of 3,365 Malaysian companies listed on bursa Malaysia from 2005 to 2015. The performance of each machine learning algorithms on the tested dataset has been observed base

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Rahayu, Abdul Rahman, Masrom Suraya, Omar Normah, and Zakaria Maheran. "An application of machine learning on corporate tax avoidance detection model." International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 721–25. https://doi.org/10.11591/ijai.v9.i4.pp721-725.

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Corporate tax avoidance reduces government revenues which could limit country development plans. Thus, the main objectives of this study is to establish a rigorous and effective model to detect corporate tax avoidance to assist government to prevent such practice. This paper presents the fundamental knowledge on the design and implementation of machine learning model based on five selected algorithms tested on the real dataset of 3,365 Malaysian companies listed on bursa Malaysia from 2005 to 2015. The performance of each machine learning algorithms on the tested dataset has been observed base

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Zhu, Xiaojun, Yinghao Liang, Hanxu Sun, Xueqian Wang, and Bin Ren. "Robot obstacle avoidance system using deep reinforcement learning." Industrial Robot: the international journal of robotics research and application 49, no. 2 (2021): 301–10. http://dx.doi.org/10.1108/ir-06-2021-0127.

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Purpose Most manufacturing plants choose the easy way of completely separating human operators from robots to prevent accidents, but as a result, it dramatically affects the overall quality and speed that is expected from human–robot collaboration. It is not an easy task to ensure human safety when he/she has entered a robot’s workspace, and the unstructured nature of those working environments makes it even harder. The purpose of this paper is to propose a real-time robot collision avoidance method to alleviate this problem. Design/methodology/approach In this paper, a model is trained to lea

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Xue, Yulong, Jianmin Yang, Qihang Chen, Jinghang Mao, Wenhao Xu, and Changyu Lu. "Optimized Deep Reinforcement Learning for Dual-Task Control in Deep-Sea Mining: Path Following and Obstacle Avoidance." Journal of Marine Science and Engineering 13, no. 4 (2025): 735. https://doi.org/10.3390/jmse13040735.

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This study investigates the dual-task control challenge of path following and obstacle avoidance for deep-sea mining robots operating in complex, unstructured environments. To address the limitations of traditional training strategies, we propose an optimized training framework that integrates environmental design enhancements and algorithmic advancements. Specifically, we develop a Dual-Task Training Environment by combining the Random Obstacle Environment with a newly proposed Obstructed Path Environment, ensuring a balanced learning approach. While agents trained solely in the Random Obstac

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Warschburger, Petra, Michaela Gmeiner, Marisa Morawietz, and Mike Rinck. "Battle of plates: a pilot study of an approach–avoidance training for overweight children and adolescents." Public Health Nutrition 21, no. 2 (2017): 426–34. http://dx.doi.org/10.1017/s1368980017002701.

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AbstractObjectiveApproach–avoidance training (AAT) is a promising approach in obesity treatment. The present study examines whether an AAT is feasible and able to influence approach tendencies in children and adolescents, comparing implicit and explicit training approaches.Design/Setting/SubjectsFifty-nine overweight children and adolescents (aged 8–16 years; twenty-six boys) participated in an AAT for food cues, learning to reject snack items and approach vegetable items. Reaction times in the AAT and an implicit association test (IAT) were assessed pre- and post-intervention.ResultsA signifi

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Li, Yawen, Pengfei Zhang, Zhongliu Wang, Dian Rong, Muyang Niu, and Cong Liu. "Multi-UAV Obstacle Avoidance and Formation Control in Unknown Environments." Drones 8, no. 12 (2024): 714. http://dx.doi.org/10.3390/drones8120714.

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To address the issues of local minima, target unreachability, and significant formation disruption during obstacle avoidance in the conventional artificial potential field (APF), a control approach that integrates APF with optimal consensus control which can achieve cooperative obstacle avoidance is proposed. Based on the double integrator multi-UAV formation model with a fixed undirected communication topology, the optimal consensus control protocol incorporating an obstacle avoidance cost function is introduced. This addresses the limitations of APF-based obstacle avoidance while simultaneou

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Van Dessel, Pieter, Jan De Houwer, Anne Gast, Arne Roets, and Colin Tucker Smith. "On the effectiveness of approach-avoidance instructions and training for changing evaluations of social groups." Journal of Personality and Social Psychology 119, no. 2 (2020): e1-e14. http://dx.doi.org/10.1037/pspa0000189.

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Becker, Daniela, Nils B. Jostmann, Reinout W. Wiers, and Rob W. Holland. "Approach avoidance training in the eating domain: Testing the effectiveness across three single session studies." Appetite 85 (February 2015): 58–65. http://dx.doi.org/10.1016/j.appet.2014.11.017.

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Rupp, Lydia Helene, Marie Keinert, Stephanie Böhme, et al. "Sadness-Based Approach-Avoidance Modification Training for Subjective Stress in Adults: Pilot Randomized Controlled Trial." JMIR Formative Research 7 (November 30, 2023): e50324. http://dx.doi.org/10.2196/50324.

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Background A key vulnerability factor in mental health problems is chronic stress. There is a need for easy-to-disseminate and effective interventions to advance the prevention of stress-related illnesses. App-based stress management trainings can fulfill this need. As subjectively experienced stress may be influenced by dysfunctional beliefs, modifying their evaluations might reduce subjective stress. Approach-avoidance modification trainings (AAMT) can be used to modify stimulus evaluations and are promising candidates for a mobile stress intervention. As the standard training reactions of t

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Kim, Haena, and Brian A. Anderson. "On the Relationship between Value- and Threat-Driven Attentional Capture and Approach-Avoidance Biases." Brain Sciences 13, no. 2 (2023): 158. http://dx.doi.org/10.3390/brainsci13020158.

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Reward learning and aversive conditioning have consequences for attentional selection, such that stimuli that come to signal reward and threat bias attention regardless of their valence. Appetitive and aversive stimuli have distinctive influences on response selection, such that they activate an approach and an avoidance response, respectively. However, whether the involuntary influence of reward- and threat-history-laden stimuli extends to the manner in which a response is directed remains unclear. Using a feedback-joystick task and a manikin task, which are common paradigms for examining val

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Mao, Ziqiang, and T. C. Hsia. "Obstacle avoidance inverse kinematics solution of redundant robots by neural networks." Robotica 15, no. 1 (1997): 3–10. http://dx.doi.org/10.1017/s0263574797000027.

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This paper investigates the neural network approach to solve the inverse kinematics problem of redundant robot manipulators in an environment with obstacles. The solution technique proposed requires only the knowledge of the robot forward kinematics functions and the neural network is trained in the inverse modeling manner. Training algorithms for both the obstacle free case and the obstacle avoidance case are developed. For the obstacle free case, sample points can be selected in the work space as training patterns for the neural network. For the obstacle avoidance case, the training algorith

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Wu, Menghao, Yanbin Gao, Pengfei Wang, Fan Zhang, and Zhejun Liu. "The Multi-Dimensional Actions Control Approach for Obstacle Avoidance Based on Reinforcement Learning." Symmetry 13, no. 8 (2021): 1335. http://dx.doi.org/10.3390/sym13081335.

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In robotics, obstacle avoidance is an essential ability for distance sensor-based robots. This type of robot has axisymmetrically distributed distance sensors to acquire obstacle distance, so the state is symmetrical. Training the control policy with a reinforcement learning method is a trend. Considering the complexity of environments, such as narrow paths and right-angle turns, robots will have a better ability if the control policy can control the steering direction and speed simultaneously. This paper proposes the multi-dimensional action control (MDAC) approach based on a reinforcement le

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Matsuda, Izumi, and Hiroshi Nittono. "Repeated response execution and inhibition alter subjective preferences but do not affect automatic approach and avoidance tendencies toward an object." PeerJ 11 (October 10, 2023): e16275. http://dx.doi.org/10.7717/peerj.16275.

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Background Repeated action or inaction toward objects changes preferences for those objects. However, it remains unclear whether such training activates approach-avoidance motivation toward the objects, which leads to actual behavior. We conducted a pre-registered online experiment to examine whether approach and avoidance tendencies were affected by the experience of having executed or withheld a button-press response to a stimulus. Methods Participants (N = 236) performed a Go/NoGo task in which they were asked to repeatedly execute a response to a picture of a mug (i.e., Go-primed stimulus)

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Jacobus, Joanna, Charles T. Taylor, Kevin M. Gray, et al. "A multi-site proof-of-concept investigation of computerized approach-avoidance training in adolescent cannabis users." Drug and Alcohol Dependence 187 (June 2018): 195–204. http://dx.doi.org/10.1016/j.drugalcdep.2018.03.007.

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Bukhari, Syed Sarmad, Anisa Kalsoom, Muhammad Junaid, and Maqbool Raza. "THE TRANSNASAL APPROACH TO SELLAR LESIONS. A NEUROSURGICAL EXPERIENCE AND PERSPECTIVE." PAFMJ 71, Suppl-3 (2021): S634–36. http://dx.doi.org/10.51253/pafmj.v1i1.7914.

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The transnasal approach for pituitary lesions has been adopted increasingly by neurosurgeons for removing sellar lesions. It has made surgery in this region safer with fewer complications in experienced hands. However, the approach requires good knowledge of nasal anatomy and formal training to achieve good results since the territory is unfamiliar to most neurosurgeons. The approach has a somewhat steep learning curve. In our experience of 41 cases, we have presented here. We have discussed the history of this approach, technique and relevant complications and their avoidance.

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Medjaldi, Amar, Yacine Slimani, and Nora Karkar. "Cost-Effective Real-Time Obstacle Detection and Avoidance for AGVs using YOLOv8 and RGB-D Sensors." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 21738–45. https://doi.org/10.48084/etasr.10135.

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Recent advances in obstacle detection and avoidance technologies have significantly enhanced robotic navigation capabilities. This study presents a real-time obstacle detection and avoidance system leveraging YOLOv8 and RGB-D sensors. The system integrates Microsoft Kinect V1 to capture RGB and depth images, employing YOLOv8 for efficient real-time object detection and classification. Depth data are utilized to calculate object distances and positions, allowing accurate navigation decisions. Implemented on the Pioneer 3DX robot, the system demonstrates high efficiency, reliability, and adaptab

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Lopina, Erika C., Steven G. Rogelberg, and Haley Woznyj. "Understanding Older Workers’ Decisions to Participate in Voluntary Training Opportunities." Journal of Personnel Psychology 18, no. 4 (2019): 189–200. http://dx.doi.org/10.1027/1866-5888/a000235.

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Abstract. Age-related changes in training decisions were examined using a within-subject experimental design presenting training framing cues of topic (generativity vs. non-generativity), goal (direction: approach vs. avoidance; referent: mastery vs. performance), and structure (self-paced vs. instructor-paced). As age increased, age-related cues were hypothesized to be more strongly and positively related to the training decision. One hundred and twenty-nine participants completed a policy-capturing study and self-report survey. Age moderated the relationship between the training topic and th

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