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Behavior Control

Behavior Control is the regulation and management of an individual's actions, emotions, and cognitions.
It encompasses the processes and strategies used to influence, modify, or direct behavior towards desired outcomes.
This can involve techniques such as reinforcement, punishment, self-monitoring, and cognitive-behavioral interventions.
Effective behavior control is crucial in various domains, including mental health, education, organizational management, and public policy.
By understanding and applying behavior control principles, researchers and practitioners can optimize human performance, promote adaptive behaviors, and address maladaptive patterns.
The field of behavior control draws from psychology, neuroscience, and other relevant disciplines to develop evidence-based approahces that empower individuals and organizations to achieve their goals.

Most cited protocols related to «Behavior Control»

1
Developing a Comprehensive Behavior Change Framework
Cited 176 times
The new framework was developed by tabulating the full set of intervention categories that had been identified and establishing links between intervention characteristics and components of the COM-B system that may need to be changed. The definitions and conceptualisation of the intervention categories were refined through discussion and by consulting the American Psychological Association's Dictionary of Psychology and the Oxford English Dictionary. The resulting framework was then compared with the existing ones in terms of the criteria of usefulness (i.e., met or not met).
Finally, a structure for the framework, in terms of organisation of components and links between them was arrived at through an iterative process of discussion and testing against specific examples and counter-examples. Linking interventions to components of the behaviour system was achieved with the help of a broad theory of motivation that encapsulated both reflective and automatic aspects, and focused on the moment to moment control of behaviour by the internal and external environment which in turn is influenced by that behaviour and the processes leading up to it [7 ]. Thus, for example, interventions that involved coercion could influence reflective motivation by changing conscious evaluations of the options or by establishing automatic associations between anticipation of the behaviour and negative feelings in the presence of particular cues. There is not the space to go into details of this analysis here. These can be found in [7 ].
Michie S., van Stralen M.M, & West R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science : IS, 6, 42.
Publication 2011
Behavior Control Behavior Therapy Concept Formation Consciousness Feelings Motivation
2
Development of Comprehensive Behavior Change Questionnaire
Cited 52 times
We developed a questionnaire that initially included 79 items assessing each of the domains through their related key constructs (see Additional file
1). Constructs within domains were selected based on conceptual relatedness to the content of the domain (i.e., Knowledge, Procedural knowledge, Skills, Professional role, and Memory); inclusion in relevant theories frequently used in the field of behavior change (and thus ready access to existing items): the Theory of Planned Behavior
[41 (link)] (i.e., Perceived behavioral control, Attitudes, Subjective norm, and Intention) and Social Cognitive Theory
[42 (link)] (i.e., Self-efficacy, Outcome expectancies, and Social support); existence of validated scales (i.e., Optimism, Pessimism, Action planning, Attention, Affect, Stress, Automaticity, and Self-monitoring); and/or relevance to the implementation of PA interventions in routine healthcare by mapping factors resulting from previous research
[43 (link),44 (link)] onto the TDF domains. JP and JMH independently identified that the constructs Reinforcement, Priority, Resources/materials, and Descriptive norm were salient in the previous PA-based research and thus these constructs were also included as construct-indicators of their respective domains.
Items measuring constructs within the domains Knowledge, Beliefs about capabilities, Optimism, Beliefs about consequences, Intentions, Social influences, Emotion, and Behavioral regulation were adapted from previously published questionnaires (i.e.,
[34 (link),35 (link),41 (link),42 (link),45 -53 ]). Given lack of available questionnaires in the literature for some domains, new items were created for the domains Skills, Social/professional role and identity, Reinforcement, and Environmental context and resources. With regard to the domain Goals, items were newly developed for the construct Priority (as none could be located in the literature), while items measuring the construct Action planning were adapted from a previously published questionnaire
[46 (link)]. With regard to the domain Memory, attention, and decision making, items measuring the construct Attention were adapted from a previously published questionnaire
[51 (link)] and items measuring the construct Memory were newly developed. New items were developed based on discussions between JP and JMH. These discussions were informed by the academic literature on the concept and definition of specific domains and constructs, questions to identify behavior change processes as formulated by Michie et al.[31 (link)], and themes emerging from interviews on the implementation of PA interventions
[43 (link)]. WAG and MRC supervised the development of the questionnaire and reviewed items’ face validity.
To develop a questionnaire which could be used by researchers in different fields of implementation research, items were formulated in a generic way using a '[action] in [context, time] with [target]’ construction based on the 'TACT principle’
[38 ], whereby researchers can specify the target, action, context, and time relevant to their research. The questionnaire was developed in English, then translated to Dutch and back-translated to English by an independent translator. The small amount of differences between the original and back-translated version of the questionnaire were discussed and adaptations were made.
Huijg J.M., Gebhardt W.A., Crone M.R., Dusseldorp E, & Presseau J. (2014). Discriminant content validity of a theoretical domains framework questionnaire for use in implementation research. Implementation Science : IS, 9, 11.
Publication 2014
Acclimatization Attention Behavior Control bis(tetraheptylammonium)tetraiodocyclopentane tellurate(IV) Emotions Generic Drugs Memory Optimism Pessimism Reinforcement, Psychological
3
Development of a Questionnaire Assessing Factors Influencing Physical Activity Intervention Implementation
Cited 43 times
We developed a questionnaire that initially included 100 items assessing each of the domains through their related key constructs (see Additional file 1). First, constructs within domains were selected based on:
1. Their conceptual relatedness to the content of the domain (i.e., Knowledge, Skills, Professional role, and Memory);
2. Their inclusion in relevant theories frequently used in the field of behavior change (and thus ready access to existing items): the Theory of Planned Behavior [41 (link)] (i.e., Perceived behavioral control, Attitude, Subjective norm, and Intention) and Social Cognitive Theory [42 (link)] (i.e., Self-efficacy, Outcome expectancies, and Social support);
3. The existence of validated scales to measure constructs (i.e., Role clarity, Optimism, Emotions, Action planning, Coping planning, Automaticity); and/or
4. Constructs’ relevance to the implementation of PA intervention in routine healthcare by mapping factors resulting from previous research [13 (link),43 (link)] onto the TDF domains (i.e., Reinforcement, Priority, Characteristics of the innovation, Characteristics of the socio-political context, Characteristics of the organization, Characteristics of the participants, Characteristics of the innovation strategy, Descriptive norm).
Second, for each domain a minimum of two and a maximum of 24 items were developed, with an average of 4 items for each construct. Items were related to the target behavior ‘delivering PA interventions following the guidelines’. Items measuring the constructs within the domains ‘Knowledge’, ‘Beliefs about capabilities’, ‘Social influences’, ‘Emotion’, ‘Behavioral regulation’, and ‘Nature of the behaviors’ [37 (link),41 (link),42 (link),44 -49 ] were adapted from previously published questionnaires. The content of these items was based on previous research on factors influencing the implementation of PA intervention in routine healthcare [13 (link),43 (link)]. For instance, items measuring the constructs Self-efficacy [41 (link)] and Coping planning [47 (link)] were developed so that they included HCPs’ barriers of lack of time and patient motivation. Items measuring constructs within the domains ‘Skills’, ‘Social/professional role and identity’, ‘Memory, attention, and decision processes’ were based on results of the discriminant content validity study [40 (link)]. With regard to the domain ‘Beliefs about consequences’, items measuring the constructs Attitude [41 (link)] and Outcome expectancies [42 (link)] were adapted from previously published questionnaires, whereas items measuring the construct Reinforcement were newly developed (as none could be located in the literature). Regarding the domain ‘Motivation and goals’, items measuring the construct Intention were adapted from a previously published questionnaire [41 (link)], while items were newly developed for the construct Priority. Furthermore, new items were created for the domain ‘Environmental context and resources’. New items were developed based on discussions between WAG, MRC, and JMH. These discussions were informed by the academic literature on the concept and definition of specific domains and constructs, questions to identify behavior change processes as formulated by Michie et al. [28 (link)], and themes emerging from interviews on the implementation of PA interventions [43 (link)]. Finally, the questionnaire was piloted among five colleague researchers and a sample of eight physical therapists. Piloting indicated that the questionnaire was easily understood and well received by the respondents.
Huijg J.M., Gebhardt W.A., Dusseldorp E., Verheijden M.W., van der Zouwe N., Middelkoop B.J, & Crone M.R. (2014). Measuring determinants of implementation behavior: psychometric properties of a questionnaire based on the theoretical domains framework. Implementation Science : IS, 9, 33.
Publication 2014
Attention Behavior Control Behavior Therapy Emotions Memory Motivation Optimism Patients Physical Therapist Reinforcement, Psychological
4
Theoretical Framework of Acceptability Expansion
Cited 25 times
The deductive process was conducted iteratively using the following three steps:
(1) We considered whether the coverage of the preliminary TFA (v1) could usefully be extended by reviewing the identified component constructs of acceptability against our conceptual definition of acceptability and the results of the overview of reviews.
(2) We considered a range of theories and frameworks from the health psychology and behaviour change literatures that have been applied to predict, explain or change health related behaviour.
(3) We reviewed the constructs from these theories and frameworks for their applicability to the TFA. Examples of theories and frameworks discussed include the Theory of Planned Behaviour (TPB) [37 (link)] (e.g. the construct of Perceived Behavioural Control) and the Theoretical Domains Framework (TDF) [38 (link)] (e.g. the constructs within the Beliefs About Capabilities domain). We discussed whether including additional constructs would add value to the framework in assessing acceptability, specifically if the additional constructs could be measured as cognitive and / or emotional responses to the intervention. The TPB and the TDF focus on beliefs about performing a behaviour whereas the TFA reflects a broader set of beliefs about the value of a healthcare intervention. We concluded that there was a more relevant theory that provides better fit with the TFA, the Common Sense Model (CSM) of self-regulation of health and illness [37 (link)]. The CSM focuses on beliefs about a health threat and coping procedures that might control the threat. This approach is thus consistent with the focus of the TFA on acceptability of healthcare interventions. The CSM proposes that, in response to a perceived health threat, individuals spontaneously generate five kinds of cognitive representation of the illness based around identity (i.e. associated symptoms), timeline, cause, control/cure, and consequences. Moss-Morris and colleagues [38 (link)] distinguished between personal control (i.e. the extent to which an individual perceives one is able to control one’s symptoms or cure the disease) and treatment control (i.e. the extent to which the individual believes the treatment will be effective in curing the illness). The third step in the deductive process resulted in the inclusion of both treatment control and personal control as additional constructs within the TFA (v1) (Fig. 1). With these additions the framework appeared to include a parsimonious set of constructs that provided good coverage of acceptability as defined.
Sekhon M., Cartwright M, & Francis J.J. (2017). Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Services Research, 17, 88.
Publication 2017
Behavior Control Cognition Emotions Mosses TimeLine
5
Foraging and Hunting Behavior in Rats
Cited 23 times
Three to 5 months old Long-Evans female rats were trained sequentially to forage and hunt virtual elements of a projected display in exchange for water rewards. The behavioral paradigm consists of a custom built arena made of structural framing components (Bosch Rexroth, DE). The floor of the arena is a rear-projection screen made out of a frosted acrylic panel. In order to compensate for the short-throw distance, the projected image is reflected off a mirror positioned below the arena floor. Video was recorded using a high-speed monochrome video camera (Flea3, Point Gray, CA) equipped with a visible light cutoff filter (R72, Hoya, JP) and analyzed in real-time using Bonsai. Infrared LED strips were positioned at the bottom of the arena in order to illuminate the floor through the diffuser, allowing for the tracking of the animal without contamination from the visual stimulus. Animals were first conditioned to a tone as a secondary reinforcer and then subsequently trained to either touch the light presented at random locations (foraging) or pursue a moving spot (hunting). Performance, monitoring and control of the behavior box was done using an Arduino board (Micro, Arduino, IT) and a Bonsai reactive state machine.
Lopes G., Bonacchi N., Frazão J., Neto J.P., Atallah B.V., Soares S., Moreira L., Matias S., Itskov P.M., Correia P.A., Medina R.E., Calcaterra L., Dreosti E., Paton J.J, & Kampff A.R. (2015). Bonsai: an event-based framework for processing and controlling data streams. Frontiers in Neuroinformatics, 9, 7.
Publication 2015
Animals Behavior Control Light Light, Visible Rats, Long-Evans Reading Frames Touch Woman

Most recents protocols related to «Behavior Control»

1
Rotating Rotor Sensor System
Not available on PMC !

Example 10

FIG. 20 illustrates a further embodiment using a primary system with a rotating rotor 50 that rotates on application of a force F to the rotor 50. The rotor 50 may have sensors 51 (only one shown for clarity) and the sensed motion characteristics are received and measured by a controller 52 such as a processor or micro-processor. The controller 52 need not be directly on the primary system 50, 51 or a part thereof as illustrated schematically in FIG. 20. The controller 52 compares the sensed motion characteristics against a database of known motion characteristic measurements and/or profiles and determines if the sensed motion characteristics have reached or exceeded a threshold. Alternatively, the controller may compare the motion characteristic values against a set threshold level. On activation, the controller 52 operates a motor 53 (a secondary system) that resists or halts the primary system (rotor 50 and sensors 51) rate of rotation.

US11878651B2. Variable behavior control mechanism for a motive system (2024-01-23). EDDY CURRENT LIMITED PARTNERSHIP [NZ]. Inventors: Andrew Karl Diehl [NZ], Peter Scott [NZ], Benjamin Woods [NZ], Lincoln Frost [NZ].
Patent 2024
Behavior Control Motivation
2
Adaptive Activation Mechanism via Motion Characteristics
Not available on PMC !

Example 7

In this example a more practical approach is shown of the mechanism of Example 7 above where activation results when one motion characteristic, e.g., acceleration, influences the threshold of activation for sensing on another motion characteristic, e.g., velocity.

As shown in FIG. 14, the activation mechanism may comprise a pawl 50 mounted on a rotating disk 51 that is retained by a bias element 52 (magnet, spring etc.) between the pawl 50 and an inertial mass 53 also mounted on the rotating disk 51. When the disk 51 is spinning, a centripetal force is present on the pawl 50 that acts against the bias element 52. Another bias element 54 is present between the rotating disk 51 and the inertial mass 53. Upon rotational acceleration of the disk 51, the inertial mass 53 acts against the bias element 52 and rotates relative to the disk 51, moving the pawl 50 bias element 52 closer to the pawl 50 pivot axis 55, thereby reducing the restraining torque and lowering the rotational velocity at which the pawl 50 overcomes the bias element 52. When the disk 51 is spinning at a constant velocity or subjected to only a small acceleration the bias element 52 between the pawl 50 and the inertial mass 53 remains further away from the pawl 50 pivot axis 55, thus providing a higher restraining torque, requiring a greater rotational velocity for the pawl 50 to overcome the bias element 52. When the pawl 50 overcomes the bias element 52 a secondary stopping or braking system 56 is engaged (activation).

The possible resulting profiles for the above mechanism, assuming velocity and acceleration are the motion characteristics might look as per:

FIG. 15 where the threshold T is reached when a combination of high acceleration and low velocity occurs, the profile changing via a curved path;

FIG. 16 where the threshold T is reached when a combination of high acceleration and low velocity occurs, the profile changing in a linear step manner; or

FIG. 17 where the threshold T is reached when a combination of a high acceleration and high velocity occurs and the profile changing in a relatively linear manner. As should be appreciated, the exact profile will be dependent on the system dynamics.

US11878651B2. Variable behavior control mechanism for a motive system (2024-01-23). EDDY CURRENT LIMITED PARTNERSHIP [NZ]. Inventors: Andrew Karl Diehl [NZ], Peter Scott [NZ], Benjamin Woods [NZ], Lincoln Frost [NZ].
Patent 2024
Acceleration Behavior Control Epistropheus Motivation SERPINA3 protein, human Torque
3
Rotary Activation Mechanism with Pawl
Not available on PMC !

Example 11

FIG. 21 illustrates a further rotary embodiment, the activation mechanism having a pawl 60 mounted to a rotating disk 61 retained by a bias element 62. The pawl 60 is affected by centripetal force due to rotational velocity as well as inertial force caused by acceleration, both of which act against the bias element 62. The pawl 60 moves relative to the disk 61 when the combination of velocity and acceleration achieves a predetermined threshold, thus engaging the secondary stopping or braking system 63.

US11878651B2. Variable behavior control mechanism for a motive system (2024-01-23). EDDY CURRENT LIMITED PARTNERSHIP [NZ]. Inventors: Andrew Karl Diehl [NZ], Peter Scott [NZ], Benjamin Woods [NZ], Lincoln Frost [NZ].
Patent 2024
Acceleration Behavior Control Motivation
4
Cerebral Control for Respiratory Event Detection
Not available on PMC !

Example 9

In a ninth example, reference is made to table 3. Table 3 illustrates a typical behaviour of cerebral control for the detection of respiratory events and non-respiratory motor events. It can be seen that to detect an obstructive apnoea-hypopnea, the analysis unit will for example use a median and/or a mean value on the first and second flow of measurement signals. An observation time of at least two breathing cycles or 10 seconds will be preferred to make the analysis more reliable. Obstructive apnoea-hypopnea is characterized by large cerebral control amplitude at the respiratory rate that can be repeated cyclically or non-cyclically. It will end with a large mandibular movement during cerebral activation. In particular, the distribution of the amplitude values of the mandibular movement in the stream under consideration will be analyzed.

To detect breathing effort linked to arousal (RERA), the unit of analysis will proceed in the same way as described in the previous paragraph. To detect a central apnoea-hypopnea the duration of observation will also be at least two breathing cycles or 10 seconds.

US11864910B2. System comprising a sensing unit and a device for processing data relating to disturbances that may occur during the sleep of a subject (2024-01-09). Sunrise SA [BE]. Inventors: Pierre Martinot [BE].
Patent 2024
Arousal Behavior Control Mandible Medical Devices Movement Neoplasm Metastasis Respiratory Rate Sleep Sleep Apnea, Central Sleep Apnea, Obstructive Vision Volition
5
Eddy Current Actuated Linear Mechanism
Not available on PMC !

Example 9

FIG. 19 illustrates a linear embodiment of the mechanism.

The primary system in this embodiment may be a carriage 40 that a pawl 41 is rotatingly linked to about axis 42. The pawl 41 may be paramagnetic and, when the primary system moves by carriage 40 motion M through a magnetic field 43 shown as the shaded area in FIG. 20, an eddy current drag force is imposed on the pawl 41 urging rotating movement of the pawl 41 about the pivot axis 42. A secondary system 44 may be engaged by the pawl 41 when rotation occurs. The pawl 41 may be a first sensor that is sensitive to velocity and a force sensor 45 may be located on the pawl 41 being a second sensor motion characteristic. A spring 46 may be located between the pawl 41 and carriage 40 that acts to provide a threshold and it is only when the sensed motion characteristics reach a predetermined level that the threshold is overcome and the pawl 41 may activate with the secondary system 44.

US11878651B2. Variable behavior control mechanism for a motive system (2024-01-23). EDDY CURRENT LIMITED PARTNERSHIP [NZ]. Inventors: Andrew Karl Diehl [NZ], Peter Scott [NZ], Benjamin Woods [NZ], Lincoln Frost [NZ].
Patent 2024
Behavior Control Epistropheus Magnetic Fields Motivation Movement SERPINA3 protein, human

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More about "Behavior Control"

Behavior Regulation, Behavior Management, Behavior Modification, Behavioral Control, Behavioral Intervention, Behavior Optimization, Behavioral Optimization, Behavioral Science, Cognitive Behavioral Therapy, CBT, Reinforcement, Punishment, Self-Monitoring, Cognitive-Behavioral Techniques, Human Performance Optimization, Adaptive Behavior, Maladaptive Patterns, Sprague-Dawley Rats, MATLAB, LabVIEW, SPSS v26, SPSS v21, MO-95, Prism 8, Prism 6, SPSS v25, SAS 9.4.
Behavior control is the regulation and management of an individual's actions, emotions, and cognitions.
It involves techniques like reinforcement, punishment, self-monitoring, and cognitive-behavioral interventions to influence, modify, or direct behavior towards desired outcomes.
Effective behavior control is crucial in mental health, education, organizational management, and public policy.
By understanding and applying behavior control principles, researchers and practitioners can optimize human performance, promote adaptive behaviors, and address maladaptive patterns.
PubCompare.ai is an AI-driven platform that can help you locate and compare behavioral research protocols from literature, pre-prints, and patents, empowering you to identify the best protocols and products for your needs.
Take the guesswork out of your behavioral research with PubCompare.ai - the ultimate tool for behavior control and optimization.