The discounting model selector: Statistical software for delay discounting applications

Original, open‐source computer software was developed and validated against established delay discounting methods in the literature. The software executed approximate Bayesian model selection methods from user‐supplied temporal discounting data and computed the effective delay 50 (ED50) from the best performing model. Software was custom‐designed to enable behavior analysts to conveniently apply recent statistical methods to temporal discounting data with the aid of a graphical user interface (GUI). The results of independent validation of the approximate Bayesian model selection methods indicated that the program provided results identical to that of the original source paper and its methods. Monte Carlo simulation (n = 50,000) confirmed that true model was selected most often in each setting. Simulation code and data for this study were posted to an online repository for use by other researchers. The model selection approach was applied to three existing delay discounting data sets from the literature in addition to the data from the source paper. Comparisons of model selected ED50 were consistent with traditional indices of discounting. Conceptual issues related to the development and use of computer software by behavior analysts and the opportunities afforded by free and open‐sourced software are discussed and a review of possible expansions of this software are provided.     

Dimensions of online behavior: toward a user typology.

Online behavior refers to organized (e.g., search) and unorganized (e.g., browse) interactions with both human (e.g., chat) and nonhuman (e.g., database) elements in online environments. The salient features of online behavior are conceptualized as sociability (human connection motives), utility (efficiency orientation), and reciprocity (cognitive stimulation and active involvement). Recently published factor analytic studies support the validity of these three dimensions of online behavior. The proposed Brief Test of Online Behavior (BTOB) contains five rating scale items that determine user position on each dimension of online behavior (i.e., 15 items in total). A typology of online behavior emerges as BTOB scores position users in the three-dimensional space created by the intersection of sociability, utility, and reciprocity. Subsequent research may validate the proposed dimensions of online behavior, establish practical applications of the BTOB, and connect type of user with cognitive, social, and emotional outcomes. For example, users who score high on sociability and reciprocity but low on utility may learn best in interactive and stimulating online environments, which necessarily include self-regulating software.     

C-quence: A tool for analyzing qualitative sequential data

C-quence is a software application that matches sequential patterns of qualitative data specified by the user and calculates the rate of occurrence of these patterns in a data set. Although it was designed to facilitate analyses of face-to-face interaction, it is applicable to any data set involving categorical data and sequential information. C-quence queries are constructed using a graphical user interface. The program does not limit the complexity of the sequential patterns specified by the user.     

Co-PoeTryMe: Interactive poetry generation

PoeTryMe is a poetry generation system that autonomously produces poems from a set of initial parameters. After using it, creative writers and other users of this system expressed the desire to partake in the creative process by directly interacting with PoeTryMe. This paper is motivated by the previous impressions. It illustrates some of the challenges of automatic poetry generation, highlights limitations of PoeTryMe, and reports on recent efforts to address user feedback and provide alternative ways of using this system. First, making some functionalities available via a web API enabled their exploitation by other systems. Those include the generation of single lines as well as retrieval of related words, allowing for additional constraints on the number of syllables, sentiment and rhyme. On top of this API, a co-creative interface, Co-PoeTryMe, has been developed. Co-PoeTryMe allows users to either start from scratch or from a generated draft. Extensive editing functionality has been incorporated, in particular, allowing lines and words to be switched or replaced by newly generated alternatives. Co-PoeTryMe, its interface and the co-creative process for producing poetry are described, along with a user study that provided useful feedback. Users pointed out the strengths of this new system, including its capacities in providing inspiration, and giving the user the ability to customize an existing draft and visualize the changes, but also pointed out weaknesses, primarily by identifying potential improvements in the user interface.     

FNDSB: A fuzzy-neuro decision support system for back pain diagnosis

Back pain is a common pain felt in the back. In the world, it is the fifth common reason for physician visits and in the U.S. about 90% of human adults have back pain at some time in their life. In this paper, we proposed a decision support system for intelligent diagnosis of back pain using a fuzzy-neuro technique to manage the fuzzy concepts. It is also provide an intelligent decision support platform that can assist physicians to diagnose and produce accurate medical advices. The proposed system consists of a user interface that receive symptoms and produce accurate diagnosis with its severity, a fuzzy inference system which contains the strategies of reasoning process based on fuzzification and defuzzification techniques, a fuzzy-neuro system that composed of neural network with fuzzy logic concepts, and a knowledge base which collects of linguistic fuzzy rules. The FNDSB describe knowledge acquisition and representation methods, a way of production linguistic fuzzy rules organization, fuzzification and defuzzification of clinical parameters as input and output values using a Triangular Membership Function (TMF) and Centroid of Area (CoA) techniques respectively. The FNDSB was evaluated using a case study of 10 patients from Al-diwaniyah teaching hospital. According to the evaluation results the system performance around 83.6% efficiency in producing accurate back pain diagnosis.     

PC operating system for measuring discrete biological responses during classical conditioning

A software package, written in C source code for MS-DOS 5.0 or higher IBM-compatible computers, was developed for the classical conditioning of discrete biological responses. The program’s primary functions include collecting and storing conditioning parameters, controlling presentation of stimuli, transforming discrete analog responses into dependent measures (e.g., CR frequencies and various measures of response topography), and generating data sets for use with commercial PC statistical packages. These functions were implemented in a windows-based user interface to increase the experimenter’s ease of use and to maximize efficiency in performing experimental procedures. Scrollable windows provide detailed visual displays that permit monitoring responses during conditioning and a review of each trial after the session is over. Additional software tools aid the visual inspection of response topographies, data manipulation, and calibration of the experimental apparatus. An overview of the system, its design objectives, and the user interface is presented.     

Do drivers accept cooperative behavior of their automated vehicle on highways?

Automated cooperatively interacting vehicles will change the future of traffic completely. Such vehicles will be capable of planning and carrying out maneuvers based on vehicle-to-vehicle and vehicle-to-infrastructure communication, enabling a safer driving experience. However, this gain of safety will only be effective if drivers use and accept the decisions made by advanced automated technology. Especially when drivers are cognitively distracted, new strategies might be necessary, e.g., by further explaining the reason for a cooperative decision.In a driving simulator study, we investigated the acceptance of lane change maneuvers in cooperative situations carried out by an automated vehicle on a two-lane German highway. When the automated system detected a potential lane change ahead, it carried out one of three possible maneuvers: accelerate, decelerate, or maintain speed. Participants (N = 20) were asked whether they accepted the system’s behavior either while being cognitively distracted or in an attentive state. Thus, we investigated the influence of a cognitively demanding secondary task and, in addition, further situational characteristics (Scope of action, Criticality for the lane-changing vehicle, Display of intention) on the acceptance towards the system’s behavior. Moreover, participants had to rate the perceived situation’s criticality.Results underlined the importance of explicit indication of the intention to change lanes. Furthermore, increased cognitive load led to a higher acceptance of the defensive system behavior. This study contributes to the development of a user-centered interface and interaction strategy for cooperative interacting vehicles.     

不对称社会困境中社会价值取向对合作的影响

以往研究表明, 社会价值取向对社会困境中合作行为变异的解释量不高。本研究指出, 初始资源配置导致个体处于某种优劣势位置上, 从而影响社会价值取向不同的个体的合作行为。研究设置了两人互动和多人互动两种情境, 通过变化被试所拥有的初始资源的相对价值或相对数量来操作优势差异, 检验亲社会者和亲自我者在社会困境中的心理与行为差异。研究结果表明, 在初始资源处于相对劣势位置时, 亲社会者比亲自我者表现出更高的合作水平。     

Computer workstations: Explorations in human and machine cognition

Professional and scientific work will increasingly be conducted at computer workstations. An expert-system adaptive interface is one method for supporting learning and raising productivity of workstation activities. A prototype application for an adaptive interface is described in terms of machine intelligence, needs, design philosophy, and cognitive research. The intelligent interface prototype includes the operator’s psychometric profile, prior performance history, and a current keystroke performance stack within a conventional expert system. Productions in the form of conditionals between the operator’s keystrokes and three types of commands to the underlying software are described and illustrated. Commands entered, syntax errors, excessive repetition of keystrokes, and skill level are used to detect the user’s intentions and accordingly modify the display and command structure of the underlying software. Determining human intentions to produce machine adaptation to individual users is not a trivial task. Efforts to develop a powerful and general adaptive interface pose significant problems, and success cannot be assured without intensive cognitive research.     

BayesSDT: Software for Bayesian inference with signal detection theory

This article describes and demonstrates the BayesSDT MATLAB-based software package for performing Bayesian analysis with equal-variance Gaussian signal detection theory (SDT). The software uses WinBUGS to draw samples from the posterior distribution of six SDT parameters: discriminability, hit rate, false alarm rate, criterion, and two alternative measures of bias. The software either provides a simple MATLAB graphical user interface or allows a more general MATLAB function call to produce graphs of the posterior distribution for each parameter of interest for each data set, as well as to return the full set of posteriorsamples.     

Micro Experimental Laboratory: An integrated system for IBM PC compatibles

Micro Experimental Laboratory (MEL) is a third-generation integrated software system for experimental research. The researcher fills in forms, and MEL writes the experimental program, runs the experiments, and analyzes the data. MEL includes a form-based user interface, automatic programming, computer tutorials, a compiler, a real-time data acquisition system, database management, statistical analysis, and subject scheduling. It can perform most reaction time, questionnaire, and text comprehension experiments with little or no programming. It includes a Pascal-like programming language and can call routines written in standard languages. MEL operates on IBM PC compatible computers and supports most display controllers. MEL maintains millisecond timing with high-speed text and graphics presentation. MEL provides a systematic approach to dealing with nine concerns in running an experimental laboratory.     

Database visualization

A typical database contains a wealth of data of which a user is unaware or unable to access. Converting these data into useful, meaningful information has previously been extremely difficult and haphazard. The availability of visualization software coupled with high-performance, multiprocessing Challenge data servers from Silicon Graphics, Inc., has enabled users to interact with their databases in real time, dramatically increasing the amount of information they can extract from their databases.     

A graphical user interface for infant ERP analysis

Recording of event-related potentials (ERPs) is one of the best-suited technologies for examining brain function in human infants. Yet the existing software packages are not optimized for the unique requirements of analyzing artifact-prone ERP data from infants. We developed a new graphical user interface that enables an efficient implementation of a two-stage approach to the analysis of infant ERPs. In the first stage, video records of infant behavior are synchronized with ERPs at the level of individual trials to reject epochs with noncompliant behavior and other artifacts. In the second stage, the interface calls MATLAB and EEGLAB (Delorme & Makeig, Journal of Neuroscience Methods 134(1):9–21, 2004) functions for further preprocessing of the ERP signal itself (i.e., filtering, artifact removal, interpolation, and rereferencing). Finally, methods are included for data visualization and analysis by using bootstrapped group averages. Analyses of simulated and real EEG data demonstrated that the proposed approach can be effectively used to establish task compliance, remove various types of artifacts, and perform representative visualizations and statistical comparisons of ERPs. The interface is available for download from http://www.uta.fi/med/icl/methods/eeg.html in a format that is widely applicable to ERP studies with special populations and open for further editing by users.     

A computer-controlled laboratory for studying infant event perception

An integrated software package for testing infants in a habituation procedure is described. The software is written for an Apple II computer with a minimum of 64K of memory. Additional interface cards are required for timing responses and displaying dynamic stimuli. The software is divided into four independent modules: (1) Configure Experiment allows the experimenter to design a specific experiment. (2) Run Experiment controls the running of a previously configured habituation experiment. (3) Calculate Reliability allows a second observer to score the subject for the purpose of computing reliability. (4) Data Summary and Formatting provides a summary of the results and allows the user to flexibly format the data for reading by various statistical packages.     

Subject-pool record keeping: A database application

This paper describes a record-keeping system we developed for our subject pool, utilizing ORACLE database software on a VAX computer. This system consists of three data tables and four processes: set up, updating, report generation, and editing. This article describes the rationale and function of each of these four processes in detail. All input and output is in ASCII format. The combination of ASCII files and the ORACLE database system produces a subject-pool recordkeeping system that is adaptable, expandable, and exportable.