Monitoring Online Training Behaviors: Awareness of Electronic Surveillance Hinders E-Learners

Effects of the Interactive Features of Virtual Partner on Individual Exercise Level and Exercise Perception

BACKGROUND

We designed an exercise system in which the user is accompanied by a virtual partner (VP) and tested bodyweight squat performance with different interactive VP features to explore the comprehensive impact of these VP features on the individual's exercise level (EL) and exercise perception.

METHODS

This experiment used three interactive features of VP, including body movement (BM), eye gaze (EG), and sports performance (SP), as independent variables, and the exercise level (EL), subjective exercise enjoyment, attitude toward the team formed with the VP, and local muscle fatigue degree of the exerciser as observational indicators. We designed a 2 (with or without VP's BM) × 2 (with or without VP's EG) × 2 (with or without VP's SP) within-participants factorial experiment. A total of 40 college students were invited to complete 320 groups of experiments.

RESULTS

(1) Regarding EL, the main effects of BM and SP were significant (p < 0.001). The pairwise interaction effects of the three independent variables on EL were all significant (p < 0.05). (2) Regarding exercise perception, the main effects of BM (p < 0.001) and EG (p < 0.001) on subjective exercise enjoyment were significant. The main effect of BM on the attitude toward the sports team formed with the VP was significant (p < 0.001). The interaction effect of BM and SP on the attitude toward the sports team formed with the VP was significant (p < 0.001). (3) Regarding the degree of local muscle fatigue, the main effects of BM, EG, and SP and their interaction effects were not significant (p > 0.05).

CONCLUSION

BM and EG from the VP elevate EL and exercise perception during squat exercises, while the VP with SP inhibited the EL and harmed exercise perception. The conclusions of this study can provide references to guide the interactive design of VP-accompanied exercise systems.

Who Do I (Dis)Trust and Monitor for Ethical Misconduct? Status, Power, and the Structural Paradox

A wealth of research documents the critical role of trust for social exchange and cooperative behavior. The ability to inspire trust in others can often be elusive, and distrust can have adverse interpersonal and ethical consequences. Drawing from the literature on social hierarchy and interpersonal judgments, the current research explores the predictive role of a structural paradox between high power and low status in identifying the actors most likely to be distrusted and monitored for ethical misconduct. Across four studies and an internal meta-analysis, we found that the structural paradox was associated with distrust-related judgments and behaviors. In Study 1, high power-low status actors were judged as less trustworthy. In Studies 2 and 3, high power-low status actors were sent less money in a trust game, an effect fully mediated by feelings of dislike. Study 4 revealed that high power-low status actors were more likely to be monitored for cheating, an effect partially mediated by trust judgments. These findings contribute to business ethics research by identifying the structural paradox of high power-low status as a salient contextual influence impacting observers' distrust and monitoring dynamics. Implications for reducing observers' level of distrust of high power-low status actors are discussed.

Predicting Engagement in Electronic Surveillance in Romantic Relationships

The Internet is a common medium through which people engage in interpersonal electronic surveillance (IES) of one another. We know little empirically about what predicts IES in romantic relationships. The present study expands on factors identified in previous studies (including demographic characteristics, relational characteristics, and other psychosocial variables) to predict surveillance in romantic relationships. Internet users in established romantic relationships (n = 259) completed inventories on the frequency of surveillance behavior, relationship variables, demographic variables, and Internet usage variables. Hierarchical regression was applied to understand relationships between these behaviors and surveillance. The regression supported that relationship variables and Internet use variables significantly predicted IES in romantic relationships. These findings further our understanding of the Internet to surveil partners.

Big Data, Little Individual: Considering the Human Side of Big Data

Guzzo, Fink, King, Tonidandel, and Landis (2015) provide a clear overview of the implications of conducting research using big data. One element we believe was overlooked, however, was an individual-level perspective on big data; that is, what impact does this sort of data collection have on the individuals being studied? As psychologists, the ethics and impact of big data collection from workers should be at the forefront of our minds. In this reply, we use years of research on electronic monitoring and tracking to provide evidence that an individual-level perspective is an essential part of the discussion surrounding industrial–organizational psychology and big data. Specifically, we examine electronic performance monitoring (EPM) literature to identify how the widespread, pervasive collection of employee data affects employees’ attitudes and behaviors.