Effects of automation on situation awareness in controlling robot teams

Declines in situation awareness (SA) often accompany automation. Some of these effects have been characterized as out-of-the-loop, complacency, and automation bias. Increasing autonomy in multi-robot control might be expected to produce similar declines in operators’ SA. In this paper we review a series of experiments in which automation is introduced in controlling robot teams. Automating path planning at a foraging task improved both target detection and localization which is closely tied to SA. Timing data, however, suggested small declines in SA for robot location and pose. Automation of image acquisition, by contrast, led to poorer localization. Findings are discussed and alternative explanations involving shifts in strategy proposed

The effects of team-skills training on transactive memory and performance

The existence of effective Transactive Memory Systems (TMS) in teams has been found to enhance task performance. Methods of developing Transactive Memory (TM) are therefore an important focus of research. This study aimed to explore one such method, the use of a generic team-skills training programme to develop TM and subsequent task performance. Sixteen three-member teams were all trained to complete a complex collaborative task, prior to which half the teams (n=8), completed a team-skills training programme. Results confirmed that those teams who had been trained to develop a range of team skills such as problem-solving, interpersonal relationships, goal setting and role allocation, evidenced significantly higher team skill, TM and performance than those who were not trained in such skills. Results are discussed with reference to the wider TM literature and the mechanisms through which team-skills training could facilitate the more rapid development of TM

Applying psychological science to the CCTV review process: a review of cognitive and ergonomic literature

As CCTV cameras are used more and more often to increase security in communities, police are spending a larger proportion of their resources, including time, in processing CCTV images when investigating crimes that have occurred (Levesley & Martin, 2005; Nichols, 2001). As with all tasks, there are ways to approach this task that will facilitate performance and other approaches that will degrade performance, either by increasing errors or by unnecessarily prolonging the process. A clearer understanding of psychological factors influencing the effectiveness of footage review will facilitate future training in best practice with respect to the review of CCTV footage. The goal of this report is to provide such understanding by reviewing research on footage review, research on related tasks that require similar skills, and experimental laboratory research about the cognitive skills underpinning the task. The report is organised to address five challenges to effectiveness of CCTV review: the effects of the degraded nature of CCTV footage, distractions and interrupts, the length of the task, inappropriate mindset, and variability in people’s abilities and experience. Recommendations for optimising CCTV footage review include (1) doing a cognitive task analysis to increase understanding of the ways in which performance might be limited, (2) exploiting technology advances to maximise the perceptual quality of the footage (3) training people to improve the flexibility of their mindset as they perceive and interpret the images seen, (4) monitoring performance either on an ongoing basis, by using psychophysiological measures of alertness, or periodically, by testing screeners’ ability to find evidence in footage developed for such testing, and (5) evaluating the relevance of possible selection tests to screen effective from ineffective screener

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

As smartphones become more pervasive, they are increasingly targeted by malware. At the same time, each new generation of smartphone features increasingly powerful onboard sensor suites. A new strain of sensor malware has been developing that leverages these sensors to steal information from the physical environment (e.g., researchers have recently demonstrated how malware can listen for spoken credit card numbers through the microphone, or feel keystroke vibrations using the accelerometer). Yet the possibilities of what malware can see through a camera have been understudied. This paper introduces a novel visual malware called PlaceRaider, which allows remote attackers to engage in remote reconnaissance and what we call virtual theft. Through completely opportunistic use of the camera on the phone and other sensors, PlaceRaider constructs rich, three dimensional models of indoor environments. Remote burglars can thus download the physical space, study the environment carefully, and steal virtual objects from the environment (such as financial documents, information on computer monitors, and personally identifiable information). Through two human subject studies we demonstrate the effectiveness of using mobile devices as powerful surveillance and virtual theft platforms, and we suggest several possible defenses against visual malware

Influencing interaction: Development of the design with intent method

Persuasive Technology has the potential to influence user behavior for social benefit, e.g. to reduce environmental impact, but designers are lacking guidance choosing among design techniques for influencing interaction. The Design with Intent Method, a ‘suggestion tool’ addressing this problem, is introduced in this paper, and applied to the briefs of reducing unnecessary household lighting use, and improving the efficiency of printing, primarily to evaluate the method’s usability and guide the direction of its development. The trial demonstrates that the DwI Method is quick to apply and leads to a range of relevant design concepts. With development, the DwI Method could be a useful tool for designers working on influencing user behavior

Effectiveness and Feasibility of In-office versus Smartphone Text-delivered Nutrition Education in the College Setting: A Mixed-methods Pilot Study

Often, being away from home for the first time, coupled with limited knowledge regarding healthy eating behaviors, leads to poor food choices and an increased risk of obesity among college-aged young adults. These college students are prone to high-calorie diets and limited physical activity, putting them at risk for obesity, a physiologically, psychologically, and financially costly epidemic in the United States. College students use their cellular phones over eight and a half hours a day and cell phones are their primary means of information consumption outside of the classroom, suggesting that the phones would be a useful tool to provide nutrition education to this at-risk population. This mixed-methods randomized-controlled trial took place over eight weeks, between 9/15/15 and 12/2/15. The primary aims of this study were to assess the effectiveness and feasibility between an educational nutrition intervention delivered via smartphone texts and a traditional in-office setting for 18-22-year-old, overweight college students at the Sonoma State University Student Health Center. Using simple randomization, participants were assigned to one of two groups: text, or in-office. Participants in the in-office group received one-on-one nutrition counseling framed within the social cognitive theory by a registered nurse at the study onset, week two, and week four. Participants in the text group received the same information, broken up into weekly text messages with links to websites, YouTube, and explanations of content. Participant characteristics, including weight, height, and health behaviors (hours of sleep a night, number of fruits and vegetables per day), were assessed at the study onset (T1) and again at week two (T2), week four (T3), and week eight (T4). All participants were invited to take part in an in-depth, qualitative, face-to-face interview at the end of the study (T4). Nine participants completed both the trial and interviews. Two-thirds (66.7%, n=6) were in the text group, 66.7% (n=6) were female, 33.3% (n=3) were minorities, 66.7% lived on- campus, and 44.4% (n=4) took part in the university’s on-campus meal plan. No statistically significant differences were noted in participant characteristics, or health behaviors between the two groups throughout the study. Although no statistical significance was noted between the two groups with regard to weight change, the text group’s mean weight decreased from 188.25(sd=25.03) pounds to 184.58(sd=24.67) pounds while the in-office group’s mean weight increased from 254.00(sd=90.15) to 257.00(sd=94.14) pounds. Weight loss in the text group should be further evaluated as it may hold clinical significance for effectiveness of the intervention. Through qualitative interviews exploring participants’ experiences, four major themes emerged. All participants in the text group (n=6) stated that they felt there was a need for their method of education, they felt their method was effective, they would recommend their method, and their health behaviors changed positively. For the in-office group, all participants (n=3) said there was a need for their method of education, 67% (n=2) said it was effective, all would recommend it, and 67% stated that they changed their behaviors. Both the quantitative and qualitative findings of this study hold clinical significance as to the effectiveness and feasibility of text messages as a means of providing nutrition education in the college setting. Future research with larger sample sizes and a longer-term study are recommended for more statistical power and to determine the long-term benefits of these methods of nutrition education

Effects of spatial ability on multi-robot control tasks

Working with large teams of robots is a very complex and demanding task for any operator and individual differences in spatial ability could significantly affect that performance. In the present study, we examine data from two earlier experiments to investigate the effects of ability for perspective-taking on performance at an urban search and rescue (USAR) task using a realistic simulation and alternate displays. We evaluated the participants' spatial ability using a standard measure of spatial orientation and examined the divergence of performance in accuracy and speed in locating victims, and perceived workload. Our findings show operators with higher spatial ability experienced less workload and marked victims more precisely. An interaction was found for the experimental image queue display for which participants with low spatial ability improved significantly in their accuracy in marking victims over the traditional streaming video display. Copyright 2011 by Human Factors and Ergonomics Society, Inc. All rights reserved

Teams organization and performance analysis in autonomous human-robot teams

This paper proposes a theory of human control of robot teams based on considering how people coordinate across different task allocations. Our current work focuses on domains such as foraging in which robots perform largely independent tasks. The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an Urban Search and Rescue (USAR) task. We identify three subtasks: perceptual search-visual search for victims, assistance-teleoperation to assist robot, and navigation-path planning and coordination. For the studies reported here, navigation was selected for automation because it involves weak dependencies among robots making it more complex and because it was shown in an earlier experiment to be the most difficult. This paper reports an extended analysis of the two conditions from a larger four condition study. In these two "shared pool" conditions Twenty four simulated robots were controlled by teams of 2 participants. Sixty paid participants (30 teams) were recruited to perform the shared pool tasks in which participants shared control of the 24 UGVs and viewed the same screens. Groups in the manual control condition issued waypoints to navigate their robots. In the autonomy condition robots generated their own waypoints using distributed path planning. We identify three self-organizing team strategies in the shared pool condition: joint control operators share full authority over robots, mixed control in which one operator takes primary control while the other acts as an assistant, and split control in which operators divide the robots with each controlling a sub-team. Automating path planning improved system performance. Effects of team organization favored operator teams who shared authority for the pool of robots. © 2010 ACM