scholarly journals Do aligned bodies align minds? The partners’ body alignment as a constraint on spatial perspective use.

2018 ◽  
Author(s):  
Alexia Galati ◽  
Angelina Symeonidou ◽  
Marios N Avraamides

In a direction-giving task, we examine whether a high-level constraint–the task partners’ relative body alignment–influences spatial language use and task accuracy. In 32 pairs, task partners interacted in two conditions: for one route description, direction givers (DGs) and direction followers (DFs) sat side-by-side (aligned condition), and for another they sat opposite one another (counter-aligned condition). After each description, DFs drew the route on a map. When pairs were counter-aligned (vs. aligned), DGs increased their use of expressions from a survey perspective, using more frequently terms such as east-west. When counter-aligned, DFs also used more words per conversational turn, which was taken to reflect the increased difficulty of coordinating in that condition. Still, in terms of task performance, the accuracy of DFs’ drawings was unaffected by the partners’ body alignment or spatial language use; it was only predicted by the DGs’ spatial ability. We argue that, because direction-giving emphasizes accuracy, task partners invest in strategies that contribute to mutual understanding (e.g., recaps of the route by the DF at the end, evidenced by shifts in language use over time). Thus, body alignment in direction-giving impacts coordination difficulty and spatial language use, but it does not singularly influence task performance.

2021 ◽  
Vol 8 ◽  
Author(s):  
Giulia Perugia ◽  
Maike Paetzel-Prüsmann ◽  
Madelene Alanenpää ◽  
Ginevra Castellano

Over the past years, extensive research has been dedicated to developing robust platforms and data-driven dialog models to support long-term human-robot interactions. However, little is known about how people's perception of robots and engagement with them develop over time and how these can be accurately assessed through implicit and continuous measurement techniques. In this paper, we explore this by involving participants in three interaction sessions with multiple days of zero exposure in between. Each session consists of a joint task with a robot as well as two short social chats with it before and after the task. We measure participants' gaze patterns with a wearable eye-tracker and gauge their perception of the robot and engagement with it and the joint task using questionnaires. Results disclose that aversion of gaze in a social chat is an indicator of a robot's uncanniness and that the more people gaze at the robot in a joint task, the worse they perform. In contrast with most HRI literature, our results show that gaze toward an object of shared attention, rather than gaze toward a robotic partner, is the most meaningful predictor of engagement in a joint task. Furthermore, the analyses of gaze patterns in repeated interactions disclose that people's mutual gaze in a social chat develops congruently with their perceptions of the robot over time. These are key findings for the HRI community as they entail that gaze behavior can be used as an implicit measure of people's perception of robots in a social chat and of their engagement and task performance in a joint task.


AI Magazine ◽  
2011 ◽  
Vol 32 (4) ◽  
pp. 17-30 ◽  
Author(s):  
Bilge Mutlu

Of all computational systems, robots are unique in their ability to afford embodied interaction using the wider range of human communicative cues. Research on human communication provides strong evidence that embodied cues, when used effectively, elicit social, cognitive, and task outcomes such as improved learning, rapport, motivation, persuasion, and collaborative task performance. While this connection between embodied cues and key outcomes provides a unique opportunity for design, taking advantage of it requires a deeper understanding of how robots might use these cues effectively and the limitations in the extent to which they might achieve such outcomes through embodied interaction. This article aims to underline this opportunity by providing an overview of key embodied cues and outcomes in human communication and describing a research program that explores how robots might generate high-level social, cognitive, and task outcomes such as learning, rapport, and persuasion using embodied cues such as verbal, vocal, and nonverbal cues.


2014 ◽  
Vol 27 ◽  
pp. 14-26 ◽  
Author(s):  
David R. Thomson ◽  
Paul Seli ◽  
Derek Besner ◽  
Daniel Smilek

Automation is becoming increasingly pervasive across various technological domains. As this trend continues, work must be done to understand how humans interact with these automated systems. However, individual differences can influence performance during these interactions, particularly as automation becomes more complex, potentially leaving operators out-of-the-loop. Much of the current research investigates the role of working memory and performance across low and high levels of unreliable automation. There is little work investigating the connection between other high-level cognitive processes such as attentional control and performance. Foroughi et al. (2019) found a positive correlation between attentional control and task performance. However, they only included a low-level form of automation. The purpose of this study was to investigate the relationship between attentional control and performance using increasing degrees of unreliable automation. Our results demonstrated a positive correlation between attentional control and performance using high-level unreliable automation.


2013 ◽  
Vol 36 (6) ◽  
pp. 661-679 ◽  
Author(s):  
Robert Kurzban ◽  
Angela Duckworth ◽  
Joseph W. Kable ◽  
Justus Myers

AbstractWhy does performing certain tasks cause the aversive experience of mental effort and concomitant deterioration in task performance? One explanation posits a physical resource that is depleted over time. We propose an alternative explanation that centers on mental representations of the costs and benefits associated with task performance. Specifically, certain computational mechanisms, especially those associated with executive function, can be deployed for only a limited number of simultaneous tasks at any given moment. Consequently, the deployment of these computational mechanisms carries an opportunity cost – that is, the next-best use to which these systems might be put. We argue that the phenomenology of effort can be understood as the felt output of these cost/benefit computations. In turn, the subjective experience of effort motivates reduced deployment of these computational mechanisms in the service of the present task. These opportunity cost representations, then, together with other cost/benefit calculations, determine effort expended and, everything else equal, result in performance reductions. In making our case for this position, we review alternative explanations for both the phenomenology of effort associated with these tasks and for performance reductions over time. Likewise, we review the broad range of relevant empirical results from across sub-disciplines, especially psychology and neuroscience. We hope that our proposal will help to build links among the diverse fields that have been addressing similar questions from different perspectives, and we emphasize ways in which alternative models might be empirically distinguished.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0243754
Author(s):  
Mega B. Herlambang ◽  
Fokie Cnossen ◽  
Niels A. Taatgen

There have been many studies attempting to disentangle the relation between motivation and mental fatigue. Mental fatigue occurs after performing a demanding task for a prolonged time, and many studies have suggested that motivation can counteract the negative effects of mental fatigue on task performance. To complicate matters, most mental fatigue studies looked exclusively at the effects of extrinsic motivation but not intrinsic motivation. Individuals are said to be extrinsically motivated when they perform a task to attain rewards and avoid punishments, while they are said to be intrinsically motivated when they do for the pleasure of doing the activity. To assess whether intrinsic motivation has similar effects as extrinsic motivation, we conducted an experiment using subjective, performance, and physiological measures (heart rate variability and pupillometry). In this experiment, 28 participants solved Sudoku puzzles on a computer for three hours, with a cat video playing in the corner of the screen. The experiment consisted of 14 blocks with two alternating conditions: low intrinsic motivation and high intrinsic motivation. The main results showed that irrespective of condition, participants reported becoming fatigued over time. They performed better, invested more mental effort physiologically, and were less distracted in high-level than in low-level motivation blocks. The results suggest that similarly to extrinsic motivation, time-on-task effects are modulated by the level of intrinsic motivation: With high intrinsic motivation, people can maintain their performance over time as they seem willing to invest more effort as time progresses than in low intrinsic motivation.


1987 ◽  
Author(s):  
Richard W. Foltin ◽  
Richard M. Capriotti ◽  
Margaret A. McEntee ◽  
Marian W. Fischman
Keyword(s):  

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