How social cues shape task coordination and communication

Sauppé, Allison; Mutlu, Bilge

doi:10.1145/2531602.2531610

Cited by 31 publications

(15 citation statements)

References 48 publications

(37 reference statements)

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“…We note the use of interactional resources and social cues by members in the setting allowed them to purvey their current focus and task. In one such example we included, body co-orientation accountably displayed participants working together (see Fragment 2) [50]. Furthermore, member's orientation towards their mobile device screen whilst visibly typing messages for itself provides a non-verbal, yet observable-and-reportable account of their actions.…”

Section: Embedding Mobile Devices In Conversationmentioning

confidence: 99%

Using Mobile Phones in Pub Talk

Porcheron

Fischer

Sharples

2016

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work &Amp; Social Computing

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We present the findings from a study of how people interleave mobile phone use with conversation in pubs. Our findings, informed by ethnomethodology and conversation analysis, unpack the interactional methods through which groups of people in pubs occasioned, sustained, and disengaged from mobile device use during conversation with friends. Fundamentally, the work that is done consists of various methods of accounting for mobile device use, and displaying involvement in social interaction while the device is used. We highlight multiple examples of the nuanced ways in which interleaving is problematic in interaction, and relate our findings to the CSCW and HCI literature on collocated interaction. We conclude by considering avenues for future research, and discuss how we may support or disrupt interleaving practices through design to overcome the highlighted interactional troubles.

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Section: Embedding Mobile Devices In Conversationmentioning

confidence: 99%

Using Mobile Phones in Pub Talk

Porcheron

Fischer

Sharples

2016

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work &Amp; Social Computing

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“…A conflict of workers talking or acting simultaneously with other workers is a known issue in such work [11,25]. Although gaze information is used to avoid these collisions [26,27], workers have to look at the circumstances of their surroundings, which can distract attention from their own subtasks. In this paper, we propose a method of using vibration to present the order of actions, to reduce mistakes while concentrating on individual subtasks, and to avoid burdening the worker.…”

Section: Real-time Cooperative Work and Serial Cooperativementioning

confidence: 99%

Coordinating Real-Time Serial Cooperative Work by Cuing the Order in the Case of Theatrical Performance Practice

Sasaki

Inoue

2019

Mobile Information Systems

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Our goal is to facilitate real-time serial cooperative work. In real-time serial cooperative work, the order of subtasks is important because a failure of the order leads to a failure of the whole task. So, coordinating the order of workers' subtasks is necessary to smoothly accomplish the tasks. In this paper, we propose a method that uses vibration to present the action order and coordinate the orders. We conducted a user study to verify the effectiveness of the method in theatrical performance practice, which was an example of real-time serial cooperative work. As a result, order coordination reduced mistakes in the order of speech and action and in the contents of lines and action. is result suggests that order coordination can improve real-time serial cooperative work.

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“…The iterations continue until certain stop criteria are met. For example, variables may be removed until the remaining variables all have p < .25 (Sauppé and Mutlu 2014;Terrell and Mutlu 2012). For the case study presented in Sect.…”

Section: Multivariate Evaluationmentioning

confidence: 99%

Multivariate evaluation of interactive robot systems

Huang

Mutlu

2014

Auton Robot

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In designing robot systems for human interaction, designers draw on aspects of human behavior that help them achieve specific design goals. For instance, the designer of an educational robot system may use speech, gaze, and gesture cues in a way that enhances its student's learning. But what set of behaviors improve such outcomes? How might designers of such a robot system determine this set of behaviors? Conventional approaches to answering such questions primarily involve designers carrying out a series of experiments in which they manipulate a small number of design variables and measure the effects of these manipulations on specific interaction outcomes. However, these methods become infeasible when the design space is large and when the designer needs to understand the extent to which each variable contributes to achieving the desired effects. In this paper, we present a novel multivariate method for evaluating what behaviors of interactive robot systems improve interaction outcomes. We illustrate the use of this method in a case study in which we explore how different types of narrative gestures of a storytelling robot improve its users' recall of the robot's story, their ability to retell the robot's story, their perceptions of and rapport with the robot, and their overall engagement in the experiment. Electronic supplementary materialThe online version of this article (

show abstract

How social cues shape task coordination and communication

Cited by 31 publications

References 48 publications

Using Mobile Phones in Pub Talk

Using Mobile Phones in Pub Talk

Coordinating Real-Time Serial Cooperative Work by Cuing the Order in the Case of Theatrical Performance Practice

Multivariate evaluation of interactive robot systems

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