scholarly journals Capturing Workplace Gossip as Dynamic Conversational Events: First Insights From Care Team Meetings

2021 ◽  
Vol 12 ◽  
Author(s):  
Vanessa Begemann ◽  
Svea Lübstorf ◽  
Annika Luisa Meinecke ◽  
Frank Steinicke ◽  
Nale Lehmann-Willenbrock
Keyword(s):  
Organizational Behavior ◽  
Sequential Analysis ◽  
Elderly Care ◽  
Real Life ◽  
Behavioral Observation ◽  
Care Team ◽  
Social Functions ◽  
Team Meetings ◽  
Research Collaborations ◽  
Team Interactions

Even though gossip is a ubiquitous organizational behavior that fulfils important social functions (e.g., social bonding or emotion venting), little is known about how workplace gossip and its functions unfold in situ. To explore the dynamic nature and social embeddedness of workplace gossip, we develop a behavioral annotation system that captures the manifold characteristics of verbal gossip behavior, including its valence and underlying functions. We apply this system to eight elderly care team meetings audio- and videotaped in the field, yielding a sample of N = 4,804 annotated behaviors. On this empirical basis, we provide first insights into the different facets and functions of workplace gossip in real-life team interactions. By means of lag sequential analysis, we quantify gossip patterns that point to the temporal and structural embeddedness of different types of workplace gossip expressions. Though exploratory, these findings help establish workplace gossip as a dynamic conversational event. We discuss future interdisciplinary research collaborations that behavioral observation approaches offer.

scholarly journals Análisis observacional de la organización acerca de la persistencia en el trabajo académico en el aula, aplicando análisis de datos complementarios

2017 ◽  
Vol 33 (3) ◽  
pp. 497 ◽  
Author(s):  
Carlos Santoyo Velasco ◽  
Gudberg Jonsson ◽  
María Teresa Anguera ◽  
José Antonio López-López
Keyword(s):  
Social Interaction ◽  
Sequential Analysis ◽  
School Setting ◽  
Real Life ◽  
Behavioral Observation ◽  
Observation System ◽  
Actual Distribution ◽  
Task Behavior ◽  
Polar Coordinate ◽  
On Task Behavior

<p>The aim of this study was to analyze the organization of on-task behavior in the classroom. Four observational methodology techniques—T-pattern detection, lag sequential analysis, trend analysis, and polar coordinate analysis—were used to study the organization of on-task and off-task behavioral patterns during class time in a primary school setting. The specific objective was to detect and explore relationships between on-task behavior and different social interaction categories in relation to the actual distribution of activities in a real-life classroom setting. The study was conducted using the behavioral observation system for social interaction SOC-IS and the software programs Theme (version 6, Edu), SDIS-GSEQ (version 4.1.2), HOISAN (version 1.6), and STATGRAPHICS (version 6). We describe the results obtained for the four techniques and discuss the methodological implications of combining complementary techniques in a single study.</p>

scholarly journals Robots for Elderly Care in the Home: A Landscape Analysis and Co-Design Toolkit

2021 ◽  
Author(s):  
Gianluca Bardaro ◽  
Alessio Antonini ◽  
Enrico Motta
Keyword(s):  
Large Scale ◽  
Daily Life ◽  
Elderly Care ◽  
Real Life ◽  
Robotic Platform ◽  
Holistic View ◽  
Personal Assistants ◽  
Healthcare Interventions ◽  
The Impact ◽  
The Eu

AbstractOver the last two decades, several deployments of robots for in-house assistance of older adults have been trialled. However, these solutions are mostly prototypes and remain unused in real-life scenarios. In this work, we review the historical and current landscape of the field, to try and understand why robots have yet to succeed as personal assistants in daily life. Our analysis focuses on two complementary aspects: the capabilities of the physical platform and the logic of the deployment. The former analysis shows regularities in hardware configurations and functionalities, leading to the definition of a set of six application-level capabilities (exploration, identification, remote control, communication, manipulation, and digital situatedness). The latter focuses on the impact of robots on the daily life of users and categorises the deployment of robots for healthcare interventions using three types of services: support, mitigation, and response. Our investigation reveals that the value of healthcare interventions is limited by a stagnation of functionalities and a disconnection between the robotic platform and the design of the intervention. To address this issue, we propose a novel co-design toolkit, which uses an ecological framework for robot interventions in the healthcare domain. Our approach connects robot capabilities with known geriatric factors, to create a holistic view encompassing both the physical platform and the logic of the deployment. As a case study-based validation, we discuss the use of the toolkit in the pre-design of the robotic platform for an pilot intervention, part of the EU large-scale pilot of the EU H2020 GATEKEEPER project.

scholarly journals An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care

2020 ◽  
Vol 13 (1) ◽  
pp. 6
Author(s):  
Rui Hu ◽  
Bruno Michel ◽  
Dario Russo ◽  
Niccolò Mora ◽  
Guido Matrella ◽  
...  
Keyword(s):  
Health Status ◽  
Healthcare Service ◽  
Behavioral Science ◽  
Elderly Care ◽  
Elderly Person ◽  
Real Life ◽  
Healthcare Services ◽  
Living Condition ◽  
Care Providers ◽  
Remote Healthcare

Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through an environmental sensor package, including binary motion, contact, pressure, and proximity sensors, installed at households of elderly people. Its aim is to keep the caregivers informed of subjects’ health-status progressive trajectory, and alert them of health-related anomalies to enable objective on-demand healthcare service delivery at scale. The system was deployed in 19 households inhabited by an elderly person with post-stroke condition in the Emilia–Romagna region in Italy, with maximal and median observation durations of 98 and 55 weeks. Among these households, 17 were multi-occupancy residences, while the other 2 housed elderly patients living alone. Subjects’ daily behavioral diaries were extracted and registered from raw sensor signals, using rule-based data pre-processing and unsupervised algorithms. Personal behavioral habits were identified and compared to typical patterns reported in behavioral science, as a quality-of-life indicator. We consider the activity patterns extracted across all users as a dictionary, and represent each patient’s behavior as a ‘Bag of Words’, based on which patients can be categorized into sub-groups for precision cohort treatment. Longitudinal trends of the behavioral progressive trajectory and sudden abnormalities of a patient were detected and reported to care providers. Due to the sparse sensor setting and the multi-occupancy living condition, the sleep profile was used as the main indicator in our system. Experimental results demonstrate the ability to report on subjects’ daily activity pattern in terms of sleep, outing, visiting, and health-status trajectories, as well as predicting/detecting 75% hospitalization sessions up to 11 days in advance. 65% of the alerts were confirmed to be semantically meaningful by the users. Furthermore, reduced social interaction (outing and visiting), and lower sleep quality could be observed during the COVID-19 lockdown period across the cohort.

scholarly journals Studying robots outside the lab: HRI as ethnography

2019 ◽  
Vol 10 (1) ◽  
pp. 117-127 ◽  
Author(s):  
Lasse Blond
Keyword(s):  
Elderly Care ◽  
Real Life ◽  
Implementation Process ◽  
Field Studies ◽  
Ethnographic Study ◽  
South Korean ◽  
Ethnographic Studies ◽  
Assistive Robot ◽  
Socially Assistive Robot

Abstract As more and more robots enter our social world, there is a strong need for further field studies of humanrobot interaction. Based on a two-year ethnographic study of the implementation of a South Korean socially assistive robot in Danish elderly care, this paper argues that empirical and ethnographic studies will enhance the understanding of the adaptation of robots in real-life settings. Furthermore, the paper emphasizes how users and the context of use matters to this adaptation, as it is shown that roboticists are unable to control how their designs are implemented and how the sociality of social robots is inscribed by its users in practice. This paper can be seen as a contribution to long-term studies of HRI. It presents the challenges of robot adaptation in practice and discusses the limitations of the present conceptual understanding of human-robot relations. The ethnographic data presented herein encourage a move away from static and linear descriptions of the implementation process toward more contextual and relational accounts of HRI.

Quality insurance in head and neck cancer multidisciplinary team meetings: A watchful eye on real-life experience

Oral Oncology ◽  
2019 ◽  
Vol 91 ◽  
pp. 35-38 ◽  
Author(s):  
Jean-Baptiste Guy ◽  
Marouan Benna ◽  
Yaoxiong Xia ◽  
Elisabteh Daguenet ◽  
Majed Ben Mrad ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Multidisciplinary Team ◽  
Life Experience ◽  
Real Life ◽  
Team Meetings ◽  
Quality Insurance ◽  
Multidisciplinary Team Meetings

Prioritizing Local Sport Activities: Determining Organizational Commitment to an Innovative Swimming Program

2016 ◽  
Vol 5 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Brennan K. Berg ◽  
Michael Hutchinson ◽  
Carol C. Irwin
Keyword(s):  
Decision Making ◽  
Organizational Behavior ◽  
Sport Management ◽  
Real Life ◽  
The United States ◽  
Health Concern ◽  
Public And Private ◽  
Parks And Recreation ◽  
Sport Activities

This case study illustrates the complexity of decision making in public organizations, specifically highlighting the public health concern of drowning disparities in the United States. Using escalation of commitment theory, students must consider various factors in evaluating the overextended commitments of a local government in a complicated sociopolitical environment and with vital public needs that must be addressed through a local parks and recreation department. Facing a reduction in allocated resources, the department director, Claire Meeks, is tasked with determining which programs will receive higher priority despite the varied feedback from the management staff. To ensure students are provided a realistic scenario, this case offers a combination of fictional and real-life events from Splash Mid-South, an innovative swimming program in Memphis, Tennessee. Students must critically evaluate not only the merits of the swimming program, but the other sport, recreation, and parks programs that also merit an equitable share of the limited resources. Therefore, students are placed in a decision-making role that is common to managers of both public and private organizations. This case study is appropriate for both undergraduate and graduate sport management courses, with specific application to strategic management, organizational behavior, and recreation or leisure topics.

scholarly journals Suitability of a Programme for Improving Interprofessional Primary Care Team Meetings

2018 ◽  
Vol 18 (4) ◽  
pp. 12 ◽  
Author(s):  
Jerôme Jean Jacques Van Dongen ◽  
Marloes Amantia Van Bokhoven ◽  
Wilhelmus Nicolaas Marie Goossens ◽  
Ramon Daniëls ◽  
Trudy Van der Weijden ◽  
...  
Keyword(s):  
Primary Care ◽  
Care Team ◽  
Primary Care Team ◽  
Team Meetings

scholarly journals Multiple-Membership Survival Analysis and Its Applications in Organizational Behavior and Management Research

2019 ◽  
pp. 109442811987745
Author(s):  
Hans Tierens ◽  
Nicky Dries ◽  
Mike Smet ◽  
Luc Sels
Keyword(s):  
Organizational Behavior ◽  
Large Scale ◽  
Model Building ◽  
Real Life ◽  
Hierarchical Structures ◽  
Survival Model ◽  
Survival Models ◽  
Data Set ◽  
Potential Applications ◽  
Multiple Membership

Multilevel paradigms have permeated organizational research in recent years, greatly advancing our understanding of organizational behavior and management decisions. Despite the advancements made in multilevel modeling, taking into account complex hierarchical structures in data remains challenging. This is particularly the case for models used for predicting the occurrence and timing of events and decisions—often referred to as survival models. In this study, the authors construct a multilevel survival model that takes into account subjects being nested in multiple environments—known as a multiple-membership structure. Through this article, the authors provide a step-by-step guide to building a multiple-membership survival model, illustrating each step with an application on a real-life, large-scale, archival data set. Easy-to-use R code is provided for each model-building step. The article concludes with an illustration of potential applications of the model to answer alternative research questions in the organizational behavior and management fields.

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