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Dive into the research topics where Sonja Ötting is active.

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Featured researches published by Sonja Ötting.


Frontiers in Psychology | 2016

Need for Affiliation as a Motivational Add-On for Leadership Behaviors and Managerial Success

Barbara Steinmann; Sonja Ötting; Günter W. Maier

In a sample of 70 leader-follower dyads, this study examines the separate and interactive effects of the leaders’ implicit needs for power, achievement, and affiliation on leadership behaviors and outcomes. Results show that whereas the need for achievement was marginally associated with follower-rated passive leadership, the need for affiliation was significantly related to ratings of the leaders’ concern for the needs of their followers. Analyzing motive combinations in terms of interactive effects and accounting for the growing evidence on the value of affiliative concerns in leadership, we assumed the need for affiliation would channel the interplay among the needs for power and achievement in such a way that the leaders would become more effective in leading others. As expected, based on high need for achievement, the followers were more satisfied with their jobs and with their leaders and perceived more transformational leadership behavior if power-motivated leaders equally had a high need for affiliation. Moreover, the leaders indicated higher career success when this was the case. However, in indicators of followers’ performance, the three-way interaction among the needs for power, achievement, and affiliation did not account for additional variance.


Frontiers in Robotics and AI | 2017

A User Study on Personalized Stiffness Control and Task Specificity in Physical Human–Robot Interaction

Sugeeth Gopinathan; Sonja Ötting; Jochen J. Steil

An ideal physical human–robot interaction (pHRI) should offer the users robotic systems that are easy to handle, intuitive to use, ergonomic and adaptive to human habits and preferences. But the variance in the user behavior is often high and rather unpredictable, which hinders the development of such systems. This article introduces a Personalized Adaptive Stiffness controller for pHRI that is calibrated for the user’s force profile and validates its performance in an extensive user study with 49 participants on two different tasks. The user study compares the new scheme to conventional fixed stiffness or gravitation compensation controllers on the 7DOF KUKA LWR IVb by employing two typical jointmanipulation tasks. The results clearly point out the importance of considering task specific parameters and human specific parameters while designing control modes for pHRI. The analysis shows that for simpler tasks a standard fixed controller may perform sufficiently well and that respective task dependency strongly prevails over individual differences. In the more complex task, quantitative and qualitative results reveal differences between the respective control modes, where the Personalized Adaptive Stiffness controller excels in terms of both performance gain and user preference. Further analysis shows that human and task parameters can be combined and quantified by considering the manipulability of a simplified human arm model. The analysis of user’s interaction force profiles confirms this finding.


Cyber-physical systems: Foundations, principles, and applications | 2017

An Emerging Decision Authority: Adaptive Cyber-Physical System Design for Fair Human-Machine Interaction and Decision Processes

Torben Töniges; Sonja Ötting; Britta Wrede; Günter W. Maier; Gerhard Sagerer

Abstract While cyber-physical systems (CPSs) are able to take into account a lot of information about the physical environment, the respective user of the system is still seen as a black box. As suggested in this chapter, a model of the user will be crucial to ensure optimized system efficiency and user satisfaction in future adaptive and automated work environments. Modeling the user will be highly valuable and will need to be integrated in both the decisional processes of the workflow, and the design of the system itself. We present possible user modeling methods and adaptation strategies. In recognition of the strong effects of these automatic decision and adaptation processes on the user, we describe how justice criteria can be adapted for CPSs and discuss implications for system development: for the specific user as well as for society.While cyber-physical systems (CPSs) are able to take into account a lot of information about the physical environment, the respective user of the system is still seen as a black box. As suggested in this chapter, a model of the user will be crucial to ensure optimized system efficiency and user satisfaction in future adaptive and automated work environments. Modeling the user will be highly valuable and will need to be integrated in both the decisional processes of the workflow, and the design of the system itself. We present possible user modeling methods and adaptation strategies. In recognition of the strong effects of these automatic decision and adaptation processes on the user, we describe how justice criteria can be adapted for CPSs and discuss implications for system development: for the specific user as well as for society.


robot and human interactive communication | 2017

A user study on personalized adaptive stiffness control modes for human-robot interaction

Sugeeth Gopinathan; Sonja Ötting; Jochen J. Steil

This paper introduces a Personalized Adaptive Stiffness controller for physical Human-Robot Interaction and validates its performance in an extensive user study with 49 participants. The controller is calibrated to the users force profile to account for inter-user variance and individual differences. The user study compares the new scheme to conventional fixed stiffness or gravitation compensation controllers on the 7-DOF KUKA LWR IVb by employing two typical joint-manipulation tasks. Somewhat surprisingly, the experiments suggest that for simpler tasks a standard fixed controller may perform sufficiently well and that respective task dependency strongly prevails over individual differences. In the more complex task, quantitative and qualitative results clearly show differences between the different control modes and a both a performance gains and a user preference for the Personalized Adaptive Stiffness controller.


Zukunft der Arbeit. Eine praxisnahe Betrachtung | 2018

Gerechtigkeit in flexiblen Arbeits- und Managementprozessen

Gregor Engels; Günter W. Maier; Sonja Ötting; Eckhard Steffen; Alexander Teetz

Cyber-Physical Systems werden vermehrt in allen Bereichen der Industrie, Wirtschaft und Gesellschaft eingesetzt, um Produktions- und Dienstleistungsprozesse zu unterstutzen. Sie zeichnen sich dadurch aus, dass intelligente, softwaregestutzte Komponenten und menschliche Akteure eng vernetzt sind, um komplexe Aufgaben zu erfullen. In diesen sozio-technischen Systemen werden Arbeits- und Managementprozesse ausgefuhrt, die sich flexibel an veranderte Situationsfaktoren anpassen und bei denen Aufgaben und insbesondere auch Entscheidungen sowohl automatisiert als auch von menschlichen Akteuren durchgefuhrt werden. Um eine hohe Nutzerakzeptanz dieser Systeme zu erzielen, muss bei der Modellierung und Umsetzung dieser Prozessunterstutzung auf spezifische Eigenschaften von Beschaftigten geachtet werden. Hierzu gehort insbesondere der Aspekt der Wahrnehmung von Gerechtigkeit in der automatisierten Realisierung von Entscheidungen im Prozessablauf.


Computers in Human Behavior | 2018

The importance of procedural justice in Human–Machine Interactions: Intelligent systems as new decision agents in organizations

Sonja Ötting; Günter W. Maier

Abstract In the present study, the effects of procedural justice (fair or unfair) and the type of decision agent (human, robot, or computer) on employee behavior and attitudes (e.g., job satisfaction, organizational citizenship behavior, or counterproductive work behaviors) were examined. It was predicted that the type of decision agent (or the source of justice) would moderate the relationship between procedural justice and employee behavior and attitudes, with the relationship being strongest when the decision agent is a human team leader, medium when the decision agent is a humanoid robot, and weakest when the agent is a computer system. This research question was investigated with a between-subjects design in two experiments (N1 = 149 and N2 = 145) that displayed two different decision situations in organizations (allocation of new tasks and allocation of further vocational trainings). Results of both studies showed significant effects of procedural justice on employee behavior and attitudes, confirming the importance of procedural justice at the workplace for both human and system decision agents. Furthermore, both studies failed to verify any interaction effects of procedural justice and the decision agent. This further emphasizes the importance of procedural justice in decision situations because there is no difference in reactions to procedural justice of human or system decisions. Limitations and implications for future research and the integration of justice and human–machine interaction research are discussed.


Competition Law Compliance Programmes - An Interdisciplinary Approach | 2016

Psychological Contributions to Competition Law Compliance

Agnieszka Paruzel; Barbara Steinmann; Annika Nübold; Sonja Ötting; Günter W. Maier

Price fixing and corruption cause immense economic damage. Measures of competition law compliance present a possibility to prevent price fixing and cartelisation. Taking a psychological perspective may help to understand which individual, group, and organisational factors may foster compliance. We explore factors driving compliance and propose the psychological onion model of competition law compliance. The model contains individual, group, and organisational factors determining competition law compliance. These factors are influenced by environmental factors. Within each layer of the onion model, we focus on particularly relevant examples by discussing implicit motives and core self-evaluations (individual), justice (group), and corporate social responsibility (organisation) in detail. Practical recommendations for the establishment of compliance structures in organisations are given, accompanied by theoretical considerations and future research directions.


Handbuch Gestaltung digitaler und vernetzter Arbeitswelten | 2018

Psychologische Arbeitsgestaltung digitaler Arbeitswelten

Lisa Mlekus; Sonja Ötting; Günter W. Maier


conference on computer supported cooperative work | 2017

Why Criteria of Decision Fairness Should be Considered in Robot Design

Sonja Ötting; Sugeeth Gopinathan; Günter W. Maier; Jochen J. Steil


supervision | 2016

Arbeit 4.0: Faire Gestaltung der digitalen Arbeitswelt

Sonja Ötting; Günter W. Maier

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Jochen J. Steil

Braunschweig University of Technology

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Sugeeth Gopinathan

Braunschweig University of Technology

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