5 research outputs found
A Framework for Situation-based Social Interaction
This paper presents a theoretical framework for
computationally representing social situations in a robot. This
work is based on interdependence theory, a social psychological
theory of interaction and social situation analysis. We use
interdependence theory to garner information about the social
situations involving a human and a robot. We also quantify the
gain in outcome resulting from situation analysis. Experiments
demonstrate the utility of social situation information and of our
situation-based framework as a method for guiding robot
interaction. We conclude that this framework offers a principled,
general approach for studying interactive robotics problems
Investigating the influence of situations and expectations on user behavior : empirical analyses in human-robot interaction
Lohse M. Investigating the influence of situations and expectations on user behavior : empirical analyses in human-robot interaction. Bielefeld (Germany): Bielefeld University; 2010.Social sciences are becoming increasingly important for robotics research as work goes on to enable service robots to interact with inexperienced users. This endeavor can only be successful if the robots learn to interpret the users' behavior reliably and, in turn, provide feedback for the users, which enables them to understand the robot.
In order to achieve this goal, the thesis introduces an approach to describe the interaction situation as a dynamic construct with different levels of specificity. The situation concept is the starting point for a model which aims to explain the users' behavior. The second important component of the model is the expectations of the users with respect to the robot. Both the situation and the expectations are shown to be the main determinants of the users' behaviors.
With this theoretical background in mind, the thesis examines interactions from a home tour scenario in which a human teaches a robot about rooms and objects within them. To analyze the human expectations and behaviors in this situation, two main novel methods have been developed. In particular, a quantitative method for the analysis of the users' behavior repertoires (speech, gesture, eye gaze, body orientation, etc.) is introduced. The approach focuses on the interaction level, which describes the interplay between the robot and the user. In the second novel method, also the system level is taken into account, which includes the robot components and their interplay. This method serves for a detailed task analysis and helps to identify problems that occur in the interaction.
By applying these methods, the thesis contributes to the identification of underlying expectations that allow future behavior of the users to be predicted in particular situations. Knowledge about the users' behavior repertoires serves as a cue for the robot about the state of the interaction and the task the users aim to accomplish. Therefore, it enables robot developers to adapt the interaction models of the components to the situation, actual user expectations, and behaviors. The work provides a deeper understanding of the role of expectations in human-robot interaction and contributes to the interaction and system design of interactive robots
Acceptance and Applicability of Educational Robots. Evaluating Factors Contributing to a Successful Introduction of Social Robots into Education
Reich-Stiebert N. Acceptance and Applicability of Educational Robots. Evaluating Factors Contributing to a Successful Introduction of Social Robots into Education. Bielefeld: Universität Bielefeld; 2019.The use of robots in the area of education is rapidly gaining momentum. Education faces
restructuring and modernization in the forthcoming age of robots, thus necessitating research
meeting the requirements of this development. In this, focusing on robots’ acceptance and
applicability in educational contexts, right from the very beginning, is crucial. Therefore, this
dissertation thesis has addressed this issue. It has striven to evaluate factors which contribute
to a successful introduction of robots into education in a systematic manner. The strengths of
the current work lie in its interdisciplinary nature, theoretical fundament, and the application of
empirical and experimental methods.
In practical terms, a set of studies have offered insights on how the implementation and
application of robots in education could be facilitated. To do so, they operated on three different
levels: First, the focus was on end users’ attitudes toward educational robots. It was shown that
their attitudes and willingness to use educational robots were moderate. However, the results
also indicated that the acceptance of educational robots could be fostered by the promotion of
people’s general technical interest and a targeted use of robots in individual or small-group
learning activities, in domains related to science and technology. In addition, it was found that
user involvement in an educational robot’s design process can increase people’s general
acceptance of educational robots. Second, the work focused on how to effectively design a
human-robot interaction (HRI) for learning purposes by building upon the cooperative learning
paradigm found in educational literature. Actual HRI experiments confirmed that a robot’s
physical presence was beneficial for the learning experience, and implied that positive
interdependence with a robot, social support from it, and mutual feedback about the learning
process were positively related to the learning experience and the learners’ perception of the
robot. Third, when tackling the issue of the ideal educational robot design, it has become clear
that people’s perception of robots is influenced by context- and person-specific factors.
To trigger a higher acceptance of educational robots, robotics research should match potential end
users’ educational robot design concepts, for example, machinelike appearance and
functionality as well as privacy and safety requirements.
Taken together, this dissertation presents a sound basis for identifying issues related to the
implementation and application of educational robots. However, research is still far from
having completed the development of strategies for implementing and using social robots in
education meaningfully. Consequently, potential future research directions will be discussed in
light of the obtained results
Untersuchung des Einflusses sozio-emotionaler Faktoren auf die soziale Akzeptanz und Nutzungsintention bei Lotsenrobotern
In the course of emerging service robotics research, this dissertation
consists of three empirical studies to investigate how an extrovert robot
personality, a tactile ability to interact and a humanoid robot appearance
of robots with a hostess function impact on their social acceptance and
intention to use. A field experiment has been conducted with 194 test
persons. The experiment compared two versions of a shopping robot (standard version vs. extrovert version). Thereby, the standard version of the shopping robot has been adopted based on a developed extrovert concept.
Next, based on a laboratory experiment with 48 students, two versions of
the robot Nao have been compared with regards to their tactile ability to
interact (Nao with tactile interaction vs. Nao without tactile
interaction). Tactile interaction means the reaction of the robot to human
contact. Finally, an online experiment with 131 students has been conducted by means of an online questionnaire. The students evaluated two shopping robots with different appearances (less humanoid vs. more humanoid shopping robot) with the help of two interactive videos. The results show that an extrovert robot personality, ability for tactile interaction and a more humanoid appearance of robots with a hostess function have a positive influence on their social acceptance and intention to use.Im Zuge der voranschreitenden Servicerobotik-Forschung, untersucht die
vorliegende Dissertation in drei empirischen Teilstudien, inwiefern eine
extravertierte Roboterpersönlichkeit, eine taktile Interaktionsfähigkeit
und ein menschenähnliches Roboteraussehen bei Lotsenrobotern, einen
Einfluss auf deren soziale Akzeptanz und Nutzungsintention haben. Im Rahmen eines Feldexperiments mit n=194 Versuchspersonen wurden zwei
Roboter-Versionen eines Shoppingroboters (Standardversion vs.
extravertierte Version) miteinander verglichen. Dabei wurde die
Standardversion des Shoppingroboters anhand eines eigens entwickelten
Extraversions-Konzepts verändert. Auf Basis eines Laborexperimentes mit
n=48 Studierenden wurden zwei Versionen des Roboters Nao hinsichtlich
seiner taktilen Interaktionsfähigkeit (Nao mit taktiler Interaktion vs. Nao
ohne taktiler Interaktion) verglichen. Taktile Interaktion meint dabei, die
Reaktion des Roboters auf die BerĂĽhrung von Menschen. Zuletzt wurde ein
Online-Experiment mit n=131 Studierenden durchgeführt, die im Rahmen eines Online-Fragebogens zwei verschieden aussehende Shoppingroboter (eher wenig menschenähnlicher vs. eher menschenähnlicher Shoppingroboter) mit Hilfe von zwei Videos zur Interaktion bewerteten. Die Ergebnisse zeigen, dass eine extravertierte Roboterpersönlichkeit, eine taktile Interaktionsfähigkeit und ein eher menschenähnliches Erscheinungsbild bei Lotsenrobotern einen positiven Einfluss auf deren soziale Akzeptanz und Nutzungsintention haben
A Framework for Situation-based Social Interaction
Abstract – This paper presents a theoretical framework for computationally representing social situations in a robot. This work is based on interdependence theory, a social psychological theory of interaction and social situation analysis. We use interdependence theory to garner information about the social situations involving a human and a robot. We also quantify the gain in outcome resulting from situation analysis. Experiments demonstrate the utility of social situation information and of our situation-based framework as a method for guiding robot interaction. We conclude that this framework offers a principled, general approach for studying interactive robotics problems. Index Terms – Human-Robot Interaction, social situation, interdependence, social development