@article{17225, abstract = {{How is communicative gesture behavior in robots perceived by humans? Although gesture is crucial in social interaction, this research question is still largely unexplored in the field of social robotics. Thus, the main objective of the present work is to investigate how gestural machine behaviors can be used to design more natural communication in social robots. The chosen approach is twofold. Firstly, the technical challenges encountered when implementing a speech-gesture generation model on a robotic platform are tackled. We present a framework that enables the humanoid robot to flexibly produce synthetic speech and co-verbal hand and arm gestures at run-time, while not being limited to a predefined repertoire of motor actions. Secondly, the achieved flexibility in robot gesture is exploited in controlled experiments. To gain a deeper understanding of how communicative robot gesture might impact and shape human perception and evaluation of human-robot interaction, we conducted a between-subjects experimental study using the humanoid robot in a joint task scenario. We manipulated the non-verbal behaviors of the robot in three experimental conditions, so that it would refer to objects by utilizing either (1) unimodal (i.e., speech only) utterances, (2) congruent multimodal (i.e., semantically matching speech and gesture) or (3) incongruent multimodal (i.e., semantically non-matching speech and gesture) utterances. Our findings reveal that the robot is evaluated more positively when non-verbal behaviors such as hand and arm gestures are displayed along with speech, even if they do not semantically match the spoken utterance.}}, author = {{Salem, Maha and Kopp, Stefan and Wachsmuth, Ipke and Rohlfing, Katharina and Joublin, Frank}}, issn = {{1875-4805}}, journal = {{International Journal of Social Robotics, Special Issue on Expectations, Intentions, and Actions}}, keywords = {{Social Human-Robot Interaction, Multimodal Interaction and Conversational Skills, Robot Companions and Social Robots, Non-verbal Cues and Expressiveness}}, number = {{2}}, pages = {{201--217}}, publisher = {{Springer Science + Business Media}}, title = {{{Generation and evaluation of communicative robot gesture}}}, doi = {{10.1007/s12369-011-0124-9}}, volume = {{4}}, year = {{2012}}, } @article{17428, abstract = {{How is communicative gesture behavior in robots perceived by humans? Although gesture is crucial in social interaction, this research question is still largely unexplored in the field of social robotics. Thus, the main objective of the present work is to investigate how gestural machine behaviors can be used to design more natural communication in social robots. The chosen approach is twofold. Firstly, the technical challenges encountered when implementing a speech-gesture generation model on a robotic platform are tackled. We present a framework that enables the humanoid robot to flexibly produce synthetic speech and co-verbal hand and arm gestures at run-time, while not being limited to a predefined repertoire of motor actions. Secondly, the achieved flexibility in robot gesture is exploited in controlled experiments. To gain a deeper understanding of how communicative robot gesture might impact and shape human perception and evaluation of human-robot interaction, we conducted a between-subjects experimental study using the humanoid robot in a joint task scenario. We manipulated the non-verbal behaviors of the robot in three experimental conditions, so that it would refer to objects by utilizing either (1) unimodal (i.e., speech only) utterances, (2) congruent multimodal (i.e., semantically matching speech and gesture) or (3) incongruent multimodal (i.e., semantically non-matching speech and gesture) utterances. Our findings reveal that the robot is evaluated more positively when non-verbal behaviors such as hand and arm gestures are displayed along with speech, even if they do not semantically match the spoken utterance.}}, author = {{Salem, Maha and Kopp, Stefan and Wachsmuth, Ipke and Rohlfing, Katharina and Joublin, Frank}}, issn = {{1875-4805}}, journal = {{International Journal of Social Robotics, Special Issue on Expectations, Intentions, and Actions}}, keywords = {{Social Human-Robot Interaction, Multimodal Interaction and Conversational Skills, Robot Companions and Social Robots, Non-verbal Cues and Expressiveness}}, number = {{2}}, pages = {{201--217}}, publisher = {{Springer Science + Business Media}}, title = {{{Generation and evaluation of communicative robot gesture}}}, doi = {{10.1007/s12369-011-0124-9}}, volume = {{4}}, year = {{2012}}, } @article{17216, author = {{Lohan, Katrin Solveig and Rohlfing, Katharina and Pitsch, Karola and Saunders, Joe and Lehmann, Hagen and Nehaniv, Chrystopher L. and Fischer, Kerstin and Wrede, Britta}}, issn = {{1875-4805}}, journal = {{International Journal of Social Robotics}}, keywords = {{Social Robots, Contingency}}, number = {{2}}, pages = {{131--146}}, publisher = {{Springer Science + Business Media}}, title = {{{Tutor spotter: Proposing a feature set and evaluating it in a robotic system}}}, doi = {{10.1007/s12369-011-0125-8}}, volume = {{4}}, year = {{2012}}, } @inproceedings{1120, abstract = {{SCM is a simple, modular and flexible system for web monitoring and customer interaction management. In our view, its main advantages are the following: It is completely web based. It combines all technologies, data, software agents and human agents involved in the monitoring and customer interaction process. It can be used for messages written in any natural language. Although the prototype of SCM is designed for classifying and processing messages about mobile-phone related problems in social networks, SCM can easily be adapted to other text types such as discussion board posts, blogs or emails. Unlike comparable systems, SCM uses linguistic technologies to classify messages and recognize paraphrases of product names. For two reasons, product name paraphrasing plays a major role in SCM: First, product names typically have many, sometimes hundreds or thousands of intralingual paraphrases. Secondly, product names have interlingual paraphrases: The same products are often called or spelt differently in different countries and/or languages. By mapping product name variants to an international canonical form, SCM allows for answering questions like Which statements are made about this mobile phone in which languages/in which social networks/in which countries/...? The SCM product name paraphrasing engine is designed in such a way that standard variants are assigned automatically, regular variants are assigned semiautomatically and idiosyncratic variants can be added manually. With this and similar features we try to realize our philosophy of simplicity, modularity and flexibility: Whatever can be done automatically is done automatically. But manual intervention is always possible and easy and it does not conflict in any way with the automatic functions of SCM.}}, author = {{Schuster, Jörg and Lee, Yeong Su and Kobothanassi, Despina and Bargel, Matthias and Geierhos, Michaela}}, booktitle = {{International Conference on Information Society (i-Society 2011)}}, isbn = {{978-1-61284-148-9}}, keywords = {{Social Media Business Integration, Contact Center Application Support, Monitoring Social Conversations, Social Customer Interaction Management, Monitoring, Software Agents}}, location = {{London, UK}}, pages = {{153--158}}, publisher = {{IEEE}}, title = {{{SCM - A Simple, Modular and Flexible Customer Interaction Management System}}}, year = {{2011}}, } @inproceedings{1122, abstract = {{Within this paper, we will describe a new approach to customer interaction management by integrating social networking channels into existing business processes. Until now, contact center agents still read these messages and forward them to the persons in charge of customer’s in the company. But with the introduction of Web 2.0 and social networking clients are more likely to communicate with the companies via Facebook and Twitter instead of filling data in contact forms or sending e-mail requests. In order to maintain an active communication with international clients via social media, the multilingual consumer contacts have to be categorized and then automatically assigned to the corresponding business processes (e.g. technicalservice, shipping, marketing, and accounting). This allows the company to follow general trends in customer opinions on the Internet, but also record two-sided communication for customer relationship management.}}, author = {{Geierhos, Michaela and Lee, Yeong Su and Bargel, Matthias}}, booktitle = {{Multilingual Resources, Multilingual Applications: Proceedings of the Conference of the German Society for Computational Linguistics and Language Technology (GSCL) 2011}}, editor = {{Hedeland, Hanna and Schmidt, Thomas and Wörner, Kai}}, issn = {{0176-599X}}, keywords = {{Classification of Multilingual Customer Contacts, Contact Center Application Support, Social Media Business Integration}}, location = {{Hamburg, Germany}}, pages = {{219--222}}, publisher = {{University of Hamburg}}, title = {{{Processing Multilingual Customer Contacts via Social Media}}}, volume = {{96}}, year = {{2011}}, } @article{1125, abstract = {{Since customers first share their problems with a social networking community before directly addressing a company, social networking sites such as Facebook, Twitter, MySpace or Foursquare will be the interface between customer and company. For this reason, it is assumed that social networks will evolve into a common communication channel – not only between individuals but also between customers and companies. However, social networking has not yet been integrated into customer interaction management (CIM) tools. In general, a CIM application is used by the agents in a contact centre while communicating with the customers. Such systems handle communication across multiple different channels, such as e-mail, telephone, Instant Messaging, letter etc. What we do now is to integrate social networking into CIM applications by adding another communication channel. This allows the company to follow general trends in customer opinions on the Internet, but also record two-sided communication for customer service management and the company’s response will be delivered through the customer’s preferred social networking site.}}, author = {{Geierhos, Michaela}}, issn = {{17982340}}, journal = {{Journal of Advances in Information Technology}}, keywords = {{Social Media Business Integration, Multichannel Customer Interaction Management, Contact Centre Application Support}}, number = {{4}}, pages = {{222--233}}, publisher = {{Engineering and Technology Publishing (ETPub)}}, title = {{{Customer Interaction 2.0: Adopting Social Media as Customer Service Channel}}}, doi = {{10.4304/jait.2.4.222-233}}, volume = {{2}}, year = {{2011}}, } @article{17233, abstract = {{It has been proposed that the design of robots might benefit from interactions that are similar to caregiver–child interactions, which is tailored to children’s respective capacities to a high degree. However, so far little is known about how people adapt their tutoring behaviour to robots and whether robots can evoke input that is similar to child-directed interaction. The paper presents detailed analyses of speakers’ linguistic and non-linguistic behaviour, such as action demonstration, in two comparable situations: In one experiment, parents described and explained to their nonverbal infants the use of certain everyday objects; in the other experiment, participants tutored a simulated robot on the same objects. The results, which show considerable differences between the two situations on almost all measures, are discussed in the light of the computer-as-social-actor paradigm and the register hypothesis.}}, author = {{Fischer, Kerstin and Foth, Kilian and Rohlfing, Katharina and Wrede, Britta}}, issn = {{1572-0381}}, journal = {{Interaction Studies}}, keywords = {{human–robot interaction (HRI), social communication, register theory, motionese, robotese, child-directed speech (CDS), motherese, mindless transfer, computers-as-social-actors}}, number = {{1}}, pages = {{134--161}}, publisher = {{John Benjamins Publishing Company}}, title = {{{Mindful tutors: Linguistic choice and action demonstration in speech to infants and a simulated robot}}}, doi = {{10.1075/is.12.1.06fis}}, volume = {{12}}, year = {{2011}}, } @article{17246, author = {{Nomikou, Iris and Rohlfing, Katharina}}, issn = {{1943-0612}}, journal = {{IEEE Transactions on Autonomous Mental Development}}, keywords = {{acoustic packaging, mother-child interaction, social learning, multimodal grounding in input, ecology of interactions, synchrony}}, number = {{2}}, pages = {{113--128}}, publisher = {{Institute of Electrical & Electronics Engineers (IEEE)}}, title = {{{Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds}}}, doi = {{10.1109/TAMD.2011.2140113}}, volume = {{3}}, year = {{2011}}, } @inproceedings{17253, author = {{Vollmer, Anna-Lisa and Pitsch, Karola and Lohan, Katrin Solveig and Fritsch, Jannik and Rohlfing, Katharina and Wrede, Britta}}, booktitle = {{Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning}}, keywords = {{tutoring interaction, social interaction, video signal processing, robot systems, paediatrics, neurophysiology, Learning, infant, feedback, biology computing, cognitive capabilities, cognition, children}}, pages = {{76--81}}, title = {{{Developing feedback: How children of different age contribute to a tutoring interaction with adults}}}, year = {{2010}}, } @misc{35007, author = {{Meier, Heiko}}, booktitle = {{Sport und Gesellschaft}}, issn = {{2366-0465}}, keywords = {{Philosophy, Social Sciences (miscellaneous), History}}, number = {{2}}, pages = {{180--187}}, publisher = {{Walter de Gruyter GmbH}}, title = {{{Rezension zu Alfred K. Treml „Warum der Berg ruft. Bergsteigen aus evolutionstheoretischer Sicht“}}}, doi = {{10.1515/sug-2009-0205}}, volume = {{6}}, year = {{2009}}, } @inproceedings{17272, abstract = {{In developmental research, tutoring behavior has been identified as scaffolding infants' learning processes. It has been defined in terms of child-directed speech (Motherese), child-directed motion (Motionese), and contingency. In the field of developmental robotics, research often assumes that in human-robot interaction (HRI), robots are treated similar to infants, because their immature cognitive capabilities benefit from this behavior. However, according to our knowledge, it has barely been studied whether this is true and how exactly humans alter their behavior towards a robotic interaction partner. In this paper, we present results concerning the acceptance of a robotic agent in a social learning scenario obtained via comparison to adults and 8-11 months old infants in equal conditions. These results constitute an important empirical basis for making use of tutoring behavior in social robotics. In our study, we performed a detailed multimodal analysis of HRI in a tutoring situation using the example of a robot simulation equipped with a bottom-up saliency-based attention model. Our results reveal significant differences in hand movement velocity, motion pauses, range of motion, and eye gaze suggesting that for example adults decrease their hand movement velocity in an Adult-Child Interaction (ACI), opposed to an Adult-Adult Interaction (AAI) and this decrease is even higher in the Adult-Robot Interaction (ARI). We also found important differences between ACI and ARI in how the behavior is modified over time as the interaction unfolds. These findings indicate the necessity of integrating top-down feedback structures into a bottom-up system for robots to be fully accepted as interaction partners.}}, author = {{Vollmer, Anna-Lisa and Lohan, Katrin Solveig and Fischer, Kerstin and Nagai, Yukie and Pitsch, Karola and Fritsch, Jannik and Rohlfing, Katharina and Wrede, Britta}}, booktitle = {{Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning}}, keywords = {{robot simulation, hand movement velocity, robotic interaction partner, robotic agent, robot-directed interaction, multimodal analysis, Motionese, Motherese, intelligent tutoring systems, immature cognitive capability, human computer interaction, eye gaze, child-directed speech, child-directed motion, bottom-up system, bottom-up saliency-based attention model, adult-robot interaction, adult-child interaction, adult-adult interaction, human-robot interaction, action learning, social learning scenario, social robotics, software agents, top-down feedback structures, tutoring behavior}}, pages = {{1--6}}, publisher = {{IEEE}}, title = {{{People modify their tutoring behavior in robot-directed interaction for action learning}}}, doi = {{10.1109/DEVLRN.2009.5175516}}, year = {{2009}}, } @article{35908, abstract = {{In the broadest sense social capital reflects the idea of resources rooting in relations between individuals resp. in the embeddings of people in groups, associations, communities and even societies. A central assumption is that social capital - as a resource - is emerging from the quality of these relationships. This quality may be described in a more materialistic sense because these relations open up access to specific resources or assets. But it may also be imbued with valuated connotations, in particular referring to the essential contribution of networks and trust in promoting well-being, a sense of belonging and decency as individuals in entities blessed with social capital are pretended to engage in mutually beneficial collective actions. Therefore social capital applies to peoples’ shared expectations, norms, values, and beliefs, their commitments to each other and eventually their associative capacities to knit the ‘social fabric’. }}, author = {{Landhäußer, Sandra and Ziegler, Holger}}, journal = {{Social Work & Society}}, keywords = {{Social Capital}}, publisher = {{Social Work and Society International Online Journal}}, title = {{{Social Capital}}}, doi = {{https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/187}}, volume = {{4}}, year = {{2006}}, } @article{35910, abstract = {{The feature of this paper is a critical assessment of the current discourses about quality of life (QoL) and their implications for Social Work. At first it pictures some major historical backgrounds of the discussion on the improvement of life quality as an aim of societal development. In particular three crucial shifts in the politics of QoL - its 'individualisation', its 'informalisation' and its 'culturalisation' - and their implications for Social Work are critically examined theoretically and empirically referring to the results of an own community-study. The paper concludes with an alternative suggestion reflecting the idea of an 'autonomy-based' approach of democratic equality. }}, author = {{Landhäußer, Sandra and Ziegler, Holger}}, journal = {{Social Work & Society}}, keywords = {{Critical, quality, Social}}, number = {{1}}, pages = {{30--58}}, publisher = {{Social Work and Society International Online Journal}}, title = {{{Social Work and the Quality of Life Politics - A Critical Assessment }}}, doi = {{https://ejournals.bib.uni-wuppertal.de/index.php/sws/article/view/206}}, volume = {{3}}, year = {{2005}}, }