When Learning Turns To Surveillance – Using Pedagogical Agents in Organizations

Workplace learning is often used to train employees systematically. New in this context is workplace learning with the help of a pedagogical agent (PA). Following Actions Design Research (ADR), this paper describes organizational training for telephone service using such PA. To develop the training, existing employee telephone service problems were analyzed, and the content of the learning program was determined based on this analysis. Subsequently, a PA was developed, implemented, and used in three municipalities. The evaluation of the learning outcome shows promising results but also yields some challenges: even though the employees improved in various aspects of the learning, they also developed a perception of surveillance. This research concludes with the formulation of design principles and suggestions for the organizational embedding of a PA in a workplace setting

When Learning Turns To Surveillance – Using Pedagogical Agents in Organizations

Workplace learning is often used to train employees systematically. New in this context is workplace learning with the help of a pedagogical agent (PA). Following Actions Design Research (ADR), this paper describes organizational training for telephone service using such PA. To develop the training, existing employee telephone service problems were analyzed, and the content of the learning program was determined based on this analysis. Subsequently, a PA was developed, implemented, and used in three municipalities. The evaluation of the learning outcome shows promising results but also yields some challenges: even though the employees improved in various aspects of the learning, they also developed a perception of surveillance. This research concludes with the formulation of design principles and suggestions for the organizational embedding of a PA in a workplace setting

Review of Research on Human Trust in Artificial Intelligence

Artificial Intelligence (AI) represents today\u27s most advanced technologies that aim to imitate human intelligence. Whether AI can successfully be integrated into society depends on whether it can gain users’ trust. We conduct a comprehensive review of recent research on human trust in AI and uncover the significant role of AI’s transparency, reliability, performance, and anthropomorphism in developing trust. We also review how trust is diversely built and calibrated, and how human and environmental factors affect human trust in AI. Based on the review, the most promising future research directions are proposed

FixMyPose: Pose Correctional Captioning and Retrieval

Interest in physical therapy and individual exercises such as yoga/dance has increased alongside the well-being trend. However, such exercises are hard to follow without expert guidance (which is impossible to scale for personalized feedback to every trainee remotely). Thus, automated pose correction systems are required more than ever, and we introduce a new captioning dataset named FixMyPose to address this need. We collect descriptions of correcting a "current" pose to look like a "target" pose (in both English and Hindi). The collected descriptions have interesting linguistic properties such as egocentric relations to environment objects, analogous references, etc., requiring an understanding of spatial relations and commonsense knowledge about postures. Further, to avoid ML biases, we maintain a balance across characters with diverse demographics, who perform a variety of movements in several interior environments (e.g., homes, offices). From our dataset, we introduce the pose-correctional-captioning task and its reverse target-pose-retrieval task. During the correctional-captioning task, models must generate descriptions of how to move from the current to target pose image, whereas in the retrieval task, models should select the correct target pose given the initial pose and correctional description. We present strong cross-attention baseline models (uni/multimodal, RL, multilingual) and also show that our baselines are competitive with other models when evaluated on other image-difference datasets. We also propose new task-specific metrics (object-match, body-part-match, direction-match) and conduct human evaluation for more reliable evaluation, and we demonstrate a large human-model performance gap suggesting room for promising future work. To verify the sim-to-real transfer of our FixMyPose dataset, we collect a set of real images and show promising performance on these images.Comment: AAAI 2021 (18 pages, 16 figures; webpage: https://fixmypose-unc.github.io/

Contributions to chatbots and digital analytics in industry

Diese kumulative Dissertation umfasst zehn wissenschaftliche Artikel, die zur Forschung digitaler Analytik, Messung von Technologieakzeptanz und Chatbots beitragen. Ziel der Artikel ist es, die Entwicklung, Implementierung und Verwaltung von Technologien zu vereinfachen und zu unterstützen. Modelle werden entwickelt, welche die wichtigsten Schritte beschreiben und unter anderem relevante damit zusammenhängende Fragen auflisten, die zu beteiligenden Interessengruppen benennen und geeignete Tools vorstellen, welche berücksichtigt werden sollten. Es werden Chatbot Taxonomien entwickelt und vorgestellt, welche die Bandbreite der derzeit bestehenden Gestaltungsmöglichkeiten aufzeigen, während identifizierte Archetypen zu beobachtende Kombinationen aufzeigen. Die Identifizierung der häufigsten Gründe für Misserfolge und die Entwicklung kritischer Erfolgsfaktoren tragen ebenfalls zu dem Ziel bei, den Entwicklungs- und Managementprozess zu erleichtern. Da die Endnutzer über die Akzeptanz und Nutzung und damit über den Erfolg einer Technologie entscheiden, werden Ansätze genutzt, wie die Nutzerakzeptanz von Technologien gemessen werden kann und wie Nutzer frühzeitig in den Entwicklungsprozess eingebunden werden können

Immersive Participation:Futuring, Training Simulation and Dance and Virtual Reality

Dance knowledge can inform the development of scenario design in immersive digital simulation environments by strengthening a participant’s capacity to learn through the body. This study engages with processes of participatory practice that question how the transmission and transfer of dance knowledge/embodied knowledge in immersive digital environments is activated and applied in new contexts. These questions are relevant in both arts and industry and have the potential to add value and knowledge through crossdisciplinary collaboration and exchange. This thesis consists of three different research projects all focused on observation, participation, and interviews with experts on embodiment in digital simulation. The projects were chosen to provide a range of perspectives across dance, industry and futures studies. Theories of embodied cognition, in particular the notions of the extended body, distributed cognition, enactment and mindfulness, offer critical lenses through which to explore the relationship of embodied integration and participation within immersive digital environments. These areas of inquiry lead to the consideration of how language from the field of computer science can assist in describing somatic experience in digital worlds through a discussion of the emerging concepts of mindfulness, wayfinding, guided movement and digital kinship. These terms serve as an example of how the mutability of language became part of the process as terms applied in disparate disciplines were understood within varying contexts. The analytic tools focus on applying a posthuman view, speculation through a futures ethnography, and a cognitive ethnographical approach to my research project. These approaches allowed me to examine an ecology of practices in order to identify methods and processes that can facilitate the transmission and transfer of embodied knowledge within a community of practice. The ecological components include dance, healthcare, transport, education and human/computer interaction. These fields drove the data collection from a range of sources including academic papers, texts, specialists’ reports, scientific papers, interviews and conversations with experts and artists.The aim of my research is to contribute both a theoretical and a speculative understanding of processes, as well as tools applicable in the transmission of embodied knowledge in virtual dance and arts environments as well as digital simulation across industry. Processes were understood theoretically through established studies in embodied cognition applied to workbased training, reinterpreted through my own movement study. Futures methodologies paved the way for speculative processes and analysis. Tools to choreograph scenario design in immersive digital environments were identified through the recognition of cross purpose language such as mindfulness, wayfinding, guided movement and digital kinship. Put together, the major contribution of this research is a greater understanding of the value of dance knowledge applied to simulation developed through theoretical and transformational processes and creative tools