Alle Publikationen
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2017
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(2017): Distinguishing technologies for social interaction: The perceived social affordances of communication channels scale. In: Communication Monographs 84 (3), S. 298-318. DOI: 10.1080/03637751.2017.1332418
DOI: https://doi.org/10.1080/03637751.2017.1332418 Abstract: The concept of affordances in communication technology research has proven to be heuristically provocative, yet perceived affordances are rarely measured. After extracting commonly cited social affordances from the literature, we developed a measure to assess participants’ perceptions of these affordances. The scale was tested across eight communication channels in two studies (face-to-face; texting; phone; email; posts on social networking sites, specifically Facebook; instant messaging; Skype videoconferencing; and mobile app Snapchat). A factor structure was developed in Study 1 and confirmed in Study 2. The resultant Perceived Social Affordances of Communication Channels Scale includes 41 items measuring 10 communicative affordances: accessibility, bandwidth, social presence, privacy, network association, personalization, persistence, editability, conversation control, and anonymity. Potential methodological and theoretical applications are discussed.
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(2017): User interface based on natural interaction design for seniors. In: Computers in Human Behavior 75, S. 147-159. DOI: 10.1016/j.chb.2017.05.011
DOI: https://doi.org/10.1016/j.chb.2017.05.011 Abstract: With world population ageing, how to help seniors to adapt to technology life is an important issue. Technology is becoming life rather than resistance, because many of the technology applications are often accompanied by a lot of information to process. This makes the user interface to become an important bridge between human computer interactions. Especially the inconvenience caused by human ageing, these related issues from the cognitive and operational of products are derived. This study proposes a study of user interface design based on natural interaction to increase seniors’ usage intention. In the proposed contents, the Kinect sensor is used to retrieve seniors’ in-depth information in movements, thus the user interface of system can be operated by the gesture intuitively. In the framework of the system, in the first all, the morphology is applied to identify the features of a hand from depth values obtained from the sensor. Gesture is used to recognize operating behavior of users to implement the interactive action, and collision detection is applied to confirm effectiveness of operation. On the other hand, through interpretive structural model (ISM), each design element of interactive interface can be decomposed and realized, and the solution for target and direction of design problem is also proposed. At the meanwhile, the concept of affordance is conducted to the development of interface for graphic users that proposed in this study, and the design achievement contains operation and usability of intuition can further be acquired. Finally, based on the proposed methodology, an intuitive user interface of digital devices is constructed by Java programming language that allows for verifying the feasibility of user interface for seniors. Besides, the proposed method can be widely used to develop the user interface for various products. (PsycINFO Database Record (c) 2017 APA, all rights reserved)
2016
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(2016): Anticipating Human Activities Using Object Affordances for Reactive Robotic Response. In: IEEE transactions on pattern analysis and machine intelligence 38 (1), S. 14-29. DOI: 10.1109/TPAMI.2015.2430335
DOI: http://www.ncbi.nlm.nih.gov/pubmed/26656575 Abstract: An important aspect of human perception is anticipation, which we use extensively in our day-to-day activities when interacting with other humans as well as with our surroundings. Anticipating which activities will a human do next (and how) can enable an assistive robot to plan ahead for reactive responses. Furthermore, anticipation can even improve the detection accuracy of past activities. The challenge, however, is two-fold: We need to capture the rich context for modeling the activities and object affordances, and we need to anticipate the distribution over a large space of future human activities. In this work, we represent each possible future using an anticipatory temporal conditional random field (ATCRF) that models the rich spatial-temporal relations through object affordances. We then consider each ATCRF as a particle and represent the distribution over the potential futures using a set of particles. In extensive evaluation on CAD-120 human activity RGB-D dataset, we first show that anticipation improves the state-of-the-art detection results. We then show that for new subjects (not seen in the training set), we obtain an activity anticipation accuracy (defined as whether one of top three predictions actually happened) of 84.1, 74.4 and 62.2 percent for an anticipation time of 1, 3 and 10 seconds respectively. Finally, we also show a robot using our algorithm for performing a few reactive responses.
Keywords: Affordance, affordances, Affordanz, Algorithms, Aniticipation, Human Activities, Humans, Imaging, Intentionserkennung (Roboter erkennt Menschenintention), J. J. Gibson's theory of affordance, machine learning, MODELS, Movement, PERCEPTION, Psychological, Robotics, Soziosensitive Systeme, Soziosensitivität, Statistical, Three-Dimensional, Video Recording 2015
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(2015): Designing Robot Embodiments for Social Interaction. Affordances Topple Realism and Aesthetics. In: International Journal of Social Robotics 7 (5), S. 697-708. DOI: 10.1007/s12369-015-0301-3
Abstract: In the near future, human-like social robots will become indispensable for providing support in various social tasks, in particular for healthcare (e.g., assistance, coaching). The perception of realism, in particular human-like features, can help facilitate mediated social interaction. The current study investigated the effects of form realism on engagement with and use intentions of social robot embodiments. We have defined (perceived) form realism as the result of the appraisal of features that are perceived as realistic contrasted with those appraised as unrealistic. To test the effects of form realism, we applied the model of interactively perceiving and experiencing fictional characters (I-PEFiC). I-PEFiC explains how users respond to interactive, fictional, humanoid characters, on social robots. In a within-subjects design, participants (N = 29; M-age = 28.8 years, age range 18-56 years) interacted with three different robots built from LEGO Mindstorms, which differed in their degree of designed form realism. Each robot presented itself as a physiotherapy assistant and requested the participant to do several exercises. Results of a structured questionnaire indicated that form realism only played a modest role in the perception of electro-mechanical robots. Instead, the perception of affordances appeared to be crucial for determining engagement and intentions to use social robots.
2001
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(2001) : Embodied Cognitive Science: Concepts, Methods and Implications for Psychology In: Matthies, Michael; Malchow, Horst; Kriz, Jürgen (Hg.): Integrative Systems Approaches to Natural and Social Dynamics: Systems Science 2000: Berlin, Heidelberg: Springer Berlin Heidelberg, S. 551-567. Online verfügbar unter https://doi.org/10.1007/978-3-642-56585-4_35, zuletzt geprüft am 03.08.2019
DOI: https://doi.org/10.1007/978-3-642-56585-4_35 Abstract: Since the “cognitive shift” of psychology, a close association between psychology and the advances in computer technology and artificial intelligence research has evolved. According to the ‘computational’ symbol processing approach, cognition consists of a series of sequentially ordered processing stages. Between perception and action, input is processed by higher cognitive functions, such as categorization, memory, and planning. These cognitive functions are conceived as independent modules lacking a direct interface with the environment. This approach is criticized due to its inherent fundamental problems. Alternative research programs, such as embodied cognitive science, primarily address the issues of embodied cognition, i. e., cognition is viewed as originating from the interaction of body and environment. The methods of the corresponding “new AI” encompass robotics and the use of autonomous agents. It is investigated here which implications for psychology may arise. A theoretical conceptualization of autonomous agents based on dynamical systems theory and synergetics is outlined. Within this context, the cognitive system is conceived as a complex system comprising numerous sensorimotor loops; coherent and adaptive perception-action processes emerge from the influence of affordances. Examples cited from the field of applied psychology indicate that these perspectives lead to the formulation of new research questions and reinterpretation of empirical findings.
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