Alle Publikationen
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2017
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(2017): Effects of reinforcement value on instruction following under schedules of negative reinforcement. In: Behavioural Processes 145, S. 27-30. DOI: 10.1016/j.beproc.2017.10.003
DOI: http://www.ncbi.nlm.nih.gov/pubmed/28993244 Abstract: The effects of reinforcement value and social control on instruction following under a negative-reinforcement (escape) schedule were studied. Initially, responding produced timeouts from pressing a force cell under a low and a high force requirement on a fixed-ratio 1 schedule of reinforcement. Next, participants were reexposed to the low and high force requirements, but were instructed that the experimenter expected them to decrease the number of timeouts relative to the previous exposures to the procedure. Even though following the instruction led to a decrease in number of timeouts and to an increase in effort (i.e., was non-efficient), instruction following occurred consistently for each participant and was modulated by reinforcement value. That is, the decrease in the number of timeouts (i.e., instruction following) was lower under the high force requirement than under the low force requirement. These results replicate and extend previous findings that instructions interact with social and nonsocial contingencies in controlling human behavior.
2015
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(2015): Evaluating the engagement with social robots. In: International Journal of Social Robotics 7 (4), S. 465-478. DOI: 10.1007/s12369-015-0298-7
DOI: https://doi.org/10.1007/s12369-015-0298-7 Abstract: To interact and cooperate with humans in their daily-life activities, robots should exhibit human-like 'intelligence'. This skill will substantially emerge from the interconnection of all the algorithms used to ensure cognitive and interaction capabilities. While new robotics technologies allow us to extend such abilities, their evaluation for social interaction is still challenging. The quality of a human–robot interaction can not be reduced to the evaluation of the employed algorithms: we should integrate the engagement information that naturally arises during interaction in response to the robot’s behaviors. In this paper we want to show a practical approach to evaluate the engagement aroused during interactions between humans and social robots. We will introduce a set of metrics useful in direct, face to face scenarios, based on the behaviors analysis of the human partners. We will show how such metrics are useful to assess how the robot is perceived by humans and how this perception changes according to the behaviors shown by the social robot. We discuss experimental results obtained in two human-interaction studies, with the robots Nao and iCub respectively. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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(2015) : Emotional and social intelligence and behavior In: Goldstein, Sam; Princiotta, Dana; Naglieri, Jack A.; Goldstein, Sam (Ed); Princiotta, Dana (Ed); Naglieri, Jack A. (Ed) (Hg.): Handbook of intelligence: Evolutionary theory, historical perspective, and current concepts: New York, NY, US: Springer Science + Business Media, S. 243-262
Abstract: Of the various levels at which emotional intelligence (EI) and social intelligence (SI) exist within a person, the behavioral level has received the least amount of attention in academic research but holds the most promise for a concept and measurement approach that relates to job and life outcomes, as well as allowing others to 'see' EI and SI in action. In this chapter, we will review the major models or theories which constitute levels of EI and SI and the tests appearing in research publications. The chapter will then focus on the behavioral level and the measurement at this level currently most in use. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
2014
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(2014): An attentional approach to human–robot interactive manipulation. In: International Journal of Social Robotics 6 (4), S. 533-553. DOI: 10.1007/s12369-014-0236-0
DOI: https://doi.org/10.1007/s12369-014-0236-0 Abstract: Human robot collaborative work requires interactive manipulation and object handover. During the execution of such tasks, the robot should monitor manipulation cues to assess the human intentions and quickly determine the appropriate execution strategies. In this paper, we present a control architecture that combines a supervisory attentional system with a human aware manipulation planner to support effective and safe collaborative manipulation. After detailing the approach, we present experimental results describing the system at work with different manipulation tasks (give, receive, pick, and place). (PsycINFO Database Record (c) 2019 APA, all rights reserved)
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(2014): The role of selective attention and action selection in the development of multiple action capabilities. In: Connection Science 26 (4), S. 389-402. DOI: 10.1080/09540091.2014.942597
DOI: https://doi.org/10.1080/09540091.2014.942597 Abstract: In this paper we illustrate how the capacity to select the most appropriate actions when handling contexts affording multiple conflicting actions can be solved either through a selective attention strategy (in which the stimuli affording alternative actions are filtered out at the perceptual level through top-down regulation) or at later processing stages through an action selection strategy (through the suppression of the premotor information eliciting alternative actions). By carrying out a series of experiments in which a neuro-robot develops an ability to choose between conflicting actions, we were able to identify the conditions that lead to the development of solutions based on one strategy or another. Overall, the results indicate that the selective attention strategy constitutes the most simple and straightforward mechanism enabling the acquisition of such capacities. Moreover, the characteristics of the adaptive/learning process influence whether the adaptive robot converges towards a selective attention and/or action selection strategy. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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(2014): Visual mismatch negativity. A predictive coding view. In: Frontiers in human neuroscience 8
Abstract: Reviewed the theoretical underpinnings of visual mismatch negativity (vMMN) in light of methodological considerations and provided recommendations for measuring and interpreting the vMMN. An increasing number of studies have investigated the vMMN or used the vMMN as a tool to probe various aspects of human cognition. The following key issues were discussed from the experimentalist's point of view in a predictive coding framework: (1) experimental protocols and procedures to control refractoriness effects; (2) methods to control attention; and (3) vMMN and veridical perception. zitiert von 93
2012
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(2012): Effects of multisensory environments on stereotyped behaviours assessed as maintained by automatic reinforcement. In: Journal of applied research in intellectual disabilities : JARID 25 (6), S. 509-521. DOI: 10.1111/j.1468-3148.2012.00697.x
DOI: http://www.ncbi.nlm.nih.gov/pubmed/23055285 Abstract: BACKGROUND The aim of the present study was to evaluate the effects of the sensory equipment provided in a multi-sensory environment (MSE) and the level of social contact provided on levels of stereotyped behaviours assessed as being maintained by automatic reinforcement. METHOD Stereotyped and engaged behaviours of two young people with severe intellectual disabilities were observed while the participants were either in a living room or in a MSE and receiving either high or low levels of interaction from carers. RESULTS For both participants, levels of stereotyped behaviour were lower in the MSE irrespective of the level of carer attention received, while levels of engagement were higher under conditions of high carer attention in both environments. CONCLUSIONS The results are consistent with the hypothesis that reductions in stereotyped behaviour observed in MSEs are due to the increased levels of specific sensory stimulation provided by such environments. zitiert von 14
Keywords: Adolescent, Attention, Autistic Disorder/psychology/rehabilitation, Environment, Female, Humans, Intellectual Disability/psychology/rehabilitation, Male, Observer Variation, Psychiatric Status Rating Scales, Reinforcement, Reinforcement (Psychology), Sensation, Sensory Art Therapies/methods, Stereotyped Behavior/physiology, Verhaltensforschung 2011
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(2011): Seeing the unseen: Attention to daily encounters with sexism as way to reduce sexist beliefs. In: Psychology of Women Quarterly (35), S. 227-242. Online verfügbar unter http://onlinelibrary.wiley.com/journal/10.1111/%28ISSN%291471-6402
Abstract: Three experiments were conducted in the United States and Germany to test whether women and men endorse sexist beliefs because they are unaware of the prevalence of different types of sexism in their personal lives. Study 1 (N = 120) and Study 2 (N = 83) used daily diaries as a method to encourage individuals "to see the unseen." Results revealed that encouraging women to pay attention to sexism, in comparison to attention to other social interactions, led to a stronger rejection of Modern Sexist, Neosexist, and Benevolent Sexist beliefs (Studies 1 and 2) and to negative evaluations of Modern and Benevolent Sexist men described in profiles as well as to more engagement in collective action on behalf of women (Study 2). In contrast, for men, paying attention to sexism did not have these effects. Results from Study 2 suggest, and from Study 3 (N = 141) confirm, that men's endorsement of Modern and Neosexist beliefs can be reduced if attention to sexism and emotional empathy for the target of discrimination is encouraged. Finally, a follow-up survey indicated that the attitude change in women and men was stable over time. The implications of these findings for interventions to reduce women's versus men's endorsement of sexist beliefs are discussed. zitiert von 111
2009
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(2009): Social competence and social skills training and intervention for children with Autism Spectrum Disorders. In: JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 39 (9), S. 1268-1277. DOI: 10.1007/s10803-009-0741-4
DOI: http://www.ncbi.nlm.nih.gov/pubmed/19365716 Abstract: This study examined the effectiveness of a 30 week social competence and social skills group intervention program with children, ages 7-11, diagnosed with Autism Spectrum Disorders (ASD). Eighteen children with ASD were assessed with pretreatment and posttreatment measures on the Walker-McConnell Scale (WMS) and the MGH YouthCare Social Competence Development Scale. Each received the 30-week intervention program. For comparison, a matched sample of ten non-ASD children was also assessed, but received no treatment. The findings indicated that each ASD intervention group demonstrated significant gains on the WMS and significant improvement in the areas of anxiety management, joint attention, and flexibility/transitions. Results suggest that this approach can be effective in improving core social deficits in individuals with ASD.
Keywords: Anxiety, Attention, Autistic Disorder, Awareness, Behavior Therapy, Character development, Child, Communication, Diagnosis, Disziplin, Erziehung, Erziehungswissenschaften, Female, Follow-Up Studies, (Freiheit von) Ängsten, Group, Group Processes, Humans, Interpersonal Relations, Kinder, Kognitive Skills, Male, Mensch mit Behinderung, Methods, Negotiating, Personal Construct Theory, Personality Assessment, Postkasten, Problem Solving, PSYCHOLOGY, Psychotherapie, Social Adjustment, Social Behavior, Social Cognition, social competence training, social competences, social learning, Soziale Angemessenheit, Sozialkompetenz, SV, Therapy -
(2009): An adaptive detection/attention mechanism for real time robot operation. In: Neurocomputing 72 (4), S. 850-860. DOI: 10.1016/j.neucom.2008.06.023
DOI: https://doi.org/10.1016/j.neucom.2008.06.023 Abstract: During the lifetime of a mobile robot, the number and complexity of the stimuli it receives may be quite high. Therefore, the construction of a detection system considering the whole sensorial space is usually not a viable proposition when aiming for real time operation. It becomes necessary to build some kind of sensorial hierarchy map to put some order into how detectors are applied. This is what is usually called an attentional system, and it provides a framework for applying detectors in a more efficient manner. In this paper, an architecture for developing attentional functions for robots that must operate in real time in dynamic environments is presented. This architecture is based on the concept of attentor and it allows for the real time adaptation to the environment and tasks to be performed in a natural manner. One of the main requirements imposed on the design of the architecture was the capability of handling different sensorial modalities and attentional streams in a transparent manner while, at the same time, being able to progressively create more complex attentional structures. The architecture is particularized for its implementation in a real robot.
2005
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(2005): Predicting human interruptibility with sensors. In: ACM Transactions on Computer-Human Interaction 12 (1), S. 119-146. DOI: 10.1145/1057237.1057243
DOI: https://doi.org/10.1145/1057237.1057243 Abstract: A person seeking another person’s attention is normally able to quickly assess how interruptible the other person currently is. Such assessments allow behavior that we consider natural, socially appropriate, or simply polite. This is in sharp contrast to current computer and communication systems, which are largely unaware of the social situations surrounding their usage and the impact that their actions have on these situations. If systems could model human interruptibility, they could use this information to negotiate interruptions at appropriate times, thus improving human computer interaction. This article presents a series of studies that quantitatively demonstrate that simple sensors can support the construction of models that estimate human interruptibility as well as people do. These models can be constructed without using complex sensors, such as vision-based techniques, and therefore their use in everyday office environments is both practical and affordable. Although currently based on a demographically limited sample, our results indicate a substantial opportunity for future research to validate these results over larger groups of office workers. Our results also motivate the development of systems that use these models to negotiate interruptions at socially appropriate times. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
2002
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(2002): Collision warning timing, driver distraction, and driver response to imminent rear-end collisions in a high-fidelity driving simulator. In: Human factors 44 (2), S. 314-334. DOI: 10.1518/0018720024497844
DOI: http://www.ncbi.nlm.nih.gov/pubmed/12452276 Abstract: Rear-end collisions account for almost 30% of automotive crashes. Rear-end collision avoidance systems (RECASs) may offer a promising approach to help drivers avoid these crashes. Two experiments performed using a high-fidelity motion-based driving simulator examined driver responses to evaluate the efficacy of a RECAS. The first experiment showed that early warnings helped distracted drivers react more quickly--and thereby avoid more collisions--than did late warnings or no warnings. Compared with the no-warning condition, an early RECAS warning reduced the number of collisions by 80.7%. Assuming collision severity is proportional to kinetic energy, the early warning reduced collision severity by 96.5%. In contrast, the late warning reduced collisions by 50.0% and the corresponding severity by 87.5%. The second experiment showed that RECAS benefits even undistracted drivers. Analysis of the braking process showed that warnings provide a potential safety benefit by reducing the time required for drivers to release the accelerator. Warnings do not, however, speed application of the brake, increase maximum deceleration, or affect mean deceleration. These results provide the basis for a computational model of driver performance that was used to extrapolate the findings and identify the most promising parameter settings. Potential applications of these results include methods for evaluating collision warning systems, algorithm design guidance, and driver performance model input.
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