Putting laypeople in an active role as direct expert contributors in the design of service robots becomes more and more prominent in the research fields of human–robot interaction and social robotics. Currently, though, HRI is caught in a dilemma of how to create meaningful service robots for human social environments, combining expectations shaped by popular media with technology readiness. We recapitulate traditional stakeholder involvement, including two cases in which new intelligent robots were conceptualized and realized for close interaction with humans. (...) Thereby, we show how the robot narrative together with aspects of power balancing stakeholders, such as hardware constraints and missing perspectives beyond primary users, and the adaptivity of robots through machine learning that creates unpredictability, pose specific challenges for participatory design processes in HRI. We conclude with thoughts on a way forward for the HRI community in developing a culture of participation that considers humans when conceptualizing, building, and using robots. (shrink)

We examine the role of need satisfaction in non-comparative justice ratings about endowments with goods. As normative approaches, we discuss utilitarianism, prioritarianism, and sufficientarianism. Using a vignette experiment, we show that a need context increases the prevalence of prioritarianistic and sufficientarianistic justice ratings, which leads to an ethically problematic sigmoid shape of the justice evaluation function.

Individuals often describe objects in their world in terms of perceptual dimensions that span a variety of modalities; the visual (e.g., brightness: dark–bright), the auditory (e.g., loudness: quiet–loud), the gustatory (e.g., taste: sour–sweet), the tactile (e.g., hardness: soft vs. hard) and the kinaesthetic (e.g., speed: slow–fast). We ask whether individuals use perceptual dimensions to differentiate emotions from one another. Participants in two studies (one where respondents reported on abstract emotion concepts and a second where they reported on specific emotion episodes) (...) rated the extent to which features anchoring 29 perceptual dimensions (e.g., temperature, texture and taste) are associated with 8 emotions (anger, fear, sadness, guilt, contentment, gratitude, pride and excitement). Results revealed that in both studies perceptual dimensions differentiate positive from negative emotions and high arousal from low arousal emotions. They also differentiate among emotions that are similar in arousal and valence (e.g., high arousal negative emotions such as anger and fear). Specific features that anchor particular perceptual dimensions (e.g., hot vs. cold) are also differentially associated with emotions. (shrink)

In this paper, we discuss the development of robot use cases in an elderly care facility in the context of exploring the method of Integrative Social Robotics when used on top of a user-centered design approach. Integrative Social Robotics is a new proposal for how to generate responsible, i.e. culturally and ethically sustainable, social robotics applications. Starting point for the discussion are the five principles that characterize an ISR approach, which are discussed in application to the three use cases for (...) robot support in a Danish elderly care facility developed within the smooth project. The discussion by an interdisciplinary design team explores what attention to the five principles of ISR can offer for use case development. We report on the consequences of this short-time exposure to the basic ideas of ISR for use case development and discuss the value of approaching robot development from an ISR perspective. (shrink)

This paper reports on the results of a survey of faculty members at California State University, Northridge in Los Angeles, California regarding their understanding of and familiarity with the concept of fake news. With very few studies published on the attitudes of teaching faculty at universities, this study is a unique approach to the issues facing educators, knowledge creators, and information specialists. The paper examines the origins of the term “fake news”, the factors contributing to its current prevalence, and proposes (...) a new definition. It also reports upon the attitudes that teaching faculty hold, and how they define fake news within their specific disciplines. Though nearly all surveyed faculty felt fake news was an important topic that impacted them professionally, the researchers also find that faculty across all disciplines and ranks, ages, and gender, hold widely differing conceptions of fake news. This lack of consensus may have future implications for students in particular and higher education in general and are worth exploring further. (shrink)

We assume that people have a need to make statements, and construct a model in which this need is the sole determinant of voting behavior. In this model, an individual selects a ballot that makes as close a statement as possible to her ideal point, where abstaining from voting is a possible (null) statement. We show that in such a model, a political system that adopts approval voting may be expected to enjoy a significantly higher rate of participation in elections (...) than a comparable system with plurality rule. (shrink)

We propose a cognitive-dissonance model of norm compliance to identify conditions for selfishly biased information acquisition. The model distinguishes between: (i) objective norm compliers, for whom the right action is a function of the state of the world; (ii) subjective norm compliers, for whom it is a function of their belief. The former seek as much information as possible; the latter acquire only information that lowers, in expected terms, normative demands. The source of ‘moral wiggle room’ is not belief manipulation, (...) but the coarseness of normative prescriptions under conditions of uncertainty. In a novel experimental setup, we find evidence for such strategic information uptake. Our results suggest that attempts to change behavior by subjecting individuals to norms can lead to biased information acquisition instead of compliance. (shrink)

The dorsal anterior cingulate cortex is a key node in the human salience network. It has been ascribed motor, pain-processing and affective functions. However, the dynamics of information flow in this complex region and how it responds to inputs remain unclear and are difficult to study using non-invasive electrophysiology. The area is targeted by neurosurgery to treat neuropathic pain. During deep brain stimulation surgery, we recorded local field potentials from this region in humans during a decision-making task requiring motor output. (...) We investigated the spatial and temporal distribution of information flow within the dACC. We demonstrate the existence of a distributed network within the anterior cingulate cortex where discrete nodes demonstrate directed communication following inputs. We show that this network anticipates and responds to the valence of feedback to actions. We further show that these network dynamics adapt following learning. Our results provide evidence for the integration of learning and the response to feedback in a key cognitive region. (shrink)

Plasmids are a major type of mobile genetic elements (MGEs) that mediate horizontal gene transfer. The stable maintenance of plasmids plays a critical role in the functions and survival for microbial populations. However, predicting and controlling plasmid persistence and abundance in complex microbial communities remain challenging. Computationally, this challenge arises from the combinatorial explosion associated with the conventional modeling framework. Recently, a plasmid‐centric framework (PCF) has been developed to overcome this computational bottleneck. This framework enables the derivation of a simple (...) metric, the persistence potential, to predict plasmid persistence and abundance. Here, we discuss how PCF can be extended to account for plasmid interactions. We also discuss how such model‐guided predictions of plasmid fates can benefit from the development of new experimental tools and data‐driven computational methods. (shrink)

An investigation of the nature of truth, ethics, and deception.

An investigation of the eidetic and transcendental phenomenological reductions as productive (and not merely descriptive) activities, Hence as a praxis generative of meaning. The eidetic reduction is a metaphoric system, Describing the movement from topos to tropes: the primal ontological structure is found to be that of distortion, Of a "coherent deformation," a breaking of forms, Which maintains the phenomenological horizon's openness. This founds a theory of decentered being, Ex-Centric subjectivity, And an anti-Ideologic critique.

Resource added for the Landscape Horticulture Technician program 100014.