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After 20 years of testing a framework for affective user responses to artificial agents and robots, we compiled a full formalization of our findings so to make the agent respond affectively to its user. Silicon Coppelia as we dubbed our system works from the features of the observed other, appraises these in various domains (e.g., ethics and affordances), then compares them to goals and concerns of the agent, to finally reach a response that includes intentions to work with the user as well as a level of being engaged with the user. This ultimately results into an action that adds to or changes the situation both agencies are in. Unlike many other systems, Silicon Coppelia can deal with ambiguous emotions of its user and has ambiguous ‘feelings’ of itself, which makes its decisions quite human-like. In the current paper, we advance a fuzzy-sets approach and show the inner workings of our system through an elaborate example. We also present a number of simulation experiments, one of which showed decision behaviors based on biases when agent goals had low priorities. Silicon Coppelia is open to scrutiny and experimentation by way of an open-source implementation in Ptolemy.

In modeling the human affective system and applying lessons learned to human–robot interaction, the challenge is to handle ambiguous emotional states of an agency (whether human or artificial), probabilistic decisions, and freedom of choice in affective and behavioral patterns. Moreover, many cognitive processes seem to run in parallel whereas seriality is the standard in conventional computation. Representation of contextual aspects of behavior and processes and of self-directed neuroplasticity are still wanted and so we attempt a quantum-computational construction of robot affect, which theoretically should be able to account for indefinite and ambiguous states as well as parallelism. Our Quantum Coppélia (Q-Coppélia) is a translation into quantum logics of the fuzzy-based Silicon Coppélia system, which simulates the progression of a robot’s attitude towards its user. We show the entire circuitry of the Q-Coppélia framework, aiming at contemporary descriptions of (neuro)psychological processes. Arguably, our work provides a system for simulating and handling affective interactions among various agencies from an understanding of the relations between quantum algorithms and the fundamental nature of psychology.

In the design of educational robots, it appears to be undecided as to whether robots should show social behaviors and look human-like or whether such cues are insignificant for learning. We conducted an experiment with different designs of social robots built from the same materials, which is unique in robotics research. The robots rehearsed multiplication tables with primary school children in Hong Kong, which is a user group not easily or often accessed. The results show that affective bonding tendencies may occur but did not significantly contribute to the learning progress of these children, which was perhaps due to the short interaction period. Nonetheless, 5 min of robot tutoring improved their scores by about 30%, while performance dropped only for a few challenged children. We discuss topics, such as teaching language skills, which may be fostered by human likeness in appearance and behaviors, however, for Science, Technology, Engineering, and Mathematics (STEM)-related subjects, the social aspects of robots hardly seem to matter.

The increasing pressure on healthcare systems calls for innovative solutions, such as social robots. However, healthcare situations often are highly emotional while little is known about how people’s prior emotional state may affect the perception and acceptance of such robots. Following appraisal theories of emotion, the appraisal of coping potential related to one’s emotions was found to be important in acting as mediator between emotional state and perceptions of a robot (Spekman et al. in Comput Hum Behav 85:308–318, 2018. 10.1016/j.chb.2018.03.043; in Belief in emotional coping ability affects what you see in a robot, not the emotions as such, Dissertation, Vrije Universiteit Amsterdam, Amsterdam, 2018), though this has not yet been tested in relation to actual emotional coping nor in an actual encounter with a robot. Hence, the current study focused on how actual emotional coping influences subsequent robot perceptions in two experiments. In Study 1 (N = 101) and Study 2 (N = 110) participants encountered a real humanoid robot after a manipulation to induce various emotions and coping potential. Manipulations in both studies were effective, yet the results in Study 1 were potentially confounded by a novelty effect of participants’ first encounter with a real robot that talked to them. Therefore, in Study 2, participants interacted briefly with the robot before the actual experiment. Results showed an interaction effect of prior emotions and (manipulated) coping potential on robot perceptions, but not the effects expected based on previous studies. An actual interaction with a robot thus seems to provoke different reactions to the robot, thereby overruling any emotional effects. These findings are discussed in light of the healthcare context in which these social robots might be deployed.

In the design of user-friendly robots, human communication should be understood by the system beyond mere logics and literal meaning. Robot communication-design has long ignored the importance of communication and politeness rules that are 'forgiving' and 'suspending disbelief' and cannot handle the basically metaphorical way humans design their utterances. Through analysis of the psychological causes of illogical and non-literal statements, signal detection, fundamental attribution errors, and anthropomorphism, we developed a fail-safe protocol for fallacies and tropes that makes use of Frege's distinction between reference and sense, Beth's tableau analytics, Grice's maxim of quality, and epistemic considerations to have the robot politely make sense of a user's sometimes unintelligible demands. Keywords: social robots, logical fallacies, metaphors, reference, sense, maxim of quality, tableau reasoning, epistemics of the virtual, Published as Hoorn, J. F., & Tuinhof, D. J. (2022). A robot's sense-making of fallacies and rhetorical tropes. Creating ontologies of what humans try to say. Cognitive Systems Research, 72, 116-130. doi: 10.1016/j.cogsys.2021.10.003

To evaluate our emotionally intelligent software, we put a virtual human capable of speech and facial expressions to an updated and enriched version of the traditional Turing test. In a speed-date with 54 young females, either our software or human confederates controlled the simulation of the virtual human’s affective performance. Results were obtained with frequentist analysis and Bayesian structural equation modeling. Indeed, participants did not detect differences and observed similarity in the emotional behavior of the virtual human and in the way it assumingly perceived them. Additionally, participants did not recognize different but similar cognitive-affective structures between humans and our system. As is, designers may use our software for believable affective virtual humans or robots. Moreover, as far as the richness of interaction possibilities in the speed-dating session allowed, our software seems to reproduce human cognitive-affective structures.

In building on theories of Computer-Mediated Communication (CMC), Human-Robot Interaction, and Media Psychology (i.e. Theory of Affective Bonding), the current paper proposes an explanation of how over time, people experience the mediated or simulated aspects of the interaction with a social robot. In two simultaneously running loops, a more reflective process is balanced with a more affective process. If human interference is detected behind the machine, Robot-Mediated Communication commences, which basically follows CMC assumptions; if human interference remains undetected, Human-Robot Communication comes into play, holding the robot for an autonomous social actor. The more emotionally aroused a robot user is, the more likely they develop an affective relationship with what actually is a machine. The main contribution of this paper is an integration of Computer-Mediated Communication, Human-Robot Communication, and Media Psychology, outlining a full-blown theory of robot communication connected to friendship formation, accounting for communicative features, modes of processing, as well as psychophysiology., Published as Hoorn, J. F. (2020b). Theory of robot communication: II. Befriending a robot over time. International Journal of Humanoid Robotics, 17(6), 2050027. doi: 10.1142/S0219843620500279

To look into the assumed difference between East and West in acceptance and use of robots, we performed a content analysis on 120 papers about social robots in two Asian-English (China Daily and The Japan Times) and two Western-English newspapers (The Guardian and New York Times) written between 2009 and 2018. From these papers, we drew a number of statements ([Formula: see text]). We analyzed tone of voice (TOV) as well as the positive or negative framing of the consequences of the implementation of social robots in society, economy, health, and safety. Intercoder reliability [Formula: see text], according to Krippendorff’s [Formula: see text]-reliability. Western newspapers presented significantly more negative social frames, negative fairness-and-equality frames, and negative safety-and-health frames than did Eastern papers, which presented significantly more positive economic frames than did Western papers. Western newspapers expected more negative social, health, safety, and equality issues than did the East. The West anticipated little economic benefit. The East expected little harm to society, safety, health, and equality but rather foresaw beneficial economic outcomes.

Background: Older adults are a rapidly growing group world-wide, requiring an increasing amount of healthcare. Technological innovations such as care robots may support the growing demand for care. However, hardly any studies address those who will most closely collaborate with care robots: the (trainee) healthcare professional. Methods: This study examined the moral considerations, perceptions of utility, and acceptance among trainee healthcare professionals toward different types of care robots in an experimental questionnaire design (N = 357). We also examined possible differences between participants&rsquo, intermediate and higher educational levels. Results: The results show that potential maleficence of care robots dominated the discussion in both educational groups. Assisting robots were seen as potentially the most maleficent. Both groups deemed companion robots least maleficent and most acceptable, while monitoring robots were perceived as least useful. Results further show that the acceptance of robots in care was more strongly associated with the participants&rsquo, moral considerations than with utility. Conclusions: Professional care education should include moral considerations and utility of robotics as emerging care technology. The healthcare and nursing students of today will collaborate with the robotic colleagues of tomorrow.

To test in how far the Media Equation and Computers Are Social Actors (CASA) validly explain user responses to social robots, we manipulated how a bad health message was framed and the language that was used. In the wake of Experiment 2 of Burgers et al. (Patient Educ Couns 89(2):267–273, 2012. https://doi.org/10.1016/j.pec.2012.08.008 ), a human versus robot doctor delivered health messages framed positively or negatively, using affirmations or negations. In using frequentist (robots are different from humans) and Bayesian (robots are the same) analyses, we found that participants liked the robot doctor and the robot’s message better than the human’s. The robot also compelled more compliance to the medical treatment. For the level of expected quality of life, the human and robot doctor tied. The robot was not seen as affectively distant but rather involving, ethical, skilled, and people wanted to consult her again. Note that doctor robot was not a seriously looking physician but a little girl with the voice of a young woman. We conclude that both Media Equation and CASA need to be altered when it comes to robot communication. We argue that if certain negative qualities are filtered out (e.g., strong emotion expression), credibility will increase, which lowers affective distance to the messenger. Robots sometimes outperform humans on emotional tasks, which may relieve physicians from a most demanding duty of disclosing unfavorable information to a patient.

The urgent pressure on healthcare increases the need for understanding how new technology such as social robots may offer solutions. Many healthcare situations are emotionally charged, which likely affects people's perceptions of such robots in healthcare contexts. Thus far however, little attention has been paid to how people's prior emotions may influence their perceptions of the robot. Based on emotional appraisal theories and prior research, we assume that particularly emotional coping appraisals would influence healthcare-robot perceptions. Additionally, we tested effects of actual coping through the use of emotion-focused and problem-focused coping strategies. Hypotheses were tested in a 2 (sad vs. angry) x 2 (hard-to-cope-with vs. easy-to-cope-with) between-subjects experiment, also including a control group. Results (N = 132; age range 18–36) showed that manipulated coping potential indirectly affected perceptions of a healthcare robot via the appraisal of coping potential. Furthermore, positive emotion-focused coping affected perceptions of a healthcare robot positively. Thus, people's healthcare-robot perceptions were affected by how they cope or how they think they can cope with their emotions, rather than by the emotions as such.

Background: There has been a rapid increase in the population of senior citizens in many countries. The shortage of caregivers is becoming a pressing concern. Robots are being deployed in an attempt to fill this gap and reduce the workload of caregivers. This study explores how healthcare robots are perceived by trainee care professionals. Methods: A total of 2365 students at different vocational levels completed a questionnaire, rating ethical statements regarding beneficence, maleficence, justice, autonomy, utility, and use intentions with regard to three different types of robots (assistive, monitoring, and companion) along with six control variables: gender, age, school year, technical skills, interest in technology, and enjoying working with computers. The scores were analyzed by MANOVA statistics. Results: In relation to our research questions: All students viewed companion robots as more beneficent than monitoring and assistive robots. Level of education did not lead to any differences in appraisal. Participants rated maleficence lowest and the highest scores were given to autonomy and utility, meaning a positive evaluation of the use of healthcare robots. Surprisingly, all students rated use intentions low, indicating a poor motivation to actually use a robot in the future, although participants stated a firmer intention for using monitoring devices. Conclusion: Care students find robots useful and expect clients to benefit from them, but still are hesitant to use robots in their future practice. This study suggests that it would be wise to enrich the curriculum of intermediate care education with practical classes on the use and ethical implications of care robots, to ensure that this group of trainee care professionals fully understand the possibilities and potential downside of this emerging kind of healthcare technology.

We conducted an experiment with Chinese schoolchildren being taught symbolic reasoning and solving equations of the form 2y + 3 = 7, using a Hanson Einstein robot together with video instruction. The children were unfamiliar to solving equations like these (baseline 0) and after robot tutoring, they were tested for learning outcomes, while they rated their appreciation of the robot. We found a crossover interaction effect of boys learning more from video and girls more from the robot. The effect was catalytic in that only the combination of factors worked (no main effects). Results are discussed in view of gender-specific technology application.

Imagine a machine that walks the stairs like Honda rsquo s ASIMO that has the body work of Kokoro rsquo s Geminoid F with the facial expressions of Hanson rsquo s Alice R and that pulls weight like Boston Dynamics rsquo Atlas It knows as much as IBM rsquo s Watson the full version and reasons according to MIT rsquo s ConceptNet a semantic network of everyday knowledge Its battery packs are replaced by a small tank with formic acid HCO H splitting the hydrogen from the CO to use it in a fuel cell that drives the robot rsquo s motors following TU Eindhoven rsquo s proposal for electric cars What if we pooled all those resources teaming up alone on an island Makers Island working in partnership What if we combined it all hellip

The global demand on technological services that make people independent of others is growing. Social robots seem an outstanding candidate to offer services for self-management and companionship because they can deliver abstract information in an understandable way and are treated as trusted partners. Recently, I initiated the Robot Brain Server (RBS) project, which handles the data, data security, and Artificial Intelligence that drives the robots. RBS takes a hybrid-centered design approach in which software developers work with the public at large to produce a new generation of artificial cognitive service systems to support specialists in care, education, hospitality, and other service professions.

Traditional approaches for understanding environmental governance - such as environmental policy analysis or natural resources management - do not adequately address the gamut of human-natural system interactions within the context of the complex biogeophysical cycles and processes of the planet. This is perhaps more so in the African regional context where the complex relationships between modern and traditional governance systems and global change dynamics are arguably more pronounced. The Earth System Governance (ESG) Analytical Framework encompasses diverse systems and actors involved in the regulation of societal activities and behaviors vis-a-vis earth system dynamics. The concept encompasses a myriad of public and private actors and actor networks at all levels of policy and decision-making. The existence of, and interaction among, these diverse actors and systems, however, is under-researched in the African context. Various research approaches taken to address crucial global environmental change (GEC) challenges in Africa have proven to be inadequate because they tend to overlook the complex interactions among the various local actors, players, and indigenous conditions and practices vis-a-vis GEC system drivers and teleconnections. Similarly, the regional peculiarities in terms of governance typologies and sociocultural diversity highlight the need for nuanced understanding of the complex interactions and nexuses among multiple actors and interests and Earth system processes. However, this diversity and complexity has often been lost in generalized enquiries. We argue that examination of the governance-GEC nexus through the aid of the ESG Framework would provide a much broader and more helpful insight. (Less)

Although it seems that software metrics have moved beyond mere performance measurement, it is not too clear how machine effectiveness, efficiency, and effort pertain to human requirements on such matters. In industry as well as academia, the ISO 9241-11 norm provides the dominant view on usability, stating that usability is a function of effectiveness, efficiency, and satisfaction. Although intuitively, usability requirements should be part of a software's design in an early stage, conceptually and empirically, it seems more likely that performance requirements (i.e., the absence of errors) should be the center of concern. This paper offers an elaborated view on usability, satisfaction, and performance. Certain theoretical conceptions are tested with data gathered from professional users of banking and hospital systems by means of a 4-year single-item survey and a structured questionnaire, respectively. Results suggested that performance factors (i.e., efficiency) are more important than usability in understanding why stakeholders are satisfied with a system or not. Moreover, it neither is dissatisfaction with a system nor that a system is less usable that predicate requirements change. Instead, avoiding machine inaccuracy best predicted the variability in agreement to "must have" requirements, while achieving human accuracy predicted the variability in agreement to the "won't have" requirements. The present contribution provides a consistent research framework that can bring more focus to design (i.e., prioritization), clarify discussions about design trade-offs, makes concepts measurable, and eventually may lead to better-informed designs. © 2014 Elsevier B.V. All rights reserved.

In Chechnya a protracted conflict only seemingly quieted down, but it still smolders and as the conflict is suppressed by coercion, it is inevitable that it will flare up at some time in the near future. The root causes of the conflict can be understood by use of globalization theory, which dialectically brings together the clashing forces from above and below. Civil society in Chechnya deteriorated, is politically curtailed, and has no resilience left. It thus results in a frozen conflict and an excluded and victimized society. Russian-style reconstruction does alleviate living conditions, but does not remediate the frozen conflict character of the present situation. The dynamics of the globalizing forces from below and above, summarized in the glocalization concept, not only explains the resistance by the Chechen people, for whom revolt, rebellion, and terrorism remain attractive options, but also serves as a model for other insurgencies. Reflecting on the two recent Chechen–Russian wars results in a pa...

Contains fulltext : 170093.pdf (Publisher’s version ) (Open Access) We analyze the assessments of recent health reforms by the Congressional Budget Office (CBO) in the United States and the Bureau for Economic Policy Analysis (CPB) in the Netherlands. Both reforms aim to capitalize on productivity gains, which is appealing for policymakers because of the potential for cost savings while maintaining - or enhancing - quality and access. These measures however generally translate into more health care, rather than care that is affordable and appropriate. Scoring agencies therefore have rightfully been reluctant to assign significant savings to these measures. Thus with regard to cost savings, both agencies instead have favored more traditional policy measures in the past. They are however increasingly mapping out loose ends and dilemmas for payers, including information asymmetries, reputation issues and provider business models that contradict the goals of policymakers. This calls for further exploring this avenue and the development of more integrated agendas that might commit actors and the spread of best practices.

An ageing population, increasing longevity and below-replacement fertility increase the care burden worldwide. This comes with age-related diseases such as Alzheimer disease and other dementias, cardiovascular disorders, cancer and—hardly noticed—pandemic loneliness. The burden, both emotionally and economically, starts to become astronomical and cannot be carried by those few who need to combine care with work and family. Social solidarity programmes are part of the answer, but they do not relieve the human helper. Yet, many hands are needed where but a few are available. Capacity issues can be solved by the introduction of care robots. Research shows that state-of-the-art technology is such that care robots can become nonthreatening social entities and be accepted and appreciated by the lonesome. Massive employment of such devices is impeded, however, sufficient governmental support of R&D is lacking—financially and regulatorily. This is where policymakers should step in and get over their moral prejudices and those of their voters and stop being afraid of losing political backing. They will regain it in the long run.

A recent Dutch proposal to extend its assisted dying law could increase social pressure on older people and reinforce negative ideas surrounding old age, argue Els van Wijngaarden and colleagues

The article reports the results of a Mokken Scale Procedure (MSP) developing a hierarchical cross-national scale gauging attitudes toward illegal immigration, and a subsequent qualitative cross-national assessment of this scale. Responses to a 20-item Likert-type-scale were collected in two national representative surveys in the Netherlands and New Zealand. The MSP analysis yielded a cumulative scale with the same four items for each with an acceptable 'scalability' in both samples, of H >.40. This cross-national four-item scale was evaluated by means of in-depth interviewing nine participants in the Netherlands and 15 participants in New Zealand. Analysis of the interviews shows that individually ranking the items of the scale is similar to the rank order generated by MSP, but the individual evaluation of the degree of negativity of items strongly depends on the way illegal immigrants are framed by subjects. The contribution of a mixed methods approach is discussed. It is suggested that the present quantitative measuring instruments measure a general average attitude, which may be likened to a measure of the average temperature of a country at a certain moment, while qualitative evaluations vary with the way illegal immigrants are framed by individuals, like variations in local temperature. © 2013 Copyright Taylor and Francis Group, LLC.

Weight stigma is pervasive and has profound negative consequences for obese individuals. The attribution-emotion approach of stigmatization holds that blame attributions relate to derogation stigmatized groups indirectly through anger and pity. Other research suggests that disgust is related to weight stigma. In the present studies, we investigate whether contempt is a reliable predictor of biases against obese individuals. Study 1 (N = 297) shows that contempt partially mediates the relation between blame and both prejudice and support for weight related discrimination policies. Studies 2 and 3 (total N = 406) added disgust and show that both contempt and disgust relate to social distance and prejudice. Contempt mediated the relation between blame and negative reactions toward obese individuals, even after controlling for other emotions, while disgust only mediated these relations in Study 2. Anger and pity did not show this mediating role, but pity was moderately associated with weight bias. Contempt is likely to play an important role in how people react to members of this stigmatized group.

This paper reports on the relationship between attitudes toward illegal immigrants and illegal immigration, and people's private behavioural intention to immigrate illegally into a foreign country. The research was carried out in 2005, in Bulgaria, a country with a net emigration rate, using a sample of 505 undergraduate Bulgarian students (22.5% male; M age = 23.3; SD = 4.8). A pool of 78 items assessed attitudes toward undocumented immigrants and evaluation of illegal migration. These two measures were used to predict potential undocumented immigration. Based on a factor analysis six subscales were identified and labelled: improvement of life, moral evaluation, courage to live, failure experienced in own country, expectations of benefits from illegal migration, and right to immigrate. Results of a multiple regression analysis explained 62 percent of the variance of the behavioural intention to migrate illegally into a foreign country. The analysis yielded the following factors: attitudes to improve life (β = 0.35), the moral evaluation of illegal immigrants (β = -0.26), expectancies of benefits (β = -0.19), the courage of migrants (β = 0.10), and seeing illegal immigration as a right (β = 0.09), These findings support the hypothesis that attitudes may predict potential behaviour, the strongest predictor for undocumented migration being the urge to improve life, and moral evaluation of migrants.

In a standardized personal interview, elderly (65+) Dutch respondents (N = 233), were asked detailed retrospective questions about six physical activities like walking, cycling and their performance of household tasks. Surprisingly, the proportion of inadequate answers was small, suggesting that the interviewers-four professional research nurses-have done their very best to eventually obtain adequate answers. They used three different types of control of the interview process. Firstly, an optimal execution of the prescribed 'open loop control', that is, precisely following the text of the questionnaire. Secondly, via the 'feedback loop control' of repair: if nevertheless inadequate answers are given, further probing is performed until eventually an adequate answer is obtained. Thirdly, by decomposing a general question into its components, making the question easier to answer (partial questioning). Interaction analysis of transcripts of the interviews showed that the type of control exercised by the interviewers, strongly differed by topic of the question. It appeared that question topics requiring more complex cognitive activities of the respondents, not only lead to more (need for) repair, but also to larger differences between the interviewers concerning their readiness to use partial questioning as an alternative for the open loop control as designed by the researcher. © Springer Science+Business Media B.V. 2008.

This research note responds to the question of whether a convenience sample of undergraduate students may be successfully utilized in concept development and in scale construction, and in what way the results are comparable to the findings of a representative national sample. The results of a Mokken analysis in both samples support the hypothesis that convenience samples have utility in concept development and in developing measures that can also be used in representative samples.

We are increasingly communicating with robots, and the design of lifelike humanoid robots will face at least five challenges. 1) Robots should meet social needs – people are getting older, lonelier, and are looking for alternatives to face-to-face contact, for instance, in coaching and therapy. 2) Robot designers assume that the better they can simulate social and affective behavior, the more effective the robotic partner is. Yet, it is not always clear what natural behavior is, nor whether maximal humanlikeness equals optimal user satisfaction. 3) Multidisciplinary design teams require transdisciplinary theory to create mutual understanding and cover the wide-ranging facets of robot design. However, combining diverse theories from different domains means confronting major unification problems. 4) Empirical approaches to robot design usually miss out on logic consistency within theory. Conversely, formalization and mathematical modeling often lack external validity. Verification before validation seems to be the new way to go. 5) Finally, if it is actually possible to create lifelike, affective, sociable androids, the cognitive models underlying their behavior may be open to abuse, for example in malicious software that spies on people.

OBJECTIVE: A high monounsaturated fatty acid (MUFA) and polyunsaturated fatty acid (PUFA) intake is associated with lower plasma low-density lipoprotein (LDL)-cholesterol. However, PUFA may increase the susceptibility of LDL to undergo oxidative modifications. The aim of this study was to analyze the association of habitual dietary fat intake with LDL size and oxidizability. DESIGN: Cross-sectional. SETTING: Cohort study. SUBJECTS: Seven hundred and fifty-eight subjects with normal, impaired glucose metabolism and type II diabetes. INTERVENTIONS: Mean LDL size was measured by high-performance gel-filtration chromatography. In vitro oxidizability of LDL was determined by measuring lag time, reflecting the resistance of LDL to copper-induced oxidation. Information about dietary fat intake was obtained by a validated food frequency questionnaire. RESULTS: PUFA intake (energy percent) was significantly and negatively associated with LDL size in subjects with type II diabetes (standardized beta (95% confidence interval) -0.17 (-0.28;-0.06)) and impaired glucose metabolism - although not statistically significant - (-0.09 (-0.24;0.05)), but not in subjects with normal glucose metabolism (0.01 (-0.10;0.12)) (P-value for interaction=0.02). No significant associations were observed for total, saturated fat and MUFA intake with LDL size. Intake of fat was associated with lag time; however, the small magnitude of the associations suggested that the composition of dietary fat is not a major factor affecting lag time. The same association with lag time was observed in all three glucose metabolism categories. CONCLUSIONS: In individuals with abnormal glucose metabolism, higher PUFA intake is associated with smaller LDL particle size, but does not alter the susceptibility of LDL to in vitro oxidation. SPONSORSHIP: Dutch Diabetes Research Foundation, and the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO).

In healthcare, the number of patients is increasing while available staff declines. Technology such as social robots becomes a likely solution for providing care. Realism plays an important role in how these social robots are perceived. We designed Polygon, a robot with a minimal amount of realism to explore whether it is possible to yield acceptable design opportunities with minimal means. This study evaluated 3 focus groups (N=34, 23 patients diagnosed with acquired brain injury (ABI), 11 healthcare professionals). Results indicate that patients with ABI are struggling with their independence and loneliness. Additionally, social robots designed with a minimal approach to realism could play a role as acceptable solutions for these patients.