Post-partum hemorrhaging is a medical emergency that occurs during childbirth and, in extreme cases, can be life-threatening. It is the number one cause of maternal mortality worldwide. High-quality training of medical staff can contribute to early diagnosis and work towards preventing escalation towards more serious cases. Healthcare education uses manikin-based simulators to train obstetricians for various childbirth scenarios before training on real patients. However, these medical simulators lack certain key features portraying important symptoms and are incapable of communicating with the trainees. The authors present a digital embodiment agent that can improve the current state of the art by providing a specification of the requirements as well as an extensive design and development approach. This digital embodiment allows educators to respond and role-play as the patient in real time and can easily be integrated with existing training procedures. This research was performed in collaboration with medical experts, making a new contribution to medical training by bringing digital humans and the representation of affective interfaces to the field of healthcare.
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Abstract: Embodied embedded cognition (EEC) has gained support in cognitive science as well as in human–computer interaction (HCI). EEC can be characterized both by its action-centeredness as well as its roots in phenomenology. The phenomenological aspects of EEC could be seen as support for trends in design emphasizing the user experience. Meanwhile, usability issues often are still approached using traditional methods based on cognitivist assumptions. In this paper, I argue for a renewed focus on improving usability from an EEC perspective. I draw mainly on a behavior-oriented interpretation of the theory, the key aspects of which are reviewed. A tentative sketch for an embodied embedded usability is proposed, doing justice to the embodied embedded nature of interaction while retaining the goal of developing technology that is easy to use in everyday practice.
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In de afgelopen jaren hebben technologische ontwikkelingen de aard van dienstverlening ingrijpend veranderd (Huang & Rust, 2018). Technologie wordt steeds vaker ingezet om menselijke servicemedewerkers te vervangen of te ondersteunen (Larivière et al., 2017; Wirtz et al., 2018). Dit stelt dienstverleners in staat om meer klanten te bedienen met minder werknemers, waardoor de operationele efficiëntie toeneemt (Beatson et al., 2007). Deze operationele efficiëntie leidt weer tot lagere kosten en een groter concurrentievermogen. Ook voor klanten kan de inzet van technologie voordelen hebben, zoals betere toegankelijkheid en consistentie, tijd- en kostenbesparing en (de perceptie van) meer controle over het serviceproces (Curran & Meuter, 2005). Mede vanwege deze beoogde voordelen is de inzet van technologie in service-interacties de afgelopen twee decennia exponentieel gegroeid. De inzet van zogenaamde conversational agents is een van de belangrijkste manieren waarop dienstverleners technologie kunnen inzetten om menselijke servicemedewerkers te ondersteunen of vervangen (Gartner, 2021). Conversational agents zijn geautomatiseerde gesprekspartners die menselijk communicatief gedrag nabootsen (Laranjo et al., 2018; Schuetzler et al., 2018). Er bestaan grofweg drie soorten conversational agents: chatbots, avatars, en robots. Chatbots zijn applicaties die geen virtuele of fysieke belichaming hebben en voornamelijk communiceren via gesproken of geschreven verbale communicatie (Araujo, 2018;Dale, 2016). Avatars hebben een virtuele belichaming, waardoor ze ook non-verbale signalen kunnen gebruiken om te communiceren, zoals glimlachen en knikken (Cassell, 2000). Robots, ten slotte, hebben een fysieke belichaming, waardoor ze ook fysiek contact kunnen hebben met gebruikers (Fink, 2012). Conversational agents onderscheiden zich door hun vermogen om menselijk gedrag te vertonen in service-interacties, maar op de vraag ‘hoe menselijk is wenselijk?’ bestaat nog geen eenduidig antwoord. Conversational agents als sociale actoren Om succesvol te zijn als dienstverlener, is kwalitatief hoogwaardige interactie tussen servicemedewerkers en klanten van cruciaal belang (Palmatier et al., 2006). Dit komt omdat klanten hun percepties van een servicemedewerker (bijv. vriendelijkheid, bekwaamheid) ontlenen aan diens uiterlijk en verbale en non verbale gedrag (Nickson et al., 2005; Specht et al., 2007; Sundaram & Webster, 2000). Deze klantpercepties beïnvloeden belangrijke aspecten van de relatie tussen klanten en dienstverleners, zoals vertrouwen en betrokkenheid, die op hun beurt intentie tot gebruik, mond-tot-mondreclame, loyaliteit en samenwerking beïnvloeden (Hennig-Thurau, 2004; Palmatier et al., 2006).Er is groeiend bewijs dat de uiterlijke kenmerken en communicatieve gedragingen (hierna: menselijke communicatieve gedragingen) die percepties van klanten positief beïnvloeden, ook effectief zijn wanneer ze worden toegepast door conversational agents (B.R. Duffy, 2003; Holtgraves et al., 2007). Het zogenaamde ‘Computers Als Sociale Actoren’ (CASA paradigma vertrekt vanuit de aanname dat mensen de neiging hebben om onbewust sociale regels en gedragingen toe te passen in interacties met computers, ondanks het feit dat ze weten dat deze computers levenloos zijn (Nass et al., 1994). Dit kan verder worden verklaard door het fenomeen antropomorfisme (Epley et al., 2007; Novak & Hoffman, 2019). Antropomorfisme houdt in dat de aanwezigheid van mensachtige kenmerken of gedragingen in niet-menselijke agenten, onbewust cognitieve schema's voor menselijke interactie activeert (Aggarwal & McGill, 2007; M.K. Lee et al., 2010). Door computers te antropomorfiseren komen mensen tegemoet aan hun eigen behoefte aan sociale verbinding en begrip van de sociale omgeving (Epley et al., 2007; Waytz et al., 2010). Dit heeft echter ook tot gevolg dat mensen cognitieve schema’s voor sociale perceptie toepassen op conversational agents.
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The project proposal focuses on Virtual Humans (VHs) emerging as a Key Enabling Technology (KET) for societal prosperity. VHs (or embodied, digital, intelligent agents) are highly realistic and highly interactive digital representations of humans in entertainment of serious applications. Most known examples – beyond video games and virtual media productions – are virtual influencers, virtual instructors, virtual news readers, and virtual doctors/patients in health care or therapy. It is increasingly difficult for academic and applied researchers, let alone for users and policymakers, to keep up with the technological developments, societal uses, and risks of VHs. Due to its expertise in game technology, immersive media, and applied AI, BUas is one of the leading partners of the regional Virtual Human Research, Development and Innovation (RDI) agenda. MindLabs coordinates this agenda with BUas, Fontys Uas, and Tilburg University as principal partners. The multidisciplinary RDI agenda integrates design and engineering research, use case applications and evaluation as well as ethics and critical societal reflection. This regional Virtual Humans agenda, however, is not (yet) linked to the EU RDI agenda. Collaboration on Virtual Humans RDI is not yet well established in EU institutions and networks. The aim of this project is to 1) strengthen (our) European-knowledge position on VHs by joining and building networks to find out what the research and innovation agenda on VHs looks like; 2) Conduct one or more experimental studies on empathic interaction between real- and virtual humans to develop a multidisciplinary R&D agenda (pilot title: 'Virtual Humans – Real Emotions'); 3) Develop the ideas, content and partnerships for strong EU-funded RDI proposals In the VESPER project, we partner up with researchers and knowledge institutes the Humbolt University and the University of Bremen in Germany and Howest in Belgium.
The key goal was to further develop, secure and disseminate knowledge and concepts concerning the role of high realism in Virtual Reality. It followed the Digital Media Concept professorship to create and examine the effects of high quality worlds and characters in VR. Key focus was on the effect of high versus low realism in (existing and non-existing) digital environments as well as digital characters and avatars (digital representations of human users) and embodied agents (digital representations of computer programs that have been designed to interact with, or on behalf of, a human). This means on the one hand getting better equipment and skills to digitize and create high realistic avatars in VR. And on the other hand this means that a better understanding of the concept of realism and quality is needed. This encompasses a whole range of terms that varies from realistic resemblance, to high fidelity appearance and (real-time interactive and authentic) behaviour based on high AI programming. Research showed that very important is congruency in realism between elements within a VR world. Furthermore it showed that high realism is not always needed to stimulate ‘real’ (VR) behaviour. High immersive experiences and impulse behaviour also functions in virtual environments that have lower levels of realism. Studies have been conducted within the field of health, entertainment, advertising, architecture and journalism. An example is the VR game Descend, see link (used to examine the effect of realism through resemblance).Partners: Radboud University, Enversed, Stanford University, University of Oregon, Cornell University, several companies
