3,429 research outputs found

    Space, conversations and place: lessons and questions from organisational development

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    Physical workspace is distinguished from workplace. The latter embodies culture and should become the greater concern of FM. In the field of individual and group development spaces can add an extra gear to stimulate cognitive processes. We provide various examples and suggest modern workplaces, with their emphasis on interaction need to also focus on environments and spaces for individual and collective reflection

    A gentle transition from Java programming to Web Services using XML-RPC

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    Exposing students to leading edge vocational areas of relevance such as Web Services can be difficult. We show a lightweight approach by embedding a key component of Web Services within a Level 3 BSc module in Distributed Computing. We present a ready to use collection of lecture slides and student activities based on XML-RPC. In addition we show that this material addresses the central topics in the context of web services as identified by Draganova (2003)

    ACUTA Journal of Telecommunications in Higher Education

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    In This Issue Trend Tracker Future Web APPs: Reinventing the Nature of Higher Education Security ls High Priority at Ohio State Making the Most of Mobile Communications What Do Students Want? lnstitutional Excellence Award Interview President\u27s Message From the Executive Director Q&A from the CI

    Conversational Agents in Education – A Systematic Literature Review

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    Conversational Agents (CAs) are widely spread in a variety of domains, such as health and customer service. There is a recent trend of increasing publications and implementations of CAs in education. We conduct a systematic literature review to identify common methodologies, pedagogical CA roles, addressed target groups, the technologies and theories behind, as well as human-like design aspects. The initially found 3329 records were systematically reduced to 252 fully coded articles. Based on the analysis of the codings, we derive further research streams. Our results reveal a research gap for long-term studies on the use of CAs in education, and there is insufficient holistic design knowledge for pedagogical CAs. Moreover, target groups other than academic students are rarely considered. We condense our findings in a morphological box and conclude that pedagogical CAs have not yet reached their full potential of long-term practical application in education

    INSPIRAL: investigating portals for information resources and learning. Final project report

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    INSPIRAL's aims were to identify and analyse, from the perspective of the UK HE learner, the nontechnical, institutional and end-user issues with regard to linking VLEs and digital libraries, and to make recommendations for JISC strategic planning and investment. INSPIRAL's objectives -To identify key stakeholders with regard to the linkage of VLEs, MLEs and digital libraries -To identify key stakeholder forum points and dissemination routes -To identify the relevant issues, according to the stakeholders and to previous research, pertaining to the interaction (both possible and potential) between VLEs/MLEs and digital libraries -To critically analyse identified issues, based on stakeholder experience and practice; output of previous and current projects; and prior and current research -To report back to JISC and to the stakeholder communities, with results situated firmly within the context of JISC's strategic aims and objectives

    Design Knowledge for the Lifecycle Management of Conversational Agents

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    Organizations spend extensive resources on artificial intelligence (AI) solutions in customer service in order to remain customer-focused and competitive. A rising language-based application of AI emerges in the context of conversational agents (CAs), such as chatbots, which represent increasingly intelligent, autonomous, scalable, and cost-effective service platforms. However, AI-based CAs bring new organizational challenges. They are underrepresented in current research, leading to many unanswered questions and research potential regarding the management of their introduction, operation, and improvement. To address this issue, we provide design knowledge that considers the organizational perspective of CAs. Therefore, we conducted a systematic literature review (SLR) and qualitative interview study to reveal and analyze individual issues and challenges, develop meta-requirements, and finally, use them to create design principles. We contribute to the emerging field of CAs that has previously focused mainly on the individual, behavioral, interactional, or technical design

    SHARED PATH Service Design and Artificial Intelligence in Designing Human-Centred Digital Services

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    Digitalization and the growing service economy place challenges on organizations for transforming their service offerings to match the high user expectations. Services increasingly exploit digital technologies which play an important role in the creation of service experiences. One of the examples is artificial intelligence (AI), which may actively perform in customer service, but also provide solutions in the back end of services. While AI actively takes part in the creation of service value, the line between human and machine in the service encounters blurs. This creates new type of service components which need to be designed as part of digital service journeys. This dissertation is constructed around seven scientific publications that explore the merging of AI and service design in creating human-centred digital service solutions. The focus in the publications is on applying service design principles to AI-enabled services, from which an AI assistant is an example. AI assistants interact with users through text and voice interfaces and can be perceived as a gateway to complex digital service ecosystems. AI assistants are rather new as services, and they touch upon areas that, besides the design challenges, are ethically, philosophically and legally demanding. Here, service designers face changes both in the design process and in their role as designers. This study was conducted as a qualitative research with roots in the practice of design research. The main research data consist of five case studies and seven expert interviews analysed through coding, content analysis and visual mapping to answer the following research question: How is AI affecting the practice of service design and the design of digital services? The findings from the publications are concluded under the following four topics: (1) AI changes the design of digital service interactions, (2) AI assistants perform as actors in digital services, (3) AI needs to be human-centred rather than human-like and (4) AI assists and augments the practice of service design. Under these topics, the discussion highlights the ethical considerations and humanization aspect of AI as a part of designing and the design outcomes as AI-enabled services.Digitalisaatio ja kasvava palvelukeskeinen markkinatalous asettavat organisaatioille muutoshaasteitta, jotta palvelutarjonnalla pystyttäisiin vastaamaan käyttäjien korkeisiin odotuksiin. Palvelut hyödyntävät yhä enenevissä määrin digitaalista teknologiaa osana palvelukokemusten tuottamista. Yhtenä esimerkkinä teknologioista on tekoäly, jolla voi jo olla aktiivinen osa asiakaspalvelussa sekä ratkaisujen tuottajana palveluiden taustajärjestelmissä. Kun tekoälyn rooli palveluarvon tuottamisessa kasvaa, raja ihmisen ja koneen välillä voi hämärtyä. Tekoäly luo näin uudenlaisia palveluelementtejä, jotka tulee muotoilla osaksi digitaalisia palvelupolkuja. Väitöstyö pohjautuu seitsemään tieteelliseen julkaisuun, joiden kautta tutkimus tarkastelee tekoälyn ja palvelumuotoilun yhteyttä ihmislähtöisten digipalveluiden muotoilemisessa. Julkaisut keskittyvät palvelumuotoilun näkökulmaan tekoälyavusteisten palveluiden kehittämisessä ja käyttävät esimerkkikontekstina tekoälyassistentteja. Tekoälyassistentti on digitaalisen palvelun muoto, joka on vuorovaikutuksessa asiakkaan kanssa joko tekstin tai puheen kautta. Tekoälyassistentti voi myös toimia keulakuvana laajemmalle palvelutarjonnalle ja palveluekosysteemeille. Tekoälyassistentit ovat palvelumuotona melko uusia ja niiden aihepiirit ovat muotoiluhaasteen lisäksi eettisesti, filosofisesti ja juridisesti haastavia. Tämä luo palvelumuotoilijalle haastavan asetelman niin muotoiluprosessiin kuin omaan työhön muotoilijana. Väitöstutkimus on toteutettu laadullisena tutkimuksena muotoilun tutkimuksen kentällä. Tutkimuksen ensisijainen aineisto koostuu viidestä tapaustutkimuksesta ja seitsemästä asiantuntijahaastattelusta. Aineistoa on analysoitu koodaamisen, sisällönanalyysin sekä visuaalisen analyysin keinoin. Analyysin kautta vastataan tutkimuskysymykseen: Mikä on tekoäly vaikutus palvelumuotoilutoimintaan ja digitaalisten palveluiden muotoilemiseen? Tutkimustulokset esitellään neljän aihepiirin kautta: (1) Tekoäly muuttaa digitaalisten palveluiden vuorovaikutusten muotoilua, (2) tekoälyassistentit ovat aktiivisia toimijoita digitaalisissa palveluissa, (3) tekoälyn on oltava ihmiskeskeistä, ei ihmismäistä, ja (4) tekoäly tukee ja laajentaa palvelumuotoilutoimintaa. Näiden aihepiirien kautta tutkimustulokset nostavat esiin tekoälyn eettiset ja inhimilliset näkökulmat osana tekoälyavusteisia palveluita sekä niitä tuottavaa palvelumuotoilutoimintaa

    Contributions to chatbots and digital analytics in industry

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    Diese kumulative Dissertation umfasst zehn wissenschaftliche Artikel, die zur Forschung digitaler Analytik, Messung von Technologieakzeptanz und Chatbots beitragen. Ziel der Artikel ist es, die Entwicklung, Implementierung und Verwaltung von Technologien zu vereinfachen und zu unterstützen. Modelle werden entwickelt, welche die wichtigsten Schritte beschreiben und unter anderem relevante damit zusammenhängende Fragen auflisten, die zu beteiligenden Interessengruppen benennen und geeignete Tools vorstellen, welche berücksichtigt werden sollten. Es werden Chatbot Taxonomien entwickelt und vorgestellt, welche die Bandbreite der derzeit bestehenden Gestaltungsmöglichkeiten aufzeigen, während identifizierte Archetypen zu beobachtende Kombinationen aufzeigen. Die Identifizierung der häufigsten Gründe für Misserfolge und die Entwicklung kritischer Erfolgsfaktoren tragen ebenfalls zu dem Ziel bei, den Entwicklungs- und Managementprozess zu erleichtern. Da die Endnutzer über die Akzeptanz und Nutzung und damit über den Erfolg einer Technologie entscheiden, werden Ansätze genutzt, wie die Nutzerakzeptanz von Technologien gemessen werden kann und wie Nutzer frühzeitig in den Entwicklungsprozess eingebunden werden können

    Catalog 2009-10

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    https://openspace.dmacc.edu/catalogs/1003/thumbnail.jp
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