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    <link>http://hdl.handle.net/10071/5340</link>
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        <rdf:li rdf:resource="http://hdl.handle.net/10071/34116" />
        <rdf:li rdf:resource="http://hdl.handle.net/10071/30790" />
        <rdf:li rdf:resource="http://hdl.handle.net/10071/29530" />
        <rdf:li rdf:resource="http://hdl.handle.net/10071/25193" />
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    <dc:date>2026-03-14T17:23:46Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10071/34116">
    <title>Exploring the effects of setting performance and learning goals in a transparent simulation of a dynamically complex task</title>
    <link>http://hdl.handle.net/10071/34116</link>
    <description>Título próprio: Exploring the effects of setting performance and learning goals in a transparent simulation of a dynamically complex task
Autoria: Capelo, C.; Pereira, R.
Resumo: Simulation-based learning environments are increasingly viewed as promising tools to foster learning in complex domains. However, research has indicated that subjects may nevertheless have persistent cognitive difficulties in comprehending and managing dynamic systems. Previous studies have revealed positive learning effects of using transparent simulations (that is, revealing to users the structure and behavior of the simulator model). This study explores the effects of combining exploratory guidance, learning goals, and performance goals in a transparent simulation of a dynamically complex system. In a simulation experiment, participants interacted with a system dynamics model representing the growth of a business venture. Participants who had previously worked higher learning goals under exploratory guidance and were then given higher performance goals achieved higher performance and demonstrated better comprehension of the model dynamics. However, participants who were only subjected to more specific, high performance goals did not improve their outcomes and revealed larger differences within the treatment group.</description>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10071/30790">
    <title>The perception of trust in personalized video news generated by artificial intelligence</title>
    <link>http://hdl.handle.net/10071/30790</link>
    <description>Título próprio: The perception of trust in personalized video news generated by artificial intelligence
Autoria: Breviglieri F.; Guerreiro, J.; Loureiro, S.
Editor: Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T.
Resumo: As the use of artificial intelligence (AI) grows, so do the questions regarding this new&#xD;
technology and its potential uses. Among the various possibilities and employment that could&#xD;
be offered by AI is personalized news technology. Nowadays, it is already possible to&#xD;
produce journalistic content through AI (Carlson, 2014; Graefe &amp; Haim, 2018). Digital&#xD;
storytelling has become a reality through automated journalism powered by AI (Caswell &amp;&#xD;
Dörr, 2018; Galily, 2018; Linden, 2017; Thorne, 2020). “Artificial intelligence applies&#xD;
advanced analysis and logic-based techniques, including machine learning, to interpret&#xD;
events, support and automate decisions, and take actions” (Gartner Group, 2019). In&#xD;
personalized news technology, algorithms are responsible for selecting content and sorting it&#xD;
according to the personalization criteria (Powers, 2017). So far, AI has been studied in&#xD;
different fields with distinct research focuses (Loureiro et al., 2021). Studies of news-&#xD;
personalization technologies have mainly focused on research engines and filtering&#xD;
mechanisms (Darvishy et al., 2020; Haim et al., 2017; Manoharan &amp; Senthilkumar, 2020).&#xD;
Few studies examine news aggregators (Haim et al., 2018; Kwak et al., 2021) and the effects&#xD;
of news personalization on audiences (Merten, 2021; Swart, 2021; Thurman et al., 2019),&#xD;
thus demanding further research. AI is an imminent reality for the future, reshaping the news&#xD;
media (Brennen et al., 2022; Linden, 2017; Thorne, 2020). Hence, it is still necessary to&#xD;
investigate the impacts that this technology potentially offers to users. Therefore, the current&#xD;
study seeks to respond to this need to deepen research into the area of news personalization&#xD;
through AI, by analyzing the response of audiences toward current and future technological&#xD;
tendencies. The main aim of this research is to investigate the levels of trust that users have&#xD;
in AI-generated personalized video news.</description>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10071/29530">
    <title>Representations of the city as a space of insecurity and crime: Lisbon, 1850-1910</title>
    <link>http://hdl.handle.net/10071/29530</link>
    <description>Título próprio: Representations of the city as a space of insecurity and crime: Lisbon, 1850-1910
Autoria: Vaz, M. J.
Resumo: The relationship between crime and the city, the idea that the city favoured the practice of crime, was a&#xD;
recurring issue in the 19th century. In Portugal, this idea mainly concerned the city of Lisbon. Using diverse&#xD;
documentation, this communication analyses the representations of the city understood as an insecure and&#xD;
criminal space, as opposed to the idyllic constructions then made about life in the countryside and the&#xD;
narratives that define the city as a space of modernity and well-being.</description>
    <dc:date>2019-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10071/25193">
    <title>Shall we adopt the information about firms in facebook?</title>
    <link>http://hdl.handle.net/10071/25193</link>
    <description>Título próprio: Shall we adopt the information about firms in facebook?
Autoria: Loureiro, S.; Kaufmann, H.
Editor: Claudio Vignali, Gianpaolo Vignali
Resumo: The adoption of information in Facebook is a subject of growing interest for both&#xD;
researchers and managers. Nevertheless, research in this area is still sparse and even core&#xD;
issues, such as the kinds of information available and how that information influence&#xD;
business relationships and partnerships, are not yet fully defined. Therefore, the purpose&#xD;
of this study is to analyse factors that lead consumers to adopt the information about&#xD;
products/brands. Findings show that timeliness, trustworthiness and importance of the&#xD;
SNS are the strongest drivers to information adoption.</description>
    <dc:date>2015-01-01T00:00:00Z</dc:date>
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