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  1. An exploratory study for analyzing interactional processes of group discussion: the case of a focus group interview.Kana Suzuki, Ikuyo Morimoto, Etsuo Mizukami, Hiroko Otsuka & Hitoshi Isahara - 2009 - AI and Society 23 (2):233-249.
    The purposes of this study are (a) to establish a measurement for evaluating conversational impressions of group discussions, and (b) to make an exploratory investigation on their interactional processes which may affect to form those impressions. The impression rating and factor analysis undertaken first give us four factors concerning conversational impressions of “focus group interviews (FGIs)”: conversational activeness, conversational sequencing, the attitudes of participants and the relationships of participants. In relation to the factors of conversational activeness and conversational sequencing in (...)
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  • Effects of Internet use on self-efficacy: perceived network-changing possibility as a mediator. [REVIEW]Kaichiro Furutani, Tetsuro Kobayashi & Mitsuhiro Ura - 2009 - AI and Society 23 (2):251-263.
    The effect of Internet use as a mediating variable on self-efficacy as it relates to the cognition of network-changing possibility (i.e., connecting people or groups with different social backgrounds) was examined. The results showed that Internet use (i.e., the frequency of sending e-mail, friends made on the Internet) had a positive effect on the cognition of network-changing possibility. The cognition that it is possible to connect people with different social backgrounds by using the Internet also had a positive effect on (...)
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  • Self-efficacy and learning experience of information education: in case of junior high school. [REVIEW]Jun Moriyama, Yasushi Kato, Yoshika Aoki, Akihito Kito, Maryam Behnoodi, Youichi Miyagawa & Masashi Matsuura - 2009 - AI and Society 23 (2):309-325.
    The purpose of this study is to make clear the relationships between student’s self-efficacy and learning experience of information education in case of junior high school. Two investigations were implemented in this study. The aim of first investigation was to grasp the present status of students’ feeling of effectiveness of their learning experience in information education. Also, the aim of second investigation was to verify the relationships between students’ self-efficacy and the abilities for information utilizing that promoted in information education. (...)
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  • Visualization of balancing systems based on naïve psychological approaches.Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda & Osamu Katai - 2009 - AI and Society 23 (2):281-296.
    In this paper, we propose a novel medium for interactions based on an interpersonal psychological approach referred to as ‘naïve psychology’. We adopt the visual assessment of clustering tendency (VAT) to naïve psychology for the visual understanding of other people. The VAT algorithm produces a visual display that can be used to assess clustering tendencies in a set of persons (notions) by reconstructing a digital image representation of a square relational dissimilarity matrix for its set. This algorithm clearly represents two (...)
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  • Real-time system for measuring gaze direction and facial features: towards automatic discrimination of lies using diverse nonverbal information. [REVIEW]Yoshimasa Ohmoto, Kazuhiro Ueda & Takehiko Ohno - 2009 - AI and Society 23 (2):187-200.
    Interactive and autonomous agents might be common in everyday life in the future; we expect that such agents will have the ability to communicate with people naturally. For natural communication, the agents should speculate about the intentions of the people they interact with. To enable agents to speculate about intentions like deception, we focused on unconscious expressions when people tell a lie. However, there is no system that can meet the necessary conditions for measuring nonverbal information in natural communication. Therefore, (...)
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  • PLASIU: a system that facilitates creative decision-making in job-hunting. [REVIEW]Hiroko Shoji, Kazunori Fujimoto & Koichi Hori - 2009 - AI and Society 23 (2):265-279.
    Through an analysis of university students’ job-hunting logs, we have found that their introspection via rereading their log sometimes helps them discover themselves. Then we have built a system called PLASIU designed to support job-hunter’s creative decision-making based on the observations from their actual job-hunting process. This paper provides an overview of PLASIU and describes the findings from a user study using PLASIU.
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  • Pro-active meeting assistants: attention please! [REVIEW]Rutger Rienks, Anton Nijholt & Paulo Barthelmess - 2009 - AI and Society 23 (2):213-231.
    This paper gives an overview of pro-active meeting assistants, what they are and when they can be useful. We explain how to develop such assistants with respect to requirement definitions and elaborate on a set of Wizard of Oz experiments, aiming to find out in which form a meeting assistant should operate to be accepted by participants, and whether the meeting effectiveness and efficiency can be improved by an assistant at all. This paper gives an overview of pro-active meeting assistants, (...)
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  • How anonymous are you online? Examining online social behaviors from a cross-cultural perspective.Hiroaki Morio & Christopher Buchholz - 2009 - AI and Society 23 (2):297-307.
    Communication on the Internet is often described as “anonymous”, yet the usage of the term is often confusing, even in academia. Three levels of anonymity, visual anonymity, dissociation of real and online identities, and lack of identifiability, are thought to have different effects on various components of interpersonal motivation. Specifically, we propose that cross-cultural differences in interpersonal motivation (autonomy vs. affiliation) are illustrated by choices individuals make when deciding whether or not to remain anonymous while communicating online. Autonomy is often (...)
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  • WOZ experiments for understanding mutual adaptation.Yong Xu, Kazuhiro Ueda, Takanori Komatsu, Takeshi Okadome, Takashi Hattori, Yasuyuki Sumi & Toyoaki Nishida - 2009 - AI and Society 23 (2):201-212.
    A robot that is easy to teach not only has to be able to adapt to humans but also has to be easily adaptable to. In order to develop a robot with mutual adaptation ability, we believe that it will be beneficial to first observe the mutual adaptation behaviors that occur in human–human communication. In this paper, we propose a human–human WOZ (Wizard-of-Oz) experiment setting that can help us to observe and understand how the mutual adaptation procedure occurs between human (...)
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  • ‘Social’ systems: designing digital systems that support social intelligence. [REVIEW]Thomas Erickson - 2009 - AI and Society 23 (2):147-166.
    Large groups of people exhibit social intelligence: coherent behavior directed towards individual or collective goals. This paper examines ways in which such behavior is produced in face to face situations, and discusses how it can be supported in online systems used by geographically distributed groups. It describes the concept of a “social proxy,” a minimalist visualization of the presence and activities of participants in an online interaction that is used to make online social norms visible. It summarizes experience with an (...)
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  • Interactive perception for amplification of intended behavior in complex noisy environments.Yasser Mohammad & Toyoaki Nishida - 2009 - AI and Society 23 (2):167-186.
    The detection of a human’s intended behavior is one of the most important skills that a social robot should have in order to become acceptable as a part of human society, because humans are used to understand the actions of other humans in a goal-directed manner and they will expect the social robot to behave similarly. A breakthrough in this area can advance several research branches related to social intelligence such as learning by imitation and mutual adaptation. To achieve this (...)
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