24,153 research outputs found
Maps, agents and dialogue for exploring a virtual world
In previous years we have been involved in several projects in which users (or visitors) had to find their way in information-rich virtual environments. 'Information-rich' means that the users do not know beforehand what is available in the environment, where to go in the environment to find the information and, moreover, users or visitors do not necessarily know exactly what they are looking for. Information-rich means also that the information may change during time. A second visit to the same environment will require different behavior of the visitor in order for him or her to obtain similar information than was available during a previous visit. In this paper we report about two projects and discuss our attempts to generalize from the different approaches and application domains to obtain a library of methods and tools to design and implement intelligent agents that inhabit virtual environments and where the agents support the navigation of the user/visitor
DOING POLICY IN THE LAB! OPTIONS FOR THE FUTURE USE OF MODEL-BASED POLICY ANALYSIS FOR COMPLEX DECISION-MAKING
For models to have an impact on policy-making, they need to be used. Exploring the relationships between policy models, model uptake and policy dynamics is the core of this article. What particular role can policy models play in the analysis and design of policies? Which factors facilitate (inhibit) the uptake of models by policy-makers? What are possible pathways to further develop modelling approaches to better meet the challenges facing agriculture today? In this paper, we address these issues from three different points of view, each of which should shed some light on the subject. The first point of view discusses models in the framework of complex adaptive systems and uncertainty. The second point of view looks at the dynamic interplay between policies and models using the example of modelling in agricultural economics. The third point of view addresses conditions for a successful application of models in policy analysis.modelling, complexity, participatory modelling, policy analysis, model use, Agricultural and Food Policy, Research Methods/ Statistical Methods,
A Personalized System for Conversational Recommendations
Searching for and making decisions about information is becoming increasingly
difficult as the amount of information and number of choices increases.
Recommendation systems help users find items of interest of a particular type,
such as movies or restaurants, but are still somewhat awkward to use. Our
solution is to take advantage of the complementary strengths of personalized
recommendation systems and dialogue systems, creating personalized aides. We
present a system -- the Adaptive Place Advisor -- that treats item selection as
an interactive, conversational process, with the program inquiring about item
attributes and the user responding. Individual, long-term user preferences are
unobtrusively obtained in the course of normal recommendation dialogues and
used to direct future conversations with the same user. We present a novel user
model that influences both item search and the questions asked during a
conversation. We demonstrate the effectiveness of our system in significantly
reducing the time and number of interactions required to find a satisfactory
item, as compared to a control group of users interacting with a non-adaptive
version of the system
Interaction design issues for car navigation systems
We describe a study on the interaction design of in-car
navigation systems. It focused on a commercial
product. Critical incident analysis was performed
based on natural use of the system by a usability
analyst. A cognitive walkthrough was then performed
based on actual scenarios from the natural use. This
is a non-classic application of cognitive walkthrough.
It allowed anecdotal critical incidents to be
theoretically grounded. We draw conclusions about
the interaction design of car navigation systems
Recommended from our members
An interface to virtual environments for people who are blind using Wii technology - mental models and navigation
Accessible games, both for serious and for entertainment purposes, would allow inclusion and participation for those with disabilities. Research into the development of accessible games, and accessible virtual environments, is discussed. Research into accessible Virtual Environments has demonstrated great potential for allowing people who are blind to explore new spaces, reducing their reliance on guides, and aiding development of more efficient spatial maps and strategies. Importantly, Lahav and Mioduser (2005, 2008) have demonstrated that, when exploring virtual spaces, people who are blind use more and different strategies than when exploring real physical spaces, and develop relatively accurate spatial representations of them. The present paper describes the design, development and evaluation of a system in which a virtual environment may be explored by people who are blind using Nintendo Wii devices, with auditory and haptic feedback. The nature of the various types of feedback is considered, with the aim of creating an intuitive and usable system. Using Wii technology has many advantages, not least of which are that it is mainstream, readily available and cheap. The potential of the system for exploration and navigation is demonstrated. Results strongly support the possibilities of the system for facilitating and supporting the construction of cognitive maps and spatial strategies. Intelligent support is discussed. Systems such as the present one will facilitate the development of accessible games, and thus enable Universal Design and accessible interactive technology to become more accepted and widespread
Embodied Robot Models for Interdisciplinary Emotion Research
Due to their complex nature, emotions cannot be properly understood from the perspective of a single discipline. In this paper, I discuss how the use of robots as models is beneficial for interdisciplinary emotion research. Addressing this issue through the lens of my own research, I focus on a critical analysis of embodied robots models of different aspects of emotion, relate them to theories in psychology and neuroscience, and provide representative examples. I discuss concrete ways in which embodied robot models can be used to carry out interdisciplinary emotion research, assessing their contributions: as hypothetical models, and as operational models of specific emotional phenomena, of general emotion principles, and of specific emotion ``dimensions''. I conclude by discussing the advantages of using embodied robot models over other models.Peer reviewe
Reviews
Teaching and Learning Materials and the Internet by Ian Forsyth, London: Kogan Page, 1996. ISBN: 0–7494‐ 20596. 181 pages, paperback. £18.99
Interactive Digital Storytelling: Towards a Hybrid Conceptual Approach
1 Introduction In this contribution, Interactive Digital Storytelling is viewed as a hybrid form of game design and cinematic storytelling for the understanding and making of future learning and entertainment applications. The paper shall present formal design models that provide a conceptual bridge between both traditional linear narrative techniques as well as agent-based emergent conversations with virtual characters. In summary, a theoretical classification of thinking models for authors and interactive experiences for users will be presented. The conceptual work is based upon practical experiments within several research projects on edutainment, which employ conversations with virtual characters to convey information and to entertain. By building several prototypes, two different approaches where explored to combine plot-based interactive storytelling with character-based emergent conversations. Visual impressions of the examples are shown in Fig. 1 and will be explained in more detail in the full paper. In both examples, several virtual animated characters converse digitally with each other and with a user who mainly types text with the keyboard, optionally complemented by choice functionality and special hardware interfaces. The resulting conversations differ in their direction of approaching a middle ground between predefined narrative presentations and emergent conversations with a user, by combining emerging chatterbot dialogues with a story structure. The user experiences a semi-autonomous behaviour of interacting agents. This paper is not about the difference between stories and games. The motivation is on the potential of both to offer structures for learning and entertainment. Instead of trying to draw a distinct line between them, conceptual models for authors have to be defined, who are responsible to flesh out a suitable design within a variability of forms. Design elements include aspects of drama and filmmaking, dialogue design, as well as game design and game tuning. The actual challenge for the design of learning applications with conversational agents is the necessity that authors have to take on responsibility concerning the intended outcome and effect. In fact, they have to balance the bias between a pre-structured storyline (and possibly a timeline) which they may have strictly defined, and the agency that users shall experience through the design of the author. However, there is no one-dimensional borderline between both. In the following, the paper presents a model with several levels which shall help to form a more differentiated picture. 2 Conceptual Models for Storytelling and Agency In Fig. 2, a traditional modus operandi is sketched at four abstract levels. The distinction between levels may vary from project to project. The four levels were found to be suitable for the addition of interaction at each of the levels to form a classification of genres. On the top level of highest story abstraction, the overall dramatic outline is sketched. For example, there may be a hero’s journey in 3 acts, or a Propp model. Further, authors break down the story into scenes which are handled at the next level. Each scene will be defined by a scene script. Within a scene, dialogues and interactions between actors are defined, and lead to stage directions. If producing for an animated film, these directions are strictly mapped onto virtual actors by a skilled animator, who defines the way the virtual actors move and behave. When storytelling gets interactive, the user can influence the storytelling. In fact, in games as well as in constructivist scenarios for learning, users need to experience agency within a story. However, there are different levels at which to affect the outcome. In Fig. 3, the first author model (compare Fig. 2) has been extrapolated according to the need of introducing agency at each level. Opposed to the author, a participant is modelled who now may contribute to each level. The first implication for the author is that it’s not enough to just model a database of descriptions, but to add rules and models, which control an autonomous behaviour at each level in reaction to the participants. Then, it is possible to think of gradations of granted agency versus authored determination. Within Fig. 3 this is indicated by the sliders between control and autonomy at each level. The levels rather represent conceptual stages for authoring than elements of software architecture, though there are parallels to architectures of a number of existing systems of game and story engines. Semi-autonomy occurs on the edge between predefined factual information and rules for each level. The more rules on one level, the more agency can be experienced by potentially affecting the respective level. For example: It is imaginable that participants only experience agency on the lowest level, as a feeling of presence in a scenario. In this case, everything is predefined, but avatars would still react with nonverbal cues to the visitor and recognize her, comparable to a virtual cursor that shows a live status. At the conversation level, participants can for example have agency in an entertaining and informative chatbot dialogue with the characters. They may even not be able to affect anything in the story logic, but participate at dialogue level with speech acts. Agency at scene level would mean to have real choices about the outcome of a scene, for example, the story of the game would have to change according to user’s actions. On the top level, players would influence the whole story of the application, if the "agency slider" would be at a 100% to the right. For example, a simulation such as "The Sims" (Electronic Arts) can be put into the classification here. For factual knowledge transfer in a didactic lesson situation, the highest level could stay predefined, while the lower levels allow for conversational interaction, however constrained. If authors only provide a rule base with little pre-scripted structuring, they achieve a conceptual model more like an exploration or gaming experience depending completely on the action of the player. While arranging the bias at each level to various slider positions, several abstract genres of Interactive Digital Storytelling can be rebuilt in the model, which helps to specify exactly what kind of user experience an application shall provide. It is a conceptual model that can be used to classify story-related games, and it particularly supports authors coming from linear media, stepping into interactive storytelling. 3 Further Work In the full paper, I will also tackle related work while comparing with other theoretical models between games and stories, including references of the taxonomies of C. Lindley, M. Leblanc, J. Klabbers, B. Laurel, C. Pearce, and traditional classifications such as of R. Caillois. I will give more examples how existing products of Interactive Storytelling fit into the classification, and raise the question if new genres have to be defined particularly for Interactive Digital Storytelling. Literature Caillois, Roger: Man, Play and Games. (orig.: Les Jeux Et Les Hommes 1958) University of Illinois Press, Reprint (2001) Hunicke, Robin; LeBlanc, Marc; Zubek, Robert: MDA: A Formal Approach to Game Design and Game Research. In: Workshop Proceedings: Challenges in Game AI. 19th National Conference on Artificial Intelligence AAAI (2004) Klabbers, Jan H.G.: The gaming landscape: A taxonomy for classifying games and simulations. In Copier & Raessens (Eds.) Level up: Digital Games Research Conference. Utrecht University (2003) Lindley, Craig: Narrative, Game Play and Alternative Time Structures for Virtual Environments. In: Proc. TIDSE 2004, Technologies for Interactive Digital Storytelling and Entertainment, Darmstadt, Springer LNCS vol. 3105, 2004 Pearce, Celia: Emergent authorship: The next interactive revolution. In: Computers & Graphics 26, p. 21-29 (2002) Spierling, U.: Conceptual Models for Interactive Digital Storytelling in Knowledge Media Applications. In: Proc. TIDSE 2004, Technologies for Interactive Digital Storytelling and Entertainment, Darmstadt, Springer LNCS vol. 3105, 200
- …