Search results for "Collective Intelligence"
showing 9 items of 29 documents
On Interacting with Collective Knowledge of Group Facilitation
2013
Group decision process design is a well-known class of ill-structured, dynamic, and going-concerns problem. The paper presents a human-computer interaction engineering approach to design a software prototype that provides personalized, contextual and actionable recommendations for this problem. The approach emphasizes the computational aspects of collective intelligence to structure these recommendations based on the collective knowledge that reflects not only the design space per se, but the collective experience in exploiting it as well. It is demonstrated by: 1) detailing the engineering issues of an implemented prototype for the group decision process design; and 2) explaining its funct…
A stigmergic approach for social interaction design in collaboration engineering
2014
The increasing number of available collaborative tools and their extensive use in many organizational activities has constantly raised the complexity of collaboration engineering. It presumes the design of group decision processes, supported by a wide-range of groupware tools, in an ill-structured, dynamic, and open environment. As many of these processes are recurring by nature, the development of a shared repository to store the collective knowledge and experiences of group decision process designs became a core research topic of collaboration engineering in last few years. The paper presents a human-computer interaction engineering approach to design a software prototype that provides pe…
TB-Structure: Collective Intelligence for Exploratory Keyword Search
2017
In this paper we address an exploratory search challenge by presenting a new (structure-driven) collaborative filtering technique. The aim is to increase search effectiveness by predicting implicit seeker’s intents at an early stage of the search process. This is achieved by uncovering behavioral patterns within large datasets of preserved collective search experience. We apply a specific tree-based data structure called a TB (There-and-Back) structure for compact storage of search history in the form of merged query trails – sequences of queries approaching iteratively a seeker’s goal. The organization of TB-structures allows inferring new implicit trails for the prediction of a seeker’s i…
Web 2.0 and the collective intelligence
2008
In this paper, I describe a new form of collective intelligence (CI) on the Internet. It is project-like self-organization of masses of ordinary people on the Internet. These crowds emerge, define the collective problem or task by themselves, solve it, and vanish as entities. I have coined this phenomena to netcrowd ('verkkovoima' in Finnish). I compare netcrowd to other forms of CI and suggest a typology for CI types.
Crowdsourcing Fundamentals: Definition and Typology
2015
Crowdsourcing is a problem-solving and task realization model that is being increasingly used. Thanks to the possibility of harnessing the collective intelligence from the Internet; thanks to the crowdsourcing initiatives people can, for example, find a solution to a complex chemical problem, get images tagged, or get a logo designed. Due to its success and usefulness, more and more researchers have focused their interest on this concept. This fact has shown that the concept of crowdsourcing has no clear boundaries, and although over time the concept has been better explained, some authors describe it differently, propose different types of crowdsourcing initiatives, or even use contradicto…
Integrating Social Skills in Task-Oriented 3D IVA
2005
This paper presents a set of mechanisms oriented to incorporate social information into the decision taking of task-oriented 3DIVA. The aim of this approach is to integrate collaborative skills in different character's roles (seller/buyer, worker, pedestrian, etc.) in order to enhance its behavioral animation. The collective intelligence expected in this kind of multi-character domains (e.g. storytelling, urban simulation, interactive games, etc.) requires agents able to dialogue/interact with other characters, to autonomously group/ungroup (according to their goals), or to distribute tasks and coordinate their execution for solving possible conflicts. The social model implemented follows t…
Using crowdsourcing for a safer society: When the crowd rules
2020
Neighbours sharing information about robberies in their district through social networking platforms, citizens and volunteers posting about the irregularities of political elections on the Internet, and internauts trying to identify a suspect of a crime: in all these situations, people who share different degrees of relationship collaborate through the Internet and other technologies to try to help with or solve an offence. The crowd, which is sometimes seen as a threat, in these cases becomes an invaluable resource that can complement law enforcement through collective intelligence. Owing to the increasing growth of such initiatives, this article conducts a systematic review of the litera…
Protocol: A literature review about the use of crowdsourcing in educational environments
2016
<p>The objective with the protocol described in this paper is to review the existing literature in relation to the implementation of crowdsourcing in educational environments. It seeks to give answer to 4 questions. First, it seeks to answer the question of which kind of crowdsourcing initiatives are more appropriate to be used for educational activities. In second place it’s important to find out whether there is any particular discipline in which crowdsourcing, by its nature, can be applied more naturally. Third, it seeks to identify which factors influence both positively and negatively in the teaching/learning experience using crowdsourcing. Finally, the last question to answer, t…
Industry 4.0 vs. Industry 5.0 : Co-existence, Transition, or a Hybrid
2023
Smart manufacturing is being shaped nowadays by two different paradigms: Industry 4.0 proclaims transition to digitalization and automation of processes while emerging Industry 5.0 emphasizes human centricity. This turn can be explained by unprecedented challenges being faced recently by societies, such as, global climate change, pandemics, hybrid and conventional warfare, refugee crises. Sustainable and resilient processes require humans to get back into the loop of organizational decision-making. In this paper, we argue that the most reasonable way to marry the two extremes of automation and value-based human-driven processes is to create an Industry 4.0 + Industry 5.0 hybrid, which inher…