Ioanna Lykourentzou

ORCID: 0000-0002-4243-4128
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About
Contact & Profiles
Research Areas
  • Mobile Crowdsensing and Crowdsourcing
  • Open Source Software Innovations
  • Auction Theory and Applications
  • Wikis in Education and Collaboration
  • Team Dynamics and Performance
  • Educational Games and Gamification
  • Knowledge Management and Sharing
  • Expert finding and Q&A systems
  • Rough Sets and Fuzzy Logic
  • Online Learning and Analytics
  • Innovative Human-Technology Interaction
  • Digital Marketing and Social Media
  • Data Stream Mining Techniques
  • Complex Network Analysis Techniques
  • Digital Economy and Work Transformation
  • Semantic Web and Ontologies
  • Virtual Reality Applications and Impacts
  • Optimization and Search Problems
  • Museums and Cultural Heritage
  • Educational Technology and Assessment
  • Data Management and Algorithms
  • Digital Games and Media
  • Recommender Systems and Techniques
  • Innovative Approaches in Technology and Social Development
  • Human Mobility and Location-Based Analysis

Utrecht University
2018-2024

Open University of Cyprus
2021

Institut national de recherche en informatique et en automatique
2015-2019

Luxembourg Institute of Science and Technology
2015-2018

Centre Inria de l'Université de Lorraine
2015

Tudor Place
2011-2014

Association for Computing Machinery
2013

National Technical University of Athens
2006-2011

Public Works
2011

National and Kapodistrian University of Athens
2010

When personalities clash, teams operate less effectively. Personality differences affect face-to-face collaboration and may lower trust in virtual teams. For relatively short-lived assignments, like those of online crowdsourcing, personality matching could provide a simple, scalable strategy for effective team formation. However, it is not clear how (or if) teamwork this novel context where the workforce more transient diverse. This study examines compatibility crowd affects performance...

10.1145/2818048.2819979 article EN 2016-02-27

Abstract The increasing popularity of e‐learning has created a need for accurate student achievement prediction mechanisms, allowing instructors to improve the efficiency their courses by addressing specific needs students at an early stage. In this paper, method applied 10‐week introductory level course is presented. proposed uses multiple feed‐forward neural networks dynamically predict students' final and cluster them in two virtual groups, according performance. Multiple‐choice test...

10.1002/asi.20970 article EN Journal of the American Society for Information Science and Technology 2008-10-30

In recent years, the notion of Metaverse has become focus a growing body work in industry. However, there is no consensus on conceptualization academia. To date, much this attention revolved around technological challenges. what notably missing from these discussions consideration human factors and social aspects that are considered more critical challenges within HCI. The aims SIG as follows: Firstly, to provide platform for researchers practitioners engage with various definitions ways...

10.1145/3491101.3516399 article EN CHI Conference on Human Factors in Computing Systems Extended Abstracts 2022-04-27

Abstract Text-to-image models are enabling efficient design space exploration, rapidly generating images from text prompts. However, many generative AI tools imperfect for product applications as they not built the goals and requirements of design. The unclear link between input image output further complicates their application. This work empirically investigates exploration strategies that can successfully yield feasible, novel aesthetic – three common in Specifically, users’ actions...

10.1017/dsj.2024.51 article EN cc-by-nc-nd Design Science 2025-01-01

The wiki technology is increasingly being used in corporate environments to facilitate a broad range of tasks. This survey examines the use wikis on variety organisational tasks that include codification explicit and tacit knowledge formulation communities practice, as well more specific processes such collaborative information systems development, interactions enterprise with third parties, management activities response crisis situations. For each one aforementioned functions, study...

10.1080/17517575.2011.580008 article EN Enterprise Information Systems 2011-06-16

Online crowds have the potential to do more complex work in teams, rather than as individuals. However, at such a large scale, team formation can be difficult coordinate. (How) we rely on crowd itself organize into effective teams? Our research explores strategy for "team dating", self-organized approach where workers try out and rate different candidate partners. In two online experiments, find that dating affects way people select partners how they evaluate them. We use these results draw...

10.1145/2851581.2892421 article EN 2016-05-06

Forming work teams involves matching people with complementary skills and personalities, but requires obtaining such data a priori. We introduce team dating, where interact on brief tasks before working dedicated partner for longer, more complex tasks. studied dating through two online experiments. In Experiment 1, workers from crowd platform independently wrote an ad slogan, discussed it three consecutive evaluated their date interactions. They then selected preferred teammates list showing...

10.1145/2998181.2998322 article EN 2017-02-14

Expressions of territoriality have been positioned as one the main reasons users alter their behaviors and perceptions spatiality sociality while engaging with location-based social networks (LBSN). Despite potential for this interplay to further our understanding LBSN usage in context identity, very little work has actually done toward this. Addressing gap literature is chief aims article. Drawing on an original 6-week study 42 participants utilizing a bespoke entitled “GeoMoments,”...

10.1145/3364997 article EN ACM Transactions on Computer-Human Interaction 2020-01-22

Collective intelligence (CI) is an emerging research field that seeks to merge human and machine intelligence, with aim achieve results unattainable by either one of these entities alone. CI systems may significantly vary in nature, from collaborative systems, like open source software development communities, competitive ones, problem-solving companies benefit the competition among participating user teams identify solutions various R&D problems. The advantages earn together fact they share...

10.4304/jetwi.3.3.217-226 article EN Journal of Emerging Technologies in Web Intelligence 2011-08-01

A growing range of public, private and civic organisations, from Unicef through Nesta to NHS, now run units known as “innovation labs”. The hopeful assumption they share is that labs, by building on openness among other features, can generate promising solutions grand challenges systemic nature. Despite their seeming proliferation popularisation, the underlying innovation principles embodied labs have, however, received scant academic attention. This a missed opportunity, because appear...

10.24840/2183-0606_004.004_0006 article EN cc-by Journal of Innovation Management 2017-03-09

We introduce the problem of Task Assignment and Sequencing, which models online optimization in expert crowdsourcing settings that involve non-decomposable macrotasks. Non-decomposition is a property certain types complex problems, like formulation an R&D approach or definition research methodology, cannot be handled through "divide-and-conquer" typically used microtask crowdsourcing. In contrast to splitting macrotask multiple microtasks allocating them several workers parallel, our...

10.1145/3140459 article EN ACM Transactions on Social Computing 2018-01-10

This paper details and discusses experimental results obtained towards personalizing a museum visit through personal mobile guide, using an approach relying on users' cognitive style, gaming, social networks, recommendations. It describes the personalization system, which relies Facebook game to infer visiting style interests, recommendation algorithm offering sequences of points interests visit. A qualitative quantitative analysis experiment conducted in is given, first conclusions...

10.4018/ijvcsn.2015040101 article EN International Journal of Virtual Communities and Social Networking 2015-04-01

Energy information systems, which manage energy consumptions over internet, have been evolving the past decade and can be considered as a part of specialised sequential decision process, regarding provision personalised services to community. The aim this study is develop present an innovative decision-support system cloud computing software methodology that brings together consultants, consumers, procedures modern web interoperable technologies. authors propose web-based knowledge system,...

10.1049/iet-sen.2010.0008 article EN IET Software 2011-10-05

10.1007/s10472-014-9403-0 article EN Annals of Mathematics and Artificial Intelligence 2014-02-22

We discuss the user study of a mobile cultural heritage game designed to stimulate reflection about city's history. Aided by location-aware technology, fosters serendipitous discovery points interest, historical images and stories, whilst players wander city. This exploration differs from typical precalculated path recommendations used other location-based applications. It triggers past that is as unique its visitors. Ours one first studies attempt an understanding effects urban historic...

10.1145/3297716 article EN Journal on Computing and Cultural Heritage 2019-02-20

Investigation of students' perceptions and opinions on the use generative artificial intelligence (GenAI) in education is a topic gaining much interest. Studies addressing this are typically conducted with large heterogeneous groups, at one moment time. However, how students perceive GenAI tools can potentially depend many factors, including their background knowledge, familiarity tools, learning goals policies courses they taking.In study we explore following computing for...

10.1145/3699538.3699546 article EN 2024-11-12

E-learning environments have met rapid technological advancements in the previous years. Nevertheless, current e-learning techniques do not adequately support student interaction and collaboration, resulting decreased progress motivation. In this paper, a blended technique combining collaborative forums wiki technologies is proposed. Through forums, students discuss course related topics assigned by tutors to produce new educational material. This material then stored platform for further...

10.1145/1389586.1389657 article EN 2008-07-16

A crowdsourced stream processing system (CSP) is a that incorporates tasks in the of data stream. This can be seen as enabling crowdsourcing work to applied on sample large-scale at high speed, or equivalently, employ human intelligence. It also leads substantial expansion capabilities systems. Engineering CSP requires combination and machine computation elements. From general systems theory perspective, this means taking into account inherited well emerging properties from both these In...

10.48550/arxiv.1310.5463 preprint EN other-oa arXiv (Cornell University) 2013-01-01

A growing range of public, private and civic organisations, from Unicef through Nesta to NHS, now run units known as "innovation labs". The hopeful assumption they share is that labs, by building on openness among other features, can generate promising solutions grand challenges systemic nature. Despite their seeming proliferation popularisation, the underlying innovation principles embodied labs have, however, received scant academic attention. This a missed opportunity, because appear...

10.2139/ssrn.2556692 article EN SSRN Electronic Journal 2015-01-01
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