What is he best known for?
The fields of study he is best known for:
- The Internet
- Operating system
- Artificial intelligence
His primary scientific interests are in Information system, Human–computer interaction, Ubiquitous computing, Multimedia and World Wide Web.
The Information system study combines topics in areas such as Information needs and Media studies.
His Human–computer interaction study combines topics in areas such as Context awareness, Relevance, Mobile computing and User interface.
His research in Ubiquitous computing intersects with topics in Computer security, Information and Communications Technology, Urban computing and Data science.
His biological study spans a wide range of topics, including Psychological intervention, Android, Software deployment and Upload.
When carried out as part of a general World Wide Web research project, his work on Crowdsourcing is frequently linked to work in Cohesion and Specific-information, therefore connecting diverse disciplines of study.
His most cited work include:
- An Assessment of Intrinsic and Extrinsic Motivation on Task Performance in Crowdsourcing Markets (217 citations)
- Instrumenting the city: developing methods for observing and understanding the digital cityscape (202 citations)
- AWARE: Mobile Context Instrumentation Framework (182 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Human–computer interaction, Ubiquitous computing, Information system, World Wide Web and Internet privacy.
He has included themes like Mobile interaction, Mobile device, User interface, Bluetooth and Set in his Human–computer interaction study.
Vassilis Kostakos combines subjects such as Instrumentation and Mobile computing with his study of Mobile device.
Vassilis Kostakos studied Ubiquitous computing and Data science that intersect with Variety.
His is involved in several facets of World Wide Web study, as is seen by his studies on Crowdsourcing and Social media.
He has researched Crowdsourcing in several fields, including Quality, Situated and Knowledge management.
He most often published in these fields:
- Human–computer interaction (22.81%)
- Ubiquitous computing (21.40%)
- Information system (14.39%)
What were the highlights of his more recent work (between 2017-2021)?
- Human–computer interaction (22.81%)
- Crowdsourcing (11.23%)
- Ubiquitous computing (21.40%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Human–computer interaction, Crowdsourcing, Ubiquitous computing, Cognitive psychology and Wearable computer.
His work deals with themes such as Affect, Semantic analysis, Set, Variety and Focus, which intersect with Human–computer interaction.
His Ubiquitous computing research is multidisciplinary, incorporating perspectives in Cognitive science, Mobile device and Data science.
His studies deal with areas such as Data quality, Smartwatch, Mobile computing and Public displays as well as Data science.
His Wearable computer research is multidisciplinary, relying on both Smart living, Information system and Everyday life.
The concepts of his Information system study are interwoven with issues in Experience sampling method and Predictive power.
Between 2017 and 2021, his most popular works were:
- Multimodal Data as a means to understand the Learning Experience (33 citations)
- Smartphone App Usage Prediction Using Points of Interest (32 citations)
- Crowdsourcing Perceptions of Fair Predictors for Machine Learning: A Recidivism Case Study (21 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Operating system
- Artificial intelligence
Vassilis Kostakos spends much of his time researching Human–computer interaction, Data science, Variety, Set and Mobile interaction.
His Human–computer interaction study combines topics in areas such as Wearable computer and Semantic analysis.
His work carried out in the field of Data science brings together such families of science as Use case, Elderly care, Information system and Process.
His research integrates issues of Feature selection, Multimodal data and Word error rate in his study of Variety.
His Set course of study focuses on Metacognition and Wearable technology.
The study incorporates disciplines such as Cognitive psychology, Target acquisition and Versa in addition to Mobile interaction.
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