Affective and cognitive searching behavior of novice end-users of a full-text database
Journal of the American Society for Information Science - Special issue on full-text retrieval
The media equation: how people treat computers, television, and new media like real people and places
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning the Internet and the structure of information behavior
Journal of the American Society for Information Science
Users' interaction with World Wide Web resources: an exploratory study using a holistic approach
Information Processing and Management: an International Journal
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Listen to your heart rate: counting the cost of media quality
Affective interactions
Future interfaces: social and emotional
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Journal of the American Society for Information Science and Technology
Differences and similarities in information seeking: children and adults as web users
Information Processing and Management: an International Journal - Issues of context in information retrieval
Engineering a multi-purpose test collection for web retrieval experiments
Information Processing and Management: an International Journal
Combining eye movements and collaborative filtering for proactive information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Affect-based indexing and retrieval of films
Proceedings of the 13th annual ACM international conference on Multimedia
Affective multimodal human-computer interaction
Proceedings of the 13th annual ACM international conference on Multimedia
Proceedings of the 11th international conference on Intelligent user interfaces
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Memory-Based Language Processing (Studies in Natural Language Processing)
Memory-Based Language Processing (Studies in Natural Language Processing)
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Information Processing and Management: an International Journal
Academic users' interactions with ScienceDirect in search tasks: Affective and cognitive behaviors
Information Processing and Management: an International Journal
Facial Expression Recognition: A Fully Integrated Approach
ICIAPW '07 Proceedings of the 14th International Conference of Image Analysis and Processing - Workshops
A News Video Retrieval Framework for the Study of Implicit Relevance Feedback
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
MKLab interactive video retrieval system
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Affective feedback: an investigation into the role of emotions in the information seeking process
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Boredom, engagement and anxiety as indicators for adaptation to difficulty in games
Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era
Affective ranking of movie scenes using physiological signals and content analysis
MS '08 Proceedings of the 2nd ACM workshop on Multimedia semantics
Biometric Responses to Music-Rich Segments in Films: The CDVPlex
CBMI '09 Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing
Proceedings of the ACM International Conference on Image and Video Retrieval
Implicit human-centered tagging
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Implicit relevance feedback from eye movements
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Investigating biometric response for information retrieval applications
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Affective video content representation and modeling
IEEE Transactions on Multimedia
A comparison of general vs personalised affective models for the prediction of topical relevance
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal
Biometric response as a source of query independent scoring in lifelog retrieval
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Fusion of facial expressions and EEG for implicit affective tagging
Image and Vision Computing
Understanding relevance: an fMRI study
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
On cognition, emotion, and interaction aspects of search tasks with different search intentions
Proceedings of the 22nd international conference on World Wide Web
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Multimedia search systems face a number of challenges, emanating mainly from the semantic gap problem. Implicit feedback is considered a useful technique in addressing many of the semantic-related issues. By analysing implicit feedback information search systems can tailor the search criteria to address more effectively users' information needs. In this paper we examine whether we could employ affective feedback as an implicit source of evidence, through the aggregation of information from various sensory channels. These channels range between facial expressions to neuro-physiological signals and are regarded as indicative of the user's affective states. The end-goal is to model user affective responses and predict with reasonable accuracy the topical relevance of information items without the help of explicit judgements. For modelling relevance we extract a set of features from the acquired signals and apply different classification techniques, such as Support Vector Machines and K-Nearest Neighbours. The results of our evaluation suggest that the prediction of topical relevance, using the above approach, is feasible and, to a certain extent, implicit feedback models can benefit from incorporating such affective features.