Keywords:
- AI competencies
- AI Literacy
- AI skills
- Alcohol
- Alcohol Consumption
- alcohol use
- Ambiance
- App-based survey
- Archaeology
- Assessment reactivity
- attractiveness
- attrition
- audio-visual feature extraction
- behavior
- BERT
- Big-Five
- booktube
- Casual Drinking
- Characterizing small groups
- Citizen Sourcing
- classifiers
- clustering
- cohesion
- collective classification
- Computational linguistics
- computer algorithm
- computer vision
- Convolutional Neural Networks
- corpus
- Critical Discourse Analysis
- Crowdsourcing
- Cultural heritage
- data collection
- Data Literacy
- deep learning
- depression detection
- developing country
- Differential Privacy
- digital biomarker
- Dimensionality reduction
- Distribution Shift
- diversity
- domain adaptation
- Drink size
- Drinking behaviours
- drinking context
- Eating Behavior
- Ecological momentary assessment
- Ecological momentary assessment (EMA)
- Emergent leadership
- Emerging power hierarchies
- Energy Expenditure Estimation
- Epigraphy
- explainability
- Facial & Body landmarks
- first impressions
- Flickr groups LDA
- Flickr PLSA topic-model communities
- Food Consumption
- food diaries
- foursquare
- generalization
- Generative Ai
- Generative AI Literacy
- Gestures
- Graph Convolutional Networks
- Graph Neural Networks
- Graph Representation Learning
- group interaction
- Group performance.
- health
- Heavy Drinking
- hieroglyph
- hirability
- Histogram of orientation
- Home Spaces
- HOOSC
- human mobility
- image retrieval
- impressions
- indexing
- information visualization
- Inter-pretable Models
- interaction
- Interview
- job interviews
- keyframe extraction
- language
- Language Production
- language style
- late-life depression
- Lausanne Data Collection Campaign
- LIWC
- Local News
- location-based social networks
- loneliness
- Long-tail data distribution
- machine learning
- Maya civilization
- Maya culture
- Maya glyph
- maya glyphs
- meal
- meetings
- Mental Lexicon
- mHealth
- Mobile And Wearable Sensing
- Mobile Crowdsensing
- mobile crowdsourcing
- mobile mining
- mobile phone data
- mobile sensing
- mobile survey
- mobility models
- model adaptation
- mood
- motion capture
- multimodal cues
- Multimodal interaction
- Multimodal Sensing
- narcissism
- National News
- Natural conversation
- natural language porcessing
- neural networks
- Nightlife
- nonverbal be- havior
- Nonverbal behavior
- online video
- passive sensing
- perceived dominance
- performance
- Personality
- personality impressions
- Personality traits inference
- personalized service
- pervasive computing
- Physical Activity
- Picture annotation
- place extraction
- place labeling
- place visit
- prediction
- Prompt engineering
- psychological correlates
- Recruitment method
- reliability analysis
- Remote meetings
- Response burden
- review
- routines
- self-training
- sensing
- Sentiment Analysis
- shape classification
- Shape descriptor
- shape recognition
- Shape retrieval
- shot boundary detection
- sketch
- small group interactions
- Smartphone application
- smartphone data
- smartphone sensing
- Smartphones
- Snack and Meal
- social computing
- social context
- social media
- social networks
- social psychology
- Social video
- sparse autoencoder
- sparse coding
- spatial data
- spectral shot clustering
- Speech activity
- Standard drink
- stress
- support
- survey
- Switzerland
- Task-competence
- telemonitoring
- Text classification
- thin slices
- topic modeling
- transfer learning
- Ubiquitous Computing
- unsupervised methods
- urban awareness
- Urban Computing
- Urban Crowdsourcing
- usability
- user aggregated behavior
- user behavior
- user modeling
- user satisfaction
- user study
- verbal analysis
- Verbal content
- video
- Video annotation
- video resumes
- video structuring
- video-sharing
- Visual similarity
- vlog
- vlogging
- vlogs
- wearable sensing
- well being
- well-being
- young adults
- Youth
- youtube
- YouTubeYouTube
Publications of Daniel Gatica-Perez sorted by first author
A
| Multimodal Integration for Meeting Group Action Segmentation and Recognition, , , , , and , in: MLMI, 2005 |
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| Multimodal Integration for Meeting Group Action Segmentation and Recognition, , , , , and , Idiap-RR-31-2005 |
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| Framing the News: From Human Perception to Large Language Model Inferences, and , in: International Conference on Multimedia Retrieval (ICMR '23), June 12--15, 2023, Thessaloniki, Greece, 2023 |
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| Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework, and , in: 2nd ACM International Workshop on Multimedia AI against Disinformation (MAD '23), June 12, 2023, Thessaloniki, Greece, 2023 |
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| How Did Europe’s Press Cover Covid-19 Vaccination News? A Five-Country Analysis, and , in: MAD '22: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, 2022 |
[DOI] [URL] |
| Human Interest or Conflict? Leveraging LLMs for Automated Framing Analysis in TV Shows, , and , in: ACM International Conference on Interactive Media Experiences, 2024 |
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| Generative AI Literacy: Twelve Defining Competencies, , and , in: ACM Digital Government: Research and Practice, 2024 |
[DOI] [URL] |
| Broadcasting oneself: Visual Discovery of Vlogging Styles, , and , in: IEEE Transactions on Multimedia, 16(1):201-215, 2014 |
[DOI] |
| Cross-Domain Personality Prediction: From Video Blogs to Small Group Meetings, and , in: 15th ACM International Conference on Multimodal Interaction, 2013 |
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| One of a Kind: Inferring Personality Impressions in Meetings, and , in: 15th ACM International Conference on Multimodal Interaction, 2013 |
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| Fusing Audio-Visual Nonverbal Cues to Detect Dominant People in Conversations, and , Idiap-RR-17-2010 |
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| Fusing Audio-Visual Nonverbal Cues to Detect Dominant People in Conversations, and , in: 20th International Conference on Pattern Recognition, Istanbul, Turkey, 2010, Istanbul, Turkey, 2010 |
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| Analysis of Group Conversations: Modeling Social Verticality, and , in: Computer Analysis of Human Behavior, pages 293-322, Springer London, 2011 |
| A Multimodal Corpus for Studying Dominance in Small Group Conversations, , and , in: LREC workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality, Malta, May 2010, 2010 |
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| Anomaly detection in elderly daily behavior in ambient sensing environments, , , and , in: Proceedings of the 7th Int. Workshop on Human Behavior Understanding, ACM Multimedia, 2016, Amsterdam, Netherlands, 2016 |
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| Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK, , , , , , , , , , , , , , , , , , , , , and , in: Proceedings of the 2023 ACM CHI Conference on Human Factors in Computing Systems (CHI), Association for Computing Machinery, 2023 |
[DOI] |
B
| Automatic identification of storytelling responses to past-behavior interview questions via machine learning, , , , , and , in: International Journal of Selection and Assessment, 2023 |
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| Venues in Social Media: Examining Ambiance Perception Through Scene Semantics, , and , in: Proceedings of the 25th ACM International Conference on Multimedia, ACM, 2017, 2017 |
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| You Are Known by How You Vlog: Personality Impressions and Nonverbal Behavior in YouTube, , and , in: Proceedings of AAAI International Conference on Weblogs and Social Media, Barcelona, 2011 |
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| Mining Crowdsourced First Impressions in Online Social Video, and , in: IEEE Transactions on Multimedia, 16(7), 2014 |
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| The Good, the Bad, and the Angry: Analyzing Crowdsourced Impressions of Vloggers, and , in: Proceedings of AAAI International Conference on Weblogs and Social Media, 2012 |
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| The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs, and , in: IEEE Transactions on Multimedia, 2012 |
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| Call me Guru: user categories and large-scale behavior in YouTube, and , in: Social Media Computing, Springer, 2011 |
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| VlogSense: Conversational Behavior and Social Attention in YouTube, and , in: Transactions on Multimedia Computing, Communications and Applications, 2011 |
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| Voices of Vlogging, and , in: Proceedings of AAAI International Conference on Weblogs and Social Media, Washington DC, 2010 |
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| Vlogcast Yourself: Nonverbal Behavior and Attention in Social Media, and , in: Proceedings International Conference on Multimodal Interfaces (ICMI-MLMI), 2010 |
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| Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior, and , in: Proceedings of the 17th ACM International Conference on Multimedia, ACM, 2009 |
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| Hi YouTube! Personality Impressions and Verbal Content in Social Video, , , and , in: 15th ACM International Conference on Multimodal Interaction, Sydney, Australia, ACM, 2013, 2013 |
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| Bites'n'Bits: Inferring Eating Behavior from Contextual Mobile Data, , , and , in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT), 1(4):125-157, 2017 |
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| FaceTube: predicting personality from facial expressions of emotion in online conversational video, , and , in: Proceedings International Conference on Multimodal Interfaces (ICMI-MLMI), 2012 |
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| People-Centric Mobile Sensing with a Pragmatic Twist: from Behavioral Data Points to Active User Involvement, , and , in: International Conference on Human-Computer Interaction with Mobile Devices and Services, 2011 |
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| Inferring competitive role patterns in reality TV show through nonverbal analysis, and , in: Multimedia Tools and Applications, Special issue on Social Media, 2010 |
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| YOU ARE FIRED! NONVERBAL ROLE ANALYSIS IN COMPETITIVE MEETINGS, , and , in: Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP,',','), Taiwan., 2009 |
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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| Your Day in Your Pocket: Complex Activity Recognition from Smartphone Accelerometers, , and , in: EAI Pervasive Health, 2022 |
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