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
- 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
- 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
- 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
- Task-competence
- telemonitoring
- Text classification
- thin slices
- 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 title
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| How Do You Like Your Virtual Agent?: Human-Agent Interaction Experience through Nonverbal Features and Personality Traits, , and , in: Human Behavior Understanding, pages 1-15, Springer, 2014 |
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| How May I Help You? Behavior and Impressions in Hospitality Service Encounters, , and , in: Proceddings of 19th ACM International Conference on Multimodal Interaction, 2017 |
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| How to Tell Ancient Signs Apart? Recognizing and Visualizing Maya Glyphs with CNNs, , and , in: ACM Journal on Computing and Cultural Heritage (JOCCH), 11(4):20, 2018 |
[DOI] |
| Human Interaction Discovery in Smartphone Proximity Networks, and , in: Personal and Ubiquitous Computing, 2012 |
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| 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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| Human-centered Computing: Toward a Human Revolution, , , and , in: IEEE Computer, 40(5), 2007 |
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| Human-Centered Computing: Toward a Human Revolution, , , and , Idiap-RR-57-2007 |
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| I would hire you in a minute: Thin slices of nonverbal behavior in job interviews, and , in: Proceedings of the ACM International Conference on Multimodal Interaction (ICMI), pages 51-58, 2015 |
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| Identifying Dominant People in Meetings from Audio-Visual Sensors, and , Idiap-RR-65-2008 |
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| Identifying Dominant People in Meetings from Audio-Visual Sensors, and , in: International Conference on Automatic Face and Gesture Recognition, Amsterdam, The Netherlands, 2008 |
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| Identifying Emergent Leadership in Small Groups using Nonverbal Communicative Cues, , , and , in: Proc. ICMI-MLMI '10 International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, Beijing, ACM New York, NY, USA ©2010, 2010 |
[DOI] |
| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| In the Mood for Vlog: Multimodal Inference in Conversational Social Video, , , and , in: ACM Transactions on Interactive Intelligent Systems, 5(2), 2015 |
[DOI] |
| 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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| Inferring Mood in Ubiquitous Conversational Video, , , , , and , in: 12th International Conference on Mobile and Ubiquitous Multimedia, Luleå, Sweden, ACM Press, 2013 |
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| Inferring social activities with mobile sensor networks, , , , and , in: 15th ACM International Conference on Multimodal Interaction, 2013 |
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| Inferring truth from multiple annotators for social interaction analysis, , and , in: Neural Information Processing Systems (NIPS) Workshop on Modeling Human Communication Dynamics (HCD), pages 4, 2011 |
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| InnerView: Learning Place Ambiance from Social Media Images, , and , in: Proceedings of the 24th ACM International Conference on Multimedia, ACM, 2016 |
[DOI] |
| Insiders and Outsiders: Comparing Urban Impressions between Population Groups, , and , in: International Conference on Multimedia Retrieval, ACM, 2017 |
[DOI] |
| Integrating co-occurrence and spatial contexts on patch-based scene segmentation, , , and , in: Beyond Patches Workshop, in conjunction with CVPR, 2006 |
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| Integrating co-occurrence and spatial contexts on patch-based scene segmentation, , , and , Idiap-RR-30-2005 |
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| International Conference on Mobile and Ubiquitous Multimedia, , and , in: Happy and Agreeable? Multi-Label Classification of Impressions in Social Video, Linz, Austria, pages 109-120, ACM, 2015 |
[DOI] [URL] |
| Investigating Automatic Dominance Estimation in Groups From Visual Attention and Speaking Activity, , , , and , in: International Conference on Multi-modal Interfaces, 2008 |
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| Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations, , , and , Idiap-RR-12-2009 |
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| Investigating Privacy-Sensitive Features for Speech Detection in Multiparty Conversations, , , and , in: Proceedings of Interspeech 2009, 2009 |
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| Is That a Jaguar? Segmenting Ancient Maya Glyphs via Crowdsourcing, , and , in: Proc. ACM Int. Workshop on Crowdsourcing for Multimedia, Orlando, pages 37-40, ACM New York, 2014 |
[DOI] |
| ISWC 2013--Wearables are Here to Stay, , , and , in: IEEE Pervasive Computing, 13(1):14-18, 2014 |
[DOI] |
K
| Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores, , , and , in: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023 |
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| Kodak Moments and Flickr Diamonds: How Users Shape Large-scale Media, , and , Idiap-RR-20-2010 |
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| Kodak Moments and Flickr Diamonds: How Users Shape Large-scale Media, , and , in: Proc. of the 18th Intl. Conf. on Multimedia, Firenze, Italy, 2010 |
L
| Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments, , and , in: Proc. ACM Conference on Human Factors in Computing Systems, 2024 |
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| Learning and Predicting Multimodal Daily Life Patterns from Cell Phones, and , in: ICMI-MLMI, 2009 |
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| Learning influence among interacting Markov chains, , , and , in: NIPS, 2005 |
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| Learning influence among interacting Markov chains, , , and , Idiap-RR-48-2005 |
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| Learning Urban Nightlife Routines from Mobile Data, , and , in: Proc. Int. Conf. on Mobile and Ubiquitous Multimedia, Essen, Germany, 2020 |
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