19 papers:
- CHI-2015-LeeHCK #game studies #video #visual notation
- VIZMO Game Browser: Accessing Video Games by Visual Style and Mood (JHL, S(H, HC, YSK), pp. 149–152.
- CSCW-2015-CiampagliaT #lightweight #named #wiki
- MoodBar: Increasing New User Retention in Wikipedia through Lightweight Socialization (GLC, DT), pp. 734–742.
- CSCW-2015-GallacherOBRCHM #interactive #lightweight
- Mood Squeezer: Lightening up the Workplace through Playful and Lightweight Interactions (SG, JO, JB, YR, LC, DH, PM), pp. 891–902.
- CSCW-2015-SnyderMCCSAG #named #social
- MoodLight: Exploring Personal and Social Implications of Ambient Display of Biosensor Data (JS, MM, JTC, PFC, ES, SA, GG), pp. 143–153.
- CSCW-2014-MarkICJ #facebook
- Capturing the mood: facebook and face-to-face encounters in the workplace (GM, STI, MC, PJ), pp. 1082–1094.
- DUXU-DP-2014-ChangDCCR #experience
- Mood Boards as a Universal Tool for Investigating Emotional Experience (HMC, MD, AC, WC, MR), pp. 220–231.
- CIKM-2014-LiWH #twitter #what
- What a Nasty Day: Exploring Mood-Weather Relationship from Twitter (JL, XW, EHH), pp. 1309–1318.
- MSR-2013-DullemondGSD #distributed #microblog #problem
- Fixing the “out of sight out of mind” problem: one year of mood-based microblogging in a distributed software team (KD, BvG, MADS, AvD), pp. 267–276.
- HCI-AMTE-2013-GuWYL #design #interactive #using
- A Color Schemer for Webpage Design Using Interactive Mood Board (ZG, ZW, JY, JL), pp. 555–564.
- HIMI-D-2013-LoiaconoL #comprehension #congruence #image
- Understanding the Impact Congruent Images and News Articles Have on Mood and Attitude (ETL, ML), pp. 628–634.
- SIGIR-2013-YamamotoN #classification #music #video
- Leveraging viewer comments for mood classification of music video clips (TY, SN), pp. 797–800.
- ICPR-2012-MoriyamaAS #analysis #using
- Face analysis of aggressive moods in automobile driving using mutual subspace method (TM, KA, NS), pp. 2898–2901.
- KDD-2012-ZhaoDWX #analysis #named #sentiment #twitter
- MoodLens: an emoticon-based sentiment analysis system for chinese tweets (JZ, LD, JW, KX), pp. 1528–1531.
- SAC-2012-EgginkAB #case study #classification
- A pilot study for mood-based classification of TV programmes (JE, PA, DB), pp. 918–922.
- CHI-2011-MatthewsD #mobile #using
- In the mood: engaging teenagers in psychotherapy using mobile phones (MM, GD), pp. 2947–2956.
- ICEIS-J-2009-BogdanovychBS #3d
- Recognizing Customers’ Mood in 3D Shopping Malls Based on the Trajectories of Their Avatars (AB, MB, SJS), pp. 745–757.
- HIMI-MTT-2007-OkaMS #information management
- An Information Filtering Method Based on User’s Moods, Situations, and Preferences (MO, HM, MS), pp. 715–719.
- SIGIR-2003-FengZP #detection #music #retrieval
- Popular music retrieval by detecting mood (YF, YZ, YP), pp. 375–376.
- TOOLS-EUROPE-1999-MayerH #analysis #metric #object-oriented
- Measuring OO Systems: A Critical Analysis of the MOOD Metrics (TM, TH), pp. 108–117.