BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
base (5)
face (3)
analysi (3)
use (3)
interact (2)

Stem mood$ (all stems)

19 papers:

CHICHI-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.
CSCWCSCW-2015-CiampagliaT #lightweight #named #wiki
MoodBar: Increasing New User Retention in Wikipedia through Lightweight Socialization (GLC, DT), pp. 734–742.
CSCWCSCW-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.
CSCWCSCW-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.
CSCWCSCW-2014-MarkICJ #facebook
Capturing the mood: facebook and face-to-face encounters in the workplace (GM, STI, MC, PJ), pp. 1082–1094.
HCIDUXU-DP-2014-ChangDCCR #experience
Mood Boards as a Universal Tool for Investigating Emotional Experience (HMC, MD, AC, WC, MR), pp. 220–231.
CIKMCIKM-2014-LiWH #twitter #what
What a Nasty Day: Exploring Mood-Weather Relationship from Twitter (JL, XW, EHH), pp. 1309–1318.
MSRMSR-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.
HCIHCI-AMTE-2013-GuWYL #design #interactive #using
A Color Schemer for Webpage Design Using Interactive Mood Board (ZG, ZW, JY, JL), pp. 555–564.
HCIHIMI-D-2013-LoiaconoL #comprehension #congruence #image
Understanding the Impact Congruent Images and News Articles Have on Mood and Attitude (ETL, ML), pp. 628–634.
SIGIRSIGIR-2013-YamamotoN #classification #music #video
Leveraging viewer comments for mood classification of music video clips (TY, SN), pp. 797–800.
ICPRICPR-2012-MoriyamaAS #analysis #using
Face analysis of aggressive moods in automobile driving using mutual subspace method (TM, KA, NS), pp. 2898–2901.
KDDKDD-2012-ZhaoDWX #analysis #named #sentiment #twitter
MoodLens: an emoticon-based sentiment analysis system for chinese tweets (JZ, LD, JW, KX), pp. 1528–1531.
SACSAC-2012-EgginkAB #case study #classification
A pilot study for mood-based classification of TV programmes (JE, PA, DB), pp. 918–922.
CHICHI-2011-MatthewsD #mobile #using
In the mood: engaging teenagers in psychotherapy using mobile phones (MM, GD), pp. 2947–2956.
ICEISICEIS-J-2009-BogdanovychBS #3d
Recognizing Customers’ Mood in 3D Shopping Malls Based on the Trajectories of Their Avatars (AB, MB, SJS), pp. 745–757.
HCIHIMI-MTT-2007-OkaMS #information management
An Information Filtering Method Based on User’s Moods, Situations, and Preferences (MO, HM, MS), pp. 715–719.
SIGIRSIGIR-2003-FengZP #detection #music #retrieval
Popular music retrieval by detecting mood (YF, YZ, YP), pp. 375–376.
TOOLSTOOLS-EUROPE-1999-MayerH #analysis #metric #object-oriented
Measuring OO Systems: A Critical Analysis of the MOOD Metrics (TM, TH), pp. 108–117.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.