17 papers:
CHI-2015-StraitVFSU #elicitation #interactive- Too Much Humanness for Human-Robot Interaction: Exposure to Highly Humanlike Robots Elicits Aversive Responding in Observers (MS, LV, VF, MS, HLU), pp. 3593–3602.
SAC-2014-OmatuY #classification #smell #using- Smell classification using weakly responding data (SO, MY), pp. 213–214.
OCSC-2013-Huang13a #community #facebook- Motivations of Facebook Users for Responding to Posts on a Community Page (FHH), pp. 33–39.
SIGIR-2013-JiangJH #fault #how #query- How do users respond to voice input errors?: lexical and phonetic query reformulation in voice search (JJ, WJ, DH), pp. 143–152.
- SAC-2011-RamanathanRSXX #architecture #evolution
- Sense-respond cloud mediator architecture for services evolution (JR, RR, NS, ZX, YX), pp. 162–169.
- HCI-AUII-2009-DMelloCFG
- Responding to Learners’ Cognitive-Affective States with Supportive and Shakeup Dialogues (SKD, SDC, KF, ACG), pp. 595–604.
- HCI-AUII-2009-WoolfDACBM #student
- Recognizing and Responding to Student Affect (BPW, TD, IA, DGC, WB, KM), pp. 713–722.
SEKE-2008-HondaCD #mobile #named- Mobile-FIRST: a Mobile Agent Based First Responder System (JH, HHC, DD), pp. 565–568.
- CHI-2007-ToupsK #coordination #design #education
- Implicit coordination in firefighting practice: design implications for teaching fire emergency responders (ZOT, AK), pp. 707–716.
EDOC-2006-KutvonenMR #challenge #social- From trading to eCommunity population: Responding to social and contractual challenges (LK, JM, SR), pp. 199–210.
ECOOP-2006-ChinM #interactive #named- Responders: Language Support for Interactive Applications (BC, TDM), pp. 255–278.
SIGMOD-2004-GargRC #monitoring #named #query #web- Web-CAM: Monitoring the dynamic Web to respond to Continual Queries (SG, KR, SC), pp. 927–928.
- SEKE-2004-JengCCSAZ #grid
- Sense-and-Respond Grid (JJJ, HC, JYC, JS, LA, LZ), pp. 431–434.
- SAC-2003-JengCC #named
- COSAR: Commitment-Oriented “Sense and Respond” System for Microelectronic Manufacturing (JJJ, HC, JYC), pp. 637–644.
ICSE-2002-ElssamadisyS #programming #smell- Recognizing and responding to “bad smells” in extreme programming (AE, GS), pp. 617–622.
- CHI-2001-TsukaharaW
- Responding to subtle, fleeting changes in the user’s internal state (WT, NW), pp. 77–84.
- CHI-1989-Moore
- Responding to “HUH?”: answering vaguely articulated follow-up questions (JDM), pp. 91–96.
