Stem attent$ (all stems)

109 papers:

WICSA-2015-NaabBLHEMCK #architecture #case study #design #ecosystem #experience #mobile #prototype #scalability #why

Why Data Needs more Attention in Architecture Design — Experiences from Prototyping a Large-Scale Mobile App Ecosystem (MN, SB, TL, SH, AE, DM, RC, FK), pp. 75–84.

CHI-2015-KwonJBSBKS #interactive #named

FugaciousFilm: Exploring Attentive Interaction with Ephemeral Material (HK, SJ, SB, SAS, PDB, BK, HS), pp. 1285–1294.

CHI-2015-MariakakisGAPW #mobile #named #using

SwitchBack: Using Focus and Saccade Tracking to Guide Users’ Attention for Mobile Task Resumption (AM, MG, MTIA, SNP, JOW), pp. 2953–2962.

CHI-2015-NeateJE

Mediating Attention for Second Screen Companion Content (TN, MJ, ME), pp. 3103–3106.

HCI-IT-2015-CravenSGNSY #game studies #video

Evaluating a Public Display Installation with Game and Video to Raise Awareness of Attention Deficit Hyperactivity Disorder (MPC, LS, AG, SN, HS, ZY), pp. 584–595.

ICML-2015-XuBKCCSZB #generative #image #visual notation

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (KX, JB, RK, KC, ACC, RS, RSZ, YB), pp. 2048–2057.

KDD-2015-AntoineJWKA #twitter

Portraying Collective Spatial Attention in Twitter (ÉA, AJ, SW, YK, TA), pp. 39–48.

SIGIR-2015-LagunA #interactive #modelling

Inferring Searcher Attention by Jointly Modeling User Interactions and Content Salience (DL, EA), pp. 483–492.

DAC-2014-LinKH #mobile #power management

Catch Your Attention: Quality-retaining Power Saving on Mobile OLED Displays (CHL, CKK, PCH), p. 6.

CHI-2014-KizilcecPS #video #visual notation

Showing face in video instruction: effects on information retention, visual attention, and affect (RFK, KP, LS), pp. 2095–2102.

CHI-2014-MarkICJ #online #process

Bored mondays and focused afternoons: the rhythm of attention and online activity in the workplace (GM, STI, MC, PJ), pp. 3025–3034.

CHI-2014-PielotOKO #mobile #predict

Didn’t you see my message?: predicting attentiveness to mobile instant messages (MP, RdO, HK, NO), pp. 3319–3328.

DHM-2014-IkenoboKKTG #classification

The Classification Tendency and Common Denomination of the Points Paid Attention in Ikebana Instruction (YI, NK, NK, YT, AG), pp. 263–272.

DUXU-ELAS-2014-FloraB #behaviour #energy #feedback #graph

Energy Graph Feedback: Attention, Cognition and Behavior Intentions (JAF, BB), pp. 520–529.

HCI-AS-2014-YoungCGC #metric #mobile #performance #physics #process

Snappy App: A Mobile Continuous Performance Test with Physical Activity Measurement for Assessing Attention Deficit Hyperactivity Disorder (ZY, MPC, MG, JC), pp. 363–373.

LCT-NLE-2014-WachtlerE #algorithm #profiling

Attention Profiling Algorithm for Video-Based Lectures (JW, ME), pp. 358–367.

LCT-TRE-2014-OzcelikCSTU #education

The Effect of Split Attention in Surgical Education (EÖ, NEÇ, GS, ET, BU), pp. 3–10.

ICPR-2014-RazavianASC #smarttech #using

Estimating Attention in Exhibitions Using Wearable Cameras (ASR, OA, JS, SC), pp. 2691–2696.

ICPR-2014-YamazakiHF #visual notation

Sensing Visual Attention by Sequential Patterns (YY, HH, KF), pp. 483–488.

SIGIR-2014-LagunA

Effects of task and domain on searcher attention (DL, EA), pp. 1087–1090.

SIGIR-2014-LagunHWN #metric #mobile #towards

Towards better measurement of attention and satisfaction in mobile search (DL, CHH, DW, VN), pp. 113–122.

SIGIR-2014-SmuckerGT

Mouse movement during relevance judging: implications for determining user attention (MDS, XSG, AT), pp. 979–982.

DAC-2013-ParkZDK #recognition

Accelerators for biologically-inspired attention and recognition (MSP, CZ, MD, SK), p. 6.

HT-2013-RokhlenkoGLL #web

Engagement-based user attention distribution on web article pages (OR, NG, RL, LL), pp. 196–201.

CSCW-2013-KusunokiSZB #comprehension #monitoring #visual notation

Understanding visual attention of teams in dynamic medical settings through vital signs monitor use (DSK, AS, ZZ, RSB), pp. 527–540.

DHM-SET-2013-BiegBC #behaviour #bias

Attentional Biases during Steering Behavior (HJB, HHB, LLC), pp. 21–27.

HIMI-D-2013-DjamasbiPY13a #contest

Search Results Pages and Competition for Attention Theory: An Exploratory Eye-Tracking Study (SD, AHP, R(Y), pp. 576–583.

SIGIR-2013-ZhaoGYHL #generative #social #timeline

Timeline generation with social attention (WXZ, YG, RY, YH, XL), pp. 1061–1064.

CHI-2012-McCay-PeetLN #on the

On saliency, affect and focused attention (LMP, ML, VN), pp. 541–550.

CHI-2012-SzafirM #adaptation #design #exclamation #monitoring

Pay attention!: designing adaptive agents that monitor and improve user engagement (DS, BM), pp. 11–20.

ICPR-2012-HuG #3d #framework #gesture #modelling #recognition #visual notation

A 3D gesture recognition framework based on hierarchical visual attention and perceptual organization models (GH, QG), pp. 1411–1414.

ICPR-2012-HuLH #visual notation

Visual attention region determination for H.264 videos (KTH, JJL, HHH), pp. 2038–2041.

ICPR-2012-PalenichkaPKL #image #modelling #multi #using

Model-based extraction of image area descriptors using a multi-scale attention operator (RMP, MP, YK, AL), pp. 853–856.

ICPR-2012-PotapovaZV #3d #segmentation

Attention-driven segmentation of cluttered 3D scenes (EP, MZ, MV), pp. 3610–3613.

ICPR-2012-StammD #analysis #documentation

Searching attentive tasks with document analysis evidences and Dempster-Shafer theory (KS, AD), pp. 529–532.

ICSE-2012-SillittiSV #case study #comprehension #developer #industrial #programming #scalability

Understanding the impact of Pair Programming on developers attention: A case study on a large industrial experimentation (AS, GS, JV), pp. 1094–1101.

CHI-2011-VeasMFS #memory management #visual notation

Directing attention and influencing memory with visual saliency modulation (EEV, EM, SF, DS), pp. 1471–1480.

CHI-2011-WainerDK #email

Should I open this email?: inbox-level cues, curiosity and attention to email (JW, LD, RK), pp. 3439–3448.

DHM-2011-MobusEG #composition #predict

Predicting the Focus of Attention and Deficits in Situation Awareness with a Modular Hierarchical Bayesian Driver Model (CM, ME, HG), pp. 483–492.

HCI-ITE-2011-BarbuceanuADR #analysis #artificial reality #interactive #user interface

Attentive User Interface for Interaction within Virtual Reality Environments Based on Gaze Analysis (FB, CA, MD, ZR), pp. 204–213.

HIMI-v1-2011-MitaWKM #case study #communication #using

A Study of Attention Control by Using Eye Communication with an Anthropomorphic Agent (TM, RW, NK, KM), pp. 603–611.

CIKM-2011-LakkarajuA #predict #social #social media

Attention prediction on social media brand pages (HL, JA), pp. 2157–2160.

ICML-2011-BazzaniFLMT #learning #network #policy #recognition #video

Learning attentional policies for tracking and recognition in video with deep networks (LB, NdF, HL, VM, JAT), pp. 937–944.

SIGIR-2011-CartrightWH #health

Intentions and attention in exploratory health search (MAC, RWW, EH), pp. 65–74.

CHI-2010-IqbalJH

Cars, calls, and cognition: investigating driving and divided attention (STI, YCJ, EH), pp. 1281–1290.

CHI-2010-JensenST #behaviour #navigation

Studying driver attention and behaviour for three configurations of GPS navigation in real traffic driving (BSJ, MBS, NT), pp. 1271–1280.

CHI-2010-KernMS #named #visual notation

Gazemarks: gaze-based visual placeholders to ease attention switching (DK, PM, AS), pp. 2093–2102.

ICPR-2010-LiHLYZL #recognition #top-down

Event Recognition Based on Top-Down Motion Attention (LL, WH, BL, CY, PZ, WL), pp. 3561–3564.

ICPR-2010-SangWW #learning #modelling #top-down #visual notation

A Biologically-Inspired Top-Down Learning Model Based on Visual Attention (NS, LW, YW), pp. 3736–3739.

ICPR-2010-SunLS #approach #visual notation

A Visual Attention Based Approach to Text Extraction (QS, YL, SS), pp. 3991–3995.

ICPR-2010-ZhaoLLY #visual notation

Sparse Embedding Visual Attention Systems Combined with Edge Information (CZ, CL, ZL, JY), pp. 3432–3435.

CHI-2009-YardiGB

Blogging at work and the corporate attention economy (SY, SAG, MJB), pp. 2071–2080.

DHM-2009-GoreHWS #implementation

A Computational Implementation of a Human Attention Guiding Mechanism in MIDAS v5 (BFG, BLH, CDW, SSN), pp. 237–246.

HCI-NT-2009-Rebolledo-MendezDMVFLG #assessment #detection #usability

Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise (GRM, ID, EMM, MDVC, SdF, FL, ARGG), pp. 149–158.

HCI-NT-2009-SrinivasanTDLD

Decoding Attentional Orientation from EEG Spectra (RS, ST, SD, TL, MD), pp. 176–183.

HCI-VAD-2009-FicarraC #hypermedia #motivation

Attention and Motivation in Hypermedia Systems (FVCF, MCF), pp. 78–87.

IDGD-2009-TranL #interface #question #research

Attention to Effects of Different Cross-Cultural Levels in User Research Method’s Interface: Discipline or Nationality — Which Has Stronger Force? (TTT, KPL), pp. 127–134.

SAC-2009-HeinenE #2d #evaluation #modelling #similarity #visual notation

Evaluation of visual attention models under 2D similarity transformations (MRH, PME), pp. 1156–1160.

SAC-2009-MullerK #interactive #visual notation

Attention driven visual processing for an interactive dialog robot (TM, AK), pp. 1151–1155.

CHI-2008-BirnholtzMGB #distributed

Attention by proxy? issues in audience awareness for webcasts to distributed groups (JPB, CM, SG, RB), pp. 103–106.

CSCW-2008-JuhlinW #collaboration

Hunting for fun: solitude and attentiveness in collaboration (OJ, AW), pp. 57–66.

CAiSE-2008-YeNY #comprehension

Understanding and Improving Collective Attention Economy for Expertise Sharing (YY, KN, YY), pp. 167–181.

CIKM-2008-WangZRM #automation #online #ranking #topic #using

Automatic online news topic ranking using media focus and user attention based on aging theory (CW, MZ, LR, SM), pp. 1033–1042.

ICPR-2008-Boccignone #analysis #parametricity #video

Nonparametric Bayesian attentive video analysis (GB), pp. 1–4.

ICPR-2008-ChamaretM #using #validation #video

Attention-based video reframing: Validation using eye-tracking (CC, OLM), pp. 1–4.

ICPR-2008-KimuraPTYK #markov #modelling #probability #random #visual notation

Dynamic Markov random fields for stochastic modeling of visual attention (AK, DP, TT, JY, KK), pp. 1–5.

ICPR-2008-LiuZDY #detection #learning #sequence #video

Video attention: Learning to detect a salient object sequence (TL, NZ, WD, ZY), pp. 1–4.

ICPR-2008-MilanovaRKTK #sequence #video #visual notation

Combined visual attention model for video sequences (MGM, SHR, RK, VT, RK), pp. 1–4.

CASE-2007-SugiMTOA #evaluation

Quantitative Evaluation of Human Supporting Production System “Attentive Workbench” (MS, IM, YT, JO, TA), pp. 531–535.

CHI-2007-GluckBM

Matching attentional draw with utility in interruption (JG, AB, JM), pp. 41–50.

CHI-2007-VasalouJP #online #self

Constructing my online self: avatars that increase self-focused attention (AV, ANJ, JP), pp. 445–448.

DHM-2007-WangYLLT #human-computer #interface

Brain-Computer Interfaces Based on Attention and Complex Mental Tasks (JW, NY, HL, ML, CT), pp. 467–473.

HCI-IPT-2007-ChenK

Displays Attentive to Unattended Regions: Presenting Information in a Peripheral-Vision-Friendly Way (MCC, RLK), pp. 23–31.

HCI-IPT-2007-NoguchiMS #embedded

Attentive Information Support with Massive Embedded Sensors in Room (HN, TM, TS), pp. 883–892.

HCI-MIE-2007-ReiterJ #quality #requirements

Watch, Press, and Catch — Impact of Divided Attention on Requirements of Audiovisual Quality (UR, SJP), pp. 943–952.

SIGIR-2007-Buscher #information retrieval

Attention-based information retrieval (GB), p. 918.

CHI-2006-BioccaTOX #3d #artificial reality #mobile

Attention funnel: omnidirectional 3D cursor for mobile augmented reality platforms (FB, AT, CBO, FX), pp. 1115–1122.

ICPR-v1-2006-BurTOSH #navigation

Robot Navigation by Panoramic Vision and Attention Guided Fetaures (AB, AT, NO, RS, HH), pp. 695–698.

ICPR-v2-2006-FrintropJC

Pay Attention When Selecting Features (SF, PJ, HIC), pp. 163–166.

ICPR-v4-2006-MbonyeF #estimation #parametricity #visual notation

Attentive Visual Servoing in the MPEG compressed domain for Un-calibrated Motion Parameter Estimation of Road Traffic (KPM, FPF), pp. 908–911.

ICPR-v4-2006-TokaiH #layout #multi #navigation

Attention Navigation by Keeping Screen Layout for Switching Multiple Views (ST, HH), pp. 766–769.

CHI-2005-KhanMFK #named #scalability

Spotlight: directing users’ attention on large displays (AK, JM, GWF, GK), pp. 791–798.

CHI-2005-OulasvirtaTRK #human-computer #interactive #mobile

Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI (AO, ST, VR, JK), pp. 919–928.

ICML-2005-PalettaFS #recognition #visual notation

Q-learning of sequential attention for visual object recognition from informative local descriptors (LP, GF, CS), pp. 649–656.

CSCW-2004-McCarthyBCGLZ #physics

Digital backchannels in shared physical spaces: attention, intention and contention (JFM, DB, EFC, WGG, EL, MZ), pp. 550–553.

ICPR-v3-2004-BoccignoneCMP #segmentation #using #video

Using Attention for Video Segmentation (GB, AC, VM, AP), pp. 838–841.

ICPR-v3-2004-Stentiford #image #visual notation

A Visual Attention Estimator Applied to Image Subject Enhancement and Colour and Grey Level Compression (FS), pp. 638–641.

ICPR-v4-2004-OyekoyaS #behaviour #using #visual notation

Exploring Human Eye Behaviour using a Model of Visual Attention (OO, FS), pp. 945–948.

CSCW-2002-KrautMTFCS #email #question

Markets for attention: will postage for email help? (REK, JM, RT, DF, MC, SS), pp. 206–215.

ITiCSE-2001-Kaczmarczyk #assessment #distance #education #student #why

Accreditation and student assessment in distance education: why we all need to pay attention (LCK), pp. 113–116.

CSCW-2000-Thorngate #how

Got a minute? How technology affects the economy of attention (WT), p. 361.

ICPR-v1-2000-GolovanYL #detection #image

Pre-Attentive Detection of Perceptually Important Regions in Facial Images (AG, MHY, SWL), pp. 5092–5095.

ICPR-v1-2000-OuerhaniH #visual notation

Computing Visual Attention from Scene Depth (NO, HH), pp. 1375–1378.

ICPR-v4-2000-Kita #visual notation

Visual Attention Control for Nuclear Power Plant Inspection (NK), pp. 4118–4123.

ICPR-v4-2000-MaderlechnerSS #documentation #image #metric #using #visual notation

Extraction of Relevant Information from Document Images Using Measures of Visual Attention (GM, AS, PS), pp. 4385–4388.

ICPR-v4-2000-NakamuraOO #process

Structuring Personal Activity Records Based on Attention — Analyzing Videos from Head-Mounted Camera (YN, YO, JO), pp. 4222–4225.

ICDAR-1999-Faure #analysis #documentation #image

Preattentive Reading and Selective Attention for Document Image Analysis (CF), pp. 577–580.

CHI-1999-Vertegaal #collaboration #communication #multi

The GAZE Groupware System: Mediating Joint Attention in Multiparty Communication and Collaboration (RV), pp. 294–301.

ICPR-1998-ExelP #recognition #visual notation

Attentive visual recognition (SE, LP), pp. 690–692.

ICPR-1998-HanKKL #network #probability #segmentation

Temporal segmentation and selective attention in the stochastic oscillator neural network (SKH, WSK, HK, SWL), pp. 259–261.

ICPR-1998-TanakaHMK #detection

Dynamic attention map by Ising model for human face detection (MT, KH, TM, TK), pp. 1044–1046.

SAC-1998-HashemiTTSP #approach #development #network

The development of profiles for children with attention deficit disorder and monkeys: a neural network approach (RRH, MST, AAT, WS, MGP), pp. 55–59.

KDD-1997-StoughB #image #multi #reduction

Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention (TMS, CEB), pp. 255–258.

ICML-1996-BanderaVBHB #visual notation

Residual Q-Learning Applied to Visual Attention (CB, FJV, JMB, MEH, LCBI), pp. 20–27.

ICPR-1996-FellenzH #visual notation

Preattentive grouping and attentive selection for early visual computation (WAF, GH), pp. 340–345.

ICPR-1996-MakiNE

A computational model of depth-based attention (AM, PN, JOE), pp. 734–739.

ICPR-1996-TakacsW #detection #using

Attention and pattern detection using sensory and reactive control mechanisms (BT, HW), pp. 19–23.

CHI-1995-HarrisonIVB #design #evaluation #user interface

Transparent Layered User Interfaces: An Evaluation of a Display Design to Enhance Focused and Divided Attention (BLH, HI, KJV, WB), pp. 317–324.

HCI-SHI-1993-Sato #collaboration #design #development

Human Centred Collaborative Design in System Development — Intelligent Back Scratcher to be Attentive to User’s Needs (YS), pp. 949–954.