Does Document Relevance Affect the Searcher's Perception of Time?

Time plays an essential role in multiple areas of Information Retrieval (IR) studies such as search evaluation, user behavior analysis, temporal search result ranking and query understanding. Especially, in search evaluation studies, time is usually adopted as a measure to quantify users' efforts in search processes. Psychological studies have reported that the time perception of human beings can be affected by many stimuli, such as attention and motivation, which are closely related to many cognitive factors in search. Considering the fact that users' search experiences are affected by their subjective feelings of time, rather than the objective time measured by timing devices, it is necessary to look into the different factors that have impacts on search users' perception of time. In this work, we make a first step towards revealing the time perception mechanism of search users with the following contributions: (1) We establish an experimental research framework to measure the subjective perception of time while reading documents in search scenario, which originates from but is also different from traditional time perception measurements in psychological studies. (2) With the framework, we show that while users are reading result documents, document relevance has small yet visible effect on search users' perception of time. By further examining the impact of other factors, we demonstrate that the effect on relevant documents can also be influenced by individuals and tasks. (3) We conduct a preliminary experiment in which the difference between perceived time and dwell time is taken into consideration in a search evaluation task. We found that the revised framework achieved a better correlation with users' satisfaction feedbacks. This work may help us better understand the time perception mechanism of search users and provide insights in how to better incorporate time factor in search evaluation studies.

[1]  Leif Azzopardi,et al.  Impacts of Time Constraints and System Delays on User Experience , 2016, CHIIR.

[2]  Brian D. Davison,et al.  Learning to rank for freshness and relevance , 2011, SIGIR.

[3]  Ryen W. White,et al.  Understanding web browsing behaviors through Weibull analysis of dwell time , 2010, SIGIR.

[4]  Klaus Berberich,et al.  Identifying Time Intervals of Interest to Queries , 2014, CIKM.

[5]  R. E. Hicks,et al.  Concurrent processing demands and the experience of time-in-passing , 1977 .

[6]  Tetsuya Sakai,et al.  TREC 2013 Temporal Summarization , 2013, TREC.

[7]  Maarten de Rijke,et al.  A Context-aware Time Model for Web Search , 2016, SIGIR.

[8]  S. Droit-Volet,et al.  Emotion and Time Perception: Effects of Film-Induced Mood , 2011, Front. Integr. Neurosci..

[9]  Madalina Sucala,et al.  Psychological Time: Interval Length Judgments and Subjective Passage of Time Judgments , 2011 .

[10]  Leif Azzopardi,et al.  Time Pressure and System Delays in Information Search , 2015, SIGIR.

[11]  Peter Bailey,et al.  User Variability and IR System Evaluation , 2015, SIGIR.

[12]  Fuchun Peng,et al.  Improving search relevance for implicitly temporal queries , 2009, SIGIR.

[13]  Norbert Fuhr,et al.  A probability ranking principle for interactive information retrieval , 2008, Information Retrieval.

[14]  Ryen W. White,et al.  Modeling dwell time to predict click-level satisfaction , 2014, WSDM.

[15]  Philip A. Gable,et al.  Time Flies When You’re Having Approach-Motivated Fun , 2012, Psychological science.

[16]  D. Kornbrot,et al.  Time Perception and Depressive Realism: Judgment Type, Psychophysical Functions and Bias , 2013, PloS one.

[17]  Fan Zhang,et al.  Investigating Users' Time Perception during Web Search , 2017, CHIIR.

[18]  Ahmed Hassan Awadallah,et al.  Beyond DCG: user behavior as a predictor of a successful search , 2010, WSDM '10.

[19]  Tetsuya Sakai,et al.  Summaries, ranked retrieval and sessions: a unified framework for information access evaluation , 2013, SIGIR.

[20]  Yiqun Liu,et al.  Different Users, Different Opinions: Predicting Search Satisfaction with Mouse Movement Information , 2015, SIGIR.

[21]  Jacek Gwizdka,et al.  Using dwell time as an implicit measure of usefulness in different task types , 2011, ASIST.

[22]  Ewart A. C. Thomas,et al.  Cognitive processing and time perception , 1975 .

[23]  Falk Scholer,et al.  The Benefits of Magnitude Estimation Relevance Assessments for Information Retrieval Evaluation , 2015, SIGIR.

[24]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[25]  M. de Rijke,et al.  Using temporal bursts for query modeling , 2014, Information Retrieval.

[26]  Guido Zuccon,et al.  An Analysis of Theories of Search and Search Behavior , 2015, ICTIR.

[27]  Jonathon D. Crystal,et al.  The psychology of time , 2007, Behavioural Processes.

[28]  Falk Scholer,et al.  Magnitudes of Relevance: Relevance Judgements, Magnitude Estimation, and Crowdsourcing , 2014, EVIA@NTCIR.

[29]  Fan Zhang,et al.  Manipulating Time Perception of Web Search Users , 2016, CHIIR.

[30]  Kjetil Nørvåg,et al.  Learning to rank search results for time-sensitive queries , 2012, CIKM.

[31]  Ryen W. White,et al.  Time-critical search , 2014, SIGIR.

[32]  Richard A. Bwck Prospective and retrospective duration judgments: A meta-analytic review , 1997 .

[33]  J. Hornik Subjective vs. Objective Time Measures: A Note on the Perception of Time in Consumer Behavior , 1984 .

[34]  Ryen W. White,et al.  Understanding and Predicting Graded Search Satisfaction , 2015, WSDM.

[35]  Filip Radlinski,et al.  Relevance and Effort: An Analysis of Document Utility , 2014, CIKM.

[36]  Falk Scholer,et al.  Metric and Relevance Mismatch in Retrieval Evaluation , 2009, AIRS.

[37]  Daqing He,et al.  Searching, browsing, and clicking in a search session: changes in user behavior by task and over time , 2014, SIGIR.

[38]  Leif Azzopardi,et al.  The economics in interactive information retrieval , 2011, SIGIR.

[39]  Vagelis Hristidis,et al.  How fresh do you want your search results? , 2013, CIKM.

[40]  Ryen W. White,et al.  Slow Search: Information Retrieval without Time Constraints , 2013, HCIR '13.

[41]  James Allan,et al.  Adaptive Effort for Search Evaluation Metrics , 2016, ECIR.

[42]  Scott A. W. Brown Time and attention: Review of the literature , 2008 .

[43]  Mathias Schlögl,et al.  Time Well Spent. , 2018, Journal of palliative medicine.

[44]  Ahmed Hassan Awadallah,et al.  A semi-supervised approach to modeling web search satisfaction , 2012, SIGIR '12.

[45]  Gerhard Weikum,et al.  A Language Modeling Approach for Temporal Information Needs , 2010, ECIR.

[46]  Leif Azzopardi,et al.  Modelling interaction with economic models of search , 2014, SIGIR.

[47]  Brittany R. L. Duff,et al.  The effect of multitasking on time perception, enjoyment, and ad evaluation , 2015, Comput. Hum. Behav..

[48]  Charles L. A. Clarke,et al.  Time-based calibration of effectiveness measures , 2012, SIGIR '12.

[49]  Miles Efron,et al.  Estimation methods for ranking recent information , 2011, SIGIR.

[50]  Peter Pirolli,et al.  Information Foraging , 2009, Encyclopedia of Database Systems.

[51]  Dan Zakay,et al.  Relative and absolute duration judgments under prospective and retrospective paradigms , 1993 .

[52]  Simon Grondin,et al.  Discrimination of time intervals presented in sequences: spatial effects with multiple auditory sources. , 2007, Human movement science.

[53]  J. T. Fraser,et al.  Time: Perspectives at the Millennium (the Study of Time X) , 2000 .

[54]  Eero Sormunen,et al.  Liberal relevance criteria of TREC -: counting on negligible documents? , 2002, SIGIR '02.

[55]  E. Pöppel Lost in time: a historical frame, elementary processing units and the 3-second window. , 2004, Acta neurobiologiae experimentalis.

[56]  Aurora Szentagotai Tatar,et al.  Optimism, Pessimism and Negative Mood Regulation Expectancies in Cancer Patients , 2010 .

[57]  Simon Grondin,et al.  Remembering the Duration of Joyful and Sad Musical Excerpts Assessment with Three Estimation Methods , 2008 .

[58]  Frank E. Pollick,et al.  Understanding Relevance: An fMRI Study , 2013, ECIR.

[59]  Simon Grondin,et al.  Judging Multi-Minute Intervals Retrospectively , 2007, Quarterly journal of experimental psychology.

[60]  Pia Borlund,et al.  What does time spent on searching indicate? , 2012, IIiX.

[61]  Luis Gravano,et al.  Answering General Time-Sensitive Queries , 2008, IEEE Transactions on Knowledge and Data Engineering.

[62]  P. Fraisse Perception and estimation of time. , 1984, Annual review of psychology.

[63]  Nicholas J. Belkin,et al.  Exploring and predicting search task difficulty , 2012, CIKM '12.