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Can search systems detect users' task difficulty?
2010
Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10
Two behavioral signals: document dwell time and number of content pages viewed per query, were found to be able to help the system detect when users are working with difficult tasks. ...
In this paper, we report findings on how user behaviors vary in tasks with different difficulty levels as well as of different types. ...
More work is needed to explore behavioral signals for systems to learn dynamically if users are dealing with a difficult task so that they can adapt search towards the user's specific situation. ...
doi:10.1145/1835449.1835645
dblp:conf/sigir/LiuLGB10
fatcat:amc2c2v6bbfyxgy5ppgbmtgg5m
Dynamic difficulty using brain metrics of workload
2014
Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI '14
From these physiological signals, we can adapt a simulation in order to optimize workload in real-time, which allows the system to better fit the task to the user from moment to moment. ...
Our results show that we can use fNIRS brain sensing to detect task difficulty in real-time and construct an interface that improves user performance through dynamic difficulty adjustment. ...
Physiologically-sensed signals represent user state and can provide additional, implicit input to systems. ...
doi:10.1145/2556288.2557230
dblp:conf/chi/AferganPSJHBCJ14
fatcat:z7rfjjldnnepvl3o7xcbluxasm
Deterrence's Difficulty
1997
Michigan law review
strategy to increase search costs. ...
This provides some incentive to dealers to concentrate on heavy users. ...
doi:10.2307/1290124
fatcat:lutwgu4msfgatknle3euhibm2a
Driving difficulties in Parkinson's disease
2010
Movement Disorders
Linkages between cognitive abilities measured by neuropsychological tasks, and driving behavior assessed using driving simulators, and natural and naturalistic observations in instrumented vehicles, can ...
This includes driver performance monitoring devices, collision alerting and warning systems, road design, and graded licensure strategies. ...
IVs equipped to detect RF signals associated with possible cell phone use (without recording conversations) can assess potential driver distraction and risk acceptance. ...
doi:10.1002/mds.22791
pmid:20187237
pmcid:PMC3108508
fatcat:pbb6strgfbgivlnl7my52tqaje
Analysis of difficulties in Web use for elderly people
2002
Gerontechnology
Unfortunately, many users have experienced difficulty and frustration using these systems. ...
The initial study examined if older adults encounter difficulty using real world telephone menu systems and to gather data on menu usability. Six real world telephone menu systems were examined. ...
Emergency call systems (systems based on human bio signals, user adaptation, location-aware systems). Gerontechnology 2002; 2(1): 147.
Author Address: Dovestrasse 6, Sekr. ...
doi:10.4017/gt.2002.02.01.120.00
fatcat:sx54l7i32ngyjmcwvm42wzpusa
Pushing Boulders Uphill: The Difficulty of Network Intrusion Recovery
2009
USENIX Large Installation Systems Administration Conference
We do so as a way to expose the difficulties -both technical and human -inherent in intrusion recovery. Most network users take a "secure" network infrastructure for granted. ...
We conclude with lessons learned and some detailed suggestions for tools that can help bridge this gap. "Damage control is much easier when the actual damage is known. ...
We suggest the concept of a decision surface composed of process clocks (a visual representation of task complexity using an estimate of task difficulty to shade in a graph node) as one way to achieve ...
dblp:conf/lisa/LocastoBB09
fatcat:tg7bqeieqvd53mg7kmcdszjlsu
Exploring the Impact of Video on Inferred Difficulty Awareness
2018
European Conference on Computer Supported Cooperative Work
does not detect difficulties of "calm" programmers, who do not change postures when they are in difficulty; (c) log-mining alone (using a group model) does not detect difficulties of programmers who pause ...
We performed experiments to determine how well difficulty can be automatically inferred by mining the interaction log and/or videos of programmers. ...
There has been some research on automatically detecting off-task work (Baker 2007 , Cetintas, Si et al. 2009 ) but it is targeted at math tutoring systems and makes use of tutor-specific features such ...
doi:10.18420/ecscw2018_9
dblp:conf/ecscw/CarterPD18
fatcat:w5g542ja6bgytlaahpi7dsndca
Dynamic Difficulty Adjustment (DDA) in Computer Games: A Review
2018
Advances in Human-Computer Interaction
The features such as frequency, starting levels, or rates can be set only at the beginning of the game by choosing a level of difficulty. ...
Dynamic difficulty adjustment (DDA) is a method of automatically modifying a game's features, behaviors, and scenarios in real-time, depending on the player's skill, so that the player, when the game is ...
The results indicated that f NIRS brain sensing can be used to detect real-time task difficulty and an interface constructed that enhances user performance by DDA. Fernandez et al. ...
doi:10.1155/2018/5681652
fatcat:2yopa4sq3vcqzppgrnwkat2ikm
External Assistance Techniques That Target Core Game Tasks for Balancing Game Difficulty
2020
Frontiers in Computer Science
Our approach involves identifying the fundamental actions players perform in many games— core tasks —such as signal detection, reaction time, or pointing, we can identify a range of EA techniques that ...
core task: Visual Search . ...
doi:10.3389/fcomp.2020.00017
fatcat:43tjstpinffqpkyjbjcmpnm4ou
What Makes a UI Simple? Difficulty and Complexity in Tasks Engaging Visual-Spatial Working Memory
2021
Future Internet
Tasks that imply engagement of visual-spatial working memory (VSWM) are common in interaction with two-dimensional graphical user interfaces. ...
The latter was further used in the formulation of index of difficulty and throughput for VSWM-engaging tasks, which we proposed by analogy with the infamous Fitts' law. ...
Among other things, they can predict the time spent by users in tasks of various difficulties so that the verification of UIs can be carried out without studies with the actual users [2, 4] . ...
doi:10.3390/fi13010021
fatcat:rlst7y5b7vazxjp5scwbh3p5ne
Multimedia polysensory integration training system dedicated to children with educational difficulties
2015
Journal of Intelligent Information Systems
This paper aims at presenting a multimedia system providing polysensory training for pupils with educational difficulties. ...
The system architecture, video processing methods, therapeutic exercises and guidelines for children's interaction with the system are presented. ...
This Section describes how standard computer vision tools can be used to track the human body and to detect pupil's basic behaviors. ...
doi:10.1007/s10844-015-0390-3
fatcat:mleliq6eqbhfdo6y2g5tny5osa
The effects of task difficulty on visual search strategy in virtual 3D displays
2013
Journal of Vision
Previous results suggest that increasing task difficulty leads to more systematic search paths. ...
Analyzing the factors that determine our choice of visual search strategy may shed light on visual behavior in everyday situations. ...
If a search target is defined by a feature in a single stimulus dimension, it can be detected based on the information in a single feature map and can be detected very efficiently-it ''pops out.'' ...
doi:10.1167/13.3.24
pmid:23986539
pmcid:PMC3756766
fatcat:dnw45gs55jcejiukki35hpfzvi
On the Difficulty of FSM-based Hardware Obfuscation
2018
Transactions on Cryptographic Hardware and Embedded Systems
The contribution of our work is threefold: First, we demonstrate how high-level control path information can be automatically extracted from third-party, gate-level netlists. ...
These control signals define the circuit's behavior. ...
Note that a value of 1 implies a strong control behavior, whereas a value of 0 implies no control behavior. We remove any candidate which possesses a value of 0 for all control signals. ...
doi:10.13154/tches.v2018.i3.293-330
dblp:journals/tches/FyrbiakWDABTP18
fatcat:kztdtiqgjrbb3io3voapa4eqci
Classifying the difficulty levels of working memory tasks by using pupillary response
2022
PeerJ
Knowing the difficulty of a given task is crucial for improving the learning outcomes. This paper studies the difficulty level classification of memorization tasks from pupillary response data. ...
Developing a difficulty level classifier from pupil size features is challenging because of the inter-subject variability of pupil responses. ...
Some tools (e.g., surveys) can be used to predict the cognitive load caused by a task in a specific group. ...
doi:10.7717/peerj.12864
pmid:35368339
pmcid:PMC8973468
fatcat:r4rcen6h45ed7opdo4dahxizuy
Real-World Data Difficulty Estimation with the Use of Entropy
2021
Entropy
This article investigates the possibilities of using the entropy measure as an indicator of data difficulty. ...
Characteristics selection: Selecting characteristics that can be useful for user behavior analysis.
6. ...
User behavior analysis: Studying the behavior of different users for selecting dominant ones (i.e., the characteristics that change significantly from one behavior to another). ...
doi:10.3390/e23121621
pmid:34945927
pmcid:PMC8700715
fatcat:sfudesums5ef5ojfjzrhctb6yq
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