Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Browse by topic Browse by titles Authors Reviewers Browse by issue Browse Help
  Browse All Reviews > Information Systems (H) > Models And Principles (H.1) > User/Machine Systems (H.1.2) > Human Factors (H.1.2...)  
  1-10 of 515 Reviews about "Human Factors (H.1.2...)": Date Reviewed
  Answering enumeration queries with the crowd
Trushkowsky B., Kraska T., Franklin M., Sarkar P.  Communications of the ACM 59(1): 118-127, 2016. Type: Article

Human crowds are valuable assets for providing additional responses in real time to cognate query results derived solely from relational database management systems (RDBMSs). But how should query results from human crowds, designed to simultaneous...

May 3 2016
  Task assignment optimization in knowledge-intensive crowdsourcing
Basu Roy S., Lykourentzou I., Thirumuruganathan S., Amer-Yahia S., Das G.  The VLDB Journal: The International Journal on Very Large Data Bases 24(4): 467-491, 2015. Type: Article

This paper proposes work on “knowledge-intensive crowdsourcing (KI-C), which focuses on knowledge production rather than on the accomplishment of simple human tasks.” The authors deal with the problem of worker-to-task assignment, wher...

Dec 11 2015
   Combining human error verification and timing analysis: a case study on an infusion pump
Ruknas R., Curzon P., Blandford A., Back J.  Formal Aspects of Computing 26(5): 1033-1076, 2014. Type: Article

A poor design interface can contribute to major problems within a medical computing environment. The biggest problem is user error. This can range from treating the wrong patient to entering the wrong value into a medical device....

Jan 7 2015
  Silence is also evidence: interpreting dwell time for recommendation from psychological perspective
Yin P., Luo P., Lee W., Wang M.  KDD 2013 (Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL,  Aug 11-14, 2013) 989-997, 2013. Type: Proceedings

In many social media sites, people who are given an opportunity to vote rarely do so. Yin et al. note: “We call the phenomenon [of] a user silently viewing an item without expressing [his or her] opinions (i.e. giving a vote) ‘silent v...

Apr 7 2014
  Blended information behaviour in Second Life
Webber S.  Journal of Information Science 39(1): 85-100, 2013. Type: Article

While information literacy training often focuses on searching for documents and sources [1], the author of this paper argues for a more holistic view. Through a large qualitative study involving more than 90 interviews on information behaviors in...

Mar 12 2014
  From STEM to STEAM: toward a human-centred education, creativity & learning thinking
Boy G.  ECCE 2013 (Proceedings of the 31st European Conference on Cognitive Ergonomics, Toulouse, France,  Aug 26-28, 2013) 1-7, 2013. Type: Proceedings

The title and abstract of this paper refer to the idea of incorporating arts into science, technology, engineering, and mathematics (STEM). The author makes several broad statements about the failures of the education system, but offers only rheto...

Nov 25 2013
  Bootstrapping a game with a purpose for commonsense collection
Herdadelen A., Baroni M.  ACM Transactions on Intelligent Systems and Technology 3(4): 1-24, 2012. Type: Article

The problem of incorporating human commonsense knowledge into a computer program and using that knowledge for intelligent tasks has been recognized as a central problem in artificial intelligence (AI) since the inception of the field. Solving this...

Sep 19 2013
  An analysis of human factors and label accuracy in crowdsourcing relevance judgments
Kazai G., Kamps J., Milic-Frayling N.  Information Retrieval 16(2): 138-178, 2013. Type: Article

Labeling is a complex task. This interesting paper investigates the use of crowdsourcing to create labeled data, which involves relevance judgments that are known to be subjective. The authors use a series of experiments using Amazon’s Mecha...

Aug 20 2013
  Context ontologies for recommending from the social web
Hurrell E., Smeaton A.  CaRR 2013 (Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation, Rome, Italy,  Feb 5, 2013) 26-32, 2013. Type: Proceedings

This paper uses data from Twitter on “follow” choices to explore the use of context for recommendation systems. Context here incorporates such things as usage patterns and rating behaviors, and factors that users may inherit from membe...

Aug 6 2013
  What does touch tell us about emotions in touchscreen-based gameplay?
Gao Y., Bianchi-Berthouze N., Meng H.  ACM Transactions on Computer-Human Interaction 19(4): 1-30, 2012. Type: Article

Touch is an important means of expressing emotion in everyday life, but how do we express emotions in games played using a touchscreen? In this monograph, Gao et al. carefully investigate this question. The popularity of gaming in a touch-based en...

Jun 12 2013
Display per page
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright © 2000-2017 ThinkLoud, Inc.
Terms of Use
| Privacy Policy