Judith Masthoff

ORCID: 0000-0001-8099-0515
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Recommender Systems and Techniques
  • Innovative Teaching and Learning Methods
  • Behavioral Health and Interventions
  • Intelligent Tutoring Systems and Adaptive Learning
  • Innovative Human-Technology Interaction
  • Multimedia Communication and Technology
  • Data Visualization and Analytics
  • Speech and dialogue systems
  • Team Dynamics and Performance
  • Impact of Technology on Adolescents
  • Cutaneous Melanoma Detection and Management
  • Personality Traits and Psychology
  • Digital Mental Health Interventions
  • Multi-Agent Systems and Negotiation
  • AI in Service Interactions
  • Advanced Text Analysis Techniques
  • Persona Design and Applications
  • Opinion Dynamics and Social Influence
  • Semantic Web and Ontologies
  • Digital Marketing and Social Media
  • Software Engineering Research
  • Mobile Crowdsensing and Crowdsourcing
  • Online and Blended Learning
  • Learning Styles and Cognitive Differences
  • Media Influence and Health

Utrecht University
2012-2025

University of Aberdeen
2011-2020

University of Brighton
2002-2011

King's College Hospital
2007-2011

PATH To Reading
1996

This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages an explanation facility, and describe how existing measures can be used to evaluate the quality explanations. Since are not independent recommendation process, we consider ways recommendations presented may affect Next, look at different interacting with The is illustrated examples throughout, where from applications.

10.1109/icdew.2007.4401070 article EN 2007-04-01

10.1023/b:user.0000010138.79319.fd article EN User Modeling and User-Adapted Interaction 2003-12-25

10.1007/s11257-011-9117-5 article EN User Modeling and User-Adapted Interaction 2012-02-15

This paper characterizes general properties of useful, or Effective, explanations recommendations. It describes a methodology based on focus groups, in which we elicit what helps moviegoers decide whether not they would like movie. Our results highlight the importance personalizing to individual user, as well considering source recommendations, user mood, effects group viewing, and effect expectations.

10.1145/1297231.1297259 article EN 2007-10-19

It is often desirable that referring expressions be chosen in such a way their referents are easy to identify. This article focuses on hierarchically structured domains, exploring the hypothesis can improved by including logically redundant information them if this leads significant reduction amount of search needed identify referent. Generation algorithms presented implement idea into generated expression, certain well-circumscribed situations. To test our hypotheses, and assess performance...

10.1162/coli.2007.33.2.229 article EN Computational Linguistics 2007-06-01

In this paper, we develop and validate a scale to measure the perceived persuasiveness of messages be used in digital behaviour interventions. A literature review is conducted inspire initial items. The developed using Exploratory Confirmatory Factor Analysis on data from study with 249 ratings healthy eating messages. construct validity established 573 email security Using two studies, also show usefulness scale, by analysing different types factors both domains. results our studies that...

10.3389/frai.2019.00024 article EN cc-by Frontiers in Artificial Intelligence 2019-11-21

This article presents research conducted to establish how information is shared across the personal social network in sensitive context of a health crisis. We worked with parents very sick babies who were cared for hospital's Neonatal Unit (NNU). Through combination interviews, focus group, and surveys, we developed user model that wanted share, they adapted this individual recipients. then prototype software tool which created adaptive updates members parents' network. The contained...

10.1080/07370024.2013.819218 article EN Human-Computer Interaction 2013-06-28

As feedback is an important part of learning and motivation, we investigate how to adapt the a conversational agent learner personality (as well as performance, expect interaction effect between performance on feedback). We two aspects feedback. Firstly, whether should employ slant (or bias) in its particular test scores motivate with trait more effectively (for example, using "you are slightly below expectations" versus substantially depending conscientiousness). Secondly, which emotional...

10.1007/s40593-015-0059-7 article EN public-domain International Journal of Artificial Intelligence in Education 2015-08-12

10.1016/j.tra.2017.06.002 article EN Transportation Research Part A Policy and Practice 2017-06-24

Students' mental health has received increased attention in recent years: reports of worsened among higher education students call for new ways to support them their college years. Educational demands are the concerns that report, such as stress academic performance, related examinations and pressure succeed. One aspect often present is group work. Group work can be truly beneficial learning, but it causes additional students. The research contributes design a peer assessment tool during In...

10.3389/frai.2025.1449176 article EN cc-by Frontiers in Artificial Intelligence 2025-03-28

This paper describes the User-Centred Design process followed within SUPERHUB project in order to investigate requirements, elicit user feedback and refine motivational features of a mobile app fostering adoption sustainable behaviors for urban mobility. We report main lessons learnt from focus groups, participatory design sessions, low-mid fidelity prototyping designed. These are currently informing our implementation work could be interest designers eco-sustainability field.

10.1145/2468356.2468617 article EN 2013-04-27

This research explores how to communicate an individuals' self-reported emotional state members of their personal social network, through automatic, computer-generated, personalised updates. Results two qualitative studies are described where participants were unwilling disclose fully all network members, choosing deceive selected instead. Further, indicated that they would want automatic updates for incorporate these deceits.

10.1145/1520340.1520490 article EN 2009-04-04
Coming Soon ...