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Subject:
From:
Styliani Kleanthous Loizou <[log in to unmask]>
Reply To:
Styliani Kleanthous Loizou <[log in to unmask]>
Date:
Thu, 20 Apr 2017 13:27:08 +0300
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ACM UMAP Workshop - HAAPIE 2017 - DEADLINE EXTENSION

*After a number of request the organizers decided to extend the deadline
until the 27th April 2017.*

The 2nd International Workshop on Human Aspects in Adaptive and
Personalized Interactive Environments, in conjunction with the 25th ACM
Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2017),
Bratislava, Slovakia, 9-12 July 2017

Full details are available online: http://haapie.cs.ucy.ac.cy

IMPORTANT DATES

*Extended Submission deadline: 27 April **2017*
Notification: 20 May 2017
Camera-ready: 28 May 2017

MOTIVATION & GOALS

State-of-the-art approaches in adaptation and personalization research
consider user models that mostly maintain information regarding the
"traditional" user characteristics (i.e., experience, knowledge, interests,
context), and related contextual or technology aspects (i.e., displays,
connectivity, processing power). While modeling these factors has shown
significant improvements and benefits to the end-users in terms of
usability and user experience, still the needs of today's epoch signify the
further engagement into research that will produce more holistic
human-centered practices. The vision is to bring more inclusively the
"human-in-the-loop", considering intrinsic user characteristics and
abilities, like perceptual, personality, visual, cognitive and emotional
factors as expressed by the theories of individual differences. In
addition, recent studies show the need of broadening the scope of diversity
parameters to include characteristics such as motivation,
self-actualization, and socio-cultural differences.
The overarching goal of HAAPIE 2017 is to bring together researchers and
practitioners working in the areas of human aspects in adaptation and
personalization, and aims to:

- Explore state-of-the-art and new implicit and explicit methods and
techniques of modeling a broad range of human factors of users and
behaviors - both separately and in possible combinations (e.g., cognitive
abilities and age; motivation and cultural differences);
- Explore personalization techniques, computational intelligence
algorithms, recommendation models, and real-time paradigms that can improve
the efficiency and effectiveness of user tasks and interventions;
- Compare challenges and experience in different real world contexts and
applications (e.g., decision support, learning, wellbeing, security), where
a holistic view on human aspects is needed to provide a positive user
experience; and
- Identify theoretical and computational models for the design, development
and evaluation of human aspects in adaptation and personalization.

The added value will be to shape new human-centered adaptive interactive
environments and personalized platforms that can contribute towards
long-term viable solutions.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:
- Human-centered Modeling, Adaptation Methods and Techniques
- Influence of Human Factors on Interactive Systems for Personalization
- Usage of Human Factors for Personalization
- Implicit and Explicit Detection of Human Factors for Personalization
- Human-centered Algorithms for Content Recommendation and Delivery
- Novel Human-centered Interaction Concepts and User Interfaces
- Individual Differences (Personality, Cognition, etc.)
- Synergy of Affective and Human Cognitive Factors
- Modeling Groups and Communities of Diverse Users
- Evaluation of Human Aspects in Adaptation and Personalization
- Personalized Access to Services Content
- User Experience
- Cultural and Language Diversity and Adaptation
- Age-specific Personalization and Adaptation
- Adaptation and Personalization for Users with Special Needs
- User Behavior and Behavior Change
- Context Awareness
- Human Aspects in Personalized Internet of Things Applications
- User-centric Cyber-Physical-Social Adaptive Systems
- Human Aspects in Social Adaptive Robots
- Adaptation and Personalization in Usable Privacy and Security
- Privacy Aspects of Modeling Human Factors in Personalization Systems

TYPES OF PAPERS

In HAAPIE 2017 we encourage original and relevant contributions focusing on
experiences and lessons learned from real-life applications, current
state-of-the-art methodologies, challenges tackled and solutions adopted,
tools, algorithms, and services in the academic, public or private sector,
studies, theories, techniques, and evaluation procedures that could support
human-centered adaptation and personalization issues in various levels of
interactive environments.
All workshop papers must contain original, previously unpublished, research
work adhering the two publication types:

- Full research papers (6 pages, incl. references), proposing new
approaches, innovative methods and research findings. They should make
substantial theoretical and empirical contributions to the research field.
- Short research papers (4 pages, incl. references), presenting work in
progress, lessons learnt, positions, emerging or future research issues and
directions on human aspect challenges in the area.

Manuscripts should be formatted using the ACM Standard double-column
(SIGCONF) templates (http://www.acm.org/publications/proceedings-template).

SUBMISSION & PUBLICATION

All papers will undergo a peer review process by at least two expert
reviewers to ensure a high standard of quality. Referees will consider
originality, significance, technical soundness, clarity of exposition, and
relevance to the workshop's topics.
Research papers should be submitted electronically as a single PDF file
through the EasyChair submission system (https://easychair.org/confere
nces/?conf=haapie2017). Accepted papers will be published by ACM and will
be available via the ACM Digital Library.

ORGANIZING COMMITTEE

Panagiotis Germanakos, SAP SE, DE & University of Cyprus, CY
Styliani Kleanthous-Loizou, University of Cyprus, CY
George Samaras, University of Cyprus, CY
Vania Dimitrova, University of Leeds, UK
Ben Steichen, Santa Clara University, USA

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