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Individual differences |
Methods | Statistics | Clinical | Educational | Industrial | Professional items | World psychology |
Attention management refers to models and tools for supporting the management of attention at the individual or at the collective level (cf. attention economy), and at the short-term (quasi real time) or at a longer term (over periods of weeks or months).
Supporting the management of attention objective is to bring a certain number of solutions to:
- people perception cognitive limitations, such as the limited capacity of the human short-term memory (an average number of 4 items (Cowan 2001) can be managed at a given time), or the theoretical cognitive limit to the number of people with whom one can maintain stable social relationships (the Dunbar's number of 150).
- information overload
- social interaction overload (that may for instance originate from the online social networking services from which people get a lot of solicitations)
- interruption (Kebinger 2005)
- multitasking (Rosen 2008)
Tools can been designed for supporting attention
- at the organizational level, by supporting organization processes (Apostolou, Karapiperis & Stojanovic 2008)
- at the collective level
- at the individual level, for instance using attentive user interfaces (Vertegaal 2003) (Vertegaal et al. 2006) (Huberman & Wu 2008).
- at the individual level by helping people to assess and analyze their attention related practices (for instance with the tool AttentionScape (Davenport,Beck 2001)).
A certain number of projects have been conducted to investigate how to use ICT to support attention such as:
- AtGentive – Attentive Agents for Collaborative Learners.
- SAKE – Semantic-enabled Agile Knowledge-based eGovernment (IST 027128)
- SUITOR (Maglio et al. 2000)
- Adaptive hypermedia
- Attention economy
- Attentive user interface
- Information overload
- Personal information management
- Time management
- User modeling
- Apostolou, D. (2008). "On Managing Users' Attention in Knowledge-Intensive Organizations" G.A. Tsihrintzis et al. New Directions in Intelligent Interactive Multimedia, SCI 142, 239–248, Springer.
- Cowan, Nelson (Feb 2001). The magical number 4 in short-term memory: a reconsideration of mental storage capacity.. The Behavioral and Brain Sciences 24: 87-114.
- Davenport, T.H. (2001). The Attention Economy: Understanding the New Currency of Business, Harvard Business School Press.
- Huberman, Bernardo A. (2008). The Economics of Attention: Maximizing User Value in Information Rich Environments. Advances in Complex Systems 11 (4): 487–496.
- Kebinger, J. (2005). Current research in workplace interruption management. Paper COMP171.
- Maglio, P.P. (2000). "SUITOR: An attentive information system" G.A. Tsihrintzis et al. Proceedings of the International Conference on Intelligent User Interfaces 2000, 169–176, ACM Press.
- Nabeth, Thierry (2008). "User Profiling for Attention Support for School and Work" Mireille Hildebrandt and Serge Gutwirth Profiling the European Citizen, 185–200, Springer.
- Roda, Claudia (2008). "Attention management in organizations: Four levels of support in information systems" A. Bounfour 978-0-415-43771-4 Organizational Capital: Modelling, Measuring and Contextualising. Routledge (advanced research series in management), 214–233, Routledge.
- Rosen, Christine (2008). The Myth of Multitasking. The New Atlantis, Spring 2008 20: 105–110.
- Vertegaal, Roel (2003). Attentive User Interfaces. Communications of the ACM 46 (3).
- Vertegaal, Roel (2006). Designing for augmented attention: Towards a framework for attentive user interfaces. Computers in Human Behavior 22 (4): 771–789.
- Wolpers, Martin (2007). Tracking Actual Usage: the Attention Metadata Approach. International Journal Educational Technology and Society 10 (3 Special Issue on "Advanced Technologies for Life-Long Learning).
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