Publication statistics

Pub. period:2007-2013
Pub. count:9
Number of co-authors:27



Co-authors

Number of publications with 3 favourite co-authors:

M. C. Schraefel:2
Paul Andr:2
Matt Jones:1

 

 

Productive colleagues

Max L. Wilson's 3 most productive colleagues in number of publications:

Harold Thimbleby:70
Matt Jones:63
Paul Resnick:31
 
 
 

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Max L. Wilson

 

Publications by Max L. Wilson (bibliography)

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2013
 
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Wilson, Max L., Coyle, David and Resnick, Paul (eds.) Proceedings of the CHI2013 Workshop on the Replication of HCI Research April 27-28, 2013, Paris, France.

2011
 
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Wilson, Max L., Mackay, Wendy, Chi, Ed, Bernstein, Michael, Russell, Dan and Thimbleby, Harold (2011): RepliCHI -- CHI should be replicating and validating results more: discuss. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 463-466. Available online

The replication of research findings is a cornerstone of good science. Replication confirms results, strengthens research, and makes sure progress is based on solid foundations. CHI, however, rewards novelty and is focused on new results. As a community, therefore, we do not value, facilitate, or reward replication in research, and often take the significant results of a single user study on 20 users to be true. This panel will address the issues surrounding replication in our community, and discuss: a) how much of our broad diverse discipline is 'science', b) how, if at all, we currently see replication of research in our community, c) whether we should place more emphasis on replication in some form, and d) how that should look in our community. The aim of the panel is to make a proposal to future CHI organizers (2 are on the panel) for how we should facilitate replication in the future.

© All rights reserved Wilson et al. and/or their publisher

 
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Wilson, Mathew J. and Wilson, Max L. (2011): Tag clouds and keyword clouds: evaluating zero-interaction benefits. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 2383-2388. Available online

Tag clouds are typically presented so that users can actively utilize community-generated metadata to query a collection. This research investigates whether such keyword clouds, and other interactive search metadata, also provide measureable passive support for users who do not directly interact with them. If so, then objective interaction-based measurements may not be the best way to evaluate these kinds of search user interface features. This paper discusses our study design, and the insights provided by a pilot study that led to a series of improvements to our study design.

© All rights reserved Wilson and Wilson and/or their publisher

2010
 
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Eslambolchilar, Parisa, Wilson, Max L. and Komninos, Andreas (2010): Nudge & influence through mobile devices. In: Proceedings of 12th Conference on Human-computer interaction with mobile devices and services 2010. pp. 527-530. Available online

The aim of this workshop is to provide a focal point for research and technology dedicated to persuasion and influence on mobile platforms. We aspire to establish a scientific network and community dedicated to emerging technologies for persuasion using mobile devices. This workshop would be a unique opportunity for interaction designers and researchers in this area to share their latest research and technologies on 'nudge' methods with the scientific communities. Patterns of consumption such as drinking and smoking are shaped by the taken-for-granted practices of everyday life. However, these practices are not fixed and 'immensely malleable'. Consequently, it is important to understand how the habits of everyday life change and evolve. Our decisions are inevitably influenced by how the choices are presented. Therefore, it is legitimate to deliberately 'nudge' people's behaviour in order to improve their lives. Mobile devices can play a significant role in shaping normal practices in three distinct ways: (1) they facilitate the capture of information at the right time and place; (2) they provide non-invasive and cost effective methods for communicating personalised data that compare individual performance with relevant social group performance; and (3) social network sites running on the device facilitate communication of personalised data that relate to the participant's self-defined community. Among the issues the workshop will take on are: (a) What opportunities do mobile interventions provide? (b) How far the intervention should go? (c) Is persuasion ethical? and (d) How can we extend the scale of intervention in a society using mobile devices? Participants will contribute to the workshop with examples of nudge and persuasive technologies, and we will work together to create novel ideas, interactive applications on the phone, and discuss future opportunities.

© All rights reserved Eslambolchilar et al. and/or their publisher

 
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Wilson, Max L., Robinson, Simon, Craggs, Dan, Brimble, Kristian and Jones, Matt (2010): Pico-ing into the future of mobile projector phones. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 3997-4002. Available online

Ten years ago we were on the verge of having cameras built into our mobile phones, but knew very little about what to expect or how they would be used. Now we are faced with the same unknowns with mobile projector phones. This research-in-progress seeks to explore how people will want to use such technology, how they will feel when using it, and what social effects we can expect to see. This paper describes our two-phase field investigation, with results and design recommendations from its first, experience-sampling phase.

© All rights reserved Wilson et al. and/or their publisher

2009
 
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Oleksik, Gerard, Wilson, Max L., Tashman, Craig, Rodrigues, Eduarda Mendes, Kazai, Gabriella, Smyth, Gavin, Milic-Frayling, Natasa and Jones, Rachel (2009): Lightweight tagging expands information and activity management practices. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 279-288. Available online

Could people use tagging to manage day-to-day work in their personal computing environment? Could tagging be sufficiently generic and lightweight to support diverse ways of working and, perhaps, support new and efficient practices for managing applications and accessing documents? We investigate these issues by implementing the TAGtivity system that enables users to tag resources in the context of their ongoing work. We deployed TAGtivity and studied users' tagging practices in their actual work places over a three week period. Our analysis of interviews and logs reveals that affordances of the TAGtivity system supported users in a variety of information and activity management tasks. These include new practices for managing emerging activities and ephemeral information and accessing documents across application data silos.

© All rights reserved Oleksik et al. and/or ACM Press

2008
 
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Wilson, Max L. and schraefel, m.c. (2008): A longitudinal study of exploratory and keyword search. In: JCDL08 Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008. pp. 52-56. Available online

Digital libraries are concerned with improving the access to collections to make their service more effective and valuable to users. In this paper, we present the results of a four-week longitudinal study investigating the use of both exploratory and keyword forms of search within an online video archive, where both forms of search were available concurrently in a single user interface. While we expected early use to be more exploratory and subsequent use to be directed, over the whole period there was a balance of exploratory and keyword searches and they were often used together. Further, to support the notion that facets support exploration, there were more than five times as many facet clicks than more complex forms of keyword search (boolean and advanced). From these results, we can conclude that there is real value in investing in exploratory search support, which was shown to be both popular and useful for extended use of the system.

© All rights reserved Wilson and schraefel and/or ACM Press

 
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Wilson, Max L., Andr, Paul and Schraefel, M. C. (2008): Backward highlighting: enhancing faceted search. In: Cousins, Steve B. and Beaudouin-Lafon, Michel (eds.) Proceedings of the 21st Annual ACM Symposium on User Interface Software and Technology October 19-22, 2008, Monterey, CA, USA. pp. 235-238. Available online

2007
 
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Andr, Paul, Wilson, Max L., Russell, Alistair, Smith, Daniel A., Owens, Alisdair and Schraefel, M. C. (2007): Continuum: designing timelines for hierarchies, relationships and scale. In: Proceedings of the ACM Symposium on User Interface Software and Technology October 7-10, 2007, Newport, Rhode Island, USA. pp. 101-110. Available online

Temporal events, while often discrete, also have interesting relationships within and across times: larger events are often collections of smaller more discrete events (battles within wars; artists' works within a form); events at one point also have correlations with events at other points (a play written in one period is related to its performance over a period of time). Most temporal visualisations, however, only represent discrete data points or single data types along a single timeline: this event started here and ended there; this work was published at this time; this tag was popular for this period. In order to represent richer, faceted attributes of temporal events, we present Continuum. Continuum enables hierarchical relationships in temporal data to be represented and explored; it enables relationships between events across periods to be expressed, and in particular it enables user-determined control over the level of detail of any facet of interest so that the person using the system can determine a focus point, no matter the level of zoom over the temporal space. We present the factors motivating our approach, our evaluation and implementation of this new visualisation which makes it easy for anyone to apply this interface to rich, large-scale datasets with temporal data.

© All rights reserved Andr et al. and/or ACM Press

 
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