Clara Mancini

Dr. Clara Mancini

Animal-Computer Interaction Lab, School of Computing and Communications, The Open University, Milton Keynes, UK

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2011 in Interactions
Verified
Journal Article
Open access
CMClara Mancini
Clara Mancini

1 February 2017 in International Journal of Human-Computer Studies
Verified
Journal Article
Closed access
CMClara Mancini
Clara Mancini

27 April 2013
Verified
Conference Paper
Open access
CMClara Mancini
Clara Mancini

5 September 2012
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Conference Paper
Open access
PDF file
CMClara Mancini
Clara Mancini
JLJanet van der Linden
Janet van der Linden
JBJon Bryan
Jon Bryan
ASAndrew Stuart
Andrew Stuart

10 April 2010
Verified
Conference Paper
Open access
CMClara Mancini
Clara Mancini
YRYvonne Rogers
Yvonne Rogers
Arosha K. BandaraArosha K. Bandara
Arosha K. Bandara
TCTony Coe
Tony Coe
LJLukasz Jedrzejczyk
Lukasz Jedrzejczyk
BNBashar Nuseibeh
Bashar Nuseibeh
How can we best explore the range of users' reactions when developing future technologies that may be controversial, such as personal healthcare systems? Our approach - ContraVision - uses futuristic videos, or other narrative forms, that convey either negative or positive aspects of the proposed technology for the same scenarios. We conducted a user study to investigate what range of responses the different versions elicited. Our findings show that the use of two systematically comparable representations of the same technology can elicit a wider spectrum of reactions than a single representation can. We discuss why this is so and the value of obtaining breadth in user feedback for potentially controversial technologies

30 September 2009
Verified
Conference Paper
Open access
PDF file
CMClara Mancini
Clara Mancini
KTKeerthi Thomas
Keerthi Thomas
YRYvonne Rogers
Yvonne Rogers
BPBlaine Price
Blaine Price
LJLukazs Jedrzejczyk
Lukazs Jedrzejczyk
BNBashar Nuseibeh
Bashar Nuseibeh
Peer-reviewedMobile privacy concerns are central to Ubicomp and yet\ud remain poorly understood. We advocate a diversified\ud approach, enabling the cross-interpretation of data from\ud complementary methods. However, mobility imposes a\ud number of limitations on the methods that can be\ud effectively employed. We discuss how we addressed this\ud problem in an empirical study of mobile social networking.\ud We report on how, by combining a variation of experience\ud sampling and contextual interviews, we have started\ud focusing on a notion of context in relation to privacy, which\ud is subjectively defined by emerging socio-cultural\ud knowledge, functions, relations and rules. With reference to\ud Gieryn’s sociological work, we call this place, as opposed\ud to a notion of context that is objectively defined by physical\ud and factual elements, which we call space. We propose that\ud the former better describes the context for mobile privacy