Challenges of using personal data to drive personalised electronic programme guides

Sailaja, Neelima; Crabtree, Andy; Stenton, Phil

Abstract

Media researchers are adopting personalisation in diverse ways to deliver increasingly context-sensitive and customised media experiences. This paper explores user attitudes towards a personalised Electronic Programme Guide which tailors media recommendations based on users’ personal data. We used scenario based exploration enabled by the use of probes to convey the functionalities of data-driven Personalised EPGs and to facilitate user discussions around its potential use. Users preferred personalised EPGs over current popular EPGs but expressed a significant lack of trust in the personal data collection that drives personalisation. Users appreciated the functionalities afforded by personalisation of media but were apprehensive about the implications of the personal data being collected about them, particularly in the context of their homes. This calls for the need to design future personalised media experiences that help enhance trust in these socio-technical settings.

Citation

Sailaja, N., Crabtree, A., & Stenton, P. Challenges of using personal data to drive personalised electronic programme guides. Presented at 2017 CHI Conference on Human Factors in Computing Systems

• Conference Name: 2017 CHI Conference on Human Factors in Computing Systems
• End Date: May 11, 2017
• Acceptance Date: Jan 6, 2017
• Publication Date: May 10, 2017
• Deposit Date: May 11, 2017
• Publicly Available Date: May 11, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: EPG, Media, Interaction, Personal data, Focus groups
• Public URL: https://nottingham-repository.worktribe.com/output/859954
• Publisher URL: http://dl.acm.org/citation.cfm?id=3025986
• Additional Information: Doi of final publication: 10.1145/3025453.3025986
• Contract Date: May 11, 2017