Currently browsing: Items authored or edited by Camilla Elphick

Bandara, Arosha; Zhang, Min; Price, Blaine; Pike, Graham; Elphick, Camilla; Walkington, Zoe; Frumkin, Lara; Philpot, Richard; Levine, Mark; Stuart, Avelie and Nuseibeh, Bashar (2020). Towards Citizen Forensics: Improving Citizen-Police Collaboration. In: Workshop on Crime and/or Punishment: Joining the Dots between Crime, Legality and HCI, Extended Abstracts of ACM Conference on Human Factors in Computing Systems, 25-30 Apr 2020, Honolulu, HI, USA.

• Download Accepted Manuscript (PDF / 257kB)

Elphick, Camilla; Philpot, Richard; Zhang, Min; Stuart, Avelie; Pike, Graham; Strathie, Ailsa; Havard, Catriona; Walkington, Zoe; Frumkin, Lara; Levine, Mark; Price, Blaine; Bandara, Arosha and Nuseibeh, Bashar (2021). Digital detectives: websleuthing reduces eyewitness identification accuracy in police lineups. Frontiers in Psychology, 12, article no. 640513.

• Download Published Version (PDF / 492kB)

Elphick, Camilla; Philpot, Richard; Zhang, Min; Stuart, Avelie; Walkington, Zoe; Frumkin, Lara; Pike, Graham; Gardner, Kelly; Lacey, Mark; Levine, Mark; Price, Blaine; Bandara, Arosha and Nuseibeh, Bashar (2021). Building trust in digital policing: a scoping review of community policing apps. Police Practice and Research, 22(5) 1469 -1491.

• Download Accepted Manuscript (PDF / 357kB)

Elphick, Camilla E. J.; Pike, Graham E. and Hole, Graham J. (2020). You can believe your eyes: measuring implicit recognition in a lineup with pupillometry. Psychology, Crime and Law, 26(1) pp. 67–92.

• Download Accepted Manuscript (PDF / 398kB)

Elphick, Camilla; Hole, Graham and Welsh, Lucy (2019). Pupil changes linked to eyewitness memory strength in police lineups. The Conversation.

Minhas, Rashid; Elphick, Camilla and Shaw, Julia (2022). Protecting Victim and Witness Statement: Examining the Effectiveness of a Chatbot that Uses Artificial Intelligence and a Cognitive Interview. AI & Society, 37 pp. 265–281.

• Download Accepted Manuscript (PDF / 2MB)

Shaw, Julia and Elphick, Camilla (2018). In the #MeToo era, a chatbot can help people report workplace harassment. The Conversation.

Zhang, Min; Elphick, Camilla; Philpot, Richard; Walkington, Zoe; Frumkin, Lara; Price, Blaine; Pike, Graham; Levine, Mark; Nuseibeh, Bashar and Bandara, Arosha (2022). Attitudes towards Online Community Support Initiatives during the COVID-19 Pandemic: A Survey in the UK. In: CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-7 May 2022, Association for Computing Machinery.

• Download Accepted Manuscript (PDF / 533kB)

Zhang, Min; Bandara, Arosha; Price, Blaine; Pike, Graham; Walkington, Zoe; Elphick, Camilla; Frumkin, Lara; Philpot, Richard; Levine, Mark; Stuart, Avelie and Nuseibeh, Bashar (2020). Designing Technologies for Community Policing. In: CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems pp. 1–9.

• Download Accepted Manuscript (PDF / 174kB)