Enhancing missing persons search strategies through technological touchpoints

References

• Ackerman, R. and Thompson, V.A., 2017. Meta-reasoning: monitoring and control of thinking and reasoning. Trends in cognitive sciences, 21 (8), 607–617.
   PubMed Web of Science ®Google Scholar
• Amidu, A.R., Boyd, D. and Gobet, F., 2019. A protocol analysis of use of forward and backward reasoning during valuation problem solving. Property management, 37 (5), 638–661.
   Web of Science ®Google Scholar
• Avuçlu, E. and Başçiftçi, F., 2022. An interactive robot design to find missing people and inform their location by real-time face recognition system on moving images. Journal of ambient intelligence and humanized computing, 13 (9), 4385–4396. https://doi.org/10.1007/s12652-021-03352-0.
   Google Scholar
• Barbey, A.K. and Sloman, S.A., 2007. Base-rate respect: from ecological rationality to dual processes. Behavioral and brain sciences, 30 (3), 241–254.
   PubMed Web of Science ®Google Scholar
• Belkadi, F., et al. 2020. Intelligent assistant system as a context-aware decision-making support for the workers of the future. Computers & industrial engineering, 139, 105732.
   Web of Science ®Google Scholar
• Bharadiya, J.P., 2023. Machine learning and AI in business intelligence: trends and opportunities. International journal of computer (IJC), 48 (1), 123–134.
   Google Scholar
• Biehal, N., Mitchell, F. and Wade, J., 2003. Lost from view: missing persons in the UK. Bristol: Policy Press.
   Google Scholar
• Bove, C., et al. 2022. Contextualization and exploration of local feature importance explanations to improve understanding and satisfaction of non-expert users. In: 27th international conference on intelligent user interfaces. 807–819.
   Google Scholar
• Bradac, J.J., 2001. Theory comparison: uncertainty reduction, problematic integration, uncertainty management, and other curious constructs. Journal of communication, 51 (3), 456–476.
   Web of Science ®Google Scholar
• Brady, P.Q. and King, W.R., 2017. Technology and homicide investigation. The handbook of homicide, 515–532.
   Google Scholar
• Brookman, F. and Jones, H., 2022. Capturing killers: the construction of CCTV evidence during homicide investigations. Policing and society, 32 (2), 125–144.
   Web of Science ®Google Scholar
• Cai, C.J., et al. 2019. Human-centered tools for coping with imperfect algorithms during medical decision-making. In: Proceedings of the 2019 CHI conference on human factors in computing systems. 1–14.
   Google Scholar
• Carter, J.G. and Grommon, E., 2017. Officer perceptions of the impact of mobile broadband technology on police operations. Policing and society, 27 (8), 847–864.
   Web of Science ®Google Scholar
• Carter, J.G. and Phillips, S.W., 2015. Intelligence-led policing and forces of organisational change in the USA. Policing and society, 25 (4), 333–357.
   Web of Science ®Google Scholar
• Cooper, D.C., 2005. Fundamentals of search and rescue. Massachusetts, USA: Jones & Bartlett Learning.
   Google Scholar
• Davenport, T.H. and Ronanki, R., 2018. Artificial intelligence for the real world. Harvard business review, 96 (1), 108–116.
   Google Scholar
• Dell'Orco, S., et al. 2019. Decisions under temporal and emotional pressure: the hidden relationships between the unconscious, personality, and cognitive styles. World futures, 75 (4), 260–273.
   Google Scholar
• Dewald, S., 2023. Detectives and technological frames: integrating technology and social media into everyday work. Policing and society, 33 (1), 111–128.
   Web of Science ®Google Scholar
• Domozi, Z., et al. 2020. Real time object detection for aerial search and rescue missions for missing persons. In: 2020 IEEE 15th international conference of system of systems engineering (SoSE). IEEE, 000519–000524.
   Google Scholar
• Ericsson, K.A., 2017. A companion to cognitive science. Oxford, UK. 425–432.
   Google Scholar
• Ferguson, L., Elliott, M. and Kim, S., 2023. Examining the connection between missing persons and victimization: an application of lifestyle exposure theory. Crime & delinquency, 69 (3), 656–681.
   Web of Science ®Google Scholar
• Ferguson, L. and Picknell, W., 2022. Repeat or chronic?: examining police data accuracy across the ‘history’ classifications of missing person cases. Policing and society, 32 (5), 680–694.
   Web of Science ®Google Scholar
• Ferguson, L. and Soave, V., 2021. # Missing to# found: exploring police twitter use for missing persons investigations. Police practice and research, 22 (1), 869–885.
   Web of Science ®Google Scholar
• Fyfe, N.R., Stevenson, O. and Woolnough, P., 2015. Missing persons: the processes and challenges of police investigation. Policing and society, 25 (4), 409–425.
   Web of Science ®Google Scholar
• Harenčárová, H., 2017. Managing uncertainty in paramedics' decision making. Journal of cognitive engineering and decision making, 11 (1), 42–62.
   Google Scholar
• Harrington, K., et al. 2018. Decision-making within missing person search. Cognition, technology & work, 20, 665–680.
   Web of Science ®Google Scholar
• Hayden, C. and Shalev-Greene, K., 2018. The blue light social services? responding to repeat reports to the police of people missing from institutional locations. Policing and society, 28 (1), 45–61.
   Web of Science ®Google Scholar
• He, G., Kuiper, L. and Gadiraju, U., 2023. Knowing about knowing: an illusion of human competence can hinder appropriate reliance on AI systems. In: Proceedings of the 2023 CHI conference on human factors in computing systems. 1–18.
   Google Scholar
• Hedges, C., 2017 Understanding and managing risk in the context of missing persons: a decisionmaking guide to help assess the risk and urgency of a missing person case. Brussels: European Child Rescue Alert & Police Network on Missing Children.
   Google Scholar
• Hepenstal, S., et al. 2021. Developing conversational agents for use in criminal investigations. ACM transactions on interactive intelligent systems (TiiS), 11 (3–4), 1–35.
   Web of Science ®Google Scholar
• Holtzblatt, K. and Beyer, H., 1997. Contextual design: defining customer-centered systems. San Francisco, California: Elsevier.
   Google Scholar
• Hunt, D., Ioannou, M. and Synnott, J., 2020. Effectiveness of descriptions in missing children appeals: exploration of length, type of content and confidence on recall accuracy. Journal of police and criminal psychology, 35, 336–347.
   Web of Science ®Google Scholar
• Innes, M., 2003. Investigating murder: detective work and the police response to criminal homicide. Oxford: Oxford University Press.
   Google Scholar
• Jiang, J.A., et al. 2021. Supporting serendipity: opportunities and challenges for Human–AI collaboration in qualitative analysis. Proceedings of the ACM on human–computer interaction, 5 (CSCW1), 1–23.
   PubMedGoogle Scholar
• Kahneman, D., 2011. Thinking, fast and slow. New York: Farrar, Straus and Giroux.
   Google Scholar
• Kahneman, D., 2013. A perspective on judgment and choice: mapping bounded rationality. Progress in psychological science around the world. volume 1 neural, cognitive and developmental issues, 58 (9), 697–720.
   Google Scholar
• Kawakami, A., et al. 2022. Improving Human–AI partnerships in child welfare: understanding worker practices, challenges, and desires for algorithmic decision support. In: Proceedings of the 2022 CHI conference on human factors in computing systems. 1–18.
   Google Scholar
• Kim, S.S., et al. 2023. ‘Help Me Help the AI’: understanding how explainability can support Human–AI interaction. In: Proceedings of the 2023 CHI conference on human factors in computing systems. 1–17.
   Google Scholar
• Klein, G.A., 2017. Sources of power: how people make decisions. Cambridge, Massachusetts: MIT Press.
   Google Scholar
• Lee, K., 2018. The role and tasks of police for the safety of the elderly with dementia. Journal of Korean public police and security studies, 15, 213–232.
   Google Scholar
• Lum, K. and Isaac, W., 2016. To predict and serve? Significance, 13 (5), 14–19.
   Google Scholar
• Lum, C., Koper, C.S. and Willis, J., 2017. Understanding the limits of technology's impact on police effectiveness. Police quarterly, 20 (2), 135–163.
   Web of Science ®Google Scholar
• MacAndrew, M., et al. 2018. People with dementia getting lost in Australia: dementia-related missing person reports in the media. Australasian journal on ageing, 37 (3), E97–E103.
   PubMed Web of Science ®Google Scholar
• McGuire, M., 2021. The laughing policebot: automation and the end of policing. Policing and society, 31 (1), 20–36.
   Web of Science ®Google Scholar
• Ming, Z., et al. 2022. Deep learning-based person re-identification methods: a survey and outlook of recent works. Image and vision computing, 119, 104394.
   Web of Science ®Google Scholar
• Moore, K.N., Lampinen, J.M. and Provenzano, A.C., 2016. The role of temporal and spatial information cues in locating missing persons. Applied cognitive psychology, 30 (4), 514–525.
   Web of Science ®Google Scholar
• Morewitz, S.J. and Colls, C.S., 2016. Handbook of missing persons. Switzerland: Springer.
   Google Scholar
• Newiss, G., 2005. A study of the characteristics of outstanding missing persons: implications for the development of police risk assessment. Policing and society, 15 (2), 212–225.
   Google Scholar
• O'Brien, F., Giles, S. and Waring, S., 2023. Relationships between demographic and behavioural factors and spatial behaviour in missing persons' cases. Criminology & criminal justice, 23 (3), 409–430.
   Web of Science ®Google Scholar
• Ozdemir, S., et al. 2022. Development of a visual attention based decision support system for autism spectrum disorder screening. International journal of psychophysiology, 173, 69–81.
   PubMed Web of Science ®Google Scholar
• Pavitt, J., Braines, D. and Tomsett, R., 2021. Cognitive analysis in sports: supporting match analysis and scouting through artificial intelligence. Applied AI letters, 2 (1), e21.
   Google Scholar
• Penney, G., et al. 2022. Threat assessment, sense making, and critical decision-making in police, military, ambulance, and fire services. Cognition, technology & work, 24 (3), 423–439.
   Web of Science ®Google Scholar
• Pensieri, M.G., Garau, M. and Barone, P.M., 2020. Drones as an integral part of remote sensing technologies to help missing people. Drones, 4 (2), 15.
   Google Scholar
• Perwaiz, N., Fraz, M. and Shahzad, M., 2024. Smart surveillance with simultaneous person detection and re-identification. Multimedia tools and applications, 83 (5), 15461–15482.
   Web of Science ®Google Scholar
• Puerto, M.S., et al. 2021. The search process: integrating the investigation and identification of missing and unidentified persons. Forensic science international: synergy, 3, 100154.
   PubMedGoogle Scholar
• Ratcliffe, J.H., Taylor, R.B. and Fisher, R., 2019. Conflicts and congruencies between predictive policing and the patrol officer's craft. Policing and society, 30 (6), 639–655.
   Web of Science ®Google Scholar
• Richards, Y., McClish, M. and Keatley, D., 2023. Finding the missing: using statement analysis to assist in missing persons cases. Journal of criminal psychology, 13 (4), 300–315.
   Web of Science ®Google Scholar
• Rowe, M., et al. 2015. The concept of missing incidents in persons with dementia. In: Healthcare. MDPI, vol. 3, 1121–1132.
   Google Scholar
• Saldaña, J., 2021. The coding manual for qualitative researchers. Thousand Oaks, California: Sage Publications Ltd.
   Google Scholar
• Sanders, C.B. and Lavoie, J., 2021. Boundary objects and technological frames: officer's' perceptions and experiences using mental health screeners on the frontline. Policing and society, 31 (8), 967–981.
   Web of Science ®Google Scholar
• Sandhu, A. and Fussey, P., 2021. The ‘uberization of policing’? how police negotiate and operationalise predictive policing technology. Policing and society, 31 (1), 66–81.
   Web of Science ®Google Scholar
• Tag, C.J., 2019. Missing person reports: focusing on 112 data an empirical analysis on the police handling of analysis and interview with police officers. The Korea association of police science, 21 (3), 195–226.
   Google Scholar
• Tversky, A. and Kahneman, D., 1973. Availability: a heuristic for judging frequency and probability. Cognitive psychology, 5 (2), 207–232.
   Web of Science ®Google Scholar
• van den Heuvel, C., Alison, L. and Power, N., 2014. Coping with uncertainty: police strategies for resilient decision-making and action implementation. Cognition, technology & work, 16, 25–45.
   Web of Science ®Google Scholar
• Verhage, A., et al. 2018. Force, stress, and decision-making within the Belgian police: the impact of stressful situations on police decision-making. Journal of police and criminal psychology, 33, 345–357.
   Web of Science ®Google Scholar
• Wason, P.C. and Evans, J.S.B., 1974. Dual processes in reasoning? Cognition, 3 (2), 141–154.
   Web of Science ®Google Scholar
• Westera, N.J., et al. 2016. The prospective detective: developing the effective detective of the future. Policing and society, 26 (2), 197–209.
   Web of Science ®Google Scholar
• Yang, Q., Steinfeld, A. and Zimmerman, J., 2019. Unremarkable AI: fitting intelligent decision support into critical, clinical decision-making processes. In: Proceedings of the 2019 CHI conference on human factors in computing systems. 1–11.
   Google Scholar
• Yokota, R., et al. 2020. A revisited visual-based geolocalization framework for forensic investigation support tools. Forensic science international: digital investigation, 35, 301088.
   Web of Science ®Google Scholar