Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems 2015
DOI: 10.1145/2702613.2732500
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Deep Cover HCI

Abstract: The growing popularity of methodologies that turn "to the wild" for real world data creates new ethical issues for the HCI community. For investigations questioning interactions in public or transient spaces, crowd interaction, or natural behaviour, uncontrolled and uninfluenced (by the experimenter) experiences represent the ideal evaluation environment. We argue that covert research can be completed rigorously and ethically to expand our knowledge of ubiquitous technologies. Our approach, which we call Deep … Show more

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Cited by 8 publications
(7 citation statements)
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“…But defining what "valid" or "authentic" data constitutes in public evaluations is hard and the research community lacks a shared ideal of validity [1]. There are strong but conflicting arguments for covert methods [34], mixed methods [33], and participant observations [15,29].…”
Section: Authenticitymentioning
confidence: 99%
See 4 more Smart Citations
“…But defining what "valid" or "authentic" data constitutes in public evaluations is hard and the research community lacks a shared ideal of validity [1]. There are strong but conflicting arguments for covert methods [34], mixed methods [33], and participant observations [15,29].…”
Section: Authenticitymentioning
confidence: 99%
“…There are significant practical and theoretical ethical challenges in public evaluations [32,34]. The core ethical issue is that capturing authentic experience may demand that participants not be aware they are involved in an evaluation [32][34].…”
Section: Ethicsmentioning
confidence: 99%
See 3 more Smart Citations