Masotina, Mariavittoria and Spagnolli, Anna (2022) Privacy notices_BIT paper. [Data Collection]
Collection description
Datasets related to three experiments (Study1: N = 132; Study 2: N = 128; Study 3: N = 91) with anonymous data collected for a work published on Behavior & Information Technology and part of a doctoral thesis. The datasets of the first two studies contain the following variables: ID (participant’s ID); Condition (experimental condition; categorical); Explicitness (mention of the cause of the appearance of the notice in its text; dichotomous); Consecutiveness (consecutiveness of the notice presented to the participant; dichotomous); Reading (response to the item asking if the participant read the notice; categorical); Reading_coded (dichotomous); Cause (response to the item asking the cause of the appearance of the notice; categorical); Cause_coded (dichotomous); Topic (response to the item asking the topic of the notice; categorical); Topic_coded (dichotomous); Perceived_C1 (response to the first item asking the participant’s level of perceived comprehension; 5-point Likert scale from “Strongly disagree” to “Strongly agree"); Perceived_C2 (response to the second item asking the participant’s level of perceived comprehension; 5-point Likert scale from “Strongly disagree” to “Strongly agree”); Clarity (average score of three items asking the level of clarity of the notice; 5-point Likert scale from “Strongly disagree” to “Strongly agree”); Control (response to the item asking the participant’s sense of control over his/her data; 5-point Likert scale from “Strongly disagree” to “Strongly agree”); Privacy_concerns (average score of five items asking the level privacy concerns; 5-point Likert scale from “Strongly disagree” to “Strongly agree”); Response_time_sec (time elapsed from the notice appearance to the participant’s response to the notice, in seconds); Response (participant’s response to the notice; dichotomous); Novelty (response to the item asking whether the participant noticed differences between the notice s/he saw and the ones s/he is used to see; dichotomous); Habits (response to the item asking the participant’s usual response to similar notice; categorical); Gender (response to the item asking the participant’s gender; dichotomous); Age (response to the item asking the participant’s age coded in under30/over30; dichotomous); Education (response to the item asking the participant’s level of education coded in HighSchool/University; dichotomous); First_language (participant’s first language). The dataset of the third study contains the following variables: ID (participant’s ID); Condition (experimental condition; categorical); Explicitness (mention of the cause of the appearance of the notice in its text; dichotomous); Consecutiveness (consecutiveness of the notice presented to the participant; dichotomous); Reading (response to the item asking if the participant read the notice; categorical); Reading_coded (dichotomous); Generic_topic_coded (correctness of the participant’s response to the open-answer item asking the topic of the notice; dichotomous); Specific_topic (response to the item asking the specific topic of the notice; categorical); Cause (response to the item asking the cause of the appearance of the notice; categorical); Privacy_concerns (average score of five items asking the level privacy concerns; 5-point Likert scale from “Strongly disagree” to “Strongly agree”); Response_time_sec (time elapsed from the notice appearance to the participant’s response to the notice, in seconds); Response (participant’s response to the notice; dichotomous); Novelty (response to the item asking whether the participant noticed differences between the notice s/he saw and the ones s/he is used to see; dichotomous); Habits (response to the item asking the participant’s usual response to similar notice; categorical); Gender (response to the item asking the participant’s gender; dichotomous); Age (response to the item asking the participant’s age coded in under30/over30; dichotomous); Education (response to the item asking the participant’s level of education coded in HighSchool/University; dichotomous); First_language (participant’s first language).
| DOI: |  10.25430/researchdata.cab.unipd.it.00000637 |
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| Keywords: | Usable Privacy, Transparency, Privacy notices, Comprehension, Context | |||||||||
| Subjects: | Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Human computer interaction and interface, visualisation and natural language processing | |||||||||
| Department: | Departments > Dipartimento di Psicologia Generale (DPG) | |||||||||
| Depositing User: | Mariavittoria Masotina | |||||||||
| Date Deposited: | 09 May 2022 06:58 | |||||||||
| Last Modified: | 09 May 2022 06:58 | |||||||||
| Creators/Authors: |
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| Type of data: | Database | |||||||||
| Research funder: | UNIPD doctoral grant | |||||||||
| Collection period: |
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| Resource language: | English | |||||||||
| Metadata language: | English | |||||||||
| Publisher: | Research Data Unipd | |||||||||
| Date: | 6 May 2022 | |||||||||
| Copyright holders: | The Author | |||||||||
| URI: | https://researchdata.cab.unipd.it/id/eprint/637 |
orcid.org/0000-0002-7964-7186
