Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14351
Title: | Technology-assisted reconstruction: a new alternative to the experience sampling method | Authors: | Karapanos, Evangelos | Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Experience sampling;Day reconstruction;Ecological momentary assessment;Ambulatory assessment;Insitu measurement | Issue Date: | 2-Jul-2020 | Source: | Behaviour & Information Technology, 2020, vol. 39, no. 7, pp. 722 - 740 | Volume: | 39 | Issue: | 7 | Start page: | 722 | End page: | 740 | Journal: | Behaviour & Information Technology | Abstract: | Despite the recent increase in interest in the experience sampling method (ESM), researchers have repeatedly criticised the high burden and levels of interruption that it imposes on participants, and alternative cost-effective methods, such as the Day Reconstruction Method (DRM), have been adopted by the Human-Computer Interaction (HCI) community. In this paper, we review the use of ESM and DRM in the HCI field and argue for a new paradigm called Technology-Assisted Reconstruction (TAR), according to which passively logged data of users’ behaviours are used in assisting the later reconstruction of experiences and behaviours. We discuss five methods of Technology-Assisted Reconstruction that we have developed in our past work and conclude with a framework that highlights three directions for Technology-Assisted Reconstruction. | ISSN: | 0144929X | DOI: | 10.1080/0144929X.2019.1608303 | Rights: | © Informa UK Limited, trading as Taylor & Francis Group. | Type: | Article | Affiliation : | Cyprus University of Technology | Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
5
checked on Nov 6, 2023
WEB OF SCIENCETM
Citations
4
Last Week
0
0
Last month
0
0
checked on Oct 29, 2023
Page view(s) 50
381
Last Week
0
0
Last month
7
7
checked on Dec 3, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.