Open AccessShopping for Clothes: From Meeting Individual Needs to Socializing
Author(s) -
P.R.R. Sinha,
Arwa Alsubhi,
Saroj Kumar Dash,
Guo Li-jie,
Bart P. Knijnenburg
Publication year - 2017
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/hci2017.78
Subject(s) - clothing , bridge (graph theory) , computer science , phenomenon , grounded theory , process (computing) , online and offline , conceptual model , social media , human–computer interaction , data science , advertising , world wide web , business , sociology , qualitative research , database , archaeology , medicine , social science , physics , quantum mechanics , history , operating system
In this paper, we analyze how shopping for clothes continues to be a social phenomenon, despite technological advances. Using a grounded theory approach, we coded 16 semi-structured interviews to develop process models of online and in-store shopping and to identify the constraints of each method. We then analyzed apparel shopping from the lens of Engeström’s model of Activity Theory to compare online and in-store shopping at a conceptual level. We offer design recommendations for building systems and processes that bridge the gap between online and offline shopping.
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