Title | ||
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How to Design Interfaces for Product Recommendation Agents to Influence the Purchase of Environmentally-Friendly Products. |
Abstract | ||
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This study focuses on how to design the interfaces of a product recommendation agent (PRA) that would influence its users to purchase products that are beneficial for the environment. In particular, we discuss how to design various affect cues in a PRA interface to change customersu0027 preference levels on key environmentally related product attributes, and thus influence their final product choice. Based on the theory of affect heuristics and the General Evaluability Theory, we design three types of affective cues with different levels of evaluability. The findings of an experiment conducted to assess the impact of these designs indicate that affective cues with high and medium levels of evaluability induced participants to prefer products of higher greenness levels. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/HICSS.2016.83 | HICSS |
Keywords | Field | DocType |
consumer behaviour,graphical user interfaces,purchasing,recommender systems,PRA interface,affective cues,customer preference levels,environmentally related product attributes,environmentally-friendly product purchase,general evaluability theory,greenness levels,heuristics,high-evaluability level,interface design,medium-evaluability level,product recommendation agents,affective cues,green purchase,interface design,product recommendation agents,the General Evaluability Theory | Final product,Visualization,Computer science,Environmentally friendly,Noise level,Knowledge management,Heuristics,Cognition,Affect (psychology),Interface design | Conference |
ISSN | Citations | PageRank |
1060-3425 | 0 | 0.34 |
References | Authors | |
4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tian Yu | 1 | 1 | 0.75 |
Izak Benbasat | 2 | 2598 | 174.49 |
Ronald T. Cenfetelli | 3 | 778 | 28.43 |