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Perception of Mixed-Reality Shopping Assistant System to develop Design Principles : Interview Transcripts (MRDP)

<p>The dataset is a collection of transcripts where&nbsp; 35 participants were interviewed&nbsp;to collect users&rsquo;&rsquo; feedback and perceptions about the mixed-reality MR shopping assistant system. The interviews were a part of the research where&nbsp;a personal shopping assistance system based on optical see-through mixed-reality (MR&nbsp;) technology was designed. Microsoft HoloLens 2 was leveraged as the archetype to realize this novel system to facilitating consumer information search and decision making. The design incorporated&nbsp;various shopping assistance elements (i.e., product information, reviews, recommendations, product availability, videos, a virtual cart, and an option to buy). Users can interact with these elements with gesture-based inputs to navigate through the interface.</p> <p>Derived from the qualitative feedback from the 35 participants, we proposed six design principles that aim to support future designs and developments of mixed-reality MR shopping applications for head-mounted displays in omnichannel retail: Rigor, Informativeness, Tangibility, Summary, Comparability and Holism. &nbsp;</p> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4