Perception of Mixed-Reality Shopping Assistant System to develop Design Principles : Interview Transcripts (MRDP)
<p>The dataset is a collection of transcripts where 35 participants were interviewed to collect users’’ feedback and perceptions about the mixed-reality MR shopping assistant system. The interviews were a part of the research where a personal shopping assistance system based on optical see-through mixed-reality (MR ) 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 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. </p> <p> </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