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Allison K. Tanaka

dblp:433/3196 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0001-4661-7765ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 44% Design research and methods · 44% Learning and educational technologies · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › social robot
social robot companion
1.012026
RIP Moxie: Lessons for Supporting Emotional Detachment at Product End-of-Life through a Case Study of a Social Companion Robot · CHI 2026
Learning and educational technologies
social-emotional learning
0.312026
RIP Moxie: Lessons for Supporting Emotional Detachment at Product End-of-Life through a Case Study of a Social Companion Robot · CHI 2026

Methods — techniques the papers use, named apart from their topics

qualitative analysis · 1.0case study · 1.0
YearPublicationVenuePosition
2026 RIP Moxie: Lessons for Supporting Emotional Detachment at Product End-of-Life through a Case Study of a Social Companion Robot
abstract
Meaningful connections formed between people and robots are a key factor in sustaining long-term interaction. Yet while onboarding experiences for social robot products are often carefully designed to cultivate these bonds, offboarding receives far less attention. This imbalance can result in abrupt disruptions in human-robot bonds when products reach end-of-life. In this paper, we examine a case study describing the shutdown of Moxie, a social robot designed to support children’s socio-emotional learning. Through a qualitative analysis of the company’s public communications and users’ online reactions to the shutdown, we identify key missed opportunities to prepare and support users throughout the robot’s final interactions. In the absence of a structured offboarding experience, the emotional, technical, and communicative burdens were shifted to parents. Drawing from these findings, we introduce ethical sunsetting recommendations for social robots and offer a reimagined offboarding experience aimed at supporting healthy emotional detachment during product end-of-life.
Bengisu Cagiltay, Rebecca M. Jonas, Allison K. Tanaka, Norman Makoto Su
CHI3