CoChat
Sign Up
Cited by 51

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Can a Machine Tend to Teenagers' Emotional Needs?: A Study with Conversational Agents

Kim, Junhan, Kim, Yoojung, Kim, Byungjoon, Yun, Sukyung, Kim, Minjoon, Lee, Joongseek·2018·Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
DOI 10.1145/3170427.3188548
Open this paper in CoChat — free account

Abstract

As teen stress and its negative consequences are on the rise, several studies have attempted to tend to their emotional needs through conversational agents (CAs). However, these attempts have focused on increasing human-like traits of agents, thereby overlooking the possible advantage of machine inherits, such as lack of emotion or the ability to perform calculations. Therefore, this paper aims to shed light on the machine inherits of CAs to help satisfy the emotional needs of teenagers. We conducted a workshop with 20 teenagers, followed by in-depth interviews with six of the participants. We discovered that teenagers expected CAs to (1) be good listeners due to their lack of emotion, (2) keep their secrets by being separated from the human world, and (3) give them advice based on the analysis of sufficient data. Based on our findings, we offer three design guidelines to build CAs.

Overview

Integrity signals

Registry

Crossref · 10.1145/3170427.3188548

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 10

  1. American Psychological Association. Stress in America: Are teens adopting adults' stress habits. Stress in America Surveys. Retrieved January 22, 2018 from http://www.apa.org/news/press/releases/stress/2013/stressreport.pdf
  2. 10.1177/070674379403900109 · DOI
  3. Lyon, David, ed. Surveillance as social sorting: Privacy, risk, and digital discrimination. Psychology Press, 2003.
  4. Hyeon Ju Lee. A comparative study of the perceptions of the secondary school teachers and students on the status of school counseling and the school counselor's role. The Korean Journal of Educational Psychology. 17 4 (Dec. 2003) 1--20.
  5. 10.1145/2858036.2858288 · DOI · Paper page
  6. Kyung Sook Lee and Jung Ho Kim. 2000, The Effects of Study Stress Coping Training Program on the Reduction of Study Stress and the Academic Achievements of High School Students. The Korean Journal of Health Psychology. 5, 1 (June 2000), 43--59.
  7. 10.1145/1514095.1514158 · DOI
  8. 10.1075/is.5.2.02rob · DOI
  9. Ian Rowlands, David Nicholas, Peter Williams, Paul Huntington, Maggie Fieldhouse, Barrie Gunter, ... & Carol Tenopir. 2008. The Google generation: the information behaviour of the researcher of the future. In Aslib proc (Vol. 60, No. 4, pp. 290310). Emerald Group Publishing Limited.
  10. Linda Patia Spear. 2009. Heightened stress responsivity and emotional reactivity during pubertal maturation: Implications for psychopathology. Development and psychopathology. 21, 1 (January 2009), 87--97.

Cited by

Sorted by citations

See all 51

Metadata

Authors
Kim, J., Kim, Y., Kim, B., Yun, S., Kim, M., & Lee, J.
Affiliations
  • Seoul National University, Seoul, Korea, Rebublic of Korea
  • Seoul National University, Seoul, Rebublic of Korea
  • Seoul national University, Seoul, Rebublic of Korea
  • Seoul National Universtiy, Seoul, Rebublic of Korea
Venue
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2018-04-20
Pages
1-6
DOI
10.1145/3170427.3188548
Cited by
51
References
5
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review